Comparison of various issues in routing protocols and solutions to handle the issues.
\r\n\tNotably, the book encourages academic scholars and researchers to contribute to the modern concepts of CSR. Fundamentally, it speaks for well-developed literature for entrepreneurs and managers, thus assisting them in the decision-making process.
\r\n\tFurthermore, this book is of great value to policymakers, practitioners, and corporations, thus contributing to various disciplines (e.g., social science and management).
\r\n\tThese proposed themes encourage future researchers and professionals to share their ideas, concepts and work concerning these subject domains. All these suggested topics had recommended under the rubrics of CSR. Perhaps, all the professionals, researchers, and scholars are welcome to submit their piece of work, in particular to the suggested topics.
\r\n\tIndeed, the recommended topics include the following but are not limited to these only.
\r\n\t• Corporate Governance and Sustainability
\r\n\t• Green Innovation and CSR
\r\n\t• Social Entrepreneurship
\r\n\t• Green Economy and Social and Environmental Sustainability
\r\n\t• Sustainable Development and Industrialization
A wireless network can work under two modes namely infrastructure and infrastructureless. In the “ad hoc” topology, the user does not rely on fixed infrastructure where the nodes are self-configured and self-managed. On the other hand in “infrastructure “topology, the nodes are under the control of a centralized authority called base station. Wireless multi-hop networks, also known as ad hoc networks have been used in many applications like military, disaster relief communications and emergency. An ad hoc network is a self-organizing multi-hop wireless network, which is independent neither on fixed infrastructure nor on predetermined connectivity. It is a collection of nodes, which communicate with each other using radio transmissions. In ad hoc network, there is no base station to act as router. The intermediate nodes will act as a router; source node will use these nodes for routing their message. Thus, each and every of the node forwards packets on behalf of other nodes until the packet is received by the destination from its sender. Therefore, data should be forwarded from source to destination through multiple hops. Ad hoc networks rely on multi-hop transmissions among the nodes in the same channel. Nodes communicate with each other through the intermediate nodes. So, the efficient performance and availability of each node is important in ad hoc network environment. Hence an efficient routing protocol is required to enhance the communication in MANET.
Thus routing becomes a major challenging task in MANET. In this paper, a review about the technologies, characteristics, advantages and disadvantages of the routing protocols in ad hoc network are provided.
The paper continues as follows, Section 2 summarizes the issues involved in ad hoc routing protocols. In Section 3 the routing protocols are organized as follows.
Reactive (on-demand) (Section 3.1).
Proactive (table-driven) (Section 3.2).
Hybrid (Section 3.3).
Hierarchical (Section 3.4).
Multipath (Section 3.5).
Multicast (Section 3.6).
Geographical (location-aware) (Section 3.7)
Geographical multicast (Section 3.8).
Power-aware (Section 3.9).
Finally, Section 4 provides the conclusion for this paper.
Due to the highly dynamic nature of mobile ad hoc network, it results in frequent and unpredictable changes in network topology and hence makes routing among the mobile nodes as a complex and difficult task. The challenges and complexities together with the importance of routing protocols make the routing process, as the most active and innovative research area in the MANET domain. The issues in routing techniques includes the large area of flooding, greedy forwarding, flat addressing and widely distributed information, large power consumption, interference and load balancing [1] (Table 1).
Issues | Protocol | Approach |
---|---|---|
Large area of flooding—flooding is a routing technique used to forward packets from the source to destination during the route discovery phase or in a recovery phase. | 1. Distance routing effect algorithm for mobility (DREAM) [2] | Flooding area is reduced by limiting number of neighbors that can forward a route request message. |
2. Location aided routing (LAR) [3] | Nodes location information is used for routing the packets. Limiting the flooding area into “request zone”. | |
3. Location based multicast (LBM) [4] | Similar to LAR, limiting the flooding area into “forwarding zone” | |
4. Geographical distance routing (GEDIR) [5] | Greedy forwarding approach is used. | |
5. Temporally-ordered routing algorithm (TORA) [6] | DAG is constructed rooted at destination and ordered routing scheme is used | |
6. Geographical GRID (GeoGRID) [7] | The process of portioning the geographical area of the network into smaller areas called grids. | |
7. Geographical TORA (GeoTORA) [8] | Uses any-cast any group-cast forwarding approach | |
8. Zone routing protocol (ZRP) [9] | Overlapped zone are created based on the separation distance between the mobile nodes. Peripheral nodes are selected to forward the control packets within the zone. | |
9. Mobile just-in-time multicasting (MOBICAST) [10] | Routing area is divided into two parts namely: a delivery zone and forwarding zone. | |
Greedy forwarding—greedy forwarding (GF) is one the routing technique that relies on only single path from the source to its destination which is discovered. By using GF, the major challenges encounter is defined as ‘GF empty neighbor set problem’. The forwarding process reaches a dead end, when a node cannot find any neighbor which is closer to the destination then itself. | 1. FACE routing protocol [11] | Unit graph approach is utilized: two nodes communicated with each other if the Euclidean distance between them is less than some fixed amount. |
2. Geographical routing without location information (GRLI) [12] | Extended ring search: this search process continues until a node closes to destination is identified else if not found, the search is extended until a predetermined a TTL | |
3. Bounded Voronoi greedy forwarding (BVGF) [13] | Greedy routing decision is based on the location of the direct neighbors of each node. | |
4. Greedy distributed spanning tree routing (GDSTR) [14] | Hull tree approach is used | |
5. Greedy perimeter stateless routing (GPSR) [15] | Greedy forwarding and perimeter forwarding approach are used | |
Flat addressing and widely-distributed information—In a MANET, due to the distribution of mobile nodes over the network and the restriction in transmission range of each node’s may cause some nodes to have poor knowledge about the network. | 1. Grid location service (GLS) [16] | Based on distributed location servers (DLS) avoids the congestion in the node. |
2. Dynamic address routing (DART) [17] | Utilizes dynamic address scheme that ensures the scalability | |
3. GPS ant-like routing algorithm (GPSAL) [18] | Based on ant colony optimization. A specifically defined node namely ant node is responsible for collecting and forwarding the location information around the network. | |
4. Augmented tree-based routing (ATR) [19] | Based on the structured address space. | |
Large power consumption—in a MANET, routing techniques depends upon the battery power of the node. Thus more power consumption will increase the overhead in the transmission. | 1. Infra-structure AODV for infrastructure ad-hoc networks (ISAIAH) [20] | 1. Modified forwarding approach: selecting the routes that pass through power base stations (PBSs) instead of through mobile nodes. Thus the amount of power utilized by each node can be reduced. 2. Nodes are allowed to enter the power-saving mode for a fixed time period that will decrease the power consumed by the node. |
2. Power-aware routing optimization protocol (PARO) [21] | New forwarding node–redirectors are added on the routing path to reduce the transmission power of the intermediate nodes along the original path. The objective of PARO to increase the path length to reduce the total transmission power. | |
3. Dynamic source routing power-aware (DSRPA) [22] | The routing metric battery freshness is considered in routing to achieve connectivity for the longest period of time. | |
4. Power-aware multi-access protocol with signaling ad hoc networks (PAMAS) [23] | The battery usage is controlled based on the frequency of a node’s activities. | |
Inference and load balancing—Interference is a major problem factor that affects the performance of wireless networks. Routing in a wireless network is challenging due to the unpredictable nature of the wireless medium and due to the effect of interference on wireless link properties. | 1. Source Routing for Roofnet (SrcRR) [24] | Expected transmission counts (ETX): is an interference-aware link-based routing metric that continuously measures the link loss rate in both directions between each node about its neighbors using periodic broadcasts. Link cost is estimated considering the number of retransmission attempts. |
2. Link quality source routing (LQSR) [25] | Weighted cumulative expected transmission time (WCETT). WCETT is the sum all links costs (ETT) along the path and bottleneck channel which has the maximum sum of ETT. | |
3. Load-balancing routing for mesh networks (LBRMN) [26, 27] | Metric of interference and channel-switching (MIC) and isotonic property. | |
4. Interference-aware load-balancing routing (IALBR) [28] | Routing metric load value: defined as the load at node itself and its next hop node load. | |
5. Load-balancing curveball routing (LBCR) [29] | Modified route metric based on greedy routing scheme. |
Comparison of various issues in routing protocols and solutions to handle the issues.
