Iron and zinc levels in meat from different species (mg/100 g) [61, 62].
\r\n\t
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Quantum chemistry and thermodynamics seem to be two incommensurable scientific worlds the assumptions and the statements of which are thoroughly different. So my questions are: How was thermodynamics been integrated into the chemical quantum background at the very beginning of quantum chemistry? What are its role and status in current
I refer both to history and epistemology to grasp this entanglement of scientific approaches. First of all, I propose to analyze how thermodynamics became involved in chemistry. In this respect, I will point out how the concept of energy provides the old chemical affinity with a quantitative tool to understand chemical transformations. The birth of thermochemistry aroused opposition between two old rival conceptions of matter that framed the history of chemistry, that is to say the aggregate and the ‘mixt’ stances A ‘mixt’ is a chemical combination composed of elements but not bearing the same properties as the constitutive elements. Conversely, an aggregate is a mere additive combinations of elements and their properties.
I will then highlight that this duality of conceptions was still at stake when Mulliken and Pauling created two different quantum chemical approaches. In this context, thermodynamics was not just used as a mere tool to calibrate methods; it also guided the contrivance of new quantum concepts or parameters from the outset. Following this line of reasoning, I will query how the concept of ‘state’, be it electronic or thermodynamic, allows us to bridge thermodynamics to quantum chemistry in a different way. I will indicate why and how the second law of thermodynamics is reflexively of importance to understand molecular calculations and to better grasp the relation between a molecular “whole” and its respective parts.
These investigations are widened by a global overview of the ways thermodynamic parameters are currently involved in workaday quantum methods in order to describe molecular reactivity.
To conclude, the paper will query the status of thermodynamics in predictive quantum methods. I will insist on the status of the concept of energy and the heuristic power of the second law of thermodynamics on quantum grounds.
The new rules of the French Royal Academy of sciences (1699), Wilhelm Homberg’s work on the interchangeability of ‘average’ -now called ‘neutral’- salts, the mechanist philosophy influences at the end of the seventeenth century, and as well Paracelsus and the alchemists’ traditions, paved the way for the empirical production of affinity tables during the 18th century. From Etienne-François Geoffroy (1718) to Bergman (1775), these tables were multiplied; some chemists, such as Guyton de Morveau (1773), developed the first experimental devices to quantify these affinities (Mi Gyung, 2003; Partington, 1962).
A shift of the explanatory function of the principles – Aristotelian, Paracelsian, or other, which previously accounted for qualities and chemical transmutations, towards the state of union between two chemical substances and the concept of process which implies union and disunion, gradually occurred (Bensaude-Vincent & Stengers, 1996). This major epistemological upheaval led to the attraction between chemical bodies being operationally redefined within the context of salts chemistry. The key question of the force or power which governed the chemical combinations remained rather unclear and mysterious according to Henri Sainte Claire Deville (Deville, 1864) until the chemists integrated knowledge of calorific and thermodynamics into their own practices.
Using a new calorimeter with mercury, J.T. Silbermann and P.A Favre showed for the first time in 1852 that a chemical decomposition could involve a release of heat. At the same time, Julius Thomsen published a paper entitled The French original sentence is : ‘Lorsque la combinaison se produit, il se dégage une quantité de chaleur proportionnelle à l’affinité des deux corps.‘
As Thermochemistry began to develop, chemists paid attention to other facts which first appeared foreign from each other. In 1852, Edmond Fremy and Henri Becquerel showed that the production of ozone was an incomplete reaction, a conclusion that Berthelot and Pan de Saint Gilles also reached for the esterification reaction ten years later. The chemical reaction appeared limited and dependent on the time factor, Sainte Claire Deville and his collaborators widened and strengthened those findings thanks to many experiments (Daumas, 1946). After many attempts, Maximilian Güldberg and Peter Waage asserted in 1861 that they were able to "find for each element and each chemical combination, numbers which express their relative affinity" The French original sentence is : " (…) trouver pour chaque élément et pour chaque combinaison chimique, des nombres qui expriment leur affinité relative"
The development of the energy approach in chemistry was the result of a fortuitous combination of independent works proposed by Wilhelm Hortsmann in Germany, by Josiah Willard Gibbs in America and by Bakhuis Roozeboom and J.H. Van\'t Hoff in Holland. Hortsmann integrated Rudolf Clausius’ considerations on isolated systems into chemistry. In so doing, he rediscovered in 1873 the law of mass action by means of calculation without having any idea that it had already been found on other grounds. The same year, Gibbs, published a paper entitled ‘
Applications to experimental chemistry by the Dutch school, for example, Roozeboom had to cope with difficulties in interpreting hydrobromic acid decomposition in the presence of water in the gas phase. His colleague physicist J.D. Van der Waals suggested to him to use Gibbs’s work and helped him to put forward the so-called
At the beginning of the twentieth century, chemists attempted to know not loner why, but how matter is transformed. Chemical kinetics studied the process of transformation of matter. Swante Arrhenius introduced the concept of energy activation, researches gradually turned to focus on the question of the energy transfer and the direction of collisions between chemical bodies. Wilhelm Ostwald succeeded in describing chemical equilibrium without making any reference to atoms (Ostwald, 1919). Two antagonistic approaches of matter were at stake. Thermochemistry revolved around energy and denied any reality to atoms whereas chemical kinetics was based on the atomic assumption. Thomsen, for instance, used structural theory to assign heats of formation to specific bond types found in organic molecules. In this respect, he tried to reduce chemical properties to a mere juxtaposition of atomic properties. Others, like F.W. Clarke tried to connect the heat of formation with the one and only number of atomic linkages within the molecule. By doing so, he tried to connect valence with affinity (Weininger, 2001). All the attempts that tried to understand affinity thanks to additive and reductive descriptions failed.
To sum up this first part, I would like to emphasize that the integration of thermodynamics within the frameworks of chemistry was made possible because chemists were looking for a quantitative measure of affinity. The way thermodynamics became thermochemistry depended on the instrumentation and the practices that chemists contrived to tackle the challenge of affinity. As the philosopher Joseph Rouse points out: ‘Practices are not just pattern of action, but the meaningful configurations of the world within which actions can take place intelligibly, and thus practices incorporate the objects that they are enacted with and on and the settings in which they are enacted’. (Rouse, 1996, p.135). Thermodynamics was thus integrated into chemical projects and then transformed by such integration because it made chemists goals achievable and intelligible within such new practical backgrounds.
I suggest we should take more distance and consider the whole history of chemistry to analyze the way this integration actually took place. Let us widen the circle to grasp what is at stake behind this integration and how the duel between different conceptions of matter will remain active at the very beginning of quantum chemistry. This study will enable us to understand the role of thermodynamics in the first chemical quantum calculations.
First and foremost, I would like to develop the opposition of conceptions of matter we previously stressed. Duhem’s claim for an energy description of molecules that need not rely on any atomic assumption reminds us of other historical oppositions.
In the seventeenth century for instance, Nicolas Lemery in his famous
Not only did thermodynamics enable chemists to construe a quantitative version of affinity but it also fitted very well into the cultural background that had been framing chemists’ activities for a long time. Thermodynamics embodiment within chemical practices was thus at least twofold; it provided chemists with quantitative tools for understanding chemical reaction while recasting old oppositions of matter representations. Along with this perspective, thermodynamics could easily be integrated into the usual chemical way of thinking about matter while reconfiguring it. As Rouse claims (1996, p.157): ’In order to understand how scientific knowledge is situated within practices, we need to take account of how practices are connected to one another, for knowledge will be established only through these interconnections. Scientific knowing is not located in some privileged type of practice, whether it be experimental manipulation, theoretical modeling, or reasoning from evidence, but in the ways these practices and others become intelligible together.’
Duhem focused his work on the dichotomy between the ‘mixt’ and the aggregate referring to Aristotle’s philosophy (Needham, 1996). Like Sainte-Claire Deville and Berthellot, but not because of the same positivist reasons, he rejected atomism then deeply rooted in structural organic chemistry. According to the structural molecular paradigm, the physical arrangement of the constituent elements accounted for the properties of the whole compound. Since Lavoisier, chemists have been explaining the properties of compounds by reference to the nature, the proportion and, more recently, the bonds of its constitutive parts, be they atoms or elements: a logic that runs from simple to complex frameworks in post-Lavoisian chemistry (Bensaude-Vincent & Simon, 2008). Conversely, the holistic energy approach used compounds to explain the properties of the elements. In this respect, atomism had a weak explanatory power because it could not completely illuminate chemical processes. According to Duhem, chemical formula could make chemists believe that substances remained unchanged when they entered into combinations whereas they only existed potentially within them (Duhem, 1902). Joseph Earley has recently proposed an argument on the same lines. He uses the example of sea water in which salt and water cease to exist in their actual states–because for instance of solvatation- but they can be reproduced by distillation (Earley, 2007). When the ‘mixt’ ceases to exist, it is made to reproduce its separate constituents as Venel might have asserted. In this respect, water and salt potentially exist in sea water but do not actually exist within it. Duhem then undertook to retranslate Aristotle’s concept of power into that of the thermodynamic potential (Duhem, 1902). Measurable properties and mathematics allowed him to describe chemical reaction within the context of thermochemistry.
Duhem rejected both the idea of valence taken as an intrinsic atomic property and the concept of atomicity. According to him, the whole components could only give rise to valence information but not the contrary. The opposition between a holistic approach of chemical bodies on the one hand and the aggregative atomic description on the other hand will appear of primary importance at the very beginning of quantum chemistry. I propose to study how Linus Pauling and Robert Sanderson Mulliken created the first chemical quantum approaches in the context described before and how they integrated thermodynamics and quantum mechanics into chemistry.
Both standardization and precision were required if thermodynamic bond measurements were to play a significant role in calibrating innovative methods and stabilizing new theories about affinity as well as about valence or the chemical bond (Servos, 1990). The Russian-Polish Wojciech Swietolawski played a leading role in this challenge (Médoire & Tachoire, 1994). His work provided chemists with more accurate average bond energies that legitimized heat of reactions calculations. Weininger clearly shows how those thermodynamic data made researchers get to grips with valence within the atomist conception. He points out for instance how Morris Kharash used the Niels Bohr’s orbit model to propose a physical picture of thermodynamic quantities. This heuristic approach validated by Swientoslawski’s data enabled him to derive heats of combustion for hydrocarbons in quite good agreement with experiment (Weininger, 2001). But it was Linus Pauling who succeeded in bridging valence, atomic theory and thermochemistry.
Pauling’s work constitutively entangled thermodynamics with the Pauli Exclusion Principle, Heisenberg and Dirac’s approach of resonance, structural chemistry and Born’s probabilistic description (Pauling, 1928). We should bear in mind that he was first trained as a crystallographer to understand the way he shaped his experimental and theoretical crowded network that was the
To understand Pauling’s molecular description, one needs: (1) to connect the molecular structure to its constitutive atoms; (2) to study how those atoms interact from within the molecule. This model retains the integrity of the atoms inside the molecule, a molecule is considered as an
The study of diatomic molecule enabled Pauling to propose the concept of ‘normal
Mulliken proposed a very different quantum approach based on molecular spectroscopy. With regard to the concept of valence considered as an intrinsic property of the atom, Mulliken opposed the notion of ‘energy state’ deduced from molecular spectra on the basis of an
The semantic shift from the concept of molecular
At the very beginning of his investigations, Mulliken mainly used molecular spectroscopy data. He seldom referred to thermochemistry except for necessary calibration requirements. It is important to notice nevertheless that thermodynamics was influential when he envisaged the study of larger molecules by using group theory. I think it is important not only to check if his holistic molecular conception changed the way thermodynamics became involved in chemical quantum works; but also to compare it to Pauling’s own use of thermal data.
