Quantity of inputs used in wheat production in Pakistan and their energy equivalents.
\\n\\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\\n\\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\\n\\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\\n\\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\nFeel free to share this news on social media and help us mark this memorable moment!
\\n\\n\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/237"}},components:[{type:"htmlEditorComponent",content:'
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\nIntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\n\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\nFeel free to share this news on social media and help us mark this memorable moment!
\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"6523",leadTitle:"Approach Based on Phenotype and Endotype",fullTitle:"Asthma Diagnosis and Management - Approach Based on Phenotype and Endotype",title:"Asthma Diagnosis and Management",subtitle:null,reviewType:"peer-reviewed",abstract:'Asthma is a severe and growing threat affecting both children and adults in both developing and developed world, currently affecting approximately 8% of US population. It is becoming increasingly recognized as a syndrome constituted by airway obstruction, airway hyperresponsiveness, and airway inflammation with different causes, associated risk factors, and underlying pathophysiology. The advances in basic and clinical research of asthma have accelerated over the past 20 years with increasing diagnostic tools, especially biomarkers, that led to specific characterization of individual patient\'s asthma pathophysiology, or disease "phenotype" and "endotype," which allowed precision medicine therapies, including new asthma biologics. This book aims to update the paradigm shifts in precision medicine of asthma diagnosis and management, driven by underlying phenotypes or endotypes.',isbn:"978-1-78923-323-0",printIsbn:"978-1-78923-322-3",pdfIsbn:"978-1-83881-524-0",doi:"10.5772/intechopen.71160",price:119,priceEur:129,priceUsd:155,slug:"asthma-diagnosis-and-management-approach-based-on-phenotype-and-endotype",numberOfPages:216,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"bc182ff614fdd60e11dc8ef59f7f3df5",bookSignature:"Kuan-Hsiang Gary Huang and Chen Hsuan Sherry Tsai",publishedDate:"July 4th 2018",coverURL:"https://cdn.intechopen.com/books/images_new/6523.jpg",numberOfDownloads:13242,numberOfWosCitations:8,numberOfCrossrefCitations:7,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:11,numberOfDimensionsCitationsByBook:0,hasAltmetrics:1,numberOfTotalCitations:26,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"September 27th 2017",dateEndSecondStepPublish:"October 18th 2017",dateEndThirdStepPublish:"December 17th 2017",dateEndFourthStepPublish:"March 7th 2018",dateEndFifthStepPublish:"May 6th 2018",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"87842",title:"Dr.",name:"Kuan-Hsiang Gary",middleName:null,surname:"Huang",slug:"kuan-hsiang-gary-huang",fullName:"Kuan-Hsiang Gary Huang",profilePictureURL:"https://mts.intechopen.com/storage/users/87842/images/5999_n.jpg",biography:"Gary KH Huang, MD PhD MSc, is the Director of Allergy, Asthma and Immunology at Albert Einstein Medical Center and Assistant Professor at Thomas Jefferson University Hospital. A Rhodes Scholar, Gary completed his MSc and DPhil at The University of Oxford in immunology research following medical school training at The University of the Witwatersrand. He then served residency and chief residency at Albert Einstein Medical Center and allergy and immunology fellowship at The University of Pennsylvania. His research has been published in leading journals including Nature Communications and Proceedings of the National Academy of Sciences. As a physician scientist, Gary is interested to further personalized medicine in asthma and allergy through phenotyping, particularly in the population affected by the health disparity.",institutionString:null,position:null,outsideEditionCount:null,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"University of Oxford",institutionURL:null,country:{name:"United Kingdom"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"220704",title:"Dr.",name:"Chen Hsuan Sherry",middleName:null,surname:"Tsai",slug:"chen-hsuan-sherry-tsai",fullName:"Chen Hsuan Sherry Tsai",profilePictureURL:"https://mts.intechopen.com/storage/users/220704/images/6001_n.jpg",biography:"Chen Hsuan Sherry Tsai, MD PhD, is currently a medicine resident at Albert Einstein Medical Center, Philadelphia. Sherry is a MBBCh medical graduate from The University of Witwatersrand in South Africa and DPhil graduate from The University of Oxford in UK. She worked as post-doctoral fellow at Drexel University prior to her medicine residency in 2015.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:null},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1047",title:"Pulmonology",slug:"pulmonology"}],chapters:[{id:"61905",title:"Noninvasive Biomarkers of Asthma",doi:"10.5772/intechopen.74486",slug:"noninvasive-biomarkers-of-asthma",totalDownloads:1142,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Asthma is a heterogeneous disease of the lower airways including various types of bronchial inflammation presenting with different phenotypes and endotypes. Therapeutic response of asthmatic phenotypes/endotypes can be predicted by the use of biomarkers of inflammation phenotyping, and in recent years, endotyping of asthmatics allows to predict who will best respond to anti-inflammatory treatment and optimize quality of life of asthmatics by reducing the risk of exacerbations. Based on noninvasive biomarkers of inflammations, several of them have been described that are useful in clinical practice. Some of the noninvasive biomarkers have a particularly important role in the diagnosis and treatment of asthmatics. Monitoring of noninvasive biomarkers, such as fraction of exhaled nitric oxide (FENO), cells in sputum, or biomarkers in exhaled breath condensate (EBC), two main inflammatory phenotypes have been described: eosinophilic phenotype and neutrophilic phenotype. In eosinophilic asthma, as the most prevalent inflammatory phenotype, asthmatics have more than 3% eosinophils in the sputum, elevated levels of FENO, and elevated leukotriene’s cytokine levels in EBC. The most extensively studied biomarkers in asthma are TH2 or more generally T2-related asthmatic endotype. Their clinical benefit might be used to phenotype/endotype features of the underlying type of inflammation and selection of asthmatics, particularly with severe or difficult-to-treat asthma, which most likely will respond to additional biological therapy. In this chapter, we summarize the noninvasive