NDRI Quinquennium Book COVER FINAL CURVE.cdr

3000 kg of milk in a lactation. Presently, 14% Sahiwalcows have their best lactation 305 day milk yields of 3000kg and above.••Highest yielding buffalo namely Karankeerti has produceda peak yield of 23.3 kg in a day and produced 4428 kgof milk in a lactation period of 427 days during her firstlactation. This record holder buffalo is the daughter ofMurrah bull no. 4915, which has been declared proven bullunder Set VII.••The performance recording including information on daily,weekly and monthly test day milk yields and part lactationFig. Observed and predicted WTDMYs (kg) for inverse polynomialfunction in Sahiwal cattlerecords of the daughters of Sahiwal, KF and Murrahbulls was done. The test day lactation curve models weredeveloped using daily, weekly and monthly test day milkyields and part lactation records for predicting monthly andtotal lactation milk yields in organized herds and underfield conditions.••Two sets each of Sahiwal (11 bulls) and KF (17 bulls) andthree sets of Murrah bulls (43 bulls) were evaluated duringthe period. Out of these bulls, 4 Sahiwal, 5 KF and 3Murrah bulls were selected as proven bulls with their EBVsranging from 1641-1917 kg, 3228-4144 kg and 1972-2116kg, respectively; while their superiority over herd averageranged from 9.33-27.73%, 12.00-16.70% and 8.41-17.26%,respectively.••During 2007-2011, a total of 2152 KF and 2325 Murrahfemale progeny were born from bulls under field conditions.••The growth bands were constructed for male and femalecalves using 26 weeks body weight in Sahiwal calves.Average daily weight gain from birth to twenty six weeks (6months) of age was 339 g/day in female calves and 333.5 g/day in male calves.••The different methods of sire evaluation namelycontemporary comparison, least squares, simple regressedleast squares, BLUP and DFREML were used to evaluatesires. The single trait DFREML was more efficient thanmulti trait DFREML for estimating the breeding value ofSahiwal sires for FL305DMY, individual third month milkyield and cumulative 90 days milk yield.••For prediction of first lactation 305-day milk yield inSahiwal cattle, Multiple Linear Regression (MLR) andArtificial Neural Network (ANN) models were developedusing body weights at different ages as independentvariables and FL305DMY as dependent variable andthe accuracy of fitting both models was compared. It wasinterpreted that ANN was comparatively more accurate topredict FL305DMY using body weights in Sahiwal cattle.TheQuinquennium Golden2007-20129