Mulliken’s studies of hyperconjugation are a relevant case study to grasp the role and the status of thermodynamics in such a chemical quantum background (Mulliken et al., 1941). Mulliken’s calculations taken in connection with thermal and bond distance data indicated the conjugating power of chemical groups such as the landmark methyl group. With respect to strength and stability, he could then label the single or the multiple bonds of a conjugated system as acceptor and donor bonds, respectively. The thermal data allowed him to postulate that the hyperconjugation energy of saturated hydrocarbons was to a good approximation a function only of the numbers of different types of bonds. Using localized and non-localized molecular orbitals, he described the conjugation or resonance energy as the energy of delocalisation. In order to approximate quantitative calculations, he wrote the molecular orbital as a Linear Combination of Atomic Orbitals –LCAO- within the Hartree-Fock self-consistent field approach –labelled LCAO MO SCF-.
Unlike Pauling, he systematically used heats of combustion rather than bond energies referring to Karash and W.G. Brown’s corrected tables mainly construed by using hydrogenation heats data. Mulliken and al. wrote: ‘Our procedure for deriving conjugation energy from thermal data is similar to that of Pauling and Sherman who, assuming additivity of bond energies (with corrections for special groups), compute energies of formation and interpret deviations therefrom as resonance energies. However, we shall work with heats of combustion.’ (Mulliken et al., 1941).
Heats of combustion enabled Mulliken to put forward formula to calculate conjugation energies from heats of combustion that fitted the available consistent data for gaseous saturated hydrocarbons - except methane - with considerable accuracy – mostly better than 1 kcal. The current practice of research then involved a rich set of corrections within which quantum formalism, approximations, chemical knowledge and thermochemistry were deeply intertwined in order to create a stabilized composite knowledge of conjugation energy for particular types of molecules. For instance, Mulliken tailored Lennard-Jones’s curves to make them fit the empirical data, he then determined wave function coefficients by defining and substituting new parameters in the secular determinant, and finally extracted from the computed conjugation energies some energy quantities - the third-order conjugation energy - to make a direct comparison with observed conjugation energy. By trial and error, a host of other corrections and readjustments enabled him to determine the total conjugation energy and to compare it to thermodynamic outcomes. Mulliken and al. wrote (p.56): ‘Perhaps the most uncertain feature of our analysis is the derivation from thermal data. (...). Our empirical parameters, our bond order curve, and our numerical conclusions would then be so strongly altered, since they are decidedly sensitive to variations in the empirical conjugation energies to which they are fitted. Nevertheless, their self-consistency gives a distinct support to our numerical results, since we have found that such self-consistency is not easy to attain.’ (Mulliken et al., 1941). The authors called for more accurate thermal and bond distances data, those researches got into an endless and open circle of refinements that linked calculations with empirical data. It is of importance to notice that this work led the authors to provide Hückel’s resonance parameter ‘β’ with a new interpretation that allowed a more satisfactory understanding of energy interactions within unsaturated molecules. This theoretical accommodation was then confirmed by spectroscopic data. Thermodynamics not only took part in a motley complex of scientific practices that made it possible for a quantum chemist to calculate molecular properties and to predict chemical reactivity, but it also partly altered the meaning of the theoretical quantum background. I wish to emphasize that thermodynamics was not a mere tool for calibrating a semi-empirical method but a constitutive active part of a techno scientific network that Mulliken and others shaped to study a molecule understood as a ‘mixt’.
In addition to this conclusion, there are other interesting facts we should take a look at. Mulliken and Parr studied the decrease in ‘π’ electron energy for the change from a Kekulé to a proper benzene structure by using a
I claim that this difference of practice from Pauling to Mulliken was in a way a consequence of the two conceptual schemes at stake. On the one hand, the aggregative Pauling’s approach focused on a reified chemical bond that resulted in valence electrons share. Pauling was indeed interested by the formation energy of a molecule from its parts. On the other hand, Mulliken used chemical reaction combustion data because he considered the way the ‘whole’ molecule reacted and released energy by thermal transfer in the presence of other chemical reactants and their surroundings. Pauling’s bottom-up analysis collapsed Mulliken’s holistic way of thinking. I think that my statement is to be qualified insofar as we should wonder if pragmatic reasons were also at stake concerning this choice of data. Heats of combustion corrected tables probably were more useful for Mulliken than others.
At that time, chemical affinity turned out to play no role in the integration of thermodynamics into quantum methods simply because researchers’ presumptions did not consider it as a challenge to face anymore. On the contrary, the duality of the two conceptions of matter were still at work and underpinned the way Mulliken and Pauling were using thermochemistry while doing quantum chemistry. So I emphasize that the way thermodynamics became involved in quantum chemistry partly depended on different human stories and skills -Pauling was first a chemist and crystallographer whereas Mulliken was trained as a chemist and a spectroscopist. Others were mathematicians, organic chemists, and so on. But it also depended on different representations of matter – the aggregate and the ‘mixt’. Practices of research, human skills and goals, human and non human agency, time, concepts and representations interactively took part in the integration of thermodynamics into the earlier quantum realm.
Before I move on to modern quantum chemistry, I would like to further examine the relation between earlier quantum methods and thermodynamics by querying the concept of ‘state’, be it electronic, quantum or thermodynamic.
Quantum chemistry is the result of a deep entanglement of scientific and human practices within which thermodynamics was an active generator of concepts and a tool for method calibration. If we want to query the role and status of thermodynamics in quantum chemistry, it is necessary to consider the practices of research from which they originate,
It is of interest to point out that quantum formalism gives rise to miscellaneous chemical quantum approaches depending on both chemical cultural resources and practical scientific backgrounds. It is astonishing however to notice that an atomic approach such as that of Pauling could have successfully developed on quantum grounds. The notion of atomic parts within a molecule is indeed deprived of meaning in quantum mechanics. The holistic approach of Mulliken seems much more understandable in a holistic, contextual and non-representionalist quantum theory. The final results reached by those methods are not pure quantum physics applications. This is a crucial point to bear in mind.
Let us deepen our study of Mulliken’s molecular orbital framework to illuminate his fine-grained relation with thermodynamics. Mulliken first worked on the couplings between orbital kinetic moments and of spin suggested by Friedrich Hund. In 1927, Hund developed an approach radically different from the work developed by Walter Heitler and Fritz London and generalized the study of Oyvind Burrau to diatomic molecules. Rather than built a molecular wave function from those describing isolated atoms, he proposed to describe each electron in the total molecular electric field of the nuclei and other electrons. Hund focused on the evolution of electronic energy during the transfer of an orbit around the joined nuclei to an orbit around the separate atoms isolated from each other. On the basis of works developed by Erwin Schrödinger, Pascual Jordan and Max Born, Hund was able to describe the exact stationary states of the two subsystems knowing those of the system by using linear combination. He wrote: ’We investigate a system with one degree of freedom as an analogous for a molecule with several atoms, using quantum mechanics. Its potential energy has several minima. We can relate the stationary states of such a system to those of partial systems that result when the separation between the minima becomes infinite or when the potential energy separating them becomes infinite. In agreement with this (and in opposition to the classical theory) we obtain an adiabatic relation between the states of two separated atoms or ions, the states of a two-atomic molecule and the states of the atom that would result when the nuclei are united. This relation allows for a qualitatively valid term system of the molecule and for an explanation of the terms ‘polar molecule’ and ‘ion lattice
Within the framework of thermodynamics, a system is involved in an adiabatic process if it does not exchange any thermal energy – any heat - with the outside. It can exchange only work. In mechanics, an adiabatic process is characterized by the fact that within infinitely slow changes of external parameters, the system evolves through successive states of equilibrium. In this kind of process, some quantities remain invariant, physicists call them adiabatic invariants. The adiabatic hypothesis, which was originally developed by Paul Ehrenfest, considers that the quantum conditions must always be such that the adiabatic invariants of classical mechanics are equal to an integer multiple of the quantum of action. You can infer the values of the states of a system from quantum states of another system that can be reached by an adiabatic transformation. The difficulty related to the conservation of quantities when changing orbits, evoked by Hund, disappears when the problem is studied within the framework of quantum theory. We realize that beyond semantic diversity of words such as ‘state’ or ‘adiabatic’, what is at stake is the way quantum physics can encompass classics physics as a limited case in precise contexts. Researchers were inventing a new quantum chemical scheme, while using general scientific and linguistic devices to link it with different previous theories. The notion of ‘state’ related to that of the ‘equilibrium state’ involved in thermodynamics is not tantamount to that of a ‘quantum state’ that only provides scientists with the calculation of the probability of each set of ‘observables’ from within a precise experiment context (Bitbol, 1998). The quantum state is related to a predictive symbolism that enables scientists to study holistic systems constitutively entangled with apparatus, that is to say the study of which cannot be separated from the context of measurement. Thermodynamics and quantum chemistry are nevertheless holistic, the former is descriptive at a macroscopic level, the later is predictive at a microscopic one. In this respect, it is not surprising that scientists tried and try to bridge those approaches in what we call different levels of our universe. What may the link between the two levels be? What are the necessary pre-conditions for tuning them? What may be the link between an energy quantum study of a molecule understood as a ‘whole’ at a microscopic level, and the energy of a set of molecules at a level described by thermodynamics?
Dealing with relations between a molecule and it parts, G.K. Vemulapalli noticed that: ‘While properties of the whole are not the sums or products of the properties of parts, the states of the system can be obtained by adding the states of parts. Because properties in turn can be derived from the states, it appears that we have shown that properties of wholes are completely determined by parts. But there are two problems here. (1) It is true that the states of the system are composed of states of the parts, but there are also weighting factors in the composition. There are the constants λ in the linear combination. What factors determine these constants? (2) Just as in the molecular wave function, an atomic wave function may also be represented by a sum of an arbitrary set of functions. Thus one may claim that an atomic function is a linear combination of molecular functions or atomic states (parts) reduced to molecular states (wholes!).’ (Vemulapalli, 2003). If we set apart that the notion of properties as open to criticism in quantum contexts and the linguistic traps related to it, the author’s insight is relevant to query the interrelation between levels of description studied by quantum chemistry.
The arbitrary character of the relation between the whole and its parts is highlighted. It remains more than ever present in current semi-empirical or
Vemulapalli referred to the second law of thermodynamics to explain why the studied molecular system continuously eliminates its excess energy by interactions with its environment. An energy transformation into local entropy returns legitimates the use of the Variational Principle. Vemulapalli added: ‘Thus we are led to conclude that it doesn’t matter what the states of the parts are, but it does matter the surroundings soak up the excess energy of the molecule, increasing entropy, and make the molecule settle down into the lowest energy state. It is that part of the universe coupled to the system, and the varieties of interactions between the system (molecules) and the surroundings that determines the structure of the molecule. Holism thus appears as the root of the apparent reduction of properties of a molecule to its parts through coupling states. We are able to follow a reductionist program in calculating molecular properties, but what we are able to do is a gift of holism
To sum up, we have focused our work on the way thermodynamics was used from within the earlier quantum chemical methods. We have shown that the opposition between the ‘aggregate’ and the ‘mixt’ was still at stake when explaining the integration of thermodynamics into quantum chemistry. Taking distance from linguistic traps concerning words such as ‘state’ or ‘adiabatic’, and by reflecting upon the relations between the levels of scientific description – a molecule to its alleged constitutive atoms or the macroscopic and microscopic scales -, we confirm that epistemology can provide us with another kind of understanding of the interrelations between thermodynamics and quantum chemistry. I would like to turn now to modern quantum methods and to examine how they involved thermodynamics. I choose to develop the example of the density functional theory - DFT -which has been widely used for twenty years in research laboratories.