biomarkers available for the management of asthmatics.",signatures:"Mirjana Turkalj, Damir Erceg and Iva Dumbović Dubravčić",downloadPdfUrl:"/chapter/pdf-download/61905",previewPdfUrl:"/chapter/pdf-preview/61905",authors:[{id:"219993",title:"Dr.",name:"Mirjana",surname:"Turkalj",slug:"mirjana-turkalj",fullName:"Mirjana Turkalj"}],corrections:null},{id:"61721",title:"Epidemiological Aspects of Rhinitis and Asthma: Comorbidity or United Airway Disease",doi:"10.5772/intechopen.76773",slug:"epidemiological-aspects-of-rhinitis-and-asthma-comorbidity-or-united-airway-disease",totalDownloads:1173,totalCrossrefCites:2,totalDimensionsCites:3,hasAltmetrics:0,abstract:"Bearing in mind the results of the epidemiological studies, the logical question arises whether allergic rhinitis represents an earlier clinical manifestation of allergic airway disease or itself is causative for asthma. Comorbidity or one disease, the diagnosis of allergic rhinitis often precedes the development of asthma. Literature reports that 40–90% of asthmatics have symptoms of allergic rhinitis. The epidemiological evidence also suggests that allergic rhinitis and asthma radially presented one united airway disease with two-stage than two separate diseases. Symptoms of one disease often predominate and are unrecognized or hidden of another disease even if they exist. The epidemiology evidence of comorbidity of allergic rhinitis and asthma confirmed the new concept of the united airway diseases. Despite the evidence of the correlation between allergic rhinitis and asthma, there is some resistance in clinical practice in recognizing this link.",signatures:"Sanela Domuz Vujnovic and Adrijana Domuz",downloadPdfUrl:"/chapter/pdf-download/61721",previewPdfUrl:"/chapter/pdf-preview/61721",authors:[{id:"217451",title:"Ph.D.",name:"Sanela",surname:"Domuz Vujnović",slug:"sanela-domuz-vujnovic",fullName:"Sanela Domuz Vujnović"},{id:"218903",title:"MSc.",name:"Adrijana",surname:"Domuz",slug:"adrijana-domuz",fullName:"Adrijana Domuz"}],corrections:null},{id:"59799",title:"Meaning of Endotype-Phenotype in Pediatric Respiratory Pathology",doi:"10.5772/intechopen.75029",slug:"meaning-of-endotype-phenotype-in-pediatric-respiratory-pathology",totalDownloads:931,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Respiratory processes that take place in childhood (preschool and adolescence) have a predominant frequency, especially rhinitis and asthma. Family predisposition and the environment define the characteristics of the endotype and the phenotype. Heritage, both of the genes related to bronchial hyperresponsiveness and those related to atopy (production of specific IgE against allergens and hypereosinophilia) are the fundamental basis of those processes that begin at preschool age and continue into adulthood if they do not receive early and etiological treatment. The physiological vagal hyperresponsiveness of the infant; the environment in which it develops, even from the prenatal phase (pregnant smoker); and viral infections are responsible for frequent bronchial processes in the early years that, sometimes, also extend into adolescence. In summary, the coordination of the endotype and the phenotype has led to the acknowledgement and acceptance of these three tracheobronchial processes: transient early wheezing, non-atopic wheezing, and atopic wheezing/asthma.",signatures:"Francisco Muñoz-López",downloadPdfUrl:"/chapter/pdf-download/59799",previewPdfUrl:"/chapter/pdf-preview/59799",authors:[{id:"178692",title:"Dr.",name:"Francisco",surname:"Muñoz-López",slug:"francisco-munoz-lopez",fullName:"Francisco Muñoz-López"}],corrections:null},{id:"62025",title:"Functional Lung Examination in Diagnostics of Asthma and Its Phenotypes",doi:"10.5772/intechopen.74443",slug:"functional-lung-examination-in-diagnostics-of-asthma-and-its-phenotypes",totalDownloads:1025,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"In this chapter, we review the diagnostic approach to asthma phenotypes in children using lung function testing. Various methods are reviewed and their advantages and disadvantages are discussed. Medical history and physical examination including lung auscultation is the first line examination, which may raise the suspicion on asthma. Besides the simple lung auscultation, more advanced approaches (computer analysis of breath sounds) are described. Spirometry and other classical lung function testing methods (body plethysmography, dilution techniques) are discussed with respect to their contribution to asthma diagnostics and phenotype classification. Afterward, impulse oscillometry and methods intended for patients with insufficient cooperation follows. We highlight their potential in diagnostics of early asthma stages. Measurement of exhaled nitric oxide is discussed and its potential for allergic asthma (eosinophilic inflammation) detection is assessed. In conclusion, various lung function testing methods may contribute to both setting the diagnosis of asthma itself and classification of asthma phenotypes. Their smart combination allows for more precise diagnostics and treatment of young patient with bronchial asthma.",signatures:"Frantisek Lopot, Vaclav Koucky, Daniel Hadraba, David Skalicky and\nKarel Jelen",downloadPdfUrl:"/chapter/pdf-download/62025",previewPdfUrl:"/chapter/pdf-preview/62025",authors:[{id:"149044",title:"Mr.",name:"Frantisek",surname:"Lopot",slug:"frantisek-lopot",fullName:"Frantisek Lopot"},{id:"228274",title:"Ph.D. Student",name:"David",surname:"Skalický",slug:"david-skalicky",fullName:"David Skalický"},{id:"241591",title:"Dr.",name:"Václav",surname:"Koucký",slug:"vaclav-koucky",fullName:"Václav Koucký"},{id:"241600",title:"Dr.",name:"Daniel",surname:"Hadraba",slug:"daniel-hadraba",fullName:"Daniel Hadraba"}],corrections:null},{id:"59601",title:"Asthma in the Disadvantaged: A Phenotype in Need of a Personalized, Multidisciplinary Approach to Therapy",doi:"10.5772/intechopen.74530",slug:"asthma-in-the-disadvantaged-a-phenotype-in-need-of-a-personalized-multidisciplinary-approach-to-ther",totalDownloads:1518,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Most patients with asthma can be managed with standardized, traditional therapies; however, 5–10% of patients suffer from disease that is difficult to control. Uncontrolled asthma disproportionally affects low income and racial minority patients. The disadvantaged asthma phenotype is defined by the presence of overlapping social, economic and environmental factors. These factors, such as environmental exposures in substandard housing or suboptimal adherence to controller therapy due to impaired health literacy are challenging to address in the clinic or inpatient setting. Personalized management of the disadvantaged asthma phenotype must target these interconnected factors through a multidisciplinary approach that includes longitudinal collaboration with community-based organizations, social workers and legal aid.",signatures:"Drew A. Harris, Caitlin Welch, Morgan Soper and Yun Michael Shim",downloadPdfUrl:"/chapter/pdf-download/59601",previewPdfUrl:"/chapter/pdf-preview/59601",authors:[{id:"224510",title:"M.D.",name:"Drew",surname:"Harris",slug:"drew-harris",fullName:"Drew Harris"},{id:"225678",title:"Dr.",name:"Y. Michael",surname:"Shim",slug:"y.