IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 8

Published on: August 2026

SELECTION AND BREEDING OF LIVESTOCK FOR CLIMATE RESILIENCE: A REVIEW

R. B. Shitole Dr. S. A. Dhage Dr. U. S. Gaikwad Dr. D. K. Deokar Dr. A.T. Lokhande Dr. D. K. Kamble

Department of Animal Husbandry and Dairy Science,

Mahatma Phule Krishi Vidyapeeth, Rahuri, Dist- Ahilyanagar, Maharashtra, India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Increasing climatic variability poses a major threat to sustainable livestock production through rising temperatures, heat waves, drought, water scarcity, extreme weather events, and changing disease and parasite patterns. These stresses adversely affect animal health, growth, production, reproduction, feed availability, and survival. Climate-resilient livestock can maintain productivity, health, reproductive performance, and survival under environmental stress through traits such as heat and drought tolerance, disease and parasite resistance, feed efficiency, and water-use efficiency. Indigenous breeds are valuable genetic resources because of their adaptation to harsh environments and their ability to utilize poor-quality feed and withstand climatic and disease challenges. Genetic selection provides a sustainable approach to climate adaptation, with conventional methods such as phenotypic, pedigree, and progeny selection complemented by marker-assisted selection, genomic selection, GWAS, and precision livestock breeding. Candidate genes such as SLICK, HSP70, HSP90, and HSF1 contribute to thermotolerance and heat-stress responses. However, breeding for climate resilience is challenged by low heritability, difficulty in phenotyping, genotype × environment interactions, limited genomic information, high technological costs, loss of genetic diversity, and inadequate infrastructure. Integrating indigenous genetic resources with conventional and advanced genomic approaches can accelerate the development of climate-smart livestock capable of maintaining productivity, health, welfare, and resource-use efficiency under changing climatic conditions, thereby improving sustainability, profitability, and food security.

Keywords: Climate-resilient livestock; Heat stress; Genetic selection; Indigenous breeds; Genomic selection; Climate-smart breeding.

 

How to Cite this Paper

Shitole, R. B., Dhage, S. A., Gaikwad, U. S., Deokar, D. K., Lokhande, A. & Kamble, D. K. (2026). Selection and Breeding of Livestock for Climate Resilience: A Review. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-9. https://doi.org/10.55041/ijcope.v2i8.183

Shitole, R., et al.. "Selection and Breeding of Livestock for Climate Resilience: A Review." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 8, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i8.183.

Shitole, R.,S. Dhage,U. Gaikwad,D. Deokar,A.T. Lokhande, and D. Kamble. "Selection and Breeding of Livestock for Climate Resilience: A Review." International Journal of Creative and Open Research in Engineering and Management 02, no. 8 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i8.183.

Search & Index

References

Bernabucci, U., Lacetera, N., Baumgard, L. H., Rhoads, R. P., Ronchi, B., & Nardone, A. (2023). Metabolic and physiological adaptations of dairy cattle to heat stress. Animal, 17(Suppl. 1), 100713.

Berry, D. P., & Crowley, J. J. (2023). Genetics of feed efficiency in dairy and beef cattle: Current status and future prospects. Animal Frontiers, 13(2), 48–57.

Bishop, S. C., & Woolliams, J. A. (2023). Genomics and breeding for disease resistance in livestock: Progress and future opportunities. Frontiers in Genetics, 14, 1189456.

Boichard, D., & Brochard, M. (2012). New phenotypes for new breeding goals in dairy cattle. Animal, 6(4), 544–550.

Brito, L. F., Oliveira, H. R., McConn, B. R., Schinckel, A. P., Arrazola, A., Marchant-Forde, J. N., & Johnson, J. S. (2024). Genomic selection and breeding strategies for improving heat tolerance in livestock under climate change. Frontiers in Genetics, 15, 1345678.

Caja, G., Castro-Costa, A., & Knight, C. H. (2016). Engineering to support wellbeing of dairy animals. Journal of Dairy Research, 83(1), 136–147.

Carabaño, M. J., Ramon, M., Diaz, C., Molina, A., Pérez-Guzmán, M. D., & Serradilla, J. M. (2019). Breeding for resilience to heat stress effects in dairy ruminants. Animal Frontiers, 9(1), 30–37.

De Haas, Y., Pryce, J. E., Calus, M. P. L., Wall, E., & Veerkamp, R. F. (2024). Genetic improvement of feed efficiency and environmental sustainability in livestock production systems. Frontiers in Animal Science, 5, 1349876.

Dekkers, J. C. M. (2004). Commercial application of marker- and gene-assisted selection in livestock: Strategies and lessons. Journal of Animal Science, 82(E-Suppl.), E313–E328.

Dikmen, S., Khan, F. A., Huson, H. J., Sonstegard, T. S., Moss, J. I., Dahl, G. E., & Hansen, P. J. (2014). The SLICK hair locus is associated with improved thermotolerance in cattle. Journal of Dairy Science, 97(9), 5508–5514.

Dusi, P. (2024). Climate-Resilient Livestock Production: Adaptive Breeding and Nutritional Strategies for Heat-Stress Mitigation in Tropical Environments. National Journal of Animal Health and Sustainable Livestock2(2), 42-48.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Aug 22 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Scroll to Top