Kohn–Sham density functional theory has become one of the most popular tools in electronic-structure theory due to its excellent performance-cost ratio as compared with correlated wave function theory, WFT. Within this theory, the molecular space is divided into grids of cubes; researchers define an electronic density for each point of this space. It is a holistic approach that enables quantum chemists to calculate molecular geometry or total energy exhaustively thanks to its electronic density – ‘ρ(r)’ -, provided that its Ground-State is not degenerate. The total energy is in consequence a
The first generation of functionals is called the local spin density approximation – LSDA -, in which density functionals depend only on local spin densities. Although LSDA gives accurate predictions for solid-state physics, it is not a useful model for chemistry due to its severe overbinding of chemical bonds and underestimation of barrier heights. The second generation of density functionals is called the generalized gradient approximation – GGA -, in which functionals depend both on the electronic density and its gradient. GGA functionals have been shown to give more accurate predictions for thermochemistry than LSDA ones, but they still underestimate barrier heights (Trulhar & Zhao, 2008a). In third-generation functionals, a Laplacian term density is added in the functional form; such functionals are called meta-GGAs. LSDAs, GGAs, and meta-GGAs are “local” functionals because the electronic energy density at a single spatial point depends only on the behavior of the electronic density and kinetic energy at and near that point. Local functionals can be mixed with nonlocal Hartree–Fock – HF - exchange as justified by the adiabatic connection theory (Becke, 1993). Functionals containing HF exchange are usually called hybrid functionals, and they are often more accurate than local functionals for main group thermochemistry (Trulhar & Zhao, 2008a, 2008b). This field of research aims at creating new density functionals with broader applicability to chemistry by including, for instance, non-covalent interactions. The crucial step is the calibration of new functionals against benchmark databases or best theoretical estimates (Goerigk & Grimme, 2010). Let us consider a case study developed by Truhlar and Zhao in order to understand the role and the status of thermochemistry in such a current context.
The most popular density functional, ‘B3LYP’, an hybrid GGA, has some serious shortcomings among which is its underestimation of barrier heights by an average of 4.4 kcal/mol for a database of 76 barrier heights. This underestimation is usually ascribed to the self-interaction error (unphysical interaction of an electron with itself) in local DFT (Trulhar & Zhao, 2008a). Truhlar and Zhao change parameters and include new ones while shaping a new mathematical functional form that takes physical phenomena into account. In so doing, they design a new functional by trial and error. They then use databases to appraise the reliability of a new functional within a defined purpose. Two databases gather all the thermodynamic quantities: (1) the data base ‘TC177’ is a composite database consisting of 177 data for main-group thermochemistry including atomization energies, ionization potentials, electron affinities, proton affinities of conjugated polyenes, and hydrocarbon thermochemistry among others data; (2) ‘DBH76’ is database of 76 diverse barrier heights concerning for instance nucleophilic substitution and hydrogen transfer. Truhlar and Zhao then discuss the performance of new functionals for these databases, they conclude that functionals labeled ‘MO6-2X’ and ‘MO5-2X’ are the ‘
Choosing a functional of electron density depends upon: (1) the necessary accuracy; (2) the chemical system; (3) the time of calculation. It also requires choosing a set of functions called a basis to achieve calculations for each atom. The basis change according to the type of atoms and different effects such as diffusion, polarization, pseudo potentials for chore electrons, and the size of functions -double, triple zeta-. The functional and its relative basis set define a level of calculation, the process of which requires choosing a computer program such as Gaussian type or Turbomole to be processed. If calculations are not convergent, researchers can change the functional, the size of the grids and convergence thresholds in order to optimize geometry or to calculate molecular energy. Each step reveals know-how, chemical culture and pragmatic compromises. Notwithstanding their basic differences, the ways thermochemistry is involved within molecular orbital approximation or DFT approach are quite similar. Modeling includes thermochemistry as a tool for calibration but also as a heuristic guide for theoretical parameters adjustments inside functionals or wavefunctions or for the design of new quantum methods (Grimme et al., 2007). The structure, within which calculations are made, is well framed by the Variational Principle. We thus realize that thermodynamic quantities partly shape current quantum practices of optimization of geometry and calibration. Calculations help researchers to find out the energy surface associated with a particular chemical reaction. The knowledge of the minimum points on an energy surface makes it possible for a chemist to interpret thermodynamic data. Besides, thermodynamics can retroactively justify minimization of energy as we have already explained. Thermodynamics and energy surface are thus interconnected to determine transition structure and reaction pathways. Modelling structural configurations is of importance in this context and the quantum calculations of entropy play a leading role in such descriptions and predictions.
Before I conclude, I would like to focus on a last case study to widen and deepen my enquiry. Let us consider how thermodynamic quantities are used to model solvatation effects and to scrutinize a chemical reaction mechanism within the DFT calculation background. I will refer to a study about zinc-thiolate complexes reactivity depending on the zinc ligands (Picot et al., 2008). Some calculations are shaped by thermodynamic quantities especially designed for quantum context, that is to say that do not exist in classic thermodynamics. It is typically the case of the zero-point vibrational energy labeled ‘ZPVE’. The molecular vibration energy is not equal to zero at absolute zero –O K-, it is a quantum mechanical effect which is a consequence of the Uncertainty Principle. Once a stationary point is localized, be it an energy minimum or a transition state, its energy turns out to be less important than the experimental energy of the molecule. For comparison with experimentally obtained thermochemical data, zero‐point vibrational energy is required to convert total electronic energies obtained from
ΔEelec, ΔZPVE, ΔET and ΔS are the differences of electronic energy, zero-point vibrational energy, thermal energy and entropy between the products and the reactants, respectively (Picot et al., 2008).
The solvatation free energy of each compound is determined by calculations depending on a model. This quantity is always defined as the required amount of energy necessary to transfer a molecule of gaseous solute into the solvent. The crucial step is to appraise how the solvent gets involved in a chemical reaction. Its action can be direct if some molecules of solvent take part in the chemical process or indirect if the solvent –then labeled the ‘bulk medium’- only modifies reactants reactivity compared with that of the same molecules in the gas phase. Whatever the context may be, the solvatation free energy is calculated from the equation (Leach, 2001):
ΔGelec quantifies the interaction between the solvent and the solute, it is all the more important as the iconicity or polarity is great. ΔGvdw takes into account Van der Waals interactions between the two. To finish, ΔGcav quantifies the cavity occupied by the solute while counting solvent reorganization around the cavity and the necessary work to fight against solvent pressure when the cavity is created. It is possible to encompass the two last terms within the equation:
a and b are constants, and S is the area of contact between the solute and the solvent. The different models that enable chemists to calculate ΔGsolv mostly differs by the way they appraise ΔGelec. From earlier models developed by Born (1920) and Onsager (1936) to the PCM model –Polarisable Continuum Method-, the form of the cavity and the study of polarization between the solvent and the solute were continuously modified and improved (Barone et al., 2004; Cossi et al., 2002). The surface of the cavity was divided into fine-grained fragments labeled ‘tesserae’, the wavefunction of solute is determined by Self-Consistent Field iteration. Two others models were performed, the COSMO theory –Conductor-Like Screening Model- and C-PCM approach –Conductor-Like PCM-. Modeling the interactions between the solute and the solvent is a challenge for current quantum chemists. In this context, thermodynamic quantities are the heuristic framework that shapes quantum investigations for achieving better models. The calculation of such thermodynamic quantities stir up: (1) new polarization descriptions and understanding; (2) the creation of new algorithms and cavity topological models (Barone et al., 2004); (3) the continuous recasting of levels of description and software to optimize geometry or to calculate energy quantities (Takano & Houk, 2005); (4) the modelling of the electronic density of the solute especially outside the cavity.
It is then easy to express the free energy of chemical reaction in water using the following classic thermodynamic cycle (Picot et al., 2008):
This cycle in turn implied the following formula:
Let us analyze how those thermodynamic quantities guide Picot et al. during their investigation of zinc-thiolate complexes alkylation. This short study will allow us to grasp thermodynamics role and status in workaday chemical quantum practices of research.
They first need biomimetic models that are appropriate for both structural and mechanistic studies. Based on the experimental data, they search for a consistent series of zinc complexes in which the ligands, the electric charge, and the availability of hydrogen bonding to the atom of sulfur can be varied. They choose the Gaussian 03 software and a level of calculation for the geometry optimizations using basis especially designed for each atom or physical contraction, diffusion or polarization. For each possible mechanistic pathway -see figure 2 below-, they scrutinize each stationary point by using frequency analysis. Each transition state –labeled TS1-3 in the mechanisms presented below- was verified by stepping along the reaction coordinate and confirming that the transformation occurred.
They then calculate the gas phase Gibbs free energy, and use C-PCM model to calculate the solvatation free energy within a precise set of levels of calculations. They can finally work out the react free energy in aqueous phase. They assess the adequacy of the chemical modeling and of the level of computation against observed databases of zinc complexes. They thus propose all the necessary thermodynamic quantities to analyze the chemical reaction - table 1 below.
Those thermodynamic quantities guide the authors along their line of enquiry. They compared energy barriers required to reach transition states in order to elucidate all the influencing parameters such as the global charge of the complex, the hydrogen bond, the role of zinc ligands and that of the solvent. In doing so, they confirm that their
Possible mechanistic pathways for the alkylation of a zinc-bound thiolate by methyl iodide. (
Relative ΔGgas and ΔGwater in kcal.mol-1. (
computational outcomes are in agreement with several experimental studies. They for instance show that the net electronic charge of the complex plays a significant role not only on its reactivity, but especially on the mechanism of thiolate alkylation. They finally discuss the nature of the pathways depending on all those energy considerations. Once again, geometry and molecular configurations of the transition state are modeled and assumed to make those predictions become achievable. The entropic contribution is thus of primary importance to query such chemical potential mechanisms.
Thermodynamics is thus a tool for calibrating levels of computation (Curtis et al., 1997; Trulhar & Zhao, 2008b), but it also shapes solvatation modeling and the basic reasoning of mechanistic investigation (Takano & Houk, 2005). In a way, thermodynamics embeds a wide class of quantum activities of seeking and predicting. It provides quantum chemical methods with necessary conditions for reasoning and inventing new methods for calculations (Grimme et al., 2010).
The study of both earlier and recent quantum chemical methods highlights the way that thermodynamics is intertwined with quantum methods within a large network of scientific practices that includes computation, chemistry, spectroscopy, crystallography, physics, and so on. As Rouse claims concerning scientific practices (1996, p. 177): ‘What results is not a systematic unification of the achievements of different scientific disciplines but a complex and partial overlap and interaction among the ways those disciplines develop over time.’ Chemists connect ways of doing science and transform them within ongoing open-ended processes of research. As we have pointed out, thermodynamics was transmuted into thermochemistry through chemical practices, and conversely chemical instrumentation and ways of modeling were transformed by thermochemistry.
The role of thermodynamics is undoubtedly to validate models and methods while stirring up techno scientific creativity. The status of thermodynamics within quantum chemical methods is that of a reference framework that enables chemists to carry out their semi-empirical calculations or to create new
This study also points out that alleged incommensurable scientific worlds such as thermodynamics and quantum mechanics, the assumptions, the formalisms and the natures – descriptive or predictive - of which are completely different, can constitutively interact to form the composite field of quantum chemistry. Epistemological queries thus arise concerning inter-levels description of what we call ‘reality’ and the way scientific fields and knowledge can be mutually stabilized. To this extent, this study also stresses the importance of an epistemology that focuses its attention on scientific practices while including historical insights.