-michael-shim",fullName:"Y. Michael Shim"},{id:"240100",title:"Dr.",name:"Caitlin",surname:"Welch",slug:"caitlin-welch",fullName:"Caitlin Welch"},{id:"240101",title:"Ms.",name:"Morgan",surname:"Soper (msw)",slug:"morgan-soper-(msw)",fullName:"Morgan Soper (msw)"}],corrections:null},{id:"59631",title:"Phosphodiesterase 3 and 4 Inhibition: Facing a Bright Future in Asthma Control",doi:"10.5772/intechopen.74309",slug:"phosphodiesterase-3-and-4-inhibition-facing-a-bright-future-in-asthma-control",totalDownloads:1304,totalCrossrefCites:4,totalDimensionsCites:5,hasAltmetrics:0,abstract:"A recent status on asthmaticus multiple case report by Beute demonstrated the beneficial effects of phosphodiesterase III (PDE3) and phosphodiesterase IV (PDE4) inhibition. This chapter reviews the possible underlying mechanisms, beside the known effect, for the beneficial effects of a mixed PDE3/4 inhibitor in allergic airway inflammation. Structural cells of the lung and immune system express PDE3 and 4. PDE3 and 4 inhibition have a number of consequences related to physical function and cytokine production. The most direct effect of PDE3 inhibition being relaxation of smooth muscle cells results in bronchodilation. However, PDE3 inhibition appears to go further than a mere inhibitory activity in bronchial smooth muscle. It also affects structural cells, and more importantly, it creates an improved barrier function in endothelial cells. PDE3 and 4 inhibition therefore strengthens the immune barrier; but in addition, it modifies the cells of the immune system itself, as these also express PDE3 and 4 activity, thus changing their function. All aspects of asthma-related pathophysiology seem to be affected by PDE3 and 4 inhibition. Clinical use of a mixed PDE3/4 inhibitor in respiratory diseases is currently limited to a few studies, including life-threatening asthma in which mixed PDE3/4 inhibition has a beneficial effect.",signatures:"Jan Beute, Vincent Manganiello and Alex KleinJan",downloadPdfUrl:"/chapter/pdf-download/59631",previewPdfUrl:"/chapter/pdf-preview/59631",authors:[{id:"100286",title:"Dr.",name:"Alex",surname:"Kleinjan",slug:"alex-kleinjan",fullName:"Alex Kleinjan"},{id:"197845",title:"Dr.",name:"Jan",surname:"Beute",slug:"jan-beute",fullName:"Jan Beute"},{id:"197848",title:"Dr.",name:"Vincent",surname:"Manganiello",slug:"vincent-manganiello",fullName:"Vincent Manganiello"}],corrections:null},{id:"59842",title:"Subcellular Organelles in Immune Responses of Severe Asthma: The Roles of Mitochondria and Endoplasmic Reticulum",doi:"10.5772/intechopen.75148",slug:"subcellular-organelles-in-immune-responses-of-severe-asthma-the-roles-of-mitochondria-and-endoplasmi",totalDownloads:969,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Subcellular organelles including mitochondria and endoplasmic reticulum are now considered as one major target for many therapeutic approaches. In fact, recent evidence has uncovered the roles of mitochondria as a direct inflammatory and immune controller and contributor to the diseases by metabolic dysfunction and/or their abnormal dynamics. In addition, one of the important subcellular organelles, endoplasmic reticulum, also plays as an immune responder in several diseases including bronchial asthma. Recently, we have reported that the endoplasmic reticulum stress and mitochondrial reactive oxygen species (ROS) contribute to the pathogenesis of steroid-resistant severe bronchial asthma through the modulation of immune responses such as production of regulatory cytokines and NLRP3 inflammasome activation. These findings indicate that the subcellular organelles and their complex can be a promising target for the development of novel therapeutic strategies including medicines to cure severe asthma. This chapter is aimed to present the state-of-art information regarding the role of subcellular organelles in severe asthma.",signatures:"Yong Chul Lee and So Ri Kim",downloadPdfUrl:"/chapter/pdf-download/59842",previewPdfUrl:"/chapter/pdf-preview/59842",authors:[{id:"90093",title:"Prof.",name:"So Ri",surname:"Kim",slug:"so-ri-kim",fullName:"So Ri Kim"},{id:"229251",title:"Prof.",name:"Yong Chul",surname:"Lee",slug:"yong-chul-lee",fullName:"Yong Chul Lee"}],corrections:null},{id:"60274",title:"Severe Asthma: Updated Therapy Approach Based on Phenotype and Biomarker",doi:"10.5772/intechopen.74775",slug:"severe-asthma-updated-therapy-approach-based-on-phenotype-and-biomarker",totalDownloads:1695,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Asthma is responsible for considerable global morbidity and health-care costs affecting over 300 million people worldwide. This illness is a heterogeneous condition characterized by chronic airway inflammation and pulmonary tissue remodeling resulting in a variety of clinical manifestations and treatment responses. Recent studies have shown an increasing appreciation of heterogeneity in asthma based on molecular phenotyping, biomarkers, and differential responses to therapies. In terms of asthma classification, perhaps the most important distinction to make is whether the patient has evidence of an eosinophilic inflammatory process characterized by type 2 immune response (Th2) or not. Therefore, personalized therapies to asthmatic patients just will be a reality by identifying and characterizing biomarkers. This review approaches the advances in diagnoses and management of asthma and severe asthma and highlights those with difficult-to-treat asthma based on each phenotype and biomarkers, to assist in the optimization of conventional therapy and to guide the use of targeted therapies.",signatures:"Marcia Regina Piuvezam, Laércia Karla Diega Paiva Ferreira, Talissa\nMozzini Monteiro, Giciane Carvalho Vieira and Claudio Roberto\nBezerra-Santos",downloadPdfUrl:"/chapter/pdf-download/60274",previewPdfUrl:"/chapter/pdf-preview/60274",authors:[{id:"64380",title:"Dr.",name:"Marcia",surname:"Piuvezam",slug:"marcia-piuvezam",fullName:"Marcia Piuvezam"},{id:"117360",title:"Dr.",name:"Claudio",surname:"Bezerra-Santos",slug:"claudio-bezerra-santos",fullName:"Claudio Bezerra-Santos"},{id:"117363",title:"MSc.",name:"Giciane",surname:"Vieira",slug:"giciane-vieira",fullName:"Giciane Vieira"},{id:"228443",title:"MSc.",name:"Laercia Karla