Year: 2015 | Month: June | Volume 5 | Issue 2
Prediction of Breeding Value Using Bivariate Animal Model for Repeated and Single Records
Abstract:
The present investigation was carried out on Karan Fries cows maintained at National Dairy Research Institute (NDRI), Karnal, Haryana. Data were collected on fertility and production performance spread over a period of 34 years (1978 to 2012). Breeding values estimated by univariate animal model were compared with univariate animal repeatability model on the basis of spearman’s rank correlation estimate. The rank correlation estimates ranged between 0.39 to 0.47 indicating that sires rankings on first lactation basis had moderate correlation with the rankings on the basis of breeding values estimated by repeatability model. Further the bivariate animal repeatability models viz. SP & 305MY, CI & 305MY and DPR & 305MY had lower error standard deviation 251.85, 254.92 and 249.93 kgs in comparison to bivariate animal model for single records for which the error standard deviation estimates were 281.84, 279.81 and 278.99 kgs, respectively. The error standard deviation estimates of SP & TMY, CI & TMY, DPR