It is interesting to notice that chemical affinities reappear in the latest quantum chemical background. Truhlar and Zhao, among others, refer to affinities –electron affinities, proton affinities of different molecules- in their benchmark databases. Thermodynamics was first introduced in chemistry, we have shown, because it provided chemists with a notion of quantitative affinity. This concept went astray in earlier chemical quantum works and then reappeared from within databases or concepts that help current quantum chemists to shape their functionals according to thermochemistry and to investigate chemical reactivity. Further epistemological investigations are considered necessary to open up the reviving role of the concept of affinity to scrutiny in modern chemistry.
I would like to thank Rom Harré for his second reading of this paper, his advice and his generosity. I also would like to thank Miss Zgela, the Publishing Process Manager in charge for the book, for her help during the different steps of the publishing process.
The first sheep were brought to the Magallanes region from Chiloe in 1845 as a food source for the region’s new human settlements. The Magallanes governor encouraged the development of a larger sheep industry, which began in January 1877 with the arrival of the first Cheviot sheep from the Falkland Islands (Malvinas). Progress in Magallanes throughout the last 145 years has transformed the region into the most important sheep farming area of Chile via the development of both, meat and wool production. In the last 20 years, improvements have been realized through a strategic use of management techniques (strategic feeding, grazing, soil fertility, water supply, crossbreeding and brush control) and new technologies (plow machinery, direct drilling, artificial insemination, embryo transfer, dietary supplement formulation, satellite imagery, silage baling, and electric fence) that have enhanced both, process efficiency and product quality, forward to sustainability management.
To understand the different aspects of sheep farming and its development within the socioeconomic and environmental context of the Magallanes region, this chapter covers topics including location, climatic conditions and main characteristics of the livestock use area, common grazing management systems, locally-adapted fodder crops, artificial insemination, the main breeds (Corriedale, Merino mainly and meat crossbreed), breeding, lamb meat quality under different grazing regimes, wool management, lactation curve and cheese production, animal welfare, sheep-wildlife interactions, and rural tourism.
The Magallanes region corresponds to an extensive territory located in the extreme south of Chile and the South American continent, encompassing the meridional section of Patagonia and the occidental part of the Isla Grande de Tierra del Fuego, and the numerous archipelagos that make up a strip adjacent to both parts, ending in the south with the Cape Horn archipelago. The region extends from 48° 40′ to 56° 30′ south latitude (the greatest latitudinal amplitude in Chile), covering an area of 132,033.5 km2 (Figure 1A) [1]. The region is characterized by a marked physical contrast, generating different geological, orographic and climatic zones, which determine high amplitude in terms of vegetation types [3]. Likewise, there is a pronounced gradient of precipitation from west to east, going from more than 5.000 to less than 200 mm per year respectively [4, 5]. These characteristics make it evident that, in Magallanes, the territory of the eastern section is the most suitable for human life, and that is where the cattle activity has been established since 1870 [1, 6].
Cartographies of the area of livestock use in the Magellan region. A: General location. B: Livestock use according to administrative division. C: Elevation ranges. Source: Own elaboration from ASTER GDEM digital elevation model. D: isohyets (mm·year−1) and isotherms (annual mean ° C) (prepared by author based in Ref. [
The livestock use area is located mainly in the eastern section of the Magallanes region, extending between 50° 36′ and 55° 19′ south latitude and 67° 2 ‘and 73° 47’ west longitude, covering a surface area of 35,962.6 km2 distributed mainly in the provinces of Magallanes, Tierra del Fuego and Ultima Esperanza (15,577.9, 13,502.2 and 6,559.9 km2 respectively). With less representativeness and in the southernmost distribution lies the livestock territory of the Chilean Antarctic province with 322.5 km2(Figure 1B) [7]. The livestock use area can be divided into three provinces from north to south (the area corresponding to the Chilean Antarctic province is not considered in this analysis). The first section located in the Ultima Esperanza province presents spatial and topographic patterns different from the other sections (Magallanes and Tierra del Fuego), corresponding mainly to a transition strip between mountain ranges and the eastern plains, characterized by plateau sectors crossed by mountain chains with heights that rarely exceed 1000 masl (Figure 1B). The Magallanes and Tierra del Fuego sections present similar characteristics, beginning with a western sub-Andean transition strip that gives way to extensive eastern plains, corresponding to mainly flat territories, with low elevations and moderate undulations (Figure 1C) [3].
According to [8], from a climatic point of view, based on Koppen classification, this area can be defined as a trans-Andean climate with steppe degeneration in its western fringe and a cold steppe climate in the eastern plains sector. In the former, we can find annual average temperatures ranging from 2.6 to 6.6° C, while in the cold steppe climate the annual average temperatures can range between 4 and 7.4°C (Figure 1D) [2, 8]. On the other hand, the area of interest is located in the sotavento zone (east) of the Andean Patagonian mountain range, which despite presenting spatial discontinuities in its southern distribution, is the main geographical feature of the region and forms an orographic barrier that generates local climatic changes [5, 9]. This is how rainfall in the livestock use area can drop from approximately 600 mm to less than 200 mm per year in the direction of the Atlantic coast in the sections of Magallanes and Tierra del Fuego, while in Ultima Esperanza the rainfall ranges from 1,000 mm to 300 mm in the same direction W-E (Figure 1D) [2].
The marked variation in rainfall in the area of livestock use is reflected in the present vegetation, which could be categorized into three ecoregions: the Patagonian steppe, the deciduous Magellan forest and evergreen forest, but the latter have a small participation. The dominates the sub-Andean region, is present in the three provinces of the area of livestock use, characterized by associations of
The soils in the grazing fields in the region de Magallanes in Southern Chile are glacial and fluvio-glacial, with sandy-loam and loam-clay-sandy textures and a shallow surface soil horizon with mid to high organic matter content. The soils classification is dominated mainly for mollisols, but also histosols, inceptisols, espodosols and aridisols. Mineralization is very slow, implying severe nitrogen deficiency, also phosphorus and sulfur are limiting factors; pH values range from west to east from less than 4.8 rising to 7.7 where topography favors humidity and the accumulation of salts [11]. The photoperiod in summer is 12–14 hours/day, favorable for most long-day grasses. Dominant vegetation includes 32.7% of native shrubs and tussock grasses (
Sub-Antarctic rangelands were originally dominated by dense high tussocks (
The extensive grazing management in Patagonia (Magallanes region in Chile and Southern Patagonia in Argentina) is defined as a seasonal continuous grazing system, with summer set-stocking on paddocks above 150 m of altitude. Early on, grazing was adapted for wool production, a productive system with lower nutritional demand. The productive system has since shifted towards meat production, increasing the nutritional requirements of sheep due to the pregnant ewe and lamb raising [17]. Considering an estimation of dry matter consumption by an ewe of 50 kg live weight raising one lamb is around 650 kg DM year−1.
The Sub-Antarctic rangelands (also called coironales) have an herbage mass production between 33 and 1439 kg DM ha−1 year−1 (depending on edaphoclimatic condition and grazing management) and are dominated by
Extensive pasture size and large herd numbers (thousands of animals), combined with the climatic conditions and cultural traditions, have led to seasonal continuous grazing being the most common livestock production management approach. This extensive management system is characterized by large paddocks of hundreds of hectares, designed to separate stock categories rather than to target defoliation periods. The defoliation period is determined by season, sheep physiological periods and location of the grazing sites. In sub-Antarctic rangeland, snow cover determines when and where herds graze. The grazing year is split in two periods, with summer grazing from December to May in wetlands or sites with altitudes of 150 m above sea level or greater. Winter grazing occurs from May to December in lower altitude sites with a more favorable temperature range during the coldest months [17, 22]. Winter grazing generally overlaps with lactation and postpartum periods [22, 23].
Even though the disadvantages of continuous grazing in highly productive livestock systems are clear, in low-producing rangelands, the disadvantages are more ambiguous. It has been indicated in medium and long-term experiments [24] continuous grazing with the correct stocking rate, calculated based on herbage mass production, is an effective way to control desertification and achieve good animal performance [24, 25]. However, it is recognized that continuous grazing can increase heterogeneity [25] and weed invasion [26] on overgrazed sites.
Sheep actively select preferred species based on plant phenology (tender shoots and new regrowth, flowers and fruits) thus, in continuous grazing management, sheep overgraze the more palatable material, under grazing or leaving untouched older shoots. Recommended grazing practices imply an even, controlled defoliation height, followed by a specific regrowth period. The latter is supported by physiological plant research performed in several species [27, 28, 29, 30, 31], suggesting that, independent of the grazing system or ecosystem evaluated, vegetative species, particularly forage species, depend on energy reserves to regrow following defoliation [32] and to survive after drought periods [33]. Thus, selectivity must be avoided through careful estimation of grazing pressure. This requires more, smaller paddocks of similar vegetative communities, and strict control of grazing frequency. Animal nutrition must be considered, since enforcing the consumption of low nutritive value material may not be tolerated by younger or pregnant sheep. Modifying the traditional system is a major task implying qualitative and quantitative changes in both labor and mind set.
For rotational grazing to be performed, it is necessary to improve farm organization and increase the number of paddocks, separating different vegetative communities, such as wetlands, rangeland and forests, to avoid the negative effects of seasonal continuous grazing [21]. Several types of rotational grazing have been proposed for rangeland grazing management, however, as sheep reproductive phenology has to be considered [23], two of them could be applied in the Magallanes region: 1) rotational deferred grazing; 2) traditional rotational grazing with a high animal density [17, 24, 25].
Rotational deferred grazing: In this system, each paddock is rested for a full year at some point in a multi-year rotation to allow species recovery and reseeding [24] and to recover ecosystem resilience after years of defoliation [25]. There are no clear results in animal performance when rotational deferred grazing is compared to continuous grazing [24]. Furthermore, [25] indicated that in Moy Aike Chico, there were no important differences between a rotational deferred grazing system and continuous grazing in terms of animal production.
Traditional rotational grazing: There have been a few examples in the region with different frequencies and intensities. However, high intensity grazing is not recommended in rangeland settings due to the diminishment in animal performance and the low durability of the rangeland [24]. Grazing with low intensity and short duration at an experimental level (Experimental station Leleque, Southern Patagonia) showed an improvement in animal performance, however, the low growth rates during winter together with a low precipitation, mains factors that limit the herbage growth in Patagonia, meant the resting periods would not be long enough for forage species to recover [25]. There is not enough evidence of the benefits of rotational grazing over continuous grazing in ecosystems with low potential growth under a proper stocking rate [24, 25, 34]. However, rotational grazing showed benefits over continuous grazing in sites with high potential growth such as in sites with higher rainfall or wetlands.
In 2004 a rotational experiment with lambs was carried out on a wetland in Tierra del Fuego. The wetland was excluded from the rest of the paddock and regenerated by direct drilling (zero tillage) with a mix of species including
Modification of the traditional management is imperative to stop the depletion of the ecosystem functioning caused by sheep overgrazing in the Magallanes region. Ecosystem parameters such as vegetation, soil and water have to be considered to reach a sustainable productive system. Remote sensing technologies are an excellent tool for planning and evaluating changes in paddock grazing duration and timing, where University of Magallanes has developed this technology with use of satellite image in the agricultural area of the region from 2003. Also, the study of soil microbiology is an incipient area in development and could be an excellent assistance for soil fertility and grassland production. Efforts to shift the traditional paradigm from a sole focus on animal condition and performance to one that includes ecosystem functioning exist [35]. However, controlled experiments have to be performed to determine the necessary resting periods for the recovery of the rangeland and wetland vegetation, soil and water parameters.
