Ghavi Hossein-Zadeh Navid, Nazari Mohammad Ali, Shadparvar Abdol Ahad
Department of Animal Science,Faculty of Agricultural Sciences,University of Guilan,Rasht,41635-1314,Iran.
J Dairy Res. 2017 Nov;84(4):434-439. doi: 10.1017/S0022029917000498. Epub 2017 Sep 20.
The objectives of this study were to estimate the genetic parameters and genetic trends for different measures of persistency (PM) for milk yield in Iranian buffaloes using a random regression test day model. Test day records of the first three lactations of buffaloes within 715 herds comprising 43 014, 38 941 and 33 937 records, respectively, were obtained from the Animal Breeding Center of Iran during 1992 to 2012. Legendre polynomial functions were chosen to fit the lactation curves in the framework of a random regression test day model for estimating (co)variance components. Three measures of persistency were modified based on the lactation curve conditions of buffaloes: (1) The average of estimated breeding values (EBVs) for test day milk yields from day 226 to day 270 as a deviation from the average of EBVs from day 44 to day 62 (PM1), (2) A summation of contribution for each day from day 53 to day 247 as a deviation from day 248 (PM2), (3) The difference between EBVs for day 257 and day 80 (PM3). The highest heritability estimates were observed for PM2 over the first three lactations (0·29, 0·80 and 0·42, respectively). Estimates of genetic correlations between persistency measures and milk yield varied from -0·48 to 0·29 (first lactation), from -0·12 to 0·48 (second lactation), and from -0·62 to 0·63 (third lactation). Estimate of genetic trend for first lactation PM2 was negative (-0·0088 ± 0·0043; P < 0·05). It is essential to include milk yield persistency in the breeding goal of Iranian buffaloes along with other important traits such as milk yield or reproductive traits.
本研究的目的是使用随机回归测定日模型估计伊朗水牛产奶量不同持续性指标(PM)的遗传参数和遗传趋势。分别从43014条、38941条和33937条记录的715个牛群中获取了1992年至2012年期间水牛前三个泌乳期的测定日记录,这些记录来自伊朗动物育种中心。在随机回归测定日模型框架内,选择勒让德多项式函数拟合泌乳曲线以估计(协)方差分量。根据水牛的泌乳曲线情况修改了三种持续性指标:(1)第226天至第270天测定日产奶量估计育种值(EBV)的平均值与第44天至第62天EBV平均值的偏差(PM1),(2)第53天至第247天每天贡献量与第248天偏差的总和(PM2),(3)第257天和第80天EBV的差值(PM3)。前三个泌乳期内,PM2的遗传力估计值最高(分别为0·29、0·80和0·42)。持续性指标与产奶量之间的遗传相关估计值在第一个泌乳期为-0·48至0·29,在第二个泌乳期为-0·12至0·48,在第三个泌乳期为-0·62至0·63。第一个泌乳期PM2的遗传趋势估计值为负(-0·0088±0·0043;P<0·05)。在伊朗水牛的育种目标中纳入产奶量持续性以及其他重要性状(如产奶量或繁殖性状)至关重要。