Abstract
The present investigation was carried out on 4,760 first lactation monthly part lactations milk yield records of 476 Sahiwal cows sired by 34 bulls maintained at National Dairy Research Institute (NDRI), Karnal over a period of 51 years (1961-2011) to predict first lactation 305-day milk yield (FL305DMY). The comparison was made between multiple linear regression analysis and artificial neural network method for prediction of first lactation 305-day milk yield in Sahiwal cows. In multiple regression method, an optimum equation having 3 variables namely PL2, PL5 and PL8 gave an accuracy of prediction of 88.80%, whereas under artificial neural network, this equation gave an accuracy of prediction of 89.29%. It was concluded that artificial neural network could be used as an alternative to multiple regression method for prediction of FL305DMY in Sahiwal cows.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
