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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Simple Summary

This review attempts to provide information on the various impacts of heat stress on the production and welfare variables of goats. Goats are predominantly distributed in tropical regions, and hence they are considered a species readily able to survive and produce in these demanding environments. However, the production of goats can be compromised to a degree to survive in harsh environments. Hence, having an in-depth understanding of the various impacts of heat stress on goat production and adaptation may yield important biomarkers to assess welfare in goats. Such efforts may help in the future to breed goats, which could survive and produce optimally under harsh conditions.

Abstract

This review attempted to collate and synthesize information on goat welfare and production constraints during heat stress exposure. Among the farm animals, goats arguably are considered the best-suited animals to survive in tropical climates. Heat stress was found to negatively influence growth, milk and meat production and compromised the immune response, thereby significantly reducing goats’ welfare under extensive conditions and transportation. Although considered extremely adapted to tropical climates, their production can be compromised to cope with heat stress. Therefore, information on goat adaptation and production performance during heat exposure could help assess their welfare. Such information would be valuable as the farming communities are often struggling in their efforts to assess animal welfare, especially in tropical regions. Broadly three aspects must be considered to ensure appropriate welfare in goats, and these include (i) housing and environment; (ii) breeding and genetics and (iii) handling and transport. Apart from these, there are a few other negative welfare factors in goat rearing, which differ across the production system being followed. Such negative practices are predominant in extensive systems and include nutritional stress, limited supply of good quality water, climatic extremes, parasitic infestation and lameness, culminating in low production, reproduction and high mortality rates. Broadly two types of methodologies are available to assess welfare in goats in these systems: (i) animal-based measures include behavioral measurements, health and production records and disease symptoms; (ii) resources based and management-based measures include stocking density, manpower, housing conditions and health plans. Goat welfare could be assessed based on several indicators covering behavioral, physical, physiological and productive responses. The important indicators of goat welfare include agonistic behavior, vocalization, skin temperature, body condition score (BCS), hair coat conditions, rectal temperature, respiration rate, heart rate, sweating, reduced growth, reduced milk production and reduced reproductive efficiency. There are also different approaches available by which the welfare of goats could be assessed, such as naturalistic, functional and subjective approaches. Thus, assessing welfare in goats at every production stage is a prerequisite for ensuring appropriate production in this all-important species to guarantee optimum returns to the marginal and subsistence farmers.

Details

Title
Heat Stress and Goat Welfare: Adaptation and Production Considerations
Author
Sejian, Veerasamy 1   VIAFID ORCID Logo  ; Silpa, Mullakkalparambil V 2 ; Reshma Nair, Mini R 3 ; Devaraj, Chinnasamy 1   VIAFID ORCID Logo  ; Krishnan, Govindan 1 ; Bagath, Madiajagan 1   VIAFID ORCID Logo  ; Chauhan, Surinder S 4   VIAFID ORCID Logo  ; Suganthi, Rajendran U 1 ; Fonseca, Vinicius F C 5 ; König, Sven 6 ; Gaughan, John B 7   VIAFID ORCID Logo  ; Dunshea, Frank R 8   VIAFID ORCID Logo  ; Bhatta, Raghavendra 1 

 Centre for Climate Resilient Animal Adaptation Studies, ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Hosur Road, Bangalore 560030, India; [email protected] (M.V.S.); [email protected] (M.R.R.N.); [email protected] (C.D.); [email protected] (G.K.); [email protected] (M.B.); [email protected] (R.U.S.); [email protected] (R.B.) 
 Centre for Climate Resilient Animal Adaptation Studies, ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Hosur Road, Bangalore 560030, India; [email protected] (M.V.S.); [email protected] (M.R.R.N.); [email protected] (C.D.); [email protected] (G.K.); [email protected] (M.B.); [email protected] (R.U.S.); [email protected] (R.B.); Institute of Animal Breeding and Genetics, Justus-Liebig-Universität Gießen, 35390 Gießen, Germany; [email protected] 
 Centre for Climate Resilient Animal Adaptation Studies, ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Hosur Road, Bangalore 560030, India; [email protected] (M.V.S.); [email protected] (M.R.R.N.); [email protected] (C.D.); [email protected] (G.K.); [email protected] (M.B.); [email protected] (R.U.S.); [email protected] (R.B.); Academy of Climate Change Education and Research, Kerala Agricultural University, Vellanikkara 680656, India 
 School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010, Australia; [email protected] (S.S.C.); [email protected] (F.R.D.) 
 Innovation Group of Biometeorology and Animal Welfare, Animal Science Department, Universidade Federal da Paraíba, Areia 58397-000, Brazil; [email protected]; Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Parktown 2193, South Africa 
 Institute of Animal Breeding and Genetics, Justus-Liebig-Universität Gießen, 35390 Gießen, Germany; [email protected] 
 School of Agriculture and Food Sciences, The University of Queensland, Gatton, QLD 4343, Australia; [email protected] 
 School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010, Australia; [email protected] (S.S.C.); [email protected] (F.R.D.); Faculty of Biological Sciences, The University of Leeds, Leeds LS2 9JT, UK 
First page
1021
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
20762615
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2528298698
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.