Diega",surname:"Paiva-Ferreira",slug:"laercia-karla-diega-paiva-ferreira",fullName:"Laercia Karla Diega Paiva-Ferreira"},{id:"228444",title:"MSc.",name:"Talissa",surname:"Mozzini-Monteiro",slug:"talissa-mozzini-monteiro",fullName:"Talissa Mozzini-Monteiro"}],corrections:null},{id:"60119",title:"Monoclonal Antibodies for Asthma Management",doi:"10.5772/intechopen.75409",slug:"monoclonal-antibodies-for-asthma-management",totalDownloads:923,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Asthma is a multifactorial and complex disease, with different degrees of risks and severity, as well as the response to treatment. Medications currently available are most effective in severe asthma; nonetheless, there is a percentage of patients that have no response to the treatment that guidelines suggest in their recommendations. In the last years, there have been new insights in inflammatory molecules that contribute to asthma physiopathology and a lot of them have been considered to be possible targets in the management of severe asthma. As a consequence of this, a few monoclonal antibodies have been developed evidencing their effectiveness in the treatment of the disease. The study of these new therapies has allowed the identification of specific inflammatory pathways. This chapter intends to offer a critical perspective of the current guidelines for the management of severe asthma, as well as to discuss current treatments and the future on new molecules. Through an adequate characterization, different phenotypes will be recognized and associated with a determinate biomarker and should be used to select the treatment that can offer the highest efficiency in these patients. In this way, the treatment will be directed to a personalized medicine.",signatures:"Dolly V. Rojas, Diana L. Silva and Carlos D. Serrano",downloadPdfUrl:"/chapter/pdf-download/60119",previewPdfUrl:"/chapter/pdf-preview/60119",authors:[{id:"224912",title:"Dr.",name:"Carlos",surname:"Serrano Reyes",slug:"carlos-serrano-reyes",fullName:"Carlos Serrano Reyes"},{id:"224913",title:"Dr.",name:"Dolly",surname:"Rojas Mejía",slug:"dolly-rojas-mejia",fullName:"Dolly Rojas Mejía"},{id:"239946",title:"Dr.",name:"Diana",surname:"Silva",slug:"diana-silva",fullName:"Diana Silva"}],corrections:null},{id:"59453",title:"The Asthma Obese Phenotype",doi:"10.5772/intechopen.74327",slug:"the-asthma-obese-phenotype",totalDownloads:849,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Asthma is a very heterogeneous disease, with two major asthma phenotypes, the allergic and the late onset asthma, differentiated by the triggers, the cellular dominance, the Th1/Th2 inflammation pattern and the local and serological markers. As there were many overlapping biological markers between these two phenotypes, different types of tentative classification followed. A clinical one makes a difference between the predominant eosinophilic one (with better response to glucocorticoid) and the predominant neutrophilic one with more severe evolution and low rate of therapeutical improvement. Another approach was based on cluster analysis of asthma characteristics (onset, atopic status, and body mass index (BMI)), sensitivity to methacholine test, peak flow variability, bronchodilatation response, postbronchodilator level of FEV1, sputum eosinophil and neutrophil count, FeNO test, clinical symptom scores, treatment scheme to control symptoms, exacerbations, and severity. Emerging data suggest a distinct late onset obese-asthma phenotype, with a specific pathophysiology, comorbidities, and clinical evolution. This chapter reviews the main characteristics of this phenotype: the specific lung function impairment, the underlying inflammation, the adipokine profile, the comorbidities and the therapeutical approach. 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Understanding helps clinicians make rational therapeutic decisions. Omalizumab has been widely used in clinical practice in Europe and America for over a decade as an add-on therapy to treat patients who have severe asthma. These real-world clinical effectiveness studies have confirmed the benefits, cost-effectiveness, and clinical utility. The purpose of this review is to present the effects of anti-IgE treatment in severe non-atopic asthma and in asthma-COPD overlap syndrome (ACOS). 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Population growth and increased demand for food have led humanity to look for new ways to increase food production. Energy, which is an essential input in agriculture, has been considered as a feasible option to increase food productivity and enhance food security. As a result, agriculture has become energy-intensive to meet increased food and biofuel demand [1].
After the green revolution, the introduction of high yield varieties and intensive crop management practices has increased the use of energy manifolds in both developing and developed countries [2, 3].
It is anticipated that energy input for crop production will increase further mainly due to population and economic growth, climate change, degrading quality of soils, and shortage of labor [4, 5]. On the other hand, intensive use of energy in crop production is posing many threats to agriculture sustainability, human health, and sustainability of the environment. Sometimes to get maximum returns farmers make overuse of energy inputs. This has led to increased energy used in crop production at a faster rate compared to other sectors. Escape of traditional practices in agriculture, technological advancements in Agri-machinery, and increased application rate of fertilizer is also responsible for increased use of energy in crop production. It is also ascribed to the introduction of high yielding varieties, and excessive use of biocides and chemical fertilizer. In addition to this diesel fuel consumption has also increased due to farm mechanization and pumping of underground water. Finally, scarcity of cultivable lands and irrigation water increased the human population, and the desire for improved living standards has also contributed to the intensive use of energy in agriculture. Both agriculture and the environment are dependent on each other and the efficient use of energy is a basic requirement for sustainable agriculture [6, 7]. Sustainable development of agriculture is dependent on high energy use efficiency with low energy use in crop production. Thus, increasing energy use efficiency in crop production is important for food security and environmental sustainability. Keeping in view the multiple interactions of agriculture with the environment, analysis of the consumption of energy (both operational and embodied) in the agriculture system is urgently needed to fight both environmental issues stemming from agriculture and climate change impacts on agriculture.