In this section, the categories of routing protocols are elaborated in detail manner and the overall performance of the routing protocols in ad hoc network are evaluated for each protocol under various routing categories by considering the following parameters such as route metrics, time complexity, computation complexity and route structure. One of the main features of routing protocols in ad hoc network is the routing metric, which is used to select the best route for forwarding packets. Time complexity (TC) is defined as the time required for the number of steps to perform a protocol operation, communication complexity (CC) is defined as the number of messages exchanged in performing a protocol operation and finally, route structure defines whether the structure and address scheme are flat or hierarchical. Figure 1 depicts the categories of ad hoc routing protocols.
Categories of ad hoc routing protocols.
In reactive routing protocols, a node initiates a route discovery, only when it wants to send packet to its destination. They do not maintain or constantly update their route tables with the latest route topology.
Therefore, the communication overhead is reduced but the delay is increased due the on-demand route establishment process.
Protocol | RS | Beacons | Route metrics | Route repository | Route reconfiguration strategy | CC | TC |
---|---|---|---|---|---|---|---|
DSR | F | No | Hop-count | RC | SN and new route | O(2n) | O(2d) |
AODV | F | Yes | Hop-count | RT | SN and new route | O(2n) | O(2d) |
TORA | F | No | Hop-count | RT | Link reversal and route repair | O(2n)—during route discovery O(2a)—during route maintenance | O(2d) |
ABR | F | Yes | Degree of association stability | RT | Local broad cast query | O(n + y)—during route discovery O(x + y)—during route maintenance | O(d + z)—during route discovery O(l + z)—during route maintenance |
SSBR | F | Yes | Strong signal strength | RT | SN and new route | O(n + y)—during route discovery O(x + y)—during route maintenance | O(d + z)—during route discovery O(l + z)—during route maintenance |
GoFF et al. | F | Yes | Signal strength | RT | New path discovery before route failure | O(2n) | O(2d) |
AQOR | F | Yes | Bandwidth | RT | Initiate from destination | O(2n) | O(2d) |
ARA | F | No | Hop-count | RT | Alternate route or back track until new route is identified | O(n + r)—during route discovery O(n + a)—during route maintenance | O(d + p) |
ROAM | F | No | Hop-count | RT | Erase route and start a new search to get new route | O(|e|)—during route discovery O(6Ga)—during route maintenance | O(d)—during route discovery O(x)—during route maintenance |
DAR | F | No | Weighted probabilities | Stochastic RT | New route by forward ant | O(2n) | O(2d) |
LSR | F | No | Relay sequence label | RT | SN and new route/local repair | O(2n) | O(2d) |
GRP | F | No | Hop-count | RC | Route backup | O(2n) | O(2d + 1) |
LDR | F | No | Hop-count | RT | SN and new route/local repair | O(2n) | O(2d) |
DBR2P | F | No | Hop-count | None | Local repair | O(2n) | O(2d) |
Beraldi et al. | F | Yes | Hint value | RC | Local broadcast query | O(2n) | O(2d) |
Comparative analysis of reactive routing protocols.
RS = routing structure; H = hierarchical; F = flat routing repository; RC = route cache; RT = route table; RM = route metric; SP = shortest path; CC = communication complexity; TC = time complexity; n = number of nodes in the network, d = diameter of the network, |e| = number of edges on the network, g = maximum degree of the router, z = diameter of the directed path where the REPLY packet transits, l = diameter of the affected network segment, y = total number of nodes forming the directed path where the Reply packet transmits, p = diameter of direct path of the reply, x = number of clusters.
In proactive routing, each node has one or more tables that contain the latest information of the routes to any node in the network.
Table 3 describes the comparative analysis of proactive routing protocols.
Protocol | RS | Routing tables | No. of tables | HM | Update frequency | Critical node | RM | CC | TC |
---|---|---|---|---|---|---|---|---|---|
DSDV | F | Yes | 2 | Yes | Periodic | No | Hop-count | O(n) | O(d) |
R-DSDV | F | Yes | 2 | Yes | Probalastic | NO | Hop-count | O(n) | O(d) |
OLSR | F | Yes | 3 | Yes | Periodic | No | Hop-count | O(n) | O(d) |
HOLSR | H | Yes | 3 | Yes | Periodic | Yes, cluster head | Hop-count | O(n) | O(d) |
CGSR | H | Yes | 2 | No | Periodic | Yes, cluster head | Hop-count | O(n) | O(d) |
QOLSR | H | Yes | 3 | Yes | Periodic | No | Delay, bandwidth, hop-count | O(n) | O(d) |
WRP | F | Yes | 4 | Yes | Periodic | No | Hop-count | O(n) | O(d) |
GSR | F | Yes | 3 | No | Periodic with neighbor | No | Hop-count | O(n) | O(d) |
STAR | H | Yes | 1 | No | Only at specific events | No | Hop-count | O(n) | O(d) |
Comparative analysis of proactive routing protocols.
RS = routing structure; H = hierarchical; F = flat; CC = communication complexity; TC = time complexity; n = number of nodes in the network; d = diameter of the network.
Hybrid routing protocols are designed with the route discovery mechanism and the table maintenance mechanism features of reactive and proactive respectively. Hybrid protocol is suitable for ad hoc network where large numbers of nodes are present. The protocols discussed in this section overcome the drawbacks of both proactive and reactive routing protocols such as latency and overhead problems in the network.
Protocol | RS | Multiple routes | Beacons | RM | Route repository | Route rebuilding | Critical node | CC | TC |
---|---|---|---|---|---|---|---|---|---|
ZRP | F | No | Yes | Through put, end-end delay, packet loss percentage | Intrazone and interzone RT | Route repair at failure point | Yes | Intra-O(ZN) Inter-O(N + V) | Intra-O(I) Inter-O(2D) |
FSR | F | No | No | Scope range | RT | SN | No | O(N) | O(D) |
LANMAR | H | No | Yes | Hop count | RT at landmark node | SN | Yes | O(N) | O(D) |
RDMAR | F | No | No | Hop count | RT | SN and new route | No | O(N) | O(D) |
SLURP | H | Yes | No | Power consumed | location Cache | SN | Yes | During route discovery Intra-O(2ZD) Inter-O(2D)b During route maintenance Intra-O(2N/M) Inter-O(2Y) | Intra-O(2 N/M) Inter-O(2Y) |
ZHLS | H | Yes | No | End-end delay, packet loss percentage | Intrazone and interzone RT | Location request sent | Yes | During route discovery Intra-O(N/M) Inter-O(N + V) During route maintenance Intra-O(N/M)a Inter-O(N + V) | Intra-O(I) Inter-O(D) |
DST | H | Yes | No | Power consumed, hop count | RT | Holding time or shuttling | Yes | Intra-O(ZN) Inter-O(N) | Intra-O(ZD) Inter-O(D) |
DDR | H | Yes | Yes | Stable routing | Intrazone and interzone RT | SN | Yes | Intra-O(ZN) Inter-O(N + V) | Intra-O(I) Inter-O(2D) |
HOPNET | H | No | No | Hop-count | Intrazone and interzone RT | Route repair at failure point | Yes | O(n) | O(D) |
LRHR | F | Yes | Yes | Edge weight | RC,RT | New route discovery | No | O(n) | O(D) |
FZRP | H | No | Yes | Hop-count | Intrazone and interzone RT | Route repair at failure point | Yes | O(n) | O(D) |
Comparative analysis of hybrid routing protocols.
Hierarchical routing protocols apply clustering techniques to build a hierarchy of nodes. Nodes are organized into groups called zones (or) clusters. Each cluster consists of one or more clusters and gateways. Hierarchical routing protocols are developed with an ability to address scalability issues in ad hoc network environment and to minimize excessive overhead. This on the other side increases the tediousness of the routing techniques used by these protocols.
Table 5 illustrates the comparative analysis of hierarchical routing protocols.
Protocol | Routing tables | No. of routing tables | Update frequency | Hello message | Critical node |
---|---|---|---|---|---|
HSR | Yes | 2 | Periodic, within each subset | Yes | Yes, cluster head |
CEDAR | Yes | 1 | On demand | No | Yes |
Eriksson et al. | Yes | 2 | Periodic | No | No |
H-LANMAR | Yes | 2 | Periodic | No | Yes |
Comparative analysis of hierarchical routing protocols.
The multipath routing protocols are designed with primary objectives to provide reliable communication and to ensure load balancing as well as to improve quality of service (QoS) of ad hoc environment. Multipath routing protocols address issues such as multiple paths discovery and maintaining these paths.
Protocol | Proactive/reactive | Loops | Route metrics | Route cache |
---|---|---|---|---|
CHAMP | Reactive | Yes | Shortest path | Yes |
AOMDV | Reactive | No | Advertised hop count | No |
SMR | Reactive | No | Least delay | No |
TMRP | Reactive | No | Auction winner | No |
SMORT | Reactive | No | Shortest path | Yes |
Ramasubramanian et al. | Proactive | No | Preferred neighbor | Route table |
Comparative analysis of multipath routing protocols.
