In Japan, bulls whose daughters are in early maturity may be selected than that of daughters in late maturity. An approximate 100 000 lactation records were sampled by randomly using herd code from the dataset for the estimation of genetic parameters using random regression method (RRM). RRM with similar animal model used that of estimation in genetic parameter was applied for the whole dataset to predict breeding value in life-time production. Heritabilities declined gradually from 0.41 to 0.26 according to age of calving advancing. A random regression model applied to 305 d lactation yield by age at calving was effective to express maturity in milk production from life-time production function using gamma-type curve. The results show that recent sire selection by daughter's first lactation come to early maturity in sire's breeding value in milk production.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume , , 01.68, 2006
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