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畜牧生产系统中抗逆性的选育

Selection for Resilience in Livestock Production Systems.

作者信息

Laghouaouta Houda, Fraile Lorenzo J, Pena Ramona N

机构信息

Agrotecnio-CERCA Center, Department of Animal Science, University of Lleida, 25198 Lleida, Catalonia, Spain.

出版信息

Int J Mol Sci. 2024 Dec 6;25(23):13109. doi: 10.3390/ijms252313109.

Abstract

Selective breeding for improved animal resilience is becoming critical to increase the sustainability of production systems. Despite the existence of a genetic component for resilience, breeding for improved resilience has been limited by the absence of a consensus on its definition and quantifying method. In this work, we provide a review of (i) the definition of resilience and related concepts such as robustness, resistance, and tolerance; (ii) possible quantifying methods for resilience; (iii) its genetic background; and (iv) insights about its improvement through selective breeding. We suggest that a resilient animal may be defined as an individual that is able to cope with a perturbation(s) and rapidly bounce back to normal functioning if altered. Furthermore, since challenging conditions lead to trade-offs and, consequently, deviations between basic physiological functions, we suggest using these deviations as indicators for resilience. These resilience indicators may also be used as proxies to study the genetic determinism and background of resilience in livestock species. Finally, we discuss possible strategies to improve resilience and review the implementation of associated genetic markers for resilience indicators in selection schemes.

摘要

为提高动物的适应力而进行的选择性育种对于增强生产系统的可持续性正变得至关重要。尽管适应力存在遗传成分,但由于对其定义和量化方法缺乏共识,提高适应力的育种工作受到了限制。在这项工作中,我们对以下内容进行了综述:(i)适应力的定义以及诸如稳健性、抗性和耐受性等相关概念;(ii)适应力可能的量化方法;(iii)其遗传背景;以及(iv)关于通过选择性育种提高适应力的见解。我们建议,适应力强的动物可定义为能够应对干扰,并在受到改变后迅速恢复到正常功能的个体。此外,由于具有挑战性的条件会导致权衡取舍,进而导致基本生理功能之间的偏差,我们建议将这些偏差用作适应力的指标。这些适应力指标也可用作研究家畜物种适应力的遗传决定因素和背景的代理指标。最后,我们讨论了提高适应力的可能策略,并综述了在选择方案中针对适应力指标实施相关遗传标记的情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f2c/11641722/8358db22856c/ijms-25-13109-g001.jpg

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