Accurate prediction of lactation yield in Murrah buffalo using Test Day recording
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Authors
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Vikas Vohra
ICAR-National Dairy Research Institute - Karnal (132001) Haryana
Keywords:
Buffalo, Test Day, Linear model, MurrahAbstract
Accurate estimation of lactation yield under field conditions limits the pace of selection and genetic improvement in Indian buffaloes. Monthly test day records can predict the standard lactation yield. In the present study, daily lactation yield data from first and second lactation were used to identify the minimum number of test-day records, which can be used to predict the total lactation yield with accuracy and maximum correlation with actual lactation yield in Murrah buffaloes. Seventeen general linear models were developed using monthly test-day records and significant days of lactation. A combination of significant days identified from the test-day model and the principal component analysis based significant days were used to build the final best fit model, in the predicted data set the model showed the comparatively lower RMSE (471.78) and higher R2 of 0.67. Our model showed a high correlation coefficient of 0.82 with the test-day interval method of the International Council of Animal Recording for predicted lactation yield
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