Agriculture contributes 24% of global Greenhouse gases emission, and agricultural activities are considered a significant source of pollution [8, 9]. It is estimated that GHG emission from agriculture has doubled in the last 50 years, they could increase by another 30% by 2050 [10]. Increasing use of energy inputs in agriculture is associated with numerous environmental problems such as loss of biodiversity, pollution of the aquatic environment by chemical fertilizers and pesticides, and high consumption of non-renewable energy resources. Among all other energy inputs used in crop production, diesel fuel and fertilizers have the highest share of energy consumption [11, 12]. Studies have found that fertilizer and pesticides are among the most substantial secondary sources of CO2 emissions [8]. According to an intergovernmental panel on climate change [13]. Direct and indirect consumption of fossil fuels for crop production leads to the emission of carbon dioxide (CO2), nitrous oxide (NO2), and methane (CH4). Climate Change resulting from greenhouse gasses is the most important environmental challenges in today’s world [13]. A significant portion of these greenhouse gases is produced by agriculture. About 10–12% of all anthropogenic GHG emissions are contributed by agricultural greenhouse gasses emission [14].
The major use of commercial energy in agriculture is during the production and operation of agricultural machinery. Most of the agricultural operations like, land preparation, irrigation, fertilization, spraying, and harvesting are performed using fossil fuels. The combustion of fossil fuels in agricultural machinery releases CO2 into the atmosphere.
Excessive or over-use of fertilizers leads to loss of nutrient elements, which are main contributors to non-point source pollution from agriculture, degradation of water and soil quality, decrease in the quality of agricultural products, and increase in air emissions. Due to losses incurred by pest attacks, the use of pesticides is increasing at a higher rate. There is a 4.4% average annual growth in the use of agrochemicals worldwide [15]. This increased use of pesticides is causing air, water, and soil pollution. The increasing use of pesticides in agriculture is becoming the main environmental hazard and a major contributor to agriculture pollution. Additionally, agriculture is thought to be the major contributor of N2O by indirect and direct sources [16]. The food production system is under increasing pressure due to consistent population growth and climate change; by an increase in demand for food security while protecting the natural resources by minimizing the environmental footprints [17].
Both sustainable environment and sustainable agriculture are dependent on each other. Environmental factors have a significant contribution to agriculture; agriculture, as compared to other sectors, is more dependent on the natural environment. Agriculture is the source of food and fiber for the human being and vital for human existence; as a result, sustainable agriculture development is not just related to economic development but also human survival. Therefore, efficient use of energy is one of the conditions for sustainable agriculture [18].
Efficient use of energy inputs helps to increase production and productivity, profitability and competitiveness of agriculture, and sustainable rural living. Higher energy use efficiency will promote sustainable agriculture by minimizing environmental problems and preventing the destruction of natural resources. The use of renewable energy sources and increase in efficiency of energy can also make a significant contribution in achieving sustainable energy development goals [19]. Currently, the world is focused to develop a production system that maintains high levels of output while minimizing the input of fossil energy and as a result, helps to reduce greenhouse gas emissions. To combat global warming, reducing emissions of greenhouse gases by minimizing the direct and indirect use of fossil fuels for crop production is a vital strategy. Energy efficiency is an essential element for achieving sustainable agricultural development. This is also important for increasing economic returns, preserving fossil fuel reserves, and sustainable agricultural production. Therefore, environmental impact assessments, energy analysis, and GHG emission assessments are important components.
Wheat (
There’s substantial use of energy in wheat production both directly and indirectly. In operations like tillage, planting, and harvesting there’s a direct use of energy, while energy is indirectly used in inputs such weedicides, fertilizers, and agriculture machinery (Figure 1).
System boundaries of wheat production system in Pakistan.
Human labor is the most important source of the energy in agriculture, although the introduction of machines has reduced human labor in the industry in the field activities, human labor is still playing its key role. In agricultural activities, human labor is used almost at every step, from manual work on the farm, driving agricultural machinery, maintenance, fertilizer and pesticide application, irrigation, and harvesting to management. In developing countries, human power constitutes 73% of the total energy use on farms [21]. Maybe in the future with full mechanization of farms, the use of human labor will be reduced, but some scientists believe that organic and modern agriculture needs more manual work for weeding and harvesting [22, 23]. There are different estimates for the energy output of human labor on farms. The main physical activities in wheat production are driving a tractor, manual sowing, manual fertilization and spraying, harvesting, and transportation. In this study, human labor work was calculated based on the information provided by the wheat farmers on the number of hours spent in each operation. The energy equivalent of human labor is muscle power used in the field operations of crop production. The energy equivalent of human labor is 1.96 MJ/h determined from literature (Table 1). Labor energy consumption can be determined by multiplying total hours of human activity by the energy coefficients of workers. In Pakistan, where still mechanization of the farms is not so common, there is ample use of human labor in the farm operations. On average 178.45 hours of human labor is used in one hectare of wheat production.
Inputs | Mean (S.E) | Min. | Max. | Energy equivalents |
---|---|---|---|---|
Human Labor (hours) | 178.45 (6.38) | 3.89 | 391.82 | 1.96 |
Seed (kg) | 134.19 (0.86) | 123.5 | 148.50 | 15.7 |
Diesel fuel (liter) | 139.98(3.94) | 29.64 | 397.67 | 56.31 |
Irrigation water (m3) | 8483.07 (3887) | 0 | 612,809 | 1.02 |
Fertilizer (all) Nitrogen (kg) Phosphate (kg) Potash (kg) | 345.15 (10.52) 177.68 (7.39) 130.7 (4.160 37.36 (5.36) | 0 0 0 0 | 741 617.50 370.50 370.50 | 66.14 12.44 11.15 |
Herbicides (kg) | 1.60 (0.10) | 0 | 4.94 | 278 |
Farmyard manure (kg) | 30,982.5 (2668) | 0 | 180,000 | 0.3 |
Quantity of inputs used in wheat production in Pakistan and their energy equivalents.
Seed is mostly provided by seed producers and private seed companies; however, some farmers also use seeds from their farms. Wheat is planted either by seed drill or manually by spreading, the amount of seed also varies according to the sowing method. On average, 134.19 kg/ha wheat seed is used in Pakistan. Energy equivalents of the seed are the energy used in the preparation of wheat seed. Energy inputs of seed can be calculated by multiplying the quantity of seed used per hectare with its energy equivalents (8.65 MJ/kg).
The embedded energy necessary to manufacture machinery for crop production is a tertiary input that typically has a minor impact on the total energy. Farrell et al. [24] reported that machinery accounted for only 1.7% of the total energy associated with corn production. Therefore, energy use in machinery is not included in the estimation of energy used in wheat production.