In multicasting routing, the data are transmitted from one source to multiple destinations. Multicast protocols can be categorized into two types, namely tree-based multicast and mesh based multicast. The tree based multicast routing protocols utilize the network resource in efficient manner. Mesh based protocols are robust due to formation of many redundant paths between the nodes and in high packet delivery ratio.
Protocol | RS | Core/broadcast | Route metrics | Forwarding strategy | Route repository | Critical node |
---|---|---|---|---|---|---|
DCMP | F | Core | New route | Source routing | RT | No |
ADMR | H | Neither | Link breaks | Flooding/tree based | RT | Yes |
AMRoute | H | Core | Unicast operation | Shared tree | Based upon algorithm | Yes |
Li et al. | F | Neither | Minimum energy | Source routing | RC | No |
QMRPCAH | H | Broadcast | QoS | Bordercast | RT | Yes |
AQM | F | Core | QoS | Source routing | RT | No |
CBM | F | Core | Threat arrival | Limited broadcast | RC | Yes |
DDM | F | Neither | SP | Source routing | None | No |
EraMobile | F | Neither | Randomly selected | Local broadcast | None | Yes |
Comparative analysis of multicast routing protocols.
RS = routing structure; H = hierarchical; F = flat routing repository; RC = route cache; RT = route table.
The geographical information about a node is collected by another node by using GPS mechanism. Location-aware routing protocols are efficiently supports to improve the scalability of the ad hoc network.
Protocol | Forwarding mechanism | Loop | Route metric | Scalability | Robustness |
---|---|---|---|---|---|
LAR | Directional flooding | No | Hop count | No | No |
DREAM | Flooding | No | Hop count | No | No |
GPSR | Greedy flooding | Yes | SP | Yes | No |
Colargrosso et al. | Directional flooding | No | Hop count | No | No |
ALARM | Directional flooding | Yes | Hops and mobility | Yes | No |
REGR | Directional flooding | Yes | SP | Yes | No |
LAKER | Directional flooding | No | Hop count | No | No |
OGPR | Source routing | Yes | SP | Yes | Yes |
SOLAR | Greedy geographic forwarding | No | SP | No | No |
GLR | Source routing | Yes | SP | Yes | No |
MER | Greedy geographic forwarding | No | Maximum expectation | No | Yes |
Comparative analysis of location-aware routing protocols.
Route Metric SP = shortest path; LSP = local shortest path; WDG = weighted distance gain; CC = communication complexity; H = high; M = medium; L = low.
Geocast routing protocols have the combined features of both geographical and multicast routing protocols. The major advantage of Geocast routing protocols are performance improvement and minimizing the control overhead.
Protocol | RS | Core/broadcast | Route metrics | Forwarding strategy | Route repository | Critical node |
---|---|---|---|---|---|---|
DGR | H | Core | SP | Limited flooding | RC | Yes |
GAMER | F | Core | SP | Source routing | RC | No |
GeoGrid | H | Core | Hop count | Flooding or ticket based | None | No |
GeoTora | H | Broadcast | SP | Limited flooding | RT | Yes |
Geocast routing protocol comparison.
RS = routing structure; H = hierarchical; F = flat; SP = shortest path; RC = route cache; RT = route table.
In ad hoc network, performance and lifetime of the nodes depends upon the power consumed by them. Thus energy efficiency is an important and challenging issue in designing power-aware routing protocols.
Single performance metrics: optimizing the route with link cost metrics.
Multiple performance metrics: optimizing the route with link cost and link reliability.
This algorithm proves that the entropy constrained algorithms can improve the network lifetime.
Table 10 illustrates the comparative analysis of power aware routing protocol comparison.
Protocol | RT | Type | Path strategy | Routing metrics | Scalability | Robustness | Critical node |
---|---|---|---|---|---|---|---|
DEAR | Yes | Global | Single-path | Based upon ‘device type’ | No | Yes | No |
Scott and Bombos | No | Centralized | Single-path | Multiple constrained SP | Yes | No | No |
CLUSTERPOW | Yes | Clustered | Single-path | Total consumed power | Yes | Yes | Yes |
Mahmood and Comaniciu | No | Distributed | Single-path | Energy and interference | No | No | No |
MEHDSR | No | Global | Single-path | SP or next available link | Yes | No | No |
Karayiannis and Nadella | No | Distributed | Single-path | Link cost and link reliability | Yes | No | No |
Comparison of power aware routing protocols.
Routing metrics: SP = shortest path.
In this paper, a survey is performed on various routing algorithms including the traditional routing algorithms namely table-driven and source-initiated routing algorithms. Thus the ad hoc routing algorithm is divided into nine categories: (1) source-initiated (reactive or on-demand), (2) table-driven (proactive), (3) hybrid, (4) hierarchical, (5) multipath, (6) multicast, (7) location aware, (8) geographical multicast, (9) power-aware. Even though each protocol classes have different operational mechanism their all come under one roof by having common aim to minimize packet overhead, maximize throughput and minimize end-end delay. In this survey, the major routing issues faced by the routing protocols are discussed and effective study about the various categories of routing algorithm along with a comparative study is performed.
Global warming is one of the major challenges for mankind, with animal breeding one of the most affected sectors in the agricultural industry. The impacts of increasing environmental temperatures on livestock will most likely differ from place to place, depending on latitude, geographical features and local farming systems [1, 2, 3].
High ambient temperatures negatively affect all domestic animals, but in addition to pork and dairy production, perhaps the poultry industry is hit the hardest. In 2020, the world’s broiler meat production amounted to about 100.81 million metric tons, and is forecasted to increase to about 101.02 million metric tons by 2021 [4]. According to FAO data [5], total egg production in the world was 1.528 billion units in 2018. In 2019, this figure reached 1.577 billion.
These statistics clearly show that broiler meat and egg production play a crucial role in the global supply of animal origin foodstuffs.
Thus, we have a fundamental interest in reducing and/or eliminating the negative effects of climate change, i.e. prolonged high ambient temperature. The main question is, what tools do we have to reduce the harmful effects of high environmental temperatures-especially in the case of heat stress? A solution for prevention of heat stress in animals includes biological (e.g. genetics, thermal conditioning, nutrition) [6, 7] or keeping technology devices (e.g. air conditioning, intensive ventilation, humidification) [8]. However, housing methods are expensive and the service costs are high. Therefore, reducing the biochemical and physiological negative effects of heat stress with different nutritional tools is one of the primary interests for the economical production of food produced from animals.
According to Babinszky et al. [9], basically the following nutritional possibilities are available to eliminate the harmful effects of the heat stress:
reduce animal’s own heat production (e.g. feeding more dietary fat);
compensate for the lower nutrient supply; (e.g. feeding more concentrated diets); and
mitigate heat stress induced metabolic changes (e.g. using different feed additives: vitamins, micro minerals).
It should, however, be noted that during severe heat stress, these methods should be used in combination in order to maintain the production performance of the farm animals and the quality of their products [9]. While this chapter focuses on the third option, i.e. the use of feed additives, we would like to emphasize that whatever feeding method we use, we need to be aware of the changes in the intermediate metabolism of farm animals caused by heat stress, because without this knowledge, there is no effective defense against high ambient temperatures.
Therefore, the aim of this chapter is to summarize the adverse effects of heat stress on energy metabolism, anti- and pro-oxidant capacity, and production in birds. A further goal is to show how various feed additives (vitamin A, C and E, selenium, zinc, betaine, plant extract, and probiotics) can reduce the negative effects of heat stress.
The methodology of the literature review was basically the same as the internationally applied methodology used in animal science. Firstly relevant literature was searched. This follows by evaluation of sources. The third step was identifying the database and gaps in the published scientific findings, than setup the outline structure. Finally the literature review was written.
The literature searching was based on the keywords, using university database, own department data collection on the research field of heat stress, and different international scientific databases of life sciences, animal science and Google Scholar.
In each of the studied paper or book chapter, we asked the same questions as, for example:
What was the aim and methodology of the particular publication (in this case: what kind of heat stress was applied, how many animals were included in the experiment per treatment, whether there were repetitions, what dietary treatments (type of feed additives and their concentration in the diet) were used, what parameters were measured, what was the statistical analysis applied, etc.), furthermore, whether experimental data were correctly evaluated, what results were presented by the authors and what main conclusions were drawn from the data.