Livestock production in Magallanes depends on rangelands as the main source of food [36]. However, rangeland vegetation alone cannot meet sheep nutritional requirements, especially during peak nutritional demand (for example, the third trimester of pregnancy) [37]. Although wetland areas can provide food in quantity and quality, these are in a state of progressive degradation or are not capable of sustaining an acceptable production throughout the year due to erratic forage production. Since the beginning of sheep production in the region, farmers have seen the need to establish forage crops as a hay source, during critical physiological periods and harsh weather, or for grazing with the objective of increasing lamb weights before slaughter.
Establishment and development of sheep farming began in the Magallanes region during the second half of the 19th century. Large land concessions by the State and investment from private companies allowed the growth of the sector in the southernmost region of Chile [36]. Establishment of forage crops should be considered within its historical context.
In 1976, the Magallanes region had around 248,504.6 ha of sown grasslands, which could be divided between annual crops and permanent grasslands [38]. Ten years later, there were between 104,878 ha [39] and 194,185 ha [40], which were based on the use of forage mixtures such as cocksfoot (
Current numbers indicate that there are no more than 6,039.2 ha of forage crops, of which the vast majority is alfalfa. However, [42], estimates that there are currently around 9,800 ha of alfalfa in the region. This is because state subsidy programs that begun in 2004 have allowed ranchers to establish fodder crops. Sowing grasslands is a necessity on the part of the agricultural sector and the area devoted to forage crops has been increasing. Although there is a wide range of species and cultivars on the market, only a few are able to establish themselves and produce desired yields due to edaphoclimatic conditions.
Among the most adaptable species are oats (
Rainfall during the growing season strongly influences yields since regional production is based on dryland systems with no irrigation, but there is an incipient advanced irrigation technologies as center pivot in Tierra del Fuego. The current varieties of oats have yields that can range between 5,000 and 10,000 kg DM ha−1 [43, 44]. Other annual crops such as hybrid rye can produce between 8,000–12,000 kg DM ha−1 [45]. Cocksfoot can yield from 3,000 to 7,000 kg DM−1 in the third year from the establishment, while tall fescue can produce 4,000–6,000 kg DM ha−1.
Without a doubt, alfalfa is the main forage crop in the Magallanes region. This species is preferred because of its ability to establish itself in the vast majority of the soils and climatic districts of Magallanes (Figure 2). Fall dormancy level 3–4 varieties capable of going into dormancy in the autumn-winter months are used. At least three years are required for the crop to enter full production, increasing forage production from 400 kg DM ha−1 [46] in the first year to a potential of 12,000 kg DM ha−1 [47].
Fodder crop of Alfalfa in Torres del Paine, Magallanes region (Image by Jorge Ivelic-Sáez).
Management of forage crops in Magallanes is based, normally, on cutting for hay or silage during December and January. In March and April, following regrowth, fields are grazed in order to increase the weight of lambs before slaughter.
Farm productivity depends on each sheep producing at least one lamb each year. The use of natural service during the breeding period is the most common practice in commercial Magallanes farms. However, since the 1970s, artificial insemination (AI) has been part of the production system, especially in stud farms, in order to accelerate the genetic progress and the production of flock replacements (males and females).
AI has been used mainly in genetic and selection programs, in order to improve the commercial traits of interest [48]. For dual purpose breeds such as Corriedale, increasing fleece weight, reducing fiber diameter, and augmenting lamb weight at weaning are normally the traits to be improved via introduction of animals with a higher genetic value [49]. In Merino animals, fleece weight and reduced fiber diameters are the main selection traits. Among the different alternatives, intracervical AI using fresh semen is the most widely used AI technique.
Selection of males is the first step in AI programs. Regardless of the origin (self-produced or acquired from a sheep stud farm), rams will be selected according to their phenotypic and productive characteristics. Genital tract soundness, evaluation for brucellosis (
Different estrus synchronization protocols are used in Magallanes selected based on factors such as labor, cost and efficiency. Although some producers may use the natural estrus, two options of synchronization are commonly utilized. The first one is the use of prostaglandin analogs in one or 2 doses, separated by 11–12 days [52]. The second one uses progestogens in the form of sponge pessaries or CIDR devised, used for 11 to 14 days available in the market with estrus concentration of 90% of the animal in 81 h after sponge withdrawal [53]. A protocol using equine chorionic gonadotrophin (eCG) hormone at the time of CIDR withdrawal is normally used to improve ovulation rate and fertility [54].
Due to cold weather conditions, the use of indoor facilities is highly recommended. The basic infrastructure is a room for semen extraction, with a head stock for a female in heat, and a lower area for the personnel to have a better access to the ram penis. Lubricant gel, warmed water and artificial vagina for practicing, are the basics for obtaining semen. After semen collection, quality evaluation (e.g., volume, concentration, motility, etc.) and dilution takes place. This occurs in the lab area, where room temperature is maintained between 20 and 25°C. Access to the sheep in heat is through a window located at the height of the vulva, with the operator standing in an insemination pit in the floor of the lab and barn, and the ewes will be transported in a trolley with wheels on rails.
Regardless of the synchronization protocol, the use of teaser rams helps in the identification of ewes in heat. Teaser rams are painted with a mix of edible oil and colored soil in a ratio of 2 liters of oil per 1 kg of soil. The use of a harness with a crayon has been previously evaluated, however; special attention must be paid to crayon selection, since temperatures below 0°C, which are normally observed during the winter, interfere with a good painting of ewes in heat. The mix with oil must follow a soil color gradient, starting with light colors and finishing with dark ones (e.g. yellow, red, blue and finally black) as this allows the identification of animals in different reproductive cycles, which normally lasts between 14 to 17 days.
Females are normally taken into the yards once a day, early in the morning. Those ewes showing a clear rump mark are separated, while those not presenting heat returns to the paddock with the teaser rams. Ewes in heat are artificially inseminated in the afternoon. However, in order to increase pregnancy rates, two checks in the day are recommended, early in the morning and in the afternoon, with ewes being artificially inseminated in the afternoon and the following morning, respectively. Every two or three days, the painting of the teaser rams is redone.
Fertility rates between 60 and 70% can be achieved with this method [48]. During AI the ear tag of each of the ewes is recorded, in addition to ram number and day and time of AI. After AI, ewes are maintained in a quiet place, with access to food and water, before being taken to their paddock. The use of dogs during all process is normally restricted in order to reduce stress in the animals, which could affect fertility.
Sometimes, the farmer has the opportunity to import frozen semen from different countries (e.g., New Zealand and Australia due to their good sanitary status, similar to Magallanes). If this is the case, the use of intrauterine laparoscopic AI is the best course of action, with the use of eCG (200–300 IU) as a complementary management, to increase ovulation rate and the number of twins, with higher expected genetic potential. Fertility with frozen semen has been calculated to be over 70% [55].
Good animal nutrition before and after AI reduces stress, and the farmer needs to consider forage quantity and quality, as well as access to water. Ultrasound pregnancy diagnosis is performed 90 days after AI, in order to check for fertility, but more importantly, to identify single- from twin-bearing ewes. Hence, the latter can be supplemented with a high protein (22%) concentrate to reduce lamb mortality at birth [18], which, under Magallanes environmental conditions, can range from 22 to 62%, being higher in twins [56]. All these managements contribute to increased AI success in Magallanes, making the system more productive and sustainable.
Since the second half of the 19th century, the establishment and development of sheep ranching began in the southernmost region of Chile, Magallanes. Large land concessions by the State, and an important commitment from private companies allow an accelerated growth of this industry, being sheep an intrinsic part of the local culture until today.
Natural rangelands in the world, which largely dominate the geography of Magallanes, are those areas used mainly for grazing because they cannot be cultivated. In these large rangelands, the grazing system is “extensive”, not only in the sense that it is carried out over large areas, but also because level of inputs, and management of animals is relatively low, with a stocking rate around 0.8 sheep equivalent ha−1.
The sheep population in Chile is 2,037,516 heads and the 77.1% is located in Magallanes (1,571,056), the southern region of Chile [12]. In this area, sheep production is the most important, and almost the only agricultural industry. It has been developed for the last 145 years (Figure 3).
Number of sheep in Chile and Magallanes region. Dots in red and blue lines counting data between VI to XII region and farms with higher than 60 sheep [
Corriedale is the main breed and represents 55% of the regional stock, just as a purebreed. Some operations have introduced different Merinos, as Australian Merino, MPM (Multi Purpose Merino, developed by an Australian stud, and imported for some breeding seasons into Magallanes), 4 M (Marin Magellan Meat Merino, developed by Marin family in a big sheep operation, from MPM and other Merino lines, and registered officially as the first local purebreed), and most important in recent years the Dohne Merino, and crosses during the last three decades. Because of the increasing value of meat in the total income of sheep business, it is common to see terminal cross use, typically with Suffolk rams but also some Polled Dorset, Texel, and White Suffolk. The regional average weaning percent is below 80%.
Breeding season is in fall, and lambing in spring. The extensive management system with very low inputs, low human intervention, and changing annual climatic conditions leads to erratic results.
Land is owned by medium to large producers. The most common situation are flocks with over 4,000 sheep. The meat and wool market is well developed in Magallanes and strongly oriented to exportation. The region has the potential to increase sheep numbers by at least 30% based on increased production estimates from improving 600,000 ha. of rangeland [58].
Sheep production has traditionally been dual purpose; producing wool and meat, with a carcass average weight for lamb increasing from 10.8 in 1987 to 14.1 in 2020, meanwhile the market is targeting 14 to 16 kg [35].
In this scenario, meat, which at one time in the past was considered a by-product of the wool-focused Magellan sheep industry, today drives the income of sheep ranching in the region. Furthermore, San Isidro Farm (Canepa family) in conjunction with INIA Kampenaike introduced three races of hair sheep (White Dorper, Dorper, Katahdin) in 2012 with a high meat performance.
Sheep operations are based on year-round grazing of private land, with incipient use of strategic supplementation. Most ranches own summer range and winter on separate range (Figure 4). Over half do pre-lambing shearing, and lambing is on pasture at springtime.
Herding sheep from summer to winter range, Tierra del Fuego (Image by Oscar Strauch).
The Magallanes region is not only recognized for its natural parks, such as Torres del Paine, but also for the vast pastoral landscapes and extensive sheep farming developed in this unique environment. The main product is lamb meat, which is exported to different countries, predominately in Asia (China: 45%) and the EEC (Italy: 12%) [59].
Magallanes lamb meat is a grass-fed product that normally comes from young animals (4 to 5 months of age), with an average carcass weight of around 13 kg, raised on natural pastures and maintained, in general, with their mothers until mark time. This gives them a mix of milk and grass nutrition which results in a very interesting product quality. Studies developed by INIA (Agricultural Research Institute), have demonstrated that lamb meat from Magallanes has on average 21% protein content, and a total fat content of 6.4%, which is lower compared to other type of meats. When considering the intramuscular fat (2.5%) and cholesterol (53 mg/100 g), this product may be considered as lean. Tenderness is another remarkable attribute of Magallanes lamb meat, with Warner-Bratzler shear-force results of 1.75 kgf, which positions it as a very tender meat. In addition, it has a similar content for SFA (2900 mg/100 g) to other meats, but a higher PUFA content (628 mg/100 g), compared to some reports in beef. However, the n-6/n-3 ratios (1.3 mg / 100 g) and conjugated linoleic acid (CLA; 25 mg / 100 g) contents represent values that are considered good and desirable from a nutraceutical point of view [60].
