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Asian-Australas J Anim Sci > Accepted Articles
DOI: https://doi.org/10.5713/ajas.19.0546    [Accepted] Published online December 24, 2019.
The effectiveness of genomic selection for milk production traits of Holstein dairy cattle
Jong Joo Kim1,*  , Yun-Mi Lee1  , Mohammad Z Alam1  , Chang-Gwon Dang2  , Kwang-Hyeon Cho3  , Kyung-Do Park4 
1Yeungnam University, Gyeongsan, Korea
2National Institute of Animal Science, RDA, Cheonan, Korea
3Korea National College of Agriculture and Fisheries, Jeongju, Korea
4Chonbuk National University, Jeonju, Korea
Correspondence:  Jong Joo Kim, Tel: +82-53-810-3027, Fax: +82-53-801-3027, Email: kimjj@yumail.ac.kr
Received: 5 July 2019   • Revised: 16 September 2019   • Accepted: 25 November 2019
Abstract
Objective
This study was conducted to test the efficiency of genomic selection for milk production traits in a Korean Holstein cattle population.
Methods
A total of 506,481 milk production records from 293,855 animals (2,090 heads with SNP information) were used to estimate breeding value by single step best linear unbiased prediction (ssBLUP).
Results
The heritability estimates for milk, fat, and protein yields in the first parity were 0.28, 0.26, and 0.23, respectively. As the parity increased, the heritability decreased for all milk production traits. The estimated generation intervals of sire for the production of bulls (LSB) and that for the production of cows (LSC) were 7.9 and 8.1 years, respectively, and the estimated generation intervals of dams for the production of bulls (LDB) and cows (LDC) were 4.9 and 4.2 years, respectively. In the overall data set, the reliability of genomic estimated breeding value (GEBV) increased by 9% on average over that of EBV, and increased by 7% in cows with test records, about 4% in bulls with progeny records, and 13% in heifers without test records. The difference in the reliability between GEBV and estimated breeding value (EBV) was especially significant for the data from young bulls, i.e. 17% on average for milk (39 vs. 22%), fat (39 vs. 22%), and protein (37 vs. 22%) yields, respectively. When selected for the milk yield using GEBV, the genetic gain increased about 7.1% over the gain with the EBV in the cows with test records, and by 2.9% in bulls with progeny records, while the genetic gain increased by about 24.2% in heifers without test records and by 35% in young bulls without progeny records.
Conclusion
More genetic gains can be expected through the use of GEBV than EBV, and genomic selection was more effective in the selection of young bulls and heifers without test records.
Keywords: Generation Interval; Genomic Estimated Breeding Value (GEBV); Heritability; Milk Production Traits; Reliability


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