To have more clear information on effectiveness of various feed supplements in case of production parameters: daily gain (g/d), average daily gain (g/d) and feed conversion ratio (kg diet/kg gain), the so called mitigation capacity was calculated using the following formula:
where: HS = heat stress; TN = thermoneutral.
All collected information (data) was placed in a large work database. This information formed the basis of the subchapter titles of our review chapter and of the chapter outline. Based on this information, the evaluation of research data from more than 90 publications started. The writing of the review chapter then began, including the drawing of main conclusions as well. The investigated and systematized research findings are summarized in tables.
It is well known that heat production of animals is the sum total of non-productive energy utilized by the animal and of the energy lost in the course of transformation dietary nutrients [10]. Animals use this so called non-productive energy for maintenance (i.e. satisfy the energy requirement for the maintenance of body temperature, the functioning of the nervous system, the organs, for minimal activity, etc.) [10]. The extra heat produced in the course of digestion, excretion and metabolism of nutrients is called the heat increment. It is also well known that within a certain range of ambient temperature - with unvarying feed and nutrient intake - the total heat production of the animal remains constant. This temperature range is called the thermoneutral zone. The general scheme of the relationship between ambient temperature and heat production of livestock can be seen in Figure 1 [10].
Relationship between ambient temperature and heat production of livestock [
In a thermoneutral environment, the heat production of the animal is at the minimum, and thus the dietary energy can be used for production (growth, egg and milk production) efficiently [9, 10]. Therefore, whenever the daily amount of energy intake changes, the temperature range of the thermoneutral zone is changed, too. So, if for some reason the animal leaves the thermoneutral zone, this result in an increased heat production by the animal. This means that there is more loss of energy, and in consequence, less energy remains for production and moreover the efficiency of energy utilization deteriorates too. The upper and lower critical temperatures for poultry are summarized in Table 1 [11].
Lower | Upper | |
---|---|---|
Critical temperatures (°C) | ||
1-day-old chicken | 32 | 35 |
Finishing broiler | 16 | 26 |
1-day-old turkey | 35 | 38 |
Finishing turkey | 16 | 26 |
Laying hen | 16 | 27–29 |
Recommended thermal conditions for poultry [11].
The general scheme of the relationship between broiler behavior and the increasing ambient temperature is shown in Figure 2 [12].
The effect of increasing ambient temperature on birds [
As can be seen in Figure 2, in the thermoneutral zone, birds can lose heat at a controlled rate using normal behavior [12]. Between the lower and upper temperatures, there is no heat stress and body temperature remains constant. If the environmental temperature exceeds the upper critical temperature, birds must lose heat actively by panting. However, it should be noted that panting is a normal response to heat and is not initially considered a welfare problem [12]. However, as temperatures increase, the rate of panting increases. If heat production is greater than maximum heat loss, birds may die due to heat stress. In other words, heat stress occurs when the body cannot get rid of excess heat.
It is well established that heat stress increases the energy cost of maintenance and adversely affects productive and reproductive performance. In a hot environment, the respiration rate in birds can increase 10–20 times, causing increased CO2 loss through the lungs [13]. This loss results in an increase in blood pH and this can upset the acid–base balance, which can impair the health and performance of birds [14, 15, 16].
There are usually two types of heat stress, acute and chronic heat stress. Acute heat stress refers to a short and rapid increase in environmental temperature (a few hours), whereas under chronic heat stress, high temperatures persist for more extended periods (several days) [17].
Heat stress exposed animals can use different ways to maintain thermoregulation and homeostasis. They can increase radiant, convective and evaporative heat loss by vasodilatation and perspiration [18]. However, birds have an extra mechanism which is promote heat exchange between their bodies and the environment. These are the air sacs. Air sacs are very useful especially during panting, as they promote air circulation on surfaces and consequently, the evaporative loss of heat [19, 20].
Unfortunately, there are only few scientific papers that report on the heat production and the heat loss of heat-exposed birds. Consequently, there is only a limited number of scientific publications that report on nutritional possibilities for reducing the heat production of birds under heat stress.
Syafwan et al. [21] concluded in their excellent review that the heat production of broilers is particularly high due to the high growth rate and the high daily feed intake. Developments in the genetic selection of meat-type birds has led to rapid growth and a high metabolic rate, which is accompanied by a higher heat production level due to increased feed intake [22]. Therefore, it can be stated that high genetic capacity hybrid broilers (so called “improved chicken”) are much more sensitive to a hot environment than their unimproved counterparts.
Summarizing the relevant scientific findings, it can be stated that in practical animal agriculture, and especially in factory farming, it is particularly difficult to keep animals in a thermoneutral zone. Therefore, in order to reduce the negative effect of heat stress, it is important to use nutritional tools in addition to technical devices.
It is well known that if more fat is used in pig diets in high ambient temperature, the total heat production of the animals reduces significantly. Babinszky et al. [23] concluded from their study that lactating sows fed a high level of dietary fat (125 g fat/kg diet) produce significantly less heat than those fed a carbohydrate rich (low-fat level) diet. Babinszky [10] is also concluded, that the energetic efficiency of milk production was improved, when sows received high dietary fat diet (125 g/kg diet). This phenomenon can be explained by the fact that synthesizing milk fat from dietary fat is more efficient than it’s synthesizing from dietary carbohydrates.
In poultry nutrition, relative limited literature data are available on fat feeding against heat stress and its effect on heat production of birds. Das et al. [24], in an excellent review, stated that heat stress may be combated by adding fat and reducing crude protein in poultry diets. Higher energy diets were effective in partially mitigating the effects of heat stress in poultry. This can be explained by the fact that during metabolism, fat produces a lower heat increment than protein and carbohydrates [25].
In other studies, it was concluded that supplementation of fat in the poultry diet increase the nutrient utilization in the gastrointestinal tract by lowering the rate of food passage [26] and also helps increase the energy value of the other feed constituents [27, 28]. Feeding a high fat diet (up to 5%) to heat-exposed broilers reduces heat production. This result occurs because the heat increment of fat is lower than that of either proteins or carbohydrates [21, 25, 29, 30].
Because the animal body derives all its energy from oxidation, the magnitude of energy metabolism can be determined from the amount of carbon-dioxide produced and oxygen consumed. The ratio of the volumes of carbon dioxide produced to oxygen consumed is called the respiratory quotient (RQ) [31]. The respiratory quotients are: for protein: 0.809; for fat: 0.711; for starch: 1.000; for sugar: 1.000; and for glucose: 1.000, respectively [32]. If the RQ value is equal to 1.00, this means that e.g. burning 1 g of starch produces as much carbon dioxide as oxygen is needed to burn it (0.829 liter CO2/0.829 liter O2).
However, it should also be noted that RQ values significantly higher than 1 can be achieved if the animals convert the carbohydrate to fat, since in this case oxygen-poor fat is formed from oxygen-rich glucose. During starvation, the RQ value is less than 0.7 [31].
As it can be seen above, the RQ may provide valuable information about the metabolic processes in the body. Therefore, RQ values are very often determined in respiratory studies.
McKee et al. [33] investigated the effect of vitamin C on different variables of energy metabolism of young heat exposed chickens in indirect calorimeters. The experiment started at day 9 and lasted until day 17 posthatch. In this study, CO2 production and O2 consumption were measured in the thermoneutral zone (27.7°C) and in a hot environment (34°C). On the basis of these values, RQ and heat production were calculated daily through day 17 of the experiment. The basal diet was supplemented by a 150 mg/kg diet of ascorbic acid (vitamin C). They found that heat exposure lowered (P < 0.001) the respiratory quotient. Heat-exposed birds consuming the ascorbic acid supplemented diet expressed lower respiratory quotients than their unsupplemented counterparts. The authors concluded that this effect resulted from a nonsignificant increase in O2 consumption and decrease in CO2 production. They also concluded that further investigations are needed to determine whether the ascorbic acid-induced change in the RQ value towards 0.70 reflects an increase in protein or lipid catabolism or both. In further study, the effect of ascorbic acid on the energy metabolism and heat production of domestic animals should also be elucidated.
Despite the many open questions, based on the findings made by McKee et al. in their study, it seems that supplemental ascorbic acid may influence the body energy stores during periods of reduced energy intake (during heat stress).
Betaine chemical structure (C5H11NO2) contains three methyl groups which play a role in transmethylation reactions [34]. Betaine (trimethylglycine) is an intermediate metabolite in the catabolism of choline which can modify osmolarity, act as a methyl donor, and has potential lipotropic effects [9]. As a by-product of sugar beet processing, betaine is commercially available as a feed additive [35]. Currently, betaine is available in several purified forms (anhydrous, monophosphate and hydrochloride betaine) [36].