Diesel fuel is the main fuel used in farm machinery and water pump for different crop operations. Consumption of the fuel is dependent on several factors like climate, crop, soil, rolling assistance, and speed. In dry and warm climate use of diesel is more for irrigation than other operations, while in dry farming system diesel is mainly used in tillage and sowing as compared to irrigation. The energy output of diesel fuel was calculated by multiplying liter/ha with fuel equivalent of energy per liter. Energy equivalents of diesel fuel are 44.83 MJ/L. The average diesel fuel use is 39.98 liter/ha in wheat production.
Soil nutrients are the most important obstacle to crop productivity. Fertilizers are used by farmers to increase soil nutrients and resultant growth. Chemical, organic, and biological fertilizers are used in crop production, but just chemical fertilizers are believed to increase the yield more than any other fertilizer. Nitrogen is the main mineral fertilizer being used in crop production. Nitrogen fertilizer is energy-intensive, on the other hand, phosphate and potash do not need high energy. Chemical and chemical fertilizers energy equivalents mean the energy consumption for production, packing, and distribution of the material. On average 177.68 kg per hectare of nitrogen nutrients, 130.17 kg phosphate nutrients, and 37.36 kg potash are used in wheat production in Pakistan. Additionally, 1.60 kg per hectare of herbicides are used in wheat production for weed management.
While dry-land wheat is dependent on rains, but irrigated wheat requires irrigation water throughout the production process. On average 8483.07 m3 of irrigation water is used in one hectare of wheat. The energy equivalents of the water for irrigation input is the indirect energy of irrigation consists of the energy consumed for manufacturing the material for the dams, canals, pipes, pumps, and equipment as well as the energy for constructing the walls and building the on-farm irrigation system. The energy equivalent of the irrigation was estimated to be 0.014 MJ/m3.
Energy consumption in wheat production includes; labor, embodied energy in seed, chemical and fertilizers, diesel, and water for irrigation. Except water for irrigation all other input energies are same for rainfed (dry land) wheat. There’s a wide variation of input energy (Table 2), which shows high level of mismanagement in usage of energy resources among some wheat producers. This also indicates that there is great scope for improving energy consumption efficiencies of wheat producers in both farming systems. On average total input energy consumption in irrigated wheat is 49,079.27 MJ ha−1 and 31421.59 MJ ha−1 for rainfed wheat. The higher use of input energy use in irrigated wheat can be attributed to irrigation energy. Highest share of energy consumption in irrigated wheat is from chemical fertilizer (31.33%), while farmyard manure contributes highest in total input energy consumption in rainfed wheat.
Energy Inputs | Irrigated | Rain-fed | ||
---|---|---|---|---|
Energy equivalents MJ ha−1 | SD* | Energy equivalents MJ ha−1 | SD* | |
Human labor | 402.07 | 166.78 | 259.45 | 163.12 |
Seed | 2157.54 | 193.91 | 2017.93 | 157.72 |
Diesel fuel | 9435.13 | 2697.53 | 5155.56 | 1835.76 |
Water for irrigation | 13578.13 | 7578.43 | — | — |
Chemicals | 627.10 | 358.56 | 129.87 | 324.53 |
Farmyard manure | 7518.00 | 10767.05 | 12837.32 | 12363.56 |
Nitrogen | 13069.26 | 6998.60 | 9437.68 | 6374.82 |
Phosphate | 1702.02 | 675.63 | 1474.07 | 1015.25 |
Potash | 589.68 | 994.91 | 109.69 | 354.96 |
Yield (output) | 50756.79 | 11715.46 | 34427.32 | 20161.36 |
Energy balance in both production systems.
Standard Deviation.
In fertilizers, nitrogen constitutes the highest share, 80.39% and 82.31%, in irrigated and rain-fed wheat, respectively. Highest share of nitrogen in total fertilizer consumption is also recorded in some other countries by [25, 26, 27]. Though, nitrogen fertilizer has played key role in enhancing the food production, at the same time excessive use of nitrogen has contributed to soil, water, and air pollution in many parts of the world. Sustainability of crop production is threatened by overuse of inorganic fertilizer which inflicts severely on soil health. The need for nitrogen can be reduced by fertilization management and integrating a legume in crop rotation. In order to reduce demand for inorganic fertilizer in medium term, soil fertility and organic matter contents can be increased by applying composts, chopped residues or other soil amendments. Almost, 55% of the farmers in Punjab (Pakistan) just use inorganic fertilizers, and 30% use combination of both organic and inorganic. Furthermore, farmers use more than recommended dose of fertilizer (Zulfiqar et al. 2017). So, adopting balanced use of fertilizer by wheat producers will reduce the use of nitrogen, as nitrogen has been found to be main difference between conventional and sustainable farming system (Pimentel et al. 2005). So, consumption of nitrogen with organic fertilizer and balanced use of fertilizer will reduce energy consumption in production system and improve its productivity.
Water for irrigation is the second largest consumer of energy in irrigated wheat. Diesel fuel is used for operating machinery in wheat production, it constitutes 19.25% of the total input energy consumption in irrigated and 16.4% in rain-fed. Börjesson and Tufvesson [28] found diesel as the main energy input after fertilizer in wheat, sugar beet, canola and maize. Particularly in irrigated land where diesel is also used for ground water pumping its use is higher (9435.13 MJ ha−1) than rain-fed (1835.76 MJ ha−1). Siddiqi and Wescoat [29] reported that ground water pumping consumes 61% of direct energy in Punjab. Pumping systems are mostly dependent on fossil fuels, almost 91% of the total installed pumps use diesel driven motors.
Furthermore, share of human labor (0.81%) with amount of 402.07 MJ ha-1 in the irrigated farming system is the least in total energy consumption, followed by chemicals and seed. In rain-fed wheat share of chemical (0.4%) in total energy consumption was negligible followed by human labor and seed. The average output energy in irrigated wheat was calculated as 50756.79 MJ ha-1, and 34427.32 MJ ha-1 for rain-fed wheat farming.
