GenPhySE, Université de Toulouse, INRAE, Institut National Polytechnique de Toulouse, École Nationale Vétérinaire de Toulouse, Castanet Tolosan, 31320, France.
GenPhySE, Université de Toulouse, INRAE, Institut National Polytechnique de Toulouse, École Nationale Vétérinaire de Toulouse, Castanet Tolosan, 31320, France.
J Dairy Sci. 2022 May;105(5):4289-4300. doi: 10.3168/jds.2021-21222. Epub 2022 Mar 2.
Resilience is the ability of an animal to cope with environmental disturbances, such as pathogens or negative energy balance. To improve resilience through breeding, we need resilience indicators. Functional longevity might be a good indicator of a dairy goat's lifetime resilience as it results from the ability to cope with and recover from all the challenges faced throughout its lifetime. The aim of this study was to validate the use of functional longevity as an indicator of resilience for selection. To address this question, we created 2 genetic lines of Alpine goats using hyperselected artificial insemination bucks with the most extreme estimated breeding values for functional longevity and the same milk yield performance. A total of 440 goats, 228 in the high longevity (high_LGV) and 221 in the low longevity (low_LGV) lines, were bred and monitored for 4 yr. Health treatments, serum IgG concentration as a proxy of passive immune transfer in early life, kidding, age, and reason of culling were systematically noted. Weight and body morphology were monitored. Weight and growth during the first year of life were similar in both goat lines. In contrast, the low_LGV goats had a lower weight during the beginning of first lactation than high_LGV goats. The milk fat-to-protein ratio was also significantly higher in low_LGV goats during first lactation. A multivariable Cox regression was fitted to the data to decipher survival at different stages of life in the 2 lines. The overall survival of high_LGV goats was significantly better than low_LGV goats (hazard ratio = 0.63, confidence interval = 0.47; 0.86) even after we included treatment, growth, serum IgG concentration at birth, and year effects in the model. The line effect was not constant over time; no significant effect was found during the first year, and the difference was observed after first kidding. This result suggested that survival at an early stage of life and during later productive life are under different genetic regulation. Altogether, this monitoring of the goat lines indicated that functional longevity-based selection helps to improve resilience by improving survival and mitigating some indicators of fat mobilization during early lactation.
弹性是动物应对环境干扰的能力,例如病原体或负能量平衡。为了通过繁殖提高弹性,我们需要弹性指标。功能长寿可能是奶山羊终生弹性的一个很好的指标,因为它是其应对和恢复其一生中面临的所有挑战的能力的结果。本研究的目的是验证使用功能长寿作为选择的弹性指标。为了解决这个问题,我们使用估计育种值对功能寿命最极端的超选人工授精公山羊创建了 2 个阿尔卑斯山羊品系。使用相同的产奶量性能。共繁殖和监测了 440 只山羊,228 只为高长寿(高_LGV),221 只为低长寿(低_LGV)。健康治疗、血清 IgG 浓度作为早期被动免疫转移的代表、分娩、年龄和淘汰原因均有系统记录。体重和身体形态进行了监测。两个山羊品系的第一年体重和生长情况相似。相反,低_LGV 山羊在泌乳初期的体重低于高_LGV 山羊。在泌乳初期,低_LGV 山羊的乳脂蛋白比也明显更高。对数据进行多变量 Cox 回归分析,以解析两条线在不同生命阶段的生存情况。即使在模型中包含治疗、生长、出生时的血清 IgG 浓度和年份效应后,高_LGV 山羊的整体存活率也明显优于低_LGV 山羊(风险比=0.63,置信区间=0.47;0.86)。线效应并非随时间恒定;在第一年没有发现显著影响,而是在第一次分娩后才观察到差异。这一结果表明,早期生命和后期生产寿命的生存受到不同遗传调控的影响。总的来说,对山羊品系的监测表明,基于功能长寿的选择有助于通过提高存活率和减轻泌乳早期脂肪动员的某些指标来提高弹性。