Betaine mainly functions as an osmolyte and a methyl-group donor [37]. Under heat stress, betaine plays an important role in cellular osmotic regulation, preventing dehydration by increasing the water-holding capacity of cells. It helps in maintaining the protective osmolytic activity in birds under heat stress. Betaine may promote various intestinal microbes against osmotic variations and this results in improve microbial fermentation activity [38]. Furthermore, betaine is also found to have anti-inflammatory properties and improves intestinal function [39].
Because betaine influences fat and protein deposition, it can also be used to improve carcass quality and reduce fatty livers. Schrama et al. [40] showed that energy retention in pigs improves over time following the supplementation of betaine to the diet. They also found that under thermoneutral conditions, dietary betaine supplementation (1.23g/kg diet) reduced the total heat production of pigs. They suggest the same concentration of betaine in poultry diet, as well.
These scientific findings suggest that betaine may be suitable for reducing heat production in livestock (e.g. in poultry) at high ambient temperatures. However, only few research results have been published in this area to date. Therefore, further studies are needed to determine the impact of betaine on heat production in animals under high ambient temperature.
Another problem is that many of published papers are not clear on the source of betaine used (natural, extracted betaine anhydrous or synthetic betaine hydrochloride). The source is important, as it is likely that the efficacies of the different betaine sources differ.
Increased environmental temperature caused increased lipid peroxidation (as well as induced formation of malondialdehyde (MDA), which is an indicator for lipid peroxidation). Therefore, the antioxidant defense system is altered [41, 42, 43].
According to the latest research, the elimination of the free radicals activates three level antioxidant systems (Figure 3, based on Babinszky et al. [10]).
Three level antioxidant system. Based on Babinszky et al. [
Elimination is done by the first level of the antioxidant system which functions at the same time as the detoxification and regeneration pathways of the second level. The third level starts working after damage has been done, to repair and eliminate damaged cells. This first level (direct enzymatic pathway) includes the neutralization of the oxygen and nitrogen centred free radicals by enzymes. The second level includes the detoxification and regeneration reactions of the small molecule antioxidants. The third level is activated when damaged systems (proteins, DNA) have to be repaired and/or removed from the cells by chaperones and DNA-repair enzymes.
In general, it can be concluded that a large amount of Reactive Oxygen Species (ROS) causes disruption of mitochondrial function, increased lipid peroxidation, and decreased the concentration of so called antioxidant vitamins, furthermore induce stress gene expression, and finally it leads to dysfunction in antioxidant enzymes and also causes DNA damage.
According to Yang et al. [44] in heat stressed broilers (35°C for 3h/day), the activity of the mitochondrial respiratory chain is reduced, which led to over-production of ROS. This situation results in lipid peroxidation and oxidative stress in the birds.
In another study [7] lipid peroxidation and superoxide dismutase (SOD) activity was measured in broilers under heat stress (32°C for 6 h/day). The results showed that high temperature disturbed the equilibrium between the synthesis and catabolism of ROS production. Glutathione peroxidase (GPx) and SOD activity increased and catalyze (CAT) activity decreased under heat stress (34°C 5 h/day from d28 to d38) [45].
ROS production reduced Vitamin A and E levels. Vitamin C concentration decreased under heat stress in poultry [46]. It has been reported that heat stress increased zinc (Zn) mobilization from tissues, and thus may cause marginal Zn deficiency and increase requirements [47]. According to Zeng et al. [48, 49], SOD, MDA, CAT activity and the total antioxidant capacity (T-AOC) in Muscovy duck liver increased under short term heat stress (39°C for 1 hour then 3-hour recovery at20°C). The same results were found in broilers [50]. During heat stress in broilers, the serum concentrations of Vitamin C, E, A, iron (Fe), and Zn decreased, while the copper (Cu) concentration increased [51].
High environmental temperature decreases the concentrations of vitamins and micro minerals in serum and increases excretion [52]; therefore, supplementation of direct or indirect antioxidant compounds (e.g. vitamins and micro nutrients) at higher levels is commonly recommended. These additives support mechanisms against lipid peroxidation, improve immune status and performance.
Vitamin E functions as a fat-soluble antioxidant which protects cellular and membrane lipids from peroxidation-catalyzed free radicals due to heat stress. In cell membranes and lipoproteins, the essential antioxidant function of Vitamin E is to trap ROO− and to break the chain reaction of lipid peroxidation. While it cannot prevent their formation, it can reduce the formation of secondary radicals [53]. Vitamin E is known as the first line of defense against lipid peroxidation caused by heat stress. It has free radical quenching activity and attacks free radicals in an early stage. When feed was supplemented with Vitamin E (200-250 mg/kg feed), the serum concentration of Vitamins E and A increased in serum and MDA concentration decreased under long term heat stress [51]. Maini et al. [54] reported that CAT, GR, GSH, MDA and SOD level decreased under heat stress due to Vitamin E supplementation. Short term heat stress increased the concentration of Zn in serum when the diet was supplemented with Vitamin E [55] (Table 2, [56]).
Author(s) | Spices | Duration of the study | Environmental temperature | Amount of vitamin supplementation | Effects on antioxidant status | |
---|---|---|---|---|---|---|
Kucuk et al. [57] | broiler | 1–42 day | 34°C (24 h/day) | Vitamin A: 15 000 IU/kg diet | ↓MDA | |
Mahmoud and Edens, [58] | broiler | 1–42 day | 30 °C (3.5 h/ for 3 days) | Vitamin C: 500 mg/kg diet | ↑plasma ascorbic acid concentration ↓Hsp70 expression | |
Sahin et al. [51] | Japanese quail | 10–40day | 34°C (24 h/day) | Vitamin E: 250 mg/kg diet | ↑Vitamin E, A concentration in serum ↓ MDA | |
Maini et al. [54] | broiler | 1–49 day | 38.6 ± 1.3 °C (24 h/day) | Vitamin E: 200 mg/kg diet | ↓CAT, GR, GSH, MDA, SOD | |
Harsini et al. [55] | broiler | 1–49 day | 37°C (8 h/day) | Vitamin E: 250 mg/kg diet | ↑Zn concentration in serum |
Effects of selected vitamin supplementation under heat stress based on different studies [56].
CAT = catalase concentration in blood; GR = glutathione reductase concentration in blood; GSH = reduced glutathione concentration in blood; MDA = malondialdehyde concentration in blood; SOD = superoxide dismutase concentration in blood; Zn = zinc.
↑ Increase; ↓ decrease.
Vitamin C protects against oxidative stress-induced cellular damage in the presence of scavenging ROS, and is capable itself of inhibiting lipid peroxidation in plasma. Ascorbic acid can directly scavenge radicals in the aqueous compartment. Ascorbate can scavenge O2−, H2O2, the OH, hypochlorous acid, aqueous ROO−, and singlet oxygen. Under its antioxidant activity, ascorbate has a two-electron reduction [53]. Although chickens are known to synthesize ascorbic acid in the kidney, increased supplementation has proved beneficial effects in broilers reared under heat stress [59]. Ascorbic acid is actively absorbed. This active transport is supported by the sodium electrochemical gradient. However, the vitamin C requirements increase under heat stress. According to different studies, ascorbic acid supplementation (200 mg/kg feed) caused a significant increase in plasma ascorbic acid levels [59, 60] in broilers under heat stress. This indicates that the higher Vitamin C concentrations in the broiler diet could be used against heat stress successfully.
Zn is a “member” of the antioxidant network because it is a cofactor of a very important antioxidant enzyme: Cu/Zn-SOD. Zinc plays a role in depressing the free radicals and inhibiting lipid peroxidation and GSH depletion. Zn can have direct antioxidant function and it is necessary for the prevention of free radical formation. However, it does not act directly against them [53]. Zinc supplementation has positive effects on antioxidant status of birds [61, 62, 63]. Zinc may play an important role in suppressing free radicals because it works as a cofactor (Cu/Zn-SOD) and inhibits NADPH-dependent lipid peroxidation [64], thus improving antioxidant status: increased serum Vitamin C and E concentrations [65] and decreased MDA levels [57, 66] (Table 3, [56]).
