我国荷斯坦青年公牛基因组选择效果分析

doi:10.11843/j.issn.0366-6964.2021.06.010

Abstract

Abstract: Based on the results of genome genetic evaluation and dairy herd improvement (DHI) data of Holstein cows in China, this study aimed to validate the effects of genomic selection of Holstein bulls in China. Based on the genomic evaluation results of 1 686 bulls calculated in December 2019 and their daughters' phenotypic values of milk production and type traits, by using R software and Excel, the correlation between genomic estimated breeding values (GEBVs) and progeny testing results was analyzed, and the daughters' phenotypic values among the different groups for GEBVs was compared. The correlation analysis results showed that the genomic China performance index (GCPI) values of Holstein young bulls were positively correlated with the China performance index (CPI) values of progeny (r_s>0.3). Highly positive correlations (0.4 < r_s < 0.8) between the GEBVs and EBVs for milk yield and somatic cell score (SCS) were observed. Analysis of the daughter's phenotype data showed that the trends of daughters' phenotypic values in milk yield, milk protein percentage, milk fat percentage and feet and legs score were consistent with the GEBVs grouping of bulls, the phenotypic values of daughters of the most traits were significantly different among the GEBV groups of bulls (P<0.01). The trends between GEBV grouping of bulls and phenotypic values of daughter for milk yield, SCS and feet and legs score in Beijing and Shanghai regions were more consistent than that in other provinces, the differences between the highest and lowest GEBV groups in Beijing and Shanghai regions were higher than those in other regions. Based on the genomic selection results of 1 686 Holstein bulls and the phenotypic data of their daughters, it was found that the genomic selection of Holstein young bulls in China was effective, in which the phenotypic data of milk yield, milk protein percentage, SCS and feet and legs score better presented the effects of genomic selection. The data from Beijing and Shanghai regions can better reflect the effects of genomic selection than that from other provinces, likely due to their better performance testing data.

Key words: Chinese Holstein cattle, genetic evaluation, progeny testing, genomic selection, phenotypic data of daughters

CLC Number:

S823.2

SU Dingran, PENG Peng, YAN Qingxia, CHEN Shaohu, ZHANG Shengli, LI Jiao, LIU Chousheng, SUN Dongxiao. Analysis of the Effects for Genomic Selection in Holstein Young Bulls in China[J]. Acta Veterinaria et Zootechnica Sinica, 2021, 52(6): 1550-1562.

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Analysis of the Effects for Genomic Selection in Holstein Young Bulls in China

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