Browse > Article
http://dx.doi.org/10.5187/JAST.2013.55.5.399

Approximation of Multiple Trait Effective Daughter Contribution by Dairy Proven Bulls for MACE  

Cho, Kwang-Hyun (National Institute of Animal Science, R.D.A.)
Choi, Tae-Jeong (National Institute of Animal Science, R.D.A.)
Cho, Chung-Il (National Institute of Animal Science, R.D.A.)
Park, Kyung-Do (Genomic Informatics Center, Hankyong National University)
Do, Kyoung-Tag (Genomic Informatics Center, Hankyong National University)
Oh, Jae-Don (Genomic Informatics Center, Hankyong National University)
Lee, Hak-Kyo (Genomic Informatics Center, Hankyong National University)
Kong, Hong-Sik (Genomic Informatics Center, Hankyong National University)
Lee, Joon-Ho (Genomic Informatics Center, Hankyong National University)
Publication Information
Journal of Animal Science and Technology / v.55, no.5, 2013 , pp. 399-403 More about this Journal
Abstract
This study was conducted to investigate the basic concept of multiple trait effective daughter contribution (MTEDC) for dairy cattle sires and calculate effective daughter contribution (EDC) by applying a five lactation multiple trait model using milk yield test records of daughters for the Multiple-trait Across Country Evaluation (MACE). Milk yield data and pedigree information of 301,551 cows that were the progeny of 2,046 Korean and imported dairy bulls were collected from the National Agricultural Cooperative Federation and used in this study. For MTEDC approximation, the reliability of the breeding value was separated based on parents average, own yield deviation and mate adjusted progeny contribution. EDC was then calculated by lactation using these reliabilities. The average number of recorded daughters per sire by lactations were 140.57, 94.24, 55.14, 29.20 and 14.06 from the first to fifth lactation, respectively. However, the average EDC per sire by lactation using the five lactation multiple trait model was 113.49, 89.28, 73.56, 54.02 and 35.08 from the first to fifth lactation, respectively, while the decrease of EDC in late lactations was comparably lower than the average number of recorded daughters per sire. These findings indicate that the availability of daughters without late lactation records is increased by genetic correlation using the multiple trait model. Owing to the relatedness between the EDC and reliability of the estimated breeding value for sire, understanding the MTEDC algorithm and continuous monitoring of EDC is required for correct MACE application of the five lactation multiple trait model.
Keywords
EDC; MACE; Multiple trait model; Breeding value; Milk yield;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Cho, K. H., Park, B. H., Choi, J. K., Choi, T. J., Choy, Y. H., Lee, S. S. and Cho, C. I. 2013a. Development of International Genetic Evaluation Models for Dairy Cattle. J. Anim. Sci. & Tech., 55(1) 1-6.
2 Cho, C. I., Cho, K. H., Choy, Y. H., Choi, J. K., Choi, T. J., Park, B. H. and Lee, S. S. 2013b. Estimation of Genetic Parameters for Milk Production Traits in Holstein Dairy Cattle. J. Anim. Sci. & Tech. 55(1) 7-11.
3 Fikse, W. F. and Banos, G. 2001. Weighting Factors of Sire Daughter Information in International Genetic Evaluations. J. Dairy Sci. 84:1759-1767.   DOI   ScienceOn
4 Harris, B. and Johnson D. 1998. Approximate Reliability of Genetic Evaluations Under an Animal Model. J. Dairy Sci. 81:2723-2728.   DOI   ScienceOn
5 Jamrozik, J., Schaeffer, L. R. and Jansen, G. B. 2000. Approximate Accuracies of Prediction from Random Regression Models. Livest. Prod. Sci. 66:85-92.   DOI   ScienceOn
6 Liu, Z., Reinhardt, F. and Reents, R. 2001. The Effective Daughter Contribution Concept Applied to Multiple Trait Models For Approximating Reliability of Estimated Breeding Values. Interbull Bulletin 27, 41-47.
7 Liu, Z., Reinhardt, F. and Reents, R. 2004. Derivation and Calculation of Approximate Reliabilities and Daughter Yield-Deviations of a Random Regression Test-Day Model for Genetic Evaluation of Dairy Cattle. J. Dairy Sci. 87:1896-1907.   DOI   ScienceOn
8 Schaeffer, L. R. 1994. Multiple-Country Comparison of Dairy Sires. J. Dairy Sci. 77:2671-2678.   DOI   ScienceOn
9 VanRaden, P. M. and Wiggans, G. R. 1991. Derivation, Calculation, and Use of National Animal Model Information. J. Dairy Sci. 74:2737-2746.   DOI   ScienceOn
10 VanRaden, P. M. 2001. Methods to Combine Estimated Breeding Values Obtained from Separate Sources. J. Dairy Sci. 84(E. Suppl.):E47-E55.   DOI   ScienceOn
11 Interbull. 2013. Interbull Routine Genetic Evaluation for Dairy Production Traits. http://www-interbull.slu.se/eval/framesida-prod.htm