The meat of lamb produced in Magallanes is characterized for having a high content of iron (Fe) and zinc (Zn). The average content of Fe for lamb meat in the three different areas of production in Magallanes is 3.9 mg/100 g of meat. This value is significantly higher compared to other meats (Table 1). Similar results are observed for Zn content which, with an average of 4.5 mg/100 g of meat, is superior to the Zn content described for other meats (Table 1).
Meat | Fe | Zn |
---|---|---|
Magallanes lamb | 3.9 | 4.5 |
Foal | 3.3 | 2.4 |
Lamb | 2.3 | 2.4 |
Chicken | 0.8 | 1.3 |
Beef | 1.9 | 4.0 |
Pork | 0.9 | 2.1 |
Iron is well known for its role in human health and disease, where deficiencies may result in anemia, leading to functional impairments, affecting cognitive development, immunity mechanisms, work capacity, learning ability, and are associated with increased rates of morbidity. Deficiencies during pregnancy may result in higher risk of sepsis, maternal mortality, perinatal mortality, and low birth weight [64]. According to the WHO [65], the iron requirements of 97.5% of individuals, in terms of absorbed iron, are higher in menstruating women (2.38 mg/day), 12–16 year-old girls and boys (2.02 and 1.92 mg/day, respectively), and lactating (1.31 mg/day) and pregnant woman (1.14 mg/day). Therefore, Magallanes meat lamb consumption is an excellent source for these groups to cover their daily iron requirements.
An adequate intake of zinc has critical impacts for human homeostasis, immune function, oxidative stress, apoptosis, and aging. A deficiency, even mild, may lead to arteriosclerosis and anemia [66]. The recommended daily dietary zinc requirement is estimated at 15 mg/day [67, 68]. The consumption of Magallanes lamb meat could certainly help cover this recommendation. In conclusion, the high content of iron and zinc, the low n-6/n-3 ratio and high CLA content, low cholesterol, and tenderness, make Magallanes lamb meat a healthy food with desirable organoleptic characteristics.
Magallanes was an adequate location for extensive sheep production when wool was a commodity of worldwide importance. Historically, wool was bought in bulk directly on the farm through private deals, but since the 1980s the system has evolved to prices defined by proper conditioning and bale sampling for wool fineness (Table 2 and Figure 5).
Season | Greasy Wt. | Yield | Clean Wt. | Clean price | Greasy Price |
---|---|---|---|---|---|
M.T. | % | M.T. | US$ | US$ | |
1998/9 | 5362 | 62 | 3324 | 1.43 | 0.89 |
1999/0 | 6723 | 64 | 4303 | 1.47 | 0.94 |
2000/1 | 6530 | 65 | 4245 | 1.58 | 1.03 |
2001/2 | 5551 | 64 | 3553 | 1.80 | 1.15 |
2002/3 | 5852 | 66 | 3862 | 2.88 | 1.90 |
2003/4 | 5432 | 66 | 3585 | 3.10 | 2.05 |
2004/5 | 5714 | 65 | 3714 | 2.66 | 1.73 |
2005/6 | 5808 | 63 | 3659 | 2.25 | 1.42 |
2006/7 | 5943 | 64 | 3804 | 2.37 | 1.52 |
2007/8 | 6208 | 65 | 4035 | 2.84 | 1.85 |
2008/9 | 4920 | 65 | 3198 | 2.29 | 1.49 |
2009/10 | 5558 | 65 | 3613 | 3.34 | 2.17 |
2010/11 | 4789 | 65 | 3113 | 4.55 | 2.96 |
2011/12 | 4324 | 65 | 2811 | 6.08 | 3.95 |
2012/13 | 4534 | 65 | 2947 | 5.37 | 3.49 |
2013/14 | 4682 | 65 | 3060 | 5.54 | 3.62 |
2014/15 | 4557 | 65 | 2951 | 5.63 | 3.65 |
2015/16 | 4923 | 64 | 3130 | 5.43 | 3.45 |
2016/17 | 4421 | 63 | 2793 | 4.80 | 3.03 |
2017/18 | 4866 | 64 | 3102 | 6.15 | 3.92 |
2018/19 | 4570 | 65 | 2971 | 8.00 | 5.20 |
2019/20** | 2524 | 65 | 1641 | 5.67 | 3.69 |
2020/21** | 2749 | 65 | 1787 | 3.50 | 2.28 |
Price, yield, and wool stock purchased by Standard Wool Cia. from 1998 to 2021 [63].
In these seasons, many farmers did not sell their wool production for low prices, because of the pandemic situation.
M.T. = metric tons.
Net and clean wool purchased according to fleeces fibre diameter (season 2018/2019) [
Almost the entire wool crop is exported to a world market dominated by China. The wool exportation of Magallanes 50 years ago was 13,000 tons [70], but decreased to 5000 tons in the 2017 season [57]. Table 2 shows the price evolution to higher values while wool stocks have simultaneously trended down in recent years with a mean yield of 65% for Standard Wool Company [63] and Agropat1.
Industry trends towards lamb production and fine wools has changed traditional management from extensive grazing with the dominant Corriedale breed, focused on medium fineness wool production (24.5–31.5 μm and 4.0 kg fleece weight per ewe), to more intensive grazing systems based on dual purpose breeds, focused on lamb production and finer wools. Evaluation and breeding programs to meet shifting market demands have been proposed for different resources availability. In Magallanes there are some Corriedale studs grouped in the Corriedale Breeders Association: El Kark (Kroger family); America (Cardenas family); Jerónima (Vilicic family); Avelina (Menendez family); El Trébol (Maclean family); Tehuel Aike (Almonacid family); Chañarcillo (Gutierrez family); Las Vegas (Retamal family); Maria Isabel (Cavada family)2.
In Magallanes two new Merino crosses breeds have been registered in the past ten years: 4 M Merino (Marin Magellan Meat Merino – Tres Chorrillos farm by Marin family) and PRM (Patagonian Robertson Merino – Tres Hermanos farm by Robertson family), both aiming for finer wool (17–22 μm) and heavier lambs, while maintaining the hardiness of Corriedale. For another side, Dohne Merino has been introduced successfully in the region by Hugo Vera in 2004 (Josefina farm), and has resulted in higher profitability on some farms in comparison to traditional breeds [71]. Figure 5 show fleeces fibre diameter for one season, highlighting the range 26.1 to 28 microns as the main diameter in the region.
Shearing practices have also changed to include two options: (a) traditional timing of post-lambing shearing from the end of December to February; (b) pre-lambing shearing in late August and September. The pre-lambing shearing with positive results in lamb marking, lessened ewe mortality [69] and cleaner fleeces [35], this management arrived late in 80′ by the farmers Carlos García and Ivo Robertson. The tally-hi shearing method used in Magallanes was upgraded by New Zealand technicians. The shearing process starts with animals separated in a corral (Figure 6A) into different categories, and then they are moved into the shed (Figure 6B and C). Subsequently the sheep are sheared (Figure 6D and E), fleeces are cleaned on a table (Figure 6F) and placed into the wool press (Figure 6G) to build the bale (Figure 6H), and finally the wool bales are placed all together where each one has a note with a description of wool type and farm name (Figure 6I) and the ewe is released to outside (Figure 6J).
The traditional shearing process in Magallanes, different process stages from A to J. (Image by Sergio Radic S.).
There is one dairy sheep operation that was set up as a pilot program in the 1990s by the University of Magallanes (coordinated by Sergio Kusanovic) in the city of Puerto Natales (Chilean Patagonia). The program uses East Friesian sheep (from Bolson city in Argentina) and was developed with the goal of cheese production at a local scale. The lactation curve (Figure 7) and cheese production is based on grassland grazing and strategic supplementation with 200 g d−1 of commercial concentrate (15% CP; 2.6 Mcal EM kg DM−1) from flushing two weeks prior to breeding through the breeding period. The sheep are fed under a grazing system in the first 100 days of pregnancy. For the last 50 days of pregnancy, 400 g DM d−1 of alfalfa hay is supplemented [73]. Because the nutritional management is mainly by grasslands, it is a way to develop organic farming, a production method with a specific market focus on products of premium quality and high standards [72].
Milk yield (dotted green line) in lactation period and body live weight (solid blue line) during the year of East Friesian sheep [
The feed ration and body reserve are very important inputs for adequate milk yields in dairy sheep at the end of pregnancy and during lactation. For the latter, in systems that base their feeding management on grasslands, body weight at pregnancy, lambing and lactation may be considered indicators of animal nutritional status and body reserve level.
This initiative developed by the University of Magallanes produces the southernmost cheese of Chile. The higher concentrations of fat, total solids and protein (6.2%), present in sheep milk compared to goat (3.4%) and dairy cattle (3.2%), result in high yields in the production of dairy products [74]. There is a possibility to generate a brand image with this kind of cheese in the Chilean Patagonia. The commercialization of sheep cheese in Magallanes traditionally corresponds to consumers of foreign origin, but also markets to gourmet stores, hotels or restaurants, where there is the highest consumption [75].
In a highly globalized world characterized by increasing demands by the large international markets, the Magallanes region has some intrinsic advantages, including its geographical location, associated with characteristics of extensive production that allow for reducing the risks associated with animal welfare. Although this system minimizes human-animal interactions (limited number of operations and/or contacts)3, livestock should be managed and overseen by capable personnel to ensure the correct execution of management and create a positive human-animal interaction.
Although the concept of welfare refers to a state of physical and mental health where the animal is in complete harmony with the environment that surrounds it [76], today we focus on “one health”, a concept that entails good management and animal care that leads to good human health and positive collateral outcomes, both economic and social [77].
Animal welfare today is structured on five fundamental domains: adequate nutrition and water availability, health and disease prevention, good environment and provision of opportunities, behaviors and freedom to express them, and finally, mental state, which is determined by the experience of the four former domains, logically resulting in both negative and positive parameters. The complex part for extensive production systems is to find the right moment(s) to apply practical, quick, valid, reliable, and repeatable measuring techniques (direct and indirect indicators, based on the resources or the animal, to evaluate its state and condition) to generate an accurate picture of sheep production today in the Magallanes region.
In order to ensure a livestock sector that is both sustainable and adheres to both national (Law Chile 20380, decree-law numbers 28–29-30) and international requirements, rules, and regulations, the sheep industry, farms and livestock personnel are slowly but satisfactorily developing changes in some practices, especially those related to animal handling and painful procedures (tail docking, castration), where the Good Livestock Practices manual is one of the first to be generated on this subject in the region. It is essential today to have plans that allow for storage of adequate food and water supplies, constant health monitoring, and adequate facilities to minimize and facilitate animal handling in delicate procedures such as transport, herding, and shearing, among others, as well as allowing the manifestation of both natural and normal behaviors during production processes.
Finally, it is highly recommended that the personnel working in production units know and understand the concepts related to sheep management and production, which will result in adequate competence, minimizing risks, injuries and potential processes that generate negative effects in the production chain.
The relationship between wildlife and animal production involves ecological interactions such as competition for foraging resources and space, and predation [78]. Wildlife-livestock interactions are mostly assumed to be detrimental to human economic activities, leading to wrong attitudes and prosecution of wild species in areas of coexistence with livestock [78]. The situation of sheep ranching in Magallanes is not different; sheep either compete with wild herbivores or are killed due to carnivore predation. Therefore, producer views towards wild species are generally negative [79, 80]. However, despite the economic importance of sheep production in Magallanes, studies about sheep interactions with wildlife are rather scarce, with more information from Argentinean Patagonia [81, 82].
