首页> 外文期刊>The Indian Journal of Animal Sciences >Sire evaluation based on predicted first lactation 305-day milk yield using monthly test day milk yield values of Karan Fries cattle
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Sire evaluation based on predicted first lactation 305-day milk yield using monthly test day milk yield values of Karan Fries cattle

机译:ire牛评估基于Karan Fries牛的每月测试日奶产量值,基于预测的首次泌乳305天奶产量

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摘要

The present investigation was carried out using data of first lactation monthly (MTDY) test day milk yield records of 1345 Karan Fries cows sired by 84 bulls from 1984-2006 maintained at the NDRI, Karnal. The breeding values of Karan Fries sires wereestimated for predicted first lactation 305-day by step-wise backward multiple regression using monthly test day milk yields. The breeding values were estimated by 4 methods, viz. least squares method (LSQ), simple regressed least squares method (SRLS),contemporary comparison method (CC) and best linear unbiased prediction (BLUP). The effectiveness of LSQ, SRLS and BLUP methods of sire evaluation was compared on the basis of rank correlations, error variance, coefficients of determination (R~2) and coefficients of variation (CV). The rank correlation for LSQ with SRLS (0.92-0.99) was highest followed by LSQ with BLUP (0.89-0.91) and SRLS with BLUP (0.81-0.91) which were very close. The lowest rank correlation was observed in LSQ with CC (0.10-0.16) and SRLS with CC (0.10-0.17). It was observed that all the rank correlations between CC with BLUP were negative. The relative efficiency of LSQ and SRLS in comparison with BLUP was more than 95%. T~he coefficient of determination (R~2) for LSQ and SRLS wasnearly equal (16.30% to 17.58%) and BLUP had lower R2 (13.10% to 14.75%) than LSQ and SRLS. The narrow range of coefficient of variation (CV) for LSQ, SRLS and BLUP (23.5% to 24.5%) and small deviation from CV of unadjusted data (25.35%) indicated thatall the 3 methods were almost equally stable. The BLUP method which had lower error variance was found to be more efficient than the LSQ and SRLS methods using the 305-day milk yield predicted by regression equation considering fourth, sixth and ninth MTDYs.
机译:本研究是使用1984-2006年间由84头公牛在Karnal NDRI饲养的1345头Karan Fries奶牛的首次泌乳月度(MTDY)试验日牛奶产量记录进行的。通过使用每月试验日产奶量的逐步向后多元回归分析,对预测的305天首次泌乳期的Karan Fries父系的育种值进行了估算。育种值通过4种方法估算,即。最小二乘法(LSQ),简单回归最小二乘法(SRLS),当代比较法(CC)和最佳线性无偏预测(BLUP)。根据等级相关性,误差方差,确定系数(R〜2)和变异系数(CV)比较了LSQ,SRLS和BLUP父亲评估方法的有效性。带有SRLS的LSQ的等级相关性最高(0.92-0.99),其次是具有BLUP的LSQ(0.89-0.91)和具有BLUP的LSQ(0.81-0.91),它们之间的关系非常接近。在具有CC(0.10-0.16)的LSQ和具有CC(0.10-0.17)的SRLS中观察到最低等级相关性。观察到CC与BLUP之间的所有等级相关均为负。与BLUP相比,LSQ和SRLS的相对效率超过95%。 LSQ和SRLS的测定系数(R〜2)几乎相等(16.30%至17.58%),BLUP的R2(13.10%至14.75%)低于LSQ和SRLS。 LSQ,SRLS和BLUP的变异系数(CV)范围狭窄(23.5%至24.5%),并且与未调整数据的CV的偏差很小(25.35%),表明这三种方法几乎都一样稳定。发现使用具有第四,第六和第九MTDY的回归方程预测的305天产奶量,具有较低误差方差的BLUP方法比LSQ和SRLS方法更有效。

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