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A comparison of different methods of sire evaluation for production and reproduction traits of Murrah graded buffaloes

机译:评估穆拉等级水牛生产和繁殖性状的不同父亲评估方法的比较

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摘要

First lactation monthly test day records of 2329 buffaloes sired by 79 sires distributed in 47 villages under field progeny testing programme in anand milk shed were used to evaluate sires for age at first calving (AFC), first lactation predicted milkyield (FLY305) and milk fat percent (fat%) traits. The objective of the study was to estimate the sire breeding value and to compare various methods of sire evaluation viz.simple daughter's average (D) , contemporary comparison (CC), least squares (LS),best linear unbiased prediction (BLUP) and average information restricted maximum likelihood (AIREML) in terms of accuracy and efficiency. Heritability estimates by Least Square -Analysis of Variance (LS-ANOVA) method were 0.252 ± 0.044, 0.065 ± 0.032and 0.073 ± 0.035, respectively for AFC, FMY305 and Fat%. The genetic correlation of AFC with FLY305 and Fat% were -0.782 ±0.192 and -0.451, respectively while the same between FLY305 and fat percent was 1.044 ± 0.39. The phenotypic correlations of FLY305 with Fat % and AFC were -0.042 and 0.109, respectively while same between Fat % and AFC was -0.099. For AFC, the AIREML had the lowest error variance than LS and BLUP, thus was the most efficient method. For FMY305 and Fat%, the BLUP was found to have lowest error variance and therefore, was the most efficient method. The relative accuracies in terms of rank correlations of D, CC, LS and BLUP methods with most efficient AIREML method were 0.35, 0.90, 0.37 and 0.97,respectively for AFC. For FLY305, the value of rank correlations of D, CC, LS and AIREML with most efficient BLUP method were 0.71, 0.71, 0.72 and 0.98, respectively. The value of rank correlations of D, CC, LS and AIREML with most efficient BLUP methodwere 0.89, 0.89, 0.95 and 0.99, respectively.
机译:在anand牛棚的田间子代测试计划下,由分布在47个村庄的79个公牛所生的2329只水牛的首次泌乳月试验日记录用于评估初产犊(AFC),第一次泌乳预测的产奶量(FLY305)和乳脂的公母百分比(脂肪%)特征。本研究的目的是评估父系的育种价值并比较各种父系评估方法,即简单女儿的平均值(D),当代比较(CC),最小二乘(LS),最佳线性无偏预测(BLUP)和平均值在准确性和效率方面,信息限制最大似然(AIREML)。最小二乘方差分析(LS-ANOVA)方法估计的遗传力对于AFC,FMY305和Fat%分别为0.252±0.044、0.065±0.032和0.073±0.035。 AFC与FLY305和脂肪百分比的遗传相关性分别为-0.782±0.192和-0.451,而FLY305和脂肪百分比之间的遗传相关性为1.044±0.39。 FLY305与脂肪%和AFC的表型相关性分别为-0.042和0.109,而脂肪%和AFC之间的表型相关性为-0.099。对于AFC,AIREML的误差方差比LS和BLUP最低,因此是最有效的方法。对于FMY305和Fat%,BLUP被发现具有最小的误差方差,因此是最有效的方法。对于AFC,D,CC,LS和BLUP方法与最有效的AIREML方法的等级相关性的相对准确度分别为0.35、0.90、0.37和0.97。对于FLY305,采用最有效的BLUP方法的D,CC,LS和AIREML的等级相关值分别为0.71、0.71、0.72和0.98。使用最有效的BLUP方法的D,CC,LS和AIREML的等级相关值分别为0.89、0.89、0.95和0.99。

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