When sheep ranching arrived in southern South America in the late 19th century [83], guanaco (
Available information is mostly limited to dietary composition of both species, indicating a large overlap in food items [81, 90]. It is assumed that this large herbivore consumes great amounts of vegetation, the equivalent of two to three sheep. Camelids, however, have low metabolism rates, implying lower food consumption, so the opposite situation should be considered [91]. Although ranchers in Magallanes do not place an economic value on guanaco, they are perceived as an obstacle to domestic sheep production [79]. There are efforts from Chilean government agencies under the Ministry of Agriculture to support the sustainable use of guanaco [92]. After several years of guanaco counts, annual hunting quotas under 3% of estimated guanaco population have been established to give guanaco economic value [92]. Currently, the guanaco population inhabiting productive lands in Magallanes is estimated at 297,844 individuals [93].
Other wildlife that might use similar food resources and space with sheep are herbivorous birds like the lesser rhea (
Similarly, since the advent of sheep ranching in southern Patagonia, large predators, like puma (
According to official government records, carnivores impact animal production in Magallanes [98]. Between 2012 and 2017, 2259 livestock animals were killed by carnivores, 83% of which were sheep (1887 head) [98]. The majority of those attacks were reported on the Island of Tierra del Fuego (59%). If reported attacks are organized by predator species causing mortality, 78% of attacks corresponded to domestic dogs (55 events) accounting for 1855 predated livestock (82%) [98]. Foxes (
Farmers hunt native carnivores despite this activity is illegal in Chile [80]. This situation could be associated to the lack of governmental programs to verify livestock mortality causes and issue compensation of economic loss [80]. Recently, sheep ranches near Torres del Paine National Park, one of the main protected areas in Magallanes, have changed their perception of puma because the presence of this large carnivore is a source of an important touristic activity in the area producing important economic revenues [80]. Other animals that are perceived as harmful for sheep farmers include raptors like southern caracara (
It is necessary to differentiate sheep losses because of wildlife from those caused by deficient ranch management. Several sheep ranches seem to have incorrect estimates of appropriate stocking rate density that can cause overgrazing and degradation of the steppe that finally drive to poor animal conditions and economic losses, which is not directly related to the presence of wild herbivores. The importance of large carnivores in overall ecosystem health must be considered before lethal control. Predation prevention methods like night shelters or guard dogs, should also be used where appropriate [100].
The farms in the Magallanes region have been characterized by developing and preserving an extensive infrastructure, consisting of numerous interrelated buildings to meet the demands and services of a sheep farm, which has historically been extensively developed [101]. Usually the farms are huge estates, hundreds or thousands of hectares in size, and in many of them there are still tools, machinery and furniture typical of the colonizing era from the mid-19th century to the early 20th century [102]. These locations are nestled within natural landscapes that include lakes, rivers and wide landscapes such as the Patagonian steppe, where the horizon and the sky display dramatic sunrises and sunsets. Furthermore, prior to the establishment of these ranches, these sites were inhabited by ancestral peoples who knew the territory and its resources very well [103]. All these conditions provide an ideal setting for agritourism [104] as a way to combine culture, nature, leisure and recreation in a landscape experience.
Tourism on farms in the Magallanes region is emerging and poses opportunities and challenges to innovate in regional economic development. Currently, the offer for tourism on estancias is traditional and restricted to activities typical of nature tourism such as wildlife observation, walks, horseback riding, photography and fishing, among others. To a lesser degree, activities typical of agriculture (Figure 8) are available, such as organic agriculture and observation of traditional tasks such as sheep herding or shearing, among others. Often, but not always, this offer is associated with spending the night in the manor houses itself and tasting local cuisine, so that the experience is complemented by the charm of the architectural heritage and historical legacy [101]. However, this type of tourism faces endemic problems such as seasonality, lack of specialized human resources and poor connectivity. Usually the distances are exaggerated, the accesses are tortuous, and even in many of them digital connectivity problems persist, which makes it difficult to implement online marketing and reservation systems, resulting in a loss of service. In addition, many times the tourist product offered is limited to passive observation experiences, but the tourist storytelling to enrich the visitor’s experience and feed their learning and interest, is absent. Thus, this type of tourism wanders between “farm tourism”, where the central activities are related to the ranch trade [105], or “tourism on farm”, a farm where tourist activities other than the traditional.
a) Herding of sheep in Magallanes, one of the favorite activities to observe by tourists in estancias in the region (image by Claudio Vidal). b) Sheep bath, as another interesting farm task for tourism (image by Sergio Radic K.).
Today, the particularities of the tourist atlas of the Magallanes territory can be considered counterproductive for the development of farm tourism in isolated areas. The profitability of agritourism as such is low and occurs as a complementary element to other economic activities, but it is not the main one [106]. Tourist concentration is persistently monopolized and overshadowed by Torres del Paine National Park, considered by many to be the gem of Patagonia and the main pole of attraction for regional tourism [107]. Thus, perhaps a relevant option would be the diversification of tourism content on the basis of local identity; generate a local identity to offer a different product, where tourists enjoy and learn about distinctive aspects such as architecture, history, ethnography and rural life. This identity could be re-created from and for the territory, starting from the cultural histories and the memory of the ancestral peoples. There are numerous ethnographic, historical, architectural and family resources [103, 108, 109] to implement a touristic storytelling and generate an “experience scape”, as has happened in other areas of farm tourism [110]. However, tourism research is required to consolidate facts, protagonists, sites and narratives for a continuous valorization of the cultural and natural heritage with potential for the development of tourism, whether it is for farm tourism or tourism on farms.
After 145 years of sheep production, the Magallanes region has become a characteristic and important territory for sheep industry, and must continue to improve the quality level of products demanded by consumers. Three key points lead the future of the industry in the region: sustainable management, markets, and human resources; but the ability to integrate all these points in the same direction will support farm success. Through technology adoption and sustainable management practices, the industry can achieve soil, water, and grassland conservation and utilize best livestock practices that improve animal welfare and sheep-wildlife interactions. Improving and/or intensifying utilization of a small percentage of each farm (approximately between 2 and 5% depending mainly to stocking rate used and the dry matter production of grasslands) will achieve sustainable and profitable long-term production. Considering the economic side of production in the region, the market currently demands lamb carcasses around 14 to 16 kg and finer wool, between 17 to 22 μm. Then, each decision making must consider existing management and farm production system (meat, wool, or dual purpose) and quality product that can be produced. Broadening market potential through diversification is an important consideration, but must be evaluated within the context of each farm, in this way tourism, dairy products or knowledge of ecosystem services could play a significant role. Finally, human resources need to be specialized to face these challenges, for which technical abilities, undergraduate and postgraduate studies are a key component. The Agricultural and Aquiculture Sciences Department of Magallanes University and the Agricultural Research Institute (Kampenaike Experimental Station) will have an important role in disseminating technical knowledge and providing professional development in our region.
This work is derived of the compromise acquired in the memorandum of understanding signed by Agricultural Research Institute (Kampenaike Experimental Station) and University of Magallanes. The authors acknowledge all technicians, students and scientists were involved in each research developed in the region in the last years. The farmers what contribute to the progress and sustainability of sheep production in Magallanes.
The authors declare no interest conflict.
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Graphene, one-atom thick, exhibits a unique chemical structure and outstanding electronic, optical, thermal, and mechanical properties that made it compelling for various engineering applications. Graphene and graphene-based materials are promising candidates for fabricating state-of-the-art nano-scale sensors and biosensors. They featured with good conductivity and large specific surface area thereby; graphene-based sensors/biosensors performed well with good accuracy, rapidness, high sensitivity and selectivity, low detection limits, and long-term stability. They are ideally used as gas sensors, electrochemical sensors for heavy metal ions, immunosensors and dihydronicotinamide dinucleotide NADH, DNA, catecholamine neurotransmitters, paracetamol, glucose, H2O2, hemoglobin, and myoglobin biosensors. This chapter reviews the applications of graphene in nanotechnology since it came to the field particularly in sensing and biosensing applications. It updates the reader with the scientific progress of the current use of graphene as sensors and biosensors. There is still much room for the scientific research and application development of graphene-based theory, materials, and devices. Despite the vast amount of research already conducted on graphene for various applications, the field is still growing and many questions remain to be answered.",book:{id:"4624",slug:"biosensors-micro-and-nanoscale-applications",title:"Biosensors",fullTitle:"Biosensors - Micro and Nanoscale Applications"},signatures:"Nada F. Atta, Ahmed Galal and Ekram H. El-Ads",authors:[{id:"30072",title:"Prof.",name:"Nada",middleName:null,surname:"F. Atta",slug:"nada-f.-atta",fullName:"Nada F. 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Here, we present the general concept and the classification of biosensors, their advantages and drawbacks, the main strategies in electrochemical biosensor technology and the materials used in electrochemical sensors, such as electrodes and supporting substrates, materials for improved sensitivity and selectivity, materials for bioreceptor immobilization, and biological recognition elements. Various nanomaterials, such as carbon-based materials (carbon nanotubes, graphene, carbon nanoparticles), inorganic and organic nanoparticles (magnetic and metal nanoparticles, nanosized clays), conductive and insulating polymers (nanosized and nanostructured polymers, molecularly imprinted polymers), and hybrid materials, etc., have been successfully applied for the enhancement of the electroanalytical performance of biosensors and for the immobilization of biorecognition elements. Among these, due to their unique physiochemical features, carbon-based materials, such as carbon nanotubes and graphenes, have received special attention in recent years, and examples of surface functionalization using various types of nanoparticles are presented. The future trends in sensor research activities and areas of development that are expected to have an impact in biosensor performance, like immobilization techniques, nanotechnology, miniaturization and multisensor array determinations, are also examined.",book:{id:"4624",slug:"biosensors-micro-and-nanoscale-applications",title:"Biosensors",fullTitle:"Biosensors - Micro and Nanoscale Applications"},signatures:"Robert Săndulescu, Mihaela Tertiş, Cecilia Cristea and Ede Bodoki",authors:[{id:"28983",title:"Prof.",name:"Robert",middleName:"Valentin",surname:"Sandulescu",slug:"robert-sandulescu",fullName:"Robert Sandulescu"}]}],mostDownloadedChaptersLast30Days:[{id:"72990",title:"Nanoprecipitation: Applications for Entrapping Active Molecules of Interest in Pharmaceutics",slug:"nanoprecipitation-applications-for-entrapping-active-molecules-of-interest-in-pharmaceutics",totalDownloads:835,totalCrossrefCites:2,totalDimensionsCites:3,abstract:"Nanoprecipitation technique, also named solvent injection, spontaneous emulsification, solvent displacement, solvent diffusion, interfacial