Guelph Food Research Centre, Agriculture and Agri-Food Canada, Guelph, ON, Canada, N1G 5C9.
J Dairy Sci. 2010 Sep;93(9):4427-34. doi: 10.3168/jds.2009-2915.
The objectives of this study were a) to estimate the genetic correlation between milk production and some female fertility traits such as 56-d nonreturn rate in cows (NRRC), calving to first service (CTFS), and first service to conception (FSTC); b) to assess the influence of including milk production as a correlated trait on the genetic evaluation of these traits in Canadian Holsteins; and c) to determine if using heifer nonreturn rate (NRRH) had a similar effect as using milk production on cow NRRC evaluation. The data included fertility and production records of first-parity Holstein cows. Genetic parameters were estimated using uni- and bivariate analyses in which milk production at around 90 DIM (TD90M) was included as a correlated trait to NRRC, CTFS, and FTSC. A bivariate analysis was also carried out in which NRRH was included as a correlated trait to NRRC. The models were compared by genetic trend (NRRC, CTFS, and FSTC) and cross-validation and predictability (NRRC). The heritability estimates for NRRC from the uni- and bivariate analyses were 0.017 and 0.020, respectively. The corresponding figures for CTFS were 0.07 and 0.08 and for FSTC were 0.049 and 0.05. The genetic trends for NRRC of the 2 models (NRRC+TD90M and NRRC+NRRH) gave very similar results. However, when milk production was included in the genetic evaluation of CTFS and FSTC, the genetic trends of the 2 fertility traits were higher compared with the univariate analysis. In NRRC evaluation by cross-validation and predictability, the bivariate analyses were more consistent and gave a better predictability than the univariate analysis. However, there was no major difference between the 2 models. Consequently, it might be worth including milk production or heifer fertility as correlated traits in the genetic evaluation of female fertility traits.
a)估计奶牛产奶量与一些雌性生育力性状(如 56 天未返情率 NRRC、配种至首次输精 CTFS 和首次输精至妊娠 FSTC)之间的遗传相关性;b)评估在加拿大荷斯坦牛中,将产奶量作为相关性状纳入这些性状遗传评估的影响;c)确定使用后备牛未返情率 NRRH 是否与使用产奶量对奶牛 NRRC 评估具有相似的效果。数据包括初产荷斯坦奶牛的繁殖和生产记录。使用单变量和双变量分析估计遗传参数,其中将大约 90 天泌乳量 TD90M 作为相关性状纳入 NRRC、CTFS 和 FTSC 的分析中。还进行了双变量分析,其中将 NRRH 作为相关性状纳入 NRRC 的分析中。通过遗传趋势(NRRC、CTFS 和 FSTC)和交叉验证和可预测性(NRRC)比较模型。单变量和双变量分析中 NRRC 的遗传力估计值分别为 0.017 和 0.020,CTFS 分别为 0.07 和 0.08,FSTC 分别为 0.049 和 0.05。2 个模型(NRRC+TD90M 和 NRRC+NRRH)的 NRRC 遗传趋势非常相似。然而,当产奶量被纳入 CTFS 和 FSTC 的遗传评估时,2 个生育力性状的遗传趋势比单变量分析更高。在 NRRC 的交叉验证和可预测性评估中,双变量分析更一致,比单变量分析具有更好的可预测性。然而,2 个模型之间没有太大差异。因此,将产奶量或后备牛生育力作为相关性状纳入雌性生育力性状的遗传评估可能是值得的。