National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Selecting animals for lifetime traits by predicting them based on first lactation traits is a useful method for economic dairy farming. This study was conducted to analyze the prediction performance of various models for prediction of lifetime performance in Sahiwal cattle. The first lactation and lifetime traits were generated from the data on milk production and fertility traits of Sahiwal cattle maintained at ICAR-National Dairy Research Institute, Karnal, India. The adjusted data was used for analysis and using two ML algorithms and also conventional MLR models; lifetime traits were predicted using first lactation traits. Results of this study revealed that most of the lifetime traits were best predicted by SVR model and also RF model. Thus, it is concluded that for prediction of lifetime traits in Sahiwal cattle, one can explore emerging ML models as an alternative to conventional MLR models.
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