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Application of single‐step genomic best linear unbiased prediction with a multiple‐lactation random regression test‐day model for Japanese Holsteins
Author(s) -
Baba Toshimi,
Gotoh Yusaku,
Yamaguchi Satoshi,
Nakagawa Satoshi,
Abe Hayato,
Masuda Yutaka,
Kawahara Takayoshi
Publication year - 2017
Publication title -
animal science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 38
eISSN - 1740-0929
pISSN - 1344-3941
DOI - 10.1111/asj.12760
Subject(s) - best linear unbiased prediction , linear regression , lactation , reliability (semiconductor) , random effects model , statistics , dairy cattle , mathematics , holstein cattle , regression , regression analysis , linear model , brown swiss , zoology , selection (genetic algorithm) , biology , genetics , medicine , computer science , power (physics) , physics , meta analysis , quantum mechanics , artificial intelligence , pregnancy
This study aimed to evaluate a validation reliability of single‐step genomic best linear unbiased prediction (ssGBLUP) with a multiple‐lactation random regression test‐day model and investigate an effect of adding genotyped cows on the reliability. Two data sets for test‐day records from the first three lactations were used: full data from February 1975 to December 2015 (60 850 534 records from 2 853 810 cows) and reduced data cut off in 2011 (53 091 066 records from 2 502 307 cows). We used marker genotypes of 4480 bulls and 608 cows. Genomic enhanced breeding values (GEBV) of 305‐day milk yield in all the lactations were estimated for at least 535 young bulls using two marker data sets: bull genotypes only and both bulls and cows genotypes. The realized reliability ( R 2 ) from linear regression analysis was used as an indicator of validation reliability. Using only genotyped bulls, R 2 was ranged from 0.41 to 0.46 and it was always higher than parent averages. The very similar R 2 were observed when genotyped cows were added. An application of ssGBLUP to a multiple‐lactation random regression model is feasible and adding a limited number of genotyped cows has no significant effect on reliability of GEBV for genotyped bulls.