2019International Journal of Current Microbiology and Applied SciencesOpen access

Comparison of Sire Evaluation Methods for Milk Production in Tharparkar Cattle

Garima Choudhary, Urmila Pannu, G. C. Gahlot, Mamta Nehra

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Abstract

First lactation records (91) of Tharparkar cows, progeny of 10 sires, were analyzed to estimate the variance components and breeding values of sires for first lactation milk yield using simple daughter’s average method ( ), Contemporary comparison method (CC), least-squares method (LSM) and best linear unbiased prediction (BLUP). Using , CC, LSM and BLUP methods of sire evaluation the average breeding value of sires were 1849.10 kg, 1836.17 kg, 1858.65kg and 1859.03 kg respectively. Although, lowest error variance and highest coefficient of determination in LSM method revealed that this method of sire evaluation was most efficient and accurate followed by BLUP method of sire evaluation but the CC method was the best for discrimination amongst sires as revealed from highest range of breeding values. Higher rank correlation (0.98) between LSM and BLUP methods of sire evaluation indicated that there was higher degree of similarity of ranking of the sires by both the methods of sire evaluation.

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First lactation records (91) of Tharparkar cows, progeny of 10 sires, were analyzed to estimate the variance components and breeding values of sires for first lactation milk yield using simple daughter’s average method ( ), Contemporary comparison method (CC), least-squares method (LSM) and best linear unbiased prediction (BLUP). Using , CC, LSM and BLUP methods of sire evaluation the average breeding value of sires were 1849.10 kg, 1836.17 kg, 1858.65kg and 1859.03 kg respectively. Although, lowest error variance and highest coefficient of determination in LSM method revealed that this method of sire evaluation was most efficient and accurate followed by BLUP method of sire evaluation but the CC method was the best for discrimination amongst sires as revealed from highest range of breeding values. Higher rank correlation (0.98) between LSM and BLUP methods of sire evaluation indicated that there was higher degree of similarity of ranking of the sires by both the methods of sire evaluation.

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Available abstract

First lactation records (91) of Tharparkar cows, progeny of 10 sires, were analyzed to estimate the variance components and breeding values of sires for first lactation milk yield using simple daughter’s average method ( ), Contemporary comparison method (CC), least-squares method (LSM) and best linear unbiased prediction (BLUP). Using , CC, LSM and BLUP methods of sire evaluation the average breeding value of sires were 1849.10 kg, 1836.17 kg, 1858.65kg and 1859.03 kg respectively. Although, lowest error variance and highest coefficient of determination in LSM method revealed that this method of sire evaluation was most efficient and accurate followed by BLUP method of sire evaluation but the CC method was the best for discrimination amongst sires as revealed from highest range of breeding values. Higher rank correlation (0.98) between LSM and BLUP methods of sire evaluation indicated that there was higher degree of similarity of ranking of the sires by both the methods of sire evaluation.

Key concepts: Sire, Best linear unbiased prediction, Statistics, Mathematics, Animal science, Biology, Selection (genetic algorithm), Computer science

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