deposition, mixing-induced nanoprecipitation, or flash nanoprecipitation, is recognized as a useful and versatile strategy for trapping active molecules on the submicron and nanoscale levels. Thus, these particles could be intended among others, for developing innovative pharmaceutical products bearing advantages as controlled drug release, target therapeutic performance, or improved stability and organoleptic properties. On this basis, this chapter offers readers a comprehensive revision of the state of the art in research on carriers to be used for pharmaceutical applications and developed by the nanoprecipitation method. In this sense, the starting materials, the particle characteristics, and the in vitro and in vivo performances of the most representative of these carriers, i.e., polymer, lipid, and hybrid particles have been analyzed in a comparative way searching for a general view of the obtained behaviors.",book:{id:"10116",slug:"nano-and-microencapsulation-techniques-and-applications",title:"Nano- and Microencapsulation",fullTitle:"Nano- and Microencapsulation - Techniques and Applications"},signatures:"Oscar Iván Martínez-Muñoz, Luis Fernando Ospina-Giraldo and Claudia Elizabeth Mora-Huertas",authors:[{id:"320030",title:"Prof.",name:"Claudia Elizabeth",middleName:null,surname:"Mora Huertas",slug:"claudia-elizabeth-mora-huertas",fullName:"Claudia Elizabeth Mora Huertas"},{id:"326041",title:"Prof.",name:"Luis Fernando",middleName:null,surname:"Ospina Giraldo",slug:"luis-fernando-ospina-giraldo",fullName:"Luis Fernando Ospina Giraldo"},{id:"326042",title:"Mr.",name:"Oscar Iván",middleName:null,surname:"Martínez Muñoz",slug:"oscar-ivan-martinez-munoz",fullName:"Oscar Iván Martínez Muñoz"}]},{id:"71786",title:"Microemulsion Formulation of Botanical Oils as an Efficient Tool to Provide Sustainable Agricultural Pest Management",slug:"microemulsion-formulation-of-botanical-oils-as-an-efficient-tool-to-provide-sustainable-agricultural",totalDownloads:853,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Microemulsion formulation is among the most suitable carrier for the delivery of bioactive and, therefore, has excellent potential for industrial applications. The microemulsion system is thermodynamically and kinetically stable. Due to the smaller droplet size of the microemulsion system, the bioactive covers a larger surface of the target pest. Botanicals and essential oils, in particular, are green options to control various soil and seed-borne pathogens. Each oil contains several bioactive constituents that practically avoid microbe-resistance against it. Nevertheless, to improve the handling and shelf-life of botanicals, microemulsion formulation is the best option available. The current chapter provides the insight of a microemulsion system and explores the possibility of botanical oil-based biopesticides for a sustainable agro-ecosystem. We believe that botanical oil microemulsion could be a better alternative to synthetic pesticides and opens a new corridor for the promotion of the greener way of plant protection in India and across the globe.",book:{id:"10116",slug:"nano-and-microencapsulation-techniques-and-applications",title:"Nano- and Microencapsulation",fullTitle:"Nano- and Microencapsulation - Techniques and Applications"},signatures:"Abhishek Sharma, Saurabh Dubey and Nusrat Iqbal",authors:[{id:"314853",title:"Dr.",name:"Abhishek",middleName:null,surname:"Sharma",slug:"abhishek-sharma",fullName:"Abhishek Sharma"},{id:"315502",title:"Dr.",name:"Saurabh",middleName:null,surname:"Dubey",slug:"saurabh-dubey",fullName:"Saurabh Dubey"},{id:"317856",title:"Ms.",name:"Nusrat",middleName:null,surname:"Iqbal",slug:"nusrat-iqbal",fullName:"Nusrat Iqbal"}]},{id:"48359",title:"Immunosensors",slug:"immunosensors",totalDownloads:3056,totalCrossrefCites:7,totalDimensionsCites:20,abstract:"Immunosensors are solid-state devices in which the immunochemical reaction is coupled to a transducer. They form one of the most important classes of affinity biosensors based on the specific recognition of antigens by antibodies to form a stable complex, in a similar way to immunoassay. Depending on the type of transducer there are four types of immunosensor: electrochemical, optical, microgravimetric and thermometric. The most commonly used bioelements for the development of electrochemical immunosensors are antibodies (Ab), followed by aptamers (Apt) and, in the last five years, microRNA (miRNA). In order to perform an early diagnosis, a method that is able to measure peptides and proteins directly in a sample, without any sample pre-treatment or any separation, is preferred. This direct detection can be performed with methods making use of the specific interaction of proteins with Ab, Apt and miRNA. The recent developments made in the immunosensor field, regarding the incorporation of nanomaterials for increased sensitivity, multiplexing or microfluidic-based devices, may have potential for promising use in industry and clinical analysis. Some examples of assays for several commercially available biomarkers will be presented. The main application fields, beside biomedical analysis, are drug abuse control, food analysis and environmental analysis.",book:{id:"4624",slug:"biosensors-micro-and-nanoscale-applications",title:"Biosensors",fullTitle:"Biosensors - Micro and Nanoscale Applications"},signatures:"Cecilia Cristea, Anca Florea, Mihaela Tertiș and Robert Săndulescu",authors:[{id:"28983",title:"Prof.",name:"Robert",middleName:"Valentin",surname:"Sandulescu",slug:"robert-sandulescu",fullName:"Robert Sandulescu"}]},{id:"48575",title:"Impedimetric Sensors for Bacteria Detection",slug:"impedimetric-sensors-for-bacteria-detection",totalDownloads:3645,totalCrossrefCites:6,totalDimensionsCites:20,abstract:"The application of electrochemical biosensors based on impedance detection has grown during the past years due to their high sensitivity and rapid response, making this technique extremely useful to detect biological interactions with biosensor platforms. This chapter is focused on the use of electrochemical impedance spectroscopy (EIS) for bacterial detection in two ways. On one hand, bacteria presence may be determined by the detection of metabolites produced by bacterial growth involving the media conductivity changes. On the other hand, faster and more selective bacterial detection may be achieved by the immobilization of bacteria on a sensor surface using biorecognition elements (antibodies, antimicrobial peptides, aptamers, etc.) and registering changes produced in the charge transfer resistance (faradic process) or interfacial impedance (nonfaradic process). Here we discuss different types of impedimetric biosensors for microbiological applications, making stress on their most important parameters, such as detection limits, detection times, selectivity, and sensitivity. The aim of the paper was to give a critical review of recent publications in the field and mark the future trends.",book:{id:"4624",slug:"biosensors-micro-and-nanoscale-applications",title:"Biosensors",fullTitle:"Biosensors - Micro and Nanoscale Applications"},signatures:"Sergi Brosel-Oliu, Naroa Uria, Natalia Abramova and Andrey Bratov",authors:[{id:"174122",title:"Dr.",name:"Andrey",middleName:null,surname:"Bratov",slug:"andrey-bratov",fullName:"Andrey Bratov"},{id:"175939",title:"MSc.",name:"Sergi",middleName:null,surname:"Brosel-Oliu",slug:"sergi-brosel-oliu",fullName:"Sergi Brosel-Oliu"},{id:"175940",title:"Dr.",name:"Naroa",middleName:null,surname:"Uria",slug:"naroa-uria",fullName:"Naroa Uria"},{id:"175941",title:"Dr.",name:"Natalia",middleName:null,surname:"Abramova",slug:"natalia-abramova",fullName:"Natalia Abramova"}]},{id:"58296",title:"Recent Advances in Bioimaging for Cancer Research",slug:"recent-advances-in-bioimaging-for-cancer-research",totalDownloads:1420,totalCrossrefCites:3,totalDimensionsCites:4,abstract:"Molecular imaging techniques as well as nanoparticle applicable to molecular imaging are being explored to improve the cancer detection accuracy, which help to manage efficiently at the early stage. Among the various imaging technologies, optical imaging is a highly sensitive detection technique that allows direct observation of specific molecular events, biological pathways, and disease processes in real time through imaging probes that emit light in a range of wavelengths. Recently, nanoparticles have provided significant progresses that can be simultaneously used for cancer diagnosis and therapy (cancer theranostics). Theranostics aims to provide “image-guided cancer therapy,” by integrating therapeutic and imaging agents in a single platform. In addition, molecular imaging techniques facilitate “image-guided surgery” enabling maximization of tumor excision and minimization of side effects. The optical signals generated by fluorescence nanoparticles offer the possibility to distinguish tumor sites and normal tissues during surgery by real-time guidance, thereby increasing the long-term patient survival. These techniques will considerably contribute to reducing cancer recurrence and developing more effective cures. In this chapter, we will introduce diverse research on nanomaterials-based optical imaging for effective cancer therapy.",book:{id:"6398",slug:"state-of-the-art-in-nano-bioimaging",title:"State of the Art in Nano-bioimaging",fullTitle:"State of the Art in Nano-bioimaging"},signatures:"Jae-Woo Lim, Seong Uk Son and Eun-Kyung Lim",authors:[{id:"217456",title:"Dr.",name:"Eun-Kyung",middleName:null,surname:"Lim",slug:"eun-kyung-lim",fullName:"Eun-Kyung Lim"},{id:"226257",title:"Mr.",name:"Jae-Woo",middleName:null,surname:"Lim",slug:"jae-woo-lim",fullName:"Jae-Woo Lim"},{id:"226259",title:"Mr.",name:"Seong Uk",middleName:null,surname:"Son",slug:"seong-uk-son",fullName:"Seong Uk Son"}]}],onlineFirstChaptersFilter:{topicId:"205",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:8,numberOfPublishedChapters:86,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:96,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:283,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:138,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:128,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:105,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:9,numberOfPublishedChapters:100,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:11,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"May 14th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:8,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:null,institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:26,paginationItems:[{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",doi:"10.5772/intechopen.104785",signatures:"Yalin Bastanlar and Semih Orhan",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:0,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"79345",title:"Application of Jump Diffusion Models in Insurance Claim Estimation",doi:"10.5772/intechopen.99853",signatures:"Leonard Mushunje, Chiedza Elvina Mashiri, Edina Chandiwana and Maxwell Mashasha",slug:"application-of-jump-diffusion-models-in-insurance-claim-estimation-1",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Data Clustering",coverURL:"https://cdn.intechopen.com/books/images_new/10820.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"81557",title:"Object Tracking Using Adapted Optical Flow",doi:"10.5772/intechopen.102863",signatures:"Ronaldo Ferreira, Joaquim José de Castro Ferreira and António José Ribeiro Neves",slug:"object-tracking-using-adapted-optical-flow",totalDownloads:10,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Information Extraction and Object Tracking in Digital Video",coverURL:"https://cdn.intechopen.com/books/images_new/10652.jpg",subseries:{id:"24",title:"Computer Vision"}}},{id:"81558",title:"Thresholding Image Techniques for Plant Segmentation",doi:"10.5772/intechopen.104587",signatures:"Miguel Ángel Castillo-Martínez, Francisco Javier Gallegos-Funes, Blanca E. Carvajal-Gámez, Guillermo Urriolagoitia-Sosa and Alberto J. Rosales-Silva",slug:"thresholding-image-techniques-for-plant-segmentation",totalDownloads:13,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Information Extraction and Object Tracking in Digital Video",coverURL:"https://cdn.intechopen.com/books/images_new/10652.jpg",subseries:{id:"24",title:"Computer Vision"}}}]},overviewPagePublishedBooks:{paginationCount:8,paginationItems:[{type:"book",id:"7723",title:"Artificial Intelligence",subtitle:"Applications in Medicine and Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7723.jpg",slug:"artificial-intelligence-applications-in-medicine-and-biology",publishedDate:"July 31st 2019",editedByType:"Edited by",bookSignature:"Marco Antonio Aceves-Fernandez",hash:"a3852659e727f95c98c740ed98146011",volumeInSeries:1,fullTitle:"Artificial Intelligence - Applications in Medicine and Biology",editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:null,institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}}]},{type:"book",id:"7726",title:"Swarm Intelligence",subtitle:"Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/7726.jpg",slug:"swarm-intelligence-recent-advances-new-perspectives-and-applications",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Javier Del Ser, Esther Villar and Eneko Osaba",hash:"e7ea7e74ce7a7a8e5359629e07c68d31",volumeInSeries:2,fullTitle:"Swarm Intelligence - Recent Advances, New Perspectives and Applications",editors:[{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. 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