Genetic analysis of sensitivity of Bonga and Menz sheep to climate variation under tropical conditions

Purpose This study aims to investigate the genetic background of performance sensitivity to climate variation in Bonga and Menz sheep, with the goal of improving the efficiency and sustainability of sheep production under variable climate conditions. Design/methodology/approach The productive and reproductive performance of Bonga and Menz sheep collected over 14 years were analyzed together with pedigree and climate data using a reaction norm model. Findings Some degree of heterogeneity in additive genetic variance and direct heritability estimates over the trajectory of temperature-humidity index and rainfall was observed for productive traits of both sheep breeds. The productive and reproductive performance of Menz and the reproductive performance of Bonga sheep were less sensitive to climate variation, and there was a less uniform genetic response to varying climate conditions. Besides, many robust animals for both sheep breeds indicate inherent performance stability and adaptability to climate variability. Originality/value To the best of the authors’ knowledge, this paper is one of the few studies focusing on the genetic background of sheep performance sensitivity to climate variability. It offers useful information for developing breeding strategies to increase the efficiency and sustainability of sheep production under climate variability.

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Publication Details

Journal
International Journal of Climate Change Strategies and Management
Published
2026-10-09
DOI
https://doi.org/10.1108/ijccsm-10-2024-0174
Primary Topic
Effects of Environmental Stressors on Livestock
Type
article
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article

Genetic analysis of sensitivity of Bonga and Menz sheep to climate variation under tropical conditions

Zeleke Tesema, Ebadu Areb, Dawit Solomon, Shanbel Besufkad et al.
International Journal of Climate Change Strategies and Management
Effects of Environmental Stressors on Livestock
article

Genetic analysis of sensitivity of Bonga and Menz sheep to climate variation under tropical conditions

Zeleke Tesema, Ebadu Areb, Dawit Solomon, Shanbel Besufkad, Barbara RISCHKOWSKY, Yosef Amha, Berhanu Belay, Tamrat Bekele, Teferi Demissie, Shenkutie Goshmie, Tesfaye Getachew, Mourad Rekik, Aynalem Haile, Zelalem Abate
article en

Abstract

Purpose This study aims to investigate the genetic background of performance sensitivity to climate variation in Bonga and Menz sheep, with the goal of improving the efficiency and sustainability of sheep production under variable climate conditions. Design/methodology/approach The productive and reproductive performance of Bonga and Menz sheep collected over 14 years were analyzed together with pedigree and climate data using a reaction norm model. Findings Some degree of heterogeneity in additive genetic variance and direct heritability estimates over the trajectory of temperature-humidity index and rainfall was observed for productive traits of both sheep breeds. The productive and reproductive performance of Menz and the reproductive performance of Bonga sheep were less sensitive to climate variation, and there was a less uniform genetic response to varying climate conditions. Besides, many robust animals for both sheep breeds indicate inherent performance stability and adaptability to climate variability. Originality/value To the best of the authors’ knowledge, this paper is one of the few studies focusing on the genetic background of sheep performance sensitivity to climate variability. It offers useful information for developing breeding strategies to increase the efficiency and sustainability of sheep production under climate variability.

International Journal of Climate Change Strategies and ManagementVol. 18(1)
International Center for Agricultural Research in the Dry Areas (LB), Amhara Agricultural Research Institute (ET), Ethiopian Institute of Agricultural Research (ET), International Livestock Research Institute (KE)
Openalex Percentile: Top 15%
Effects of Environmental Stressors on Livestock
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