Energy ratio which is a relationship between input and output energy is often used as an index to measure energy efficiency in crop production. Energy ratio can also be used to determine subsistence of the system in isolated societies. If ratio is lower than one, it means system is losing energy and if it is higher than one it means system is earning energy. Energy efficiency for irrigated and rain-fed wheat production is estimated to be 1.03 and 1.09, respectively (Table 3). Irrigation can be the reason for difference between two production system, higher energy efficiency for rain-fed and comparatively low for irrigated. This suggests that an efficient irrigation system will improve energy ratio in irrigated wheat. For comparisons between two production system energy efficiency may not be very good approach, because difference in energy efficiency can be due to difference in energy input and yield. Ziaei et al. [30] said that energy productivity is comparatively a better parameter to show the difference between two production systems, as it calculates the ratio of production yield per kg into consumer energy. Estimates of energy productivity shows that, for each unit of input energy (MJ) consumed in wheat, 0.07 and 0.06 yield units are achieved in rain-fed and irrigated wheat production, respectively (Table 3). This again shows that, energy is more efficiently being used in rainfed production system. Specific energy was estimated to be 12.70 and 14.49 MJ kg−1 for rain-fed and irrigated wheat production (Table 3). Lower value of specific energy shows that less amount of energy is used for production of one yield unit, as it is reciprocation of energy productivity. As a result, rain-fed is superior to irrigated wheat production from specific energy perspective also. The net energy per hectare for rain-fed and irrigated wheat production was 3005.73 and 1677.52 MJ, respectively.
Energy indices | Unit | Rainfed | Irrigated | Explanation of parameters |
---|---|---|---|---|
Energy use efficiency (Ee) | — | 1.09 | 1.03 | =Output energy/total input energy |
Energy Productivity (Ep) | Kg MJ−1 | 0.07 | 0.06 | =Yield (kg)/ total input energy |
Specific energy (Se) | MJ kg−1 | 12.70 | 14.49 | =Total input energy/yield(kg) |
Net energy (Ne) | MJ ha−1 | 3005.73 | 1677.52 | = Output energy-Total input energy |
Direct energy (DE) | MJ ha−1 | 5415.01 | 23415.33 | =Human labor + water for irrigation + Diesel fuel |
Indirect energy (IDE) | MJ ha−1 | 26006.56 | 25663.6 | =Tractor + Harvester + Herbicides + Seed + Chemical fertilizers + Farmyard manure |
Renewable energy (RE) | MJ ha−1 | 15114.7 | 23665.75 | =Human Labor + Seed +Water for irrigation + Farmyard manure |
Non-renewable energy (NRE) | MJ ha−1 | 16306.67 | 25423.19 | =Tractor + Harvester +Diesel Fuel + Herbicides + Chemical fertilizers |
Total energy input | MJ ha−1 | 31421.59 | 49079.27 | =NRE + RE or = DE + IDE |
Energy indices for wheat production in Pakistan.
The distribution of input energy according to renewable and non-renewable, direct and indirect forms is important for energy analysis. In both production systems, ratios of indirect and non-renewable energy are higher than direct and renewable energy. Higher share of non-renewable energy in irrigated wheat production is due to high dependence on fossil fuels. In other words, common use of diesel driven motor for ground water pumping and higher use of chemical fertilizer is the reason for share of non-renewable energy. Penetration of electricity driven irrigation systems, efficient water management, and balanced use of fertilizer will reduce share of the non-renewable energy in agricultural systems. Moreover, investment in renewable energy system such as solar, wind etc. will improve the situation. According to [31] improvement in energy efficiency and increase in amount of renewable energy in agricultural system is very important to achieve sustainable system of food production.
Traditionally input–output ratios have been used to determine efficiency. Though, input–output ratios are also helpful in explaining efficiency of the system. However recently, researchers have started applying Data Envelopment Analysis (DEA) to analyze efficiency of farmers. DEA is generalization of single-input single-output technical efficiency measure of Farrel (1957) and use multiple-input multiple-output technique to evaluate the relative efficiency of peer units with respect to multiple performance measures [32, 33]. A decision-making unit called DMU are under evaluation in DEA. A DMU is considered as efficient when no other DMU can produce more output using an equal or lesser amount of inputs [34].
An input-oriented DEA approach was used to determine technical, pure technical and scale efficiencies of wheat farmers in both production systems. Technical efficiency of all farmers was evaluated using CCR model, and BCC model was used to determine pure technical (PTE) and scale efficiency (SE). The results from CCR and BCC model for rain-fed wheat producers in Pakistan are presented in Figure 2. It can be seen from the figure that only about 18% rainfed farmers are technically efficient. This shows that there is a considerable inefficiency between wheat producers in the study area. From efficient farmers 17% are efficient in both technical and pure technical efficiency score; this means that these farmers are globally efficient and operating at most productive scale size, on the other hand the 22% farmers are only locally efficient farmers and they have disadvantageous scale size. Additionally, 14% and 36% of the farmers have pure technical and technical efficiency score less than 0.5.
Percentage distribution of TE, PTE, and SE scores of wheat producers in rainfed production system.
Efficiency scores of irrigated wheat producers are demonstrated in Figure 3. About 34% irrigated farmers are technically efficient and 42% are pure technically efficient. Among efficient farmers 90% are globally efficient and 10% are locally efficient due to scale problem. Considering CCR model 7% farmers have efficiency scores between 0.9 to less than 1 and 19% have between 0.8 to less than 0.9. On the other hand, in BCC model 13% had scores between 0 to less than 1 and 16% had between 0.8 to less than 0.9. Less than one score of the pure technical efficiency means that producer is using more energy from different sources than required [35].
Percentage distribution of TE, PTE, and SE scores of wheat producers in irrigated production system.
Table 4 presents the summarized statistics for technical efficiency, pure technical efficiency and scale efficiency for wheat producer of Pakistan. The results revealed that average technical efficiency of wheat producer in rain-fed production system was 0.62 and in irrigated it was 0.82. The pure technical efficiency and scale efficiency was 0.78 and 0.67, respectively in rain-fed, and 0.87 and 0.85 in irrigated wheat production system. The technical efficiency of irrigated wheat farmers varied between 0.12 to 1 which shows that all farmers did not have knowledge of right production techniques or they were not applying at the right time. The low average values of scale efficiency in both production systems imply that the average size of the wheat farms is not equal to optimal farm size. This mean if the inefficient wheat farmers operate at optimal scale size considerable saving of energy from different sources is possible without affecting the yield level.
Particular | Rain-fed | Irrigated | ||||||
---|---|---|---|---|---|---|---|---|
Mean | SD | Min | Max | Mean | SD | Min | Max | |
Technical Efficiency | 0.629 | 0.291 | 0.126 | 1 | 0.825 | 0.179 | 0.224 | 1 |
Pure Technical Efficiency | 0.782 | 0.222 | 0.35 | 1 | 0.879 | 0.141 | 0.420 | 1 |
Scale Efficiency | 0.674 | 0.287 | 0.12 | 1 | 0.869 | 0.161 | 0.230 | 1 |
Average efficiency of rain-fed and irrigated wheat production in Pakistan.
