Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
Roman L. Hruska U.S. Meat Animal Research Center, USDA, ARS, Clay Center, NE 68933, USA.
J Anim Sci. 2021 Aug 1;99(8). doi: 10.1093/jas/skab209.
Cow mature weight (MWT) is heritable and affects the costs and efficiency of a breeding operation. Cow weight is also influenced by the environment, and the relationship between the size and profitability of a cow varies depending on production system. Producers, therefore, need tools to incorporate MWT in their selection of cattle breeds and herd replacements. The objective of this study was to estimate breed and heterotic effects for MWT using weight-age data on crossbred cows. Cow's MWT at 6 yr was predicted from the estimated parameter values-asymptotic weight and maturation constant (k)-from the fit of the Brody function to their individual data. Values were obtained for 5,156 crossbred cows from the U.S. Meat Animal Research Center (USMARC) Germplasm Evaluation Program using 108,957 weight records collected from approximately weaning up to 6 yr of age. The cows were produced from crosses among 18 beef breeds. A bivariate animal model was fitted to the MWT and k obtained for each cow. The fixed effects were birth year-season contemporary group and covariates of direct and maternal breed fractions, direct and maternal heterosis, and age at final weighing. The random effects were direct additive and residual. A maternal additive random effect was also fitted for k. In a separate analysis from that used to estimate breed effects and (co)variances, cow MWT was regressed on sire yearling weight (YWT) Expected Progeny Differences by its addition as a covariate to the animal model fitted for MWT. That regression coefficient was then used to adjust breed solutions for sire selection in the USMARC herd. Direct heterosis was 15.3 ± 2.6 kg for MWT and 0.000118 ± 0.000029 d-1 for k. Maternal heterosis was -5.7 ± 3.0 kg for MWT and 0.000130 ± 0.000035 d-1 for k. Direct additive heritabilities were 0.56 ± 0.03 for MWT and 0.23 ± 0.03 for k. The maternal additive heritability for k was 0.11 ± 0.02. The direct additive correlation between MWT and k was negligible (0.08 ± 0.09). Adjusted for sire sampling, Angus was heaviest at maturity of the breeds compared. Deviations from Angus ranged from -8.9 kg (Charolais) to -136.7 kg (Braunvieh). Ordered by decreasing MWT, the breeds ranked Angus, Charolais, Hereford, Brahman, Salers, Santa Gertrudis, Simmental, Maine Anjou, Limousin, Red Angus, Brangus, Chiangus, Shorthorn, Gelbvieh, Beefmaster, and Braunvieh. These breed effects for MWT can inform breeding programs where cow size is considered a key component of the overall profitability.
奶牛成熟体重(MWT)是可遗传的,会影响养殖业务的成本和效率。奶牛的体重也受到环境的影响,奶牛的大小和盈利能力之间的关系因生产系统而异。因此,生产者需要工具将 MWT 纳入他们对牛品种和牛群更替的选择中。本研究的目的是使用杂交奶牛的体重-年龄数据估计品种和杂种优势对 MWT 的影响。通过将 Brody 函数拟合到个体数据中,从估计的参数值(渐近体重和成熟常数(k))中预测奶牛在 6 岁时的 MWT。使用美国肉类动物研究中心(USMARC)种质评估计划中的 5156 头杂交奶牛的数据,对 108957 个体重记录进行了收集,这些记录大约从断奶到 6 岁。奶牛是由 18 个牛肉品种杂交而成。对每头奶牛的 MWT 和 k 进行双变量动物模型拟合。固定效应是出生年份-季节同期组以及直接和母系品种分数、直接和母系杂种优势以及最后称重时的年龄的协变量。随机效应是直接加性和残余。还为 k 拟合了母系加性随机效应。在与估计品种效应和(协)方差不同的单独分析中,将奶牛 MWT 回归到 sire 周岁体重(YWT)预期后代差异,并将其作为协变量添加到为 MWT 拟合的动物模型中。然后,将该回归系数用于调整 sire 选择在 USMARC 牛群中的品种解决方案。MWT 的直接杂种优势为 15.3 ± 2.6kg,k 的为 0.000118 ± 0.000029 d-1。MWT 的母系杂种优势为-5.7 ± 3.0kg,k 的为 0.000130 ± 0.000035 d-1。MWT 的直接加性遗传力为 0.56 ± 0.03,k 的为 0.23 ± 0.03。k 的母系加性遗传力为 0.11 ± 0.02。MWT 和 k 之间的直接加性相关性可以忽略不计(0.08 ± 0.09)。考虑 sire 抽样后,与其他品种相比,安格斯在成熟时最重。与安格斯的偏差范围从-8.9kg(夏洛莱)到-136.7kg(勃然菲尔德)。按 MWT 递减排序,品种依次为安格斯、夏洛莱、海福特、婆罗门、萨莱、圣格特鲁迪斯、西门塔尔、缅因安格斯、利木赞、红安格斯、布兰格斯、张河、短角牛、金格斯、肉牛大师和勃然菲尔德。这些 MWT 的品种效应可以为那些将奶牛大小视为整体盈利能力关键组成部分的养殖计划提供信息。