Author(s) | Spices | Duration of the study | Environmental temperature | Amount of supplementation (mg/kg diet) | Other effects |
---|---|---|---|---|---|
Sahin et al. [65] | Japanese quail | 10–42 day | 34°C (8 h/day) | Zn:30 or 60 mg/kg diet | ↑Vitamin C concentration in serum ↓ MDA |
Kucuk et al. [57] | broiler | 1–42 day | 34°C (24 h/day) | Zn: 30 mg/kg diet | ↓MDA |
Kucuk, [66] | Japanese quail | 10–40day | 35°C (8 h/day) | Zn: 30 mg/kg diet | ↓ MDA |
Harsini et al. [55] | broiler | 1–49 day | 37°C (8 h/day) | Se: 1 mg/kg diet | ᴓZn concentration ↑GPx |
Mahmound and Edens, [58] | broiler | 1–28 day | 33°C (24 h/day for 4 weeks) | Se: 0.46 ppm/ kg diet | ↑GSH, GSSG, GPx, GPx/GR ratio |
Sahin et al. [51] | Japanese quail | 10–40 day | 34°C (24 h/day) | Se: 0.1 / 0.2 mg/kg diet | ↑serum Vitamin E, A, Zn ↓ MDA |
Effects of micro mineral supplementation under heat stress based on different studies [56].
GPx = glutathione peroxidase concentration in blood; GR = glutathione reductase concentration in blood; GSH = reduced glutathione concentration in blood; GSSG = glutathione disulphide concentration in blood; GPx = glutathione peroxidase concentration in blood; MDA = malondialdehyde concentration in blood; Se = selenium; Zn = zinc.
↑ Increase; ↓ decrease; ᴓ no effect.
Organoselenium compounds are essential micronutrients and are required for cellular defense against oxidative stress and optimal immune function. Selenium is necessary for cellular function and is a component of antioxidant enzymes: an important part (cofactor) of GPx, which works as an important antioxidant enzyme, protecting cells against free radical damage and oxidative stress [53]. Selenium supplementation improved antioxidant status in poultry under heat stress [51, 55, 58]. It is suggested that the metabolic role of Se is to protect cells against oxidation and tissue damage. Rapid oxidation of GSH to GSSH is necessary to compensate the heat stress caused ROS production. However, Se supplementation increases the level of available NADPH to promote the activation of GR, leading to increased GSSH reduction to GSH [67]. Therefore, Se supplementation affected GPx activity and the GPx/GSH ratio (Table 3).
Results of studies done with separated supplementation of Vitamin A (9000–15000 IU/kg diet), Vitamin E (150–500 mg/kg diet), Vitamin C (150–500 mg/kg diet), Zn (30 or 60 mg/kg diet) and Se (0,1-1 mg/kg diet), show that antioxidant status improved in poultry under heat stress. Antioxidant potential has been reported to be more efficient and important in combination than single antioxidant nutrients [68]. The latest research studies show that interactions between vitamin-vitamin and vitamin-minerals used in combination have more improved effects on the antioxidant status and performance of poultry under heat stress than they do separately. Literature data on combinations of vitamin and mineral supplementation can be seen in Table 4 [56].
Supplementation | Author(s) | Spices | Duration of the study | Environmental temperature | Amount of supplementation | Other effects |
---|---|---|---|---|---|---|
Vitamin C + Zn | Naila et al. 2014 | broiler | 22-42d | 40 °C (12 h/day) | 300 mg Vit. C + 60 mg Zn | ↓mortality |
Vitamin A+ Zn | Kucuk et al. [57] | broiler | 1-42d | 34°C (24 h/day) | 15 000 IU Vit A + 30 mg | ↓MDA |
Vitamin E+ Se | Harsini et al. [55] | broiler | 1-49d | 37°C (8 h/day) | 0.5 mg Se + 152 mg Vit.E | ↓MDA ↑SOD |
Effects of vitamin and mineral interactions under heat stress based on different studies [56].
MDA = malondialdehyde concentration in blood; SOD = superoxide dismutase concentration in blood, Se = selenium, Zn = zinc.
↑ Increase; ↓ decrease.
Dried oregano powder (0.5% and 1%) can be supplemented for ducks. Oregano (
Probiotics are non-digestive alternative growth promoters used in poultry nutrition. Probiotics can improve animal performance, and it can manipulate and maintain beneficial microflora in the gut. Several studies prove that probiotics supplementation to feed improves production parameters in poultry [70, 71]. Supplementation of probiotics (
After reviewing the relevant research, we identified three different types of heat stress (HS) that have been applied in experiments: acute, cyclic and chronic. In the case of acute HS, the elevated temperature lasts from several hours up to 24 hours. After exposure to HS, sample and data collection occurs. This type of arrangement is suitable to study the immediate effect of heat stress. However, in temperate countries, even in the case of cooled stables, the actual barn temperature shows a daily cycle which can be mimicked by the cyclic HS environment (4–10 hours per day in the range of three days per week to daily up to 10 days long). In tropical countries, this kind of fluctuation is much less pronounced. Therefore, the environmental conditions can be best modeled with a chronic HS (continuous HS environment usually during the second half of fattening) model [74].
The most often claimed effect of heat stress is a reduction of feed intake. As an immediate effect, acute heat stress reduces feed intake by about 25% (Table 5).
Thermo- neutral temperature, °C | Heat stress temperature, °C | HS period, day of life | HS type | Feed intake, g/day | Average daily gain, g/day | Feed conversion ratio, kg/kg | Source | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Treatment | Change to TN %c | Treatment | Change to TN %c | Treatment | Change to TN %c | ||||||||
TNa | HSb | TN | HS | TN | HS | ||||||||
18–19 | 38 | 20,41 | acuted | 115.2 ± 32.1 | 79.5 ± 16.2 | −26.5 ± 24.7 | 78.5 ± 13.0 | −1.3 ± 45.7 | −102.9 ± 55.4 | [75, 76] | |||
20–28 | 31–36.2 | 15–49 | cyclice | 125.8 ± 44.8 | 114.7 ± 33.6 | −7.2 ± 9.0 | 69.4 ± 17.9 | 57.8 ± 13.7 | −15.4 ± 12.8 | 1.95 ± 0.32 | 2.15 ± 0.54 | 9.1 ± 14.26 | [77, 78, 79, 80, 81, 82, 83, 84] |
20–26 | 27.8–35 | 1–42 | chronicf | 132.8 ± 42.0 | 112.7 ± 33.5 | −14.4 ± 10.0 | 70.5 ± 14.2 | 51.5 ± 11.5 | −26.3 ± 14.0 | 1.85 ± 0.27 | 2.17 ± 0.33 | 18.1 ± 10.2 | [81, 85, 86, 87, 88, 89, 90, 91] |
Effect of heat stress on the growth performance of broilers (means ± s.d.).
Thermoneutral environment.
Heat stress environment.
(TN-HS)/TN*100, average values of the calculations from the research cited.
HS environment from several hours to 24 hours.
HS environment 4–10 hours per day in the range of three days per week to daily up to 10 days.
Continuous HS environment (24 hours/day) usually during the second half of the fattening.
Applying the heat stress repeatedly but allowing regeneration at thermoneutral (TN) temperature (cyclic HS-simulating the day-night temperature fluctuation) results in an adaptation, as during this period the lowest decline (in between 5 and 15%) in performance data (feed intake, daily gain and feed conversion ratio) can be observed (Table 5). Chronic heat stress will approximately double the negative effect compared to cyclic heat stress (7–11% point), but still some adaptation can be seen compared to acute heat stress. Acute HS has a dramatic effect on daily gain, as even negative values (weight loss) can occur, which makes it impracticable to calculate the feed conversion ratio. Therefore, researchers did not publish such data. The nutrient content of the unconsumed feed itself does not justify the negative energy balance; therefore, one can assume that the energy and nutrient needs of the HS response are high. When adaptation can occur; cyclic HS has a less adverse effect than chronic HS on both daily gain and the feed conversion ratio (Table 5).
One long term aim of researchers is to be able to mitigate the negative effects of heat stress. Supplementation of effective feed additives could be useful for improving intestinal absorption and minimizing the adverse effects of HS [92]. To have more clear information on effectiveness of various feed supplements Ortega and Szabó [93] suggested the calculation of mitigation capacity (see subsection 2 in the present chapter). However, researchers [93] also point out that contrary to the numerous publications in the field, only a limited number of studies are suitable for using this calculation, as it requires at least three treatment groups. HS effect mitigating supplements are usually vitamins expressing antioxidant capacity, probiotics and plant extracts (Tables 6–8).
