Alteration models to prodict lactation curves for dairy cows |
H. Sudarwati, T. Djoharjani, M. N. M. Ibrahim |
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Abstract |
Lactation curves of dairy cows were generated using three models, namely; incomplete gamma function(model 1), polynomial inverse function(model 2) and non-linear regression(model 3). Secondary milk yield data of 27 cows which had completed 6 lactations were used in this study. Milk yield records(once a week) throughout the lactation and from the first three months of lactation were fitted to the models. Estimation of total milk yield by model 3 using the data once a week throughout the lactation resulted in smaller % bias and standard error than those generated from model 1 and 2. But, model 2 was more accurate in predicting the 305-day milk yield equivalent closer to actual yields with smaller bias % and error using partial records up to 3 months. Also, model 2 was able to estimate the time to reach peak yield close to the actual data using partial records and model 2 could be used as a tool to advise farmers on appropriate feeding and management practices to be adopted. |
Keywords:
Models; Lactation Curves; Cows |
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