Abstract
The objective of this study was to compare the accuracy of five different lactation curve models to estimate 305 days milk yields in Friesian Holstein (FH) dairy cow at BBPTU HPT Baturraden. Appropriate lactation curve could provide useful information for genetic breeding programs, herd nutritional management, decision taking on the culling cows and milk production simulation systems. The analysis was carried out on a total of 8.167 milk yield records based on test day (TD) from first to fourth lactation from 2014 to 2017. The models compared were Wood, Yadav, Ali-Schaeffer, Wilmink, and Guo and Swalve models. The results showed that the Ali-Schaeffer’s model was the best model to predict milk production. It is known from the coefficient of determination at first, second, third, and fourth lactation respectively were 0.99156, 0.99074, 0.98985, 0.96706, correlation between predicted and observed values (r) were 0.99577, 0.99536, 0.99491, 0.98339, and Se were 0.30, 0.37, 0.38, 0.63.
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