Effects of Number of Incomplete Data in Latest Generation on the Breeding Value Estimated by Random Regression Model
2006
Cho, K.H. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea) | Na, S.H. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea) | Park, B.H. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea) | Choi, J.G. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea) | Seo, K.S. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea) | Lee, Y.C. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea) | Park, J.D. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea) | Son, S.K. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea) | Salces, A.J. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea) | Kim, K.S. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea), E-mail: [email protected]
The data were collected in the dairy herd improvement program from January 2000 to July 2005. Test data included 825,157 records of first parity and animals with both parents known were included. This study aimed to describe the effects of incomplete lactation records of latest generation to the change in sire´s breeding value using Random Regression model (RRM) in genetic evaluation. Estimation of genetic parameter and breeding value using Random Regression model (RRM) in genetic evaluation. Estimation of genetic parameter and breeding value for sire used REMLF90 program.
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