TNta, °C | HStb, °C | HS period, days of life | HS type | Dietary treatment | Treatment type | Concentration of feed additives in the diet | Feed intake, g/day | Source | |||
---|---|---|---|---|---|---|---|---|---|---|---|
TNc | HSd | HS + treatmente | Mitigationf % | ||||||||
22 | 32 | 1–42 | chronicg | betaine + vit E | combinedl | 1.2 g/kg + 500 mg/kg | 111.1 | 78.5 | 83.3 | 14.7 | [85] |
22 | 32 | 1–42 | chronic | Cr + vit C | combined | 1.2 mg/kg + 500 mg/kg | 111.1 | 78.5 | 83.1 | 14.1 | [85] |
22 | 32 | 1–42 | chronic | cumin + tumeric | combined | 1% + 1% | 111.1 | 78.5 | 87.9 | 28.8 | [85] |
22 | 32 | 1–42 | chronic | KCl + Na bicarbonate | combined | 1.5 + 2 g/kg | 111.1 | 78.5 | 83.1 | 14.1 | [85] |
22 | 32 | 1–42 | chronic | propolis + vit A | combined | 1 g/kg +15000 IU/kg | 111.1 | 78.5 | 84.3 | 17.8 | [85] |
26 | 35 | 26–42 | chronic | MOS + probiotic i | combined | 0.5% + 0.1% | 76.5 | 64.0 | 62.4 | −12.8 | [87] |
32 | 22–42 | chronic | fumaric acid | singlem | 5 g/kg | 160.7 | 142.4 | 143.4 | 5.7 | [86] | |
23 | 32 | 22–42 | chronic | fumaric acid | single | 10 g/kg | 160.7 | 142.4 | 138.7 | −20.0 | [86] |
23 | 32 | 22–42 | chronic | fumaric acid | single | 15 g/kg | 160.7 | 142.4 | 148.6 | 33.8 | [86] |
26 | 35 | 26–42 | chronic | MOS | single | 0.5% | 76.5 | 64.0 | 63.3 | −5.6 | [87] |
24 | 35 | 15–35 | chronic | probiotic j | single | 0.1% | 86.1 | 82.0 | 85.6 | 87.8 | [88] |
26 | 35 | 26–42 | chronic | probiotic i | single | 0.1% | 76.5 | 64.0 | 65.9 | 15.2 | [87] |
25 | 36 | 25–42 | cyclich | vit E + vit C | combined | 100 mg/kg + 200 mg/kg | 78.2 | 73.6 | 74.6 | 21.7 | [78] |
25 | 36 | 25–42 | cyclic | vit E + vit C+ probiotic k | combined | 100 mg/kg +200 mg/kg + 2 g/kg | 78.2 | 73.6 | 74.4 | 17.4 | [78] |
25 | 36 | 25–42 | cyclic | probiotic | single | 2 g/kg | 78.2 | 73.6 | 73.5 | −2.2 | [78] |
25 | 36 | 25–42 | cyclic | vit C | single | 200 mg/kg | 78.2 | 73.6 | 74.8 | 26.1 | [78] |
25 | 36 | 25–42 | cyclic | vit E | single | 100 mg/kg | 78.2 | 73.6 | 73.5 | −2.2 | [78] |
24 | 34 | 15–35 | cyclic | vit E | single | 150 mg/kg | 99.5 | 91.9 | 89.2 | −35.2 | [79] |
24 | 34 | 15–35 | cyclic | vit E | single | 150 mg/kg | 104.1 | 87.1 | 89.3 | 13.0 | [79] |
chronic | combined | Average ± sd | |||||||||
chronic | single | Average ± sd | |||||||||
chronic | overalln | Average ± sd | 16.1 ± 27.6 | ||||||||
cyclic | combined | Average ± sd | |||||||||
cyclic | single | Average ± sd | |||||||||
cyclic | overall | Average ± sd | 5.5 ± 21.1 |
Mitigation capacity of various feed additives on HS in broilers’ growth performance (daily feed intake, g/day).
Thermoneutral temperature.
Heat stress temperature.
Thermoneutral environment, control feed.
Heat stress environment, control feed.
Heat stress environment and specialty feed supplement fortified diet.
% mitigation = (HS treatment - HS control)/(TN control – HS control) x 100.
HS environment 4–10 hours per day in the range of three days per week to daily up to 10 days.
Continuous HS environment (24 hours/day) usually during the second half of the fattening.
Combination of two or more feed additives are used.
Only one feed additive used.
HS type averages regardless of single or combined supplementation.
TNta, °C | HStb, °C | HS period, days of life | HS type | Dietary treatment | Treatment type | Concentration of feed additives in the diet | Average daily gain, g/day | Source | |||
---|---|---|---|---|---|---|---|---|---|---|---|
TNc | HSd | HS + treatmente | Mitigationf % | ||||||||
22 | 32 | 1–42 | chronicg | betaine + vit E | combinedl | 1.2 g/kg + 500 mg/kg | 62.0 | 33.9 | 42.0 | 28.8 | [85] |
22 | 32 | 1–42 | chronic | Cr + vit C | combined | 1.2 mg/kg + 500 mg/kg | 62.0 | 33.9 | 41.6 | 27.4 | [85] |
22 | 32 | 1–42 | chronic | cumin+tumeric | combined | 1% + 1% | 62.0 | 33.9 | 41.0 | 25.3 | [85] |
22 | 32 | 1–42 | chronic | KCl + Na bicarbonate | combined | 1.5 g/kg +2 g/kg | 62.0 | 33.9 | 40.9 | 24.9 | [85] |
22 | 32 | 1–42 | chronic | propolis + vit A | combined | 1 g/kg +15000 IU/kg | 62.0 | 33.9 | 41.1 | 25.6 | [85] |
26 | 35 | 26–42 | chronic | MOS + probiotic i | combined | 0,5% + 0,1% | 57.4 | 38.7 | 41.5 | 15.0 | [87] |
23 | 32 | 22–42 | chronic | fumaric acid | singlem | 5 g/kg | 83.3 | 61.4 | 68.6 | 32.6 | [86] |
23 | 32 | 22–42 | chronic | fumaric acid | single | 10 g/kg | 86.3 | 61.4 | 69.1 | 30.6 | [86] |
23 | 32 | 22–42 | chronic | fumaric acid | single | 15 g/kg | 83.3 | 61.4 | 76.2 | 67.5 | [86] |
26 | 35 | 26–42 | chronic | MOS | single | 0,50% | 57.4 | 38.7 | 45.4 | 35.8 | [87] |
24 | 35 | 15–35 | chronic | probiotic j | single | 0,10% | 53.8 | 43.3 | 48.0 | 44.8 | [88] |
26 | 35 | 26–42 | chronic | probiotic i | single | 0,10% | 57.4 | 38.7 | 41.1 | 12.8 | [87] |
25 | 36 | 25–42 | cyclich | vit E + vit C | combined | 100 mg/kg + 200 mg/kg | 43.6 | 38.6 | 41.2 | 52.0 | [78] |
25 | 36 | 25–42 | cyclic | vit E + vit C + probiotic g | combined | 100 mg/kg +200 mg/kg + 2 g/kg | 43.6 | 38.6 | 42.7 | 82.0 | [78] |
25 | 36 | 25–42 | cyclic | probiotic k | single | 2 g/kg | 43.6 | 38.6 | 41.3 | 54.0 | [78] |
25 | 36 | 25–42 | cyclic | vit C | single | 200 mg/kg | 43.6 | 38.6 | 40.1 | 30.0 | [78] |
25 | 36 | 25–42 | cyclic | vit E | single | 100 mg/kg | 43.6 | 38.6 | 39.8 | 24.0 | [78] |
24 | 34 | 15–35 | cyclic | vit E | single | 150 mg/kg | 55.7 | 46.4 | 48.5 | 23.1 | [79] |
24 | 34 | 15–35 | cyclic | vit E | single | 150 mg/kg | 54.0 | 48.7 | 48.4 | −4.7 | [79] |
chronic | combined | Average ± sd | |||||||||
chronic | single | Average ± sd | |||||||||
chronic | overalln | Average ± sd | 30.9 ± 14.3 | ||||||||
cyclic | combined | Average ± sd | |||||||||
cyclic | single | Average ± sd | |||||||||
cyclic | overall | Average ± sd | 37.2 ± 27.9 |
Mitigation capacity of various feed additives on HS in broilers’ growth performance (average daily gain, g/day).
Thermoneutral temperature.
Heat stress temperature.
Thermoneutral environment, control feed.
Heat stress environment, control feed.
Heat stress environment and specialty feed supplement fortified diet.
% mitigation = (HS treatment - HS control)/(TN control – HS control) x 100.
HS environment 4–10 hours per day in the range of three days per week to daily up to 10 days.
Continuous HS environment (24 hours/day) usually during the second half of the fattening.
Combination of two or more feed additives are used.
Only one feed additive used.
HS type averages regardless of single or combined supplementation.