The amount of physical inputs and output for 10 efficient and inefficient farmers based on CCR model in both rain-fed and irrigated wheat production system are presented in Table 5. The efficient farmers use all inputs in less amount compared to inefficient farmers in irrigated production system. While in rain-fed production system except diesel and nitrogen use of all other inputs was low for efficient farmers than inefficient. Inefficient farmers in rain-fed production system use more human labor hours by 27.78%, seed by 1.92%, FYM by 48.5%, and phosphate by 7.14%. In irrigated production system, use of inputs by efficient farmers is lower than inefficient farmers by, 28.40% for human labor hour, 11.61% for diesel fuel, 34% for chemicals, 42.85% for nitrogen, 34.6% for phosphate, 59.97% for potash and 60% for water for irrigation. Looking at output it is evident that yield of efficient farmers is higher than inefficient farmers in both production systems.
Inputs/output (unit) | Rainfed | Irrigated | ||||
---|---|---|---|---|---|---|
10 EF (1) | 10 IF (2) | Difference (%) (2–1) *100/2 | 10 EF (1) | 10 IF (2) | Difference (%) (2–1)*100/2 | |
Human Labor (h) | 80.04 | 110.84 | 27.78 | 184.65 | 257.92 | 28.40 |
Seed (kg) | 133.38 | 136 | 1.92 | 135.88 | 130.91 | −3.79 |
Diesel (l) | 89.16 | 65.94 | −35.21 | 140.58 | 159.06 | 11.61 |
Farmyard manure (kg) | 25,688 | 49,894 | 48.51 | 0 | 39,520 | |
Herbicide (kg) | 0.12 | 0 | −0.12 | 1.70 | 2.59 | 34.36 |
Nitrogen (kg) | 102.91 | 98.84 | −4.11 | 148.2 | 259.35 | 42.85 |
Phosphate (kg) | 80.27 | 86.45 | 7.14 | 104.97 | 160.55 | 34.61 |
Potash (kg) | 12.33 | 0 | −12.33 | 49.35 | 123.31 | 59.97 |
Water for irrigation | — | — | — | 2187.43 | 3033.06 | 27.88 |
Wheat (kg) | 4004.64 | 592.92 | −575.40 | 3946.32 | 2041.20 | −93.33 |
Amount of input and output for 10 efficient and inefficient wheat producers.
EF = Efficient Farmers.
IF = Inefficient Farmers.
Energy security and environmental problems due to its use are the major concern for most of the developing world. Agriculture is among the largest energy consuming sectors; this chapter was an effort to estimate energy use in wheat production which is an important staple food in Pakistan. Data on quantity of different energy inputs used in wheat production was collected through field surveys. Energy consumption in wheat was calculated by multiplying amount of inputs with their energy equivalents drawn from literature. Energy indices which are important to interpret how energy is being used were also estimated. A non-parametric data envelopment analysis technique was used to identify efficient and inefficient farmers.
In Pakistan two different wheat production systems prevail (rain-fed and irrigated). So, all estimations were performed separately for both production systems. The results of the study showed that, FYM, fertilizer, and diesel fuel has the highest share in total input energy consumption in rain-fed wheat, while in irrigated wheat fertilizer, water for irrigation, and diesel were the main energy consuming inputs. In both production systems consumption of indirect and non-renewable energy resources was higher than direct and renewable energy resources. The results of the DEA analysis revealed that, 85% of the farmers in rain-fed wheat production and 65% in irrigated wheat production were technical efficient in Pakistan. Based on BCC model the estimate of target energy use showed that there is a great scope for energy savings from various input sources. If the optimum energy requirement levels are adopted by farmers, then it would lead to increase in energy efficiency. Comparison of 10 most efficient and no-efficient farmers revealed that input usage of inefficient farmers is comparatively higher than efficient ones with no difference in yield output and size. Based on result it could be said that there is dire need for dissemination of information about best agricultural practices and economic benefits of use of inputs at recommended levels. Adoption of better agriculture technologies is highly recommended as it will result in improvement in efficiency of use of diesel and human labor. Most of the wheat is cultivated manually and majority of the farmers apply flood irrigation leading to higher use of water and diesel fuel also. Efficient management of water for irrigation would improve energy efficiency and minimize environmental impacts.
The authors declare no conflict of interest.
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From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. 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Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. 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Among them are those associated with pollution, resource extraction and overexploitation, loss of biodiversity, soil degradation, disorderly land occupation and planning, and many others. These anthropic effects could potentially be caused by any inadequate management of the environment. However, ecosystems have a resilience that makes them react to disturbances which mitigate the negative effects. It is critical to understand how ecosystems, natural and anthropized, including urban environments, respond to actions that have a negative influence and how they are managed. It is also important to establish when the limits marked by the resilience and the breaking point are achieved and when no return is possible. The main focus for the chapters is to cover the subjects such as understanding how the environment resilience works, the mechanisms involved, and how to manage them in order to improve our interactions with the environment and promote the use of adequate management practices such as those outlined in the United Nations’ Sustainable Development Goals.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/39.jpg",keywords:"Anthropic effects, Overexploitation, Biodiversity loss, Degradation, Inadequate Management, SDGs adequate practices"},{id:"38",title:"Pollution",scope:"\r\n\tPollution is caused by a wide variety of human activities and occurs in diverse forms, for example biological, chemical, et cetera. In recent years, significant efforts have been made to ensure that the environment is clean, that rigorous rules are implemented, and old laws are updated to reduce the risks towards humans and ecosystems. However, rapid industrialization and the need for more cultivable sources or habitable lands, for an increasing population, as well as fewer alternatives for waste disposal, make the pollution control tasks more challenging. Therefore, this topic will focus on assessing and managing environmental pollution. It will cover various subjects, including risk assessment due to the pollution of ecosystems, transport and fate of pollutants, restoration or remediation of polluted matrices, and efforts towards sustainable solutions to minimize environmental pollution.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/38.jpg",keywords:"Human activity, Pollutants, Reduced risks, Population growth, Waste disposal, Remediation, Clean environment"},{id:"41",title:"Water Science",scope:"