Enhancing individual animal resilience to environmental disturbances to address low productivity in dairy cattle performing in sub-Saharan Africa

IF 2.1 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Frontiers in animal science Pub Date : 2023-09-22 DOI:10.3389/fanim.2023.1254877
Richard D. Oloo, Julie M. K. Ojango, Chinyere C. Ekine-Dzivenu, Gebregziabher Gebreyohanes, Raphael Mrode, Okeyo A. Mwai, Mizeck G. G. Chagunda
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Abstract

The current review examines potential solutions to enhance the sustainability and productivity of the dairy sector in sub-Saharan Africa (SSA) with an emphasis on breeding for resilience. Additionally, the paper explores various indicators for measuring resilience and provides insights into the data that can be utilized to quantify resilience in SSA’s dairy production systems. Dairy production contributes significantly to food and nutritional security and employment in SSA. However, besides the general lack of enabling policy and institutional environments, production is negatively affected by environmental challenges such as high temperatures and heat stress, diseases and parasites, unreliable rainfall patterns, shortages of feeds and forages and undue preference for taurine cattle breeds regardless of their poor adaptability to prevailing local conditions. Fostering the resilience capacity of dairy animals is imperative to combat climate-related adversities and maintain productivity. This can only be achieved if reliable and practical methods for quantifying and analyzing resilience in SSA are described and undertaken. This study has reviewed variance of deviations, root mean square of deviations, autocorrelation of deviations, skewness of deviations, slope of the reaction norm and its absolute value as possible indicators of resilience in SSA. While previous research has reported genetic variation and favorable correlations of these indicators with health, fitness, and fertility traits, their potential in SSA environments requires further investigation. Besides, labor- and cost-effective phenotypic data collection is essential for characterization of resilience using these indicators. Through this study, we propose frequently collected data on milk production traits, body fat-related traits, and activity patterns as suitable in the sub-Saharan Africa context. The African Asian Dairy Genetic Gains Project by the International Livestock Research Institute (ILRI) offers a valuable opportunity to collate data from diverse dairy systems in SSA for testing the potential of these indicators. Insights from this study are helpful in improving resilience of dairy animals in SSA, which would contribute to poverty alleviation, animal welfare improvement, and better preparedness in lieu of climate change in SSA.
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提高个体动物对环境干扰的抵御能力,以解决撒哈拉以南非洲地区奶牛生产力低下的问题
目前的审查审查了提高撒哈拉以南非洲(SSA)乳制品行业可持续性和生产力的潜在解决方案,重点是培养抵御力。此外,本文探讨了衡量弹性的各种指标,并提供了可用于量化SSA乳制品生产系统弹性的数据见解。乳制品生产对撒哈拉以南非洲的粮食和营养安全和就业作出了重大贡献。然而,除了普遍缺乏有利的政策和体制环境外,生产还受到环境挑战的不利影响,例如高温和热应激、疾病和寄生虫、不可靠的降雨模式、饲料和饲料短缺以及不顾牛磺酸牛品种对当地普遍条件的适应性差而过分偏爱牛磺酸牛品种。培养奶牛的适应能力对于应对气候相关逆境和保持生产力至关重要。只有描述和采取可靠和实用的量化和分析SSA弹性的方法,才能实现这一目标。本研究回顾了偏差方差、偏差均方根、偏差自相关、偏差偏度、反应范数斜率及其绝对值可能作为SSA弹性的指标。虽然先前的研究已经报道了这些指标与健康、适应性和生育性状的遗传变异和有利相关性,但它们在SSA环境中的潜力需要进一步研究。此外,劳动力和成本效益的表型数据收集是必不可少的表征弹性使用这些指标。通过这项研究,我们提出了经常收集的关于产奶特征、体脂相关特征和活动模式的数据,这些数据适用于撒哈拉以南非洲地区。国际畜牧研究所(ILRI)的非洲-亚洲乳业遗传增益项目提供了一个宝贵的机会,可以整理来自南非洲不同乳业系统的数据,以测试这些指标的潜力。本研究的结论有助于提高SSA地区奶牛的恢复力,从而有助于SSA地区减轻贫困、改善动物福利和更好地应对气候变化。
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CiteScore
2.30
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0.00%
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0
审稿时长
13 weeks
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