TNta, °C | HStb, °C | HS period, days of life | HS type | Dietary treatment | Treatment type | Concentration of feed additives in the diet | Feed conversion ratio, kg/kg | Source | |||
---|---|---|---|---|---|---|---|---|---|---|---|
TNc | HSd | HS + treatmente | Mitigationf% | ||||||||
22 | 32 | 1–42 | chronicg | betaine + vit E | combinedl | 1.2 g/kg + 500 mg/kg | 1.8 | 2.3 | 2.0 | 64.2 | [85] |
22 | 32 | 1–42 | chronic | Cr + vit C | combined | 1.2 mg/kg + 500 mg/kg | 1.8 | 2.3 | 2.0 | 62.3 | [85] |
22 | 32 | 1–42 | chronic | cumin + tumeric | combined | 1% + 1% | 1.8 | 2.3 | 2.1 | 34.0 | [85] |
22 | 32 | 1–42 | chronic | KCl + Na bicarbonate | combined | 1.5 g/kg + 2 g/kg | 1.8 | 2.3 | 2.0 | 54.7 | [85] |
22 | 32 | 1–42 | chronic | propolis + vit A | combined | 1 g/kg + 15000 IU/kg | 1.8 | 2.3 | 2.0 | 52.8 | [85] |
26 | 35 | 26–42 | chronic | MOS + probiotic i | combined | 0.5% + 0.1% | 1.3 | 1.7 | 1.5 | 50.0 | [87] |
23 | 32 | 22–42 | chronic | fumaric acid | singlem | 5 g/kg | 1.9 | 2.3 | 2.1 | 59.0 | [86] |
23 | 32 | 22–42 | chronic | fumaric acid | single | 10 g/kg | 1.9 | 2.3 | 2.0 | 82.1 | [86] |
23 | 32 | 22–42 | chronic | fumaric acid | single | 15 g/kg | 1.9 | 2.3 | 2.0 | 94.9 | [86] |
26 | 35 | 26–42 | chronic | MOS | single | 0.5% | 1.3 | 1.7 | 1.4 | 82.4 | [87] |
24 | 35 | 15–35 | chronic | probiotic j | single | 0.1% | 1.6 | 1.9 | 1.8 | 34.5 | [88] |
26 | 35 | 26–42 | chronic | probiotic i | single | 0.1% | 1.3 | 1.7 | 1.6 | 20.6 | [87] |
25 | 36 | 25–42 | cyclich | vit E + vit C | combined | 100 mg/kg + 200 mg/kg | 1.8 | 1.9 | 1.8 | 81.8 | [78] |
25 | 36 | 25–42 | cyclic | vit E + vit C+ probiotick | combined | 100 mg/kg +200 mg/kg + 2 g/kg | 1.8 | 1.9 | 1.7 | 145.5 | [78] |
25 | 36 | 25–42 | cyclic | probiotic | single | 2 g/kg | 1.8 | 1.9 | 1.8 | 109.1 | [78] |
25 | 36 | 25–42 | cyclic | vit C | single | 200 mg/kg | 1.8 | 1.9 | 1.9 | 27.3 | [78] |
25 | 36 | 25–42 | cyclic | vit E | single | 100 mg/kg | 1.8 | 1.9 | 1.9 | 45.5 | [78] |
24 | 34 | 15–35 | cyclic | vit E | single | 150 mg/kg | 1.8 | 2.0 | 1.8 | 73.5 | [79] |
24 | 34 | 15–35 | cyclic | vit E | single | 150 mg/kg | 1.9 | 1.8 | 1.8 | 40.1 | [79] |
chronic | combined | Average ± sd | |||||||||
chronic | single | Average ± sd | |||||||||
chronic | overalln | Average ± sd | 57.6 ± 21.8 | ||||||||
cyclic | combined | Average ± sd | |||||||||
cyclic | single | Average ± sd | |||||||||
cyclic | overall | Average ± sd | 74.7 ± 41.9 |
Mitigation capacity of various feed additives on HS in broilers’ growth performance (feed conversion ratio, kg/kg).
Thermoneutral temperature.
Heat stress temperature.
Thermoneutral environment, control feed.
Heat stress environment, control feed.
Heat stress environment and specialty feed supplement fortified diet.
% mitigation = (HS treatment - HS control)/(TN control – HS control) x 100.
HS environment 4–10 hours per day in the range of three days per week to daily up to 10 days.
Continuous HS environment (24 hours/day) usually during the second half of the fattening.
Combination of two or more feed additives are used.
Only one feed additive used.
HS type averages regardless of single or combined supplementation.
It can be seen that - overall - the most difficult parameter to improve is that of feed intake (Table 7), as the feed additives studied have quite variable mitigation capacities. The overall mitigation percentage is only about 5–15%.Bettervalueswere obtained in the case of chronic heat stress compared to cyclic heat stress, but different feed additives were used. The highest improvement (above 85%) was achieved with a probiotic [88]. However, other probiotics were much less effective.
The adversely affected daily gain can be improved by about 30–35%, and the feed conversion ratio increased up to 60–70%. Observing the mitigation capacity of different feed additives in this regard, it seems that probiotics and vitamins can be the most effective mitigators, especially when they are applied in combination [84]. However, further research is needed to determine the most effective microbe combination(s), and the most effective levels of vitamins, as well as their interactive effects. Only one study reported results with fumaric acid supplementation which also seems promising, but more research is still needed [86]. Quite a few authors have tested the feed supplements in combination, which is in line with feed industry trends. Therefore, we calculated the average % mitigation value for combined and single applications. Data shows that combined applications are more effective in cyclic heat stress conditions, while that benefit cannot be observed in chronic heat stress.
Based on the scientific findings presented in this chapter, the following important conclusions can be drawn:
Using fat in the diet (up to 5%) can reduce heat production in livestock.
Vitamins (e.g. A, E and C) are capable of reacting with free radicals, thereby reducing their amounts and lipid peroxidation in the poultry. However, micro minerals (e.g. Zn, Se) are not directly capable of preventing or reducing ROS-formation, but they are essential cofactors for those enzymes which are reacting with free radicals.
Vitamin E and Vitamin C supplementation improved antioxidant parameters (CAT, GR, GSH, MDA, SOD) due to their essential antioxidant function. Both Zn and Se are also improving antioxidant parameters (GR, GSH, GPx, and MDA).
Antioxidant potential of vitamins and micro minerals is more efficient in combination under heat stress in poultry nutrition.
Plant extracts (e.g. oregano) could decrease the negative effects of heat stress on antioxidant enzyme activity due its antioxidant constituents.
Betaine reduces heat production in animals at high ambient temperatures.
Acute heat stress induced a drop in feed intake and increased nutrient demand will result even in weight loss. However, if heat stress is prolonged, adaptation will occur.
Probiotics and vitamins (C and E) seem to be the most effective means of reducing the negative effects of heat stress.
Main conclusion for the practice: Different feed additives and supplementation strategies (single vs. combined) can be more effective in temperate and tropical countries. Therefore, in order to decide which feed additive to use and in what form (single or combined) the most effectively, it is recommended that farmers carry out a pre-study in the given climatic and feeding conditions.
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Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. 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Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. 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Fungal infectious illness prevalence and prognosis are determined by the exposure between fungi and host, host immunological state, fungal virulence, and early and accurate diagnosis and treatment. \r\nPatients with both congenital and acquired immunodeficiency are more likely to be infected with opportunistic mycosis. Fungal infectious disease outbreaks are common during the post- disaster rebuilding era, which is characterised by high population density, migration, and poor health and medical conditions.\r\nSystemic or local fungal infection is mainly associated with the fungi directly inhaled or inoculated in the environment during the disaster. The most common fungal infection pathways are human to human (anthropophilic), animal to human (zoophilic), and environment to human (soilophile). Diseases are common as a result of widespread exposure to pathogenic fungus dispersed into the environment. \r\nFungi that are both common and emerging are intertwined. 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At the same time, they are faced with the Covid-19 pandemic leading to what some authors have called potential syndemics that might worsen the outcome of such infections. Therefore, it is important to conduct studies that examine parasitic infections in the context of the coronavirus pandemic for the benefit of all communities to help foster more informed decisions for the betterment of human and animal health.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",keywords:"Blood Borne Parasites, Intestinal Parasites, Protozoa, Helminths, Arthropods, Water Born Parasites, Epidemiology, Molecular Biology, Systematics, Genomics, Proteomics, Ecology"},{id:"6",title:"Viral Infectious Diseases",scope:"The Viral Infectious Diseases Book Series aims to provide a comprehensive overview of recent research trends and discoveries in various viral infectious diseases emerging around the globe. The emergence of any viral disease is hard to anticipate, which often contributes to death. 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Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. 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Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. 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We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. 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