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荷斯坦奶牛干物质采食量的一致性:遗传力估计及其与饲料效率的关联

Consistency of dry matter intake in Holstein cows: Heritability estimates and associations with feed efficiency.

作者信息

Cavani Ligia, Parker Gaddis Kristen L, Baldwin Ransom L, Santos José E P, Koltes James E, Tempelman Robert J, VandeHaar Michael J, White Heather M, Peñagaricano Francisco, Weigel Kent A

机构信息

Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.

Council on Dairy Cattle Breeding, Bowie, MD 48824.

出版信息

J Dairy Sci. 2024 Feb;107(2):1054-1067. doi: 10.3168/jds.2023-23774. Epub 2023 Sep 26.

DOI:10.3168/jds.2023-23774
PMID:37769947
Abstract

Resilience can be defined as the capacity to maintain performance or bounce back to normal functioning after a perturbation, and studying fluctuations in daily feed intake may be an effective way to identify resilient dairy cows. Our goal was to develop new phenotypes based on daily dry matter intake (DMI) consistency in Holstein cows, estimate genetic parameters and genetic correlations with feed efficiency and milk yield consistency, and evaluate their relationships with production, longevity, health, and reproduction traits. Data consisted of 397,334 daily DMI records of 6,238 lactating Holstein cows collected from 2007 to 2022 at 6 research stations across the United States. Consistency phenotypes were calculated based on the deviations from expected daily DMI for individual cows during their respective feeding trials, which ranged from 27 to 151 d in duration. Expected values were derived from different models, including simple average, quadratic and cubic quantile regression with a 0.5 quantile, and locally estimated scatterplot smoothing (LOESS) regression with span parameters 0.5 and 0.7. We then calculated the log of variance (log-Var-DMI) of daily deviations for each model as the consistency phenotype. Consistency of milk yield was also calculated, as a reference, using the same methods (log-Var-Milk). Genetic parameters were estimated using an animal model, including lactation, days in milk and cohort as fixed effects, and animal as random effect. Relationships between log-Var-DMI and traits currently considered in the US national genetic evaluation were evaluated using Spearman's rank correlations between sires' breeding values. Heritability estimates for log-Var-DMI ranged from 0.11 ± 0.02 to 0.14 ± 0.02 across models. Different methods (simple average, quantile regressions, and LOESS regressions) used to calculate log-Var-DMI yielded very similar results, with genetic correlations ranging from 0.94 to 0.99. Estimated genetic correlations between log-Var-DMI and log-Var-Milk ranged from 0.51 to 0.62. Estimated genetic correlations between log-Var-DMI and feed efficiency ranged from 0.55 to 0.60 with secreted milk energy, from 0.59 to 0.63 with metabolic body weight, and from 0.26 to 0.31 with residual feed intake (RFI). Relationships between log-Var-DMI and the traits in the national genetic evaluation were moderate and positive correlations with milk yield (0.20 to 0.21), moderate and negative correlations with female fertility (-0.07 to -0.20), no significant correlations with health and longevity, and favorable correlations with feed efficiency (-0.23 to -0.25 with feed saved and 0.21 to 0.26 with RFI). We concluded that DMI consistency is heritable and may be an indicator of resilience. Cows with lower variation in the difference between actual and expected daily DMI (more consistency) may be more effective in maintaining performance in the face of challenges or perturbations, whereas cows with greater variation in observed versus expected daily DMI (less consistency) are less feed efficient and may be less resilient.

摘要

恢复力可定义为在受到干扰后维持生产性能或恢复到正常功能的能力,研究每日采食量的波动可能是识别具有恢复力的奶牛的有效方法。我们的目标是基于荷斯坦奶牛每日干物质采食量(DMI)的一致性开发新的表型,估计遗传参数以及与饲料效率和产奶量一致性的遗传相关性,并评估它们与生产、寿命、健康和繁殖性状的关系。数据包括2007年至2022年在美国6个研究站收集的6238头泌乳荷斯坦奶牛的397334条每日DMI记录。一致性表型是根据个体奶牛在各自饲养试验期间与预期每日DMI的偏差计算得出的,饲养试验持续时间从27天到151天不等。预期值来自不同的模型,包括简单平均值、二次和三次分位数回归(分位数为0.5)以及跨度参数为0.5和0.7的局部加权散点平滑(LOESS)回归。然后,我们将每个模型的每日偏差的方差对数(log-Var-DMI)计算为一致性表型。产奶量的一致性也使用相同的方法(log-Var-Milk)进行计算,作为参考。使用动物模型估计遗传参数,包括泌乳期、产奶天数和群组作为固定效应,动物作为随机效应。使用 sire 育种值之间的 Spearman 等级相关性评估 log-Var-DMI 与美国国家遗传评估中目前考虑的性状之间的关系。不同模型下 log-Var-DMI 的遗传力估计范围为0.11±0.02至0.14±0.02。用于计算 log-Var-DMI 的不同方法(简单平均值、分位数回归和 LOESS 回归)产生了非常相似的结果,遗传相关性范围为0.94至0.99。log-Var-DMI 与 log-Var-Milk 之间的估计遗传相关性范围为0.51至0.62。log-Var-DMI 与饲料效率之间的估计遗传相关性,与分泌乳能量为0.55至0.60,与代谢体重为0.59至0.63,与剩余采食量(RFI)为0.26至0.31。log-Var-DMI 与国家遗传评估中的性状之间的关系为:与产奶量呈中等正相关(0.20至0.21),与雌性繁殖力呈中等负相关(-0.07至-0.20),与健康和寿命无显著相关性,与饲料效率呈良好相关性(与节省饲料为-0.23至-0.25,与RFI为0.21至0.26)。我们得出结论,DMI 一致性是可遗传的,可能是恢复力的一个指标。实际与预期每日DMI差异变化较小(一致性更高)的奶牛在面对挑战或干扰时可能更有效地维持生产性能,而观察到的与预期每日DMI差异变化较大(一致性较低)的奶牛饲料效率较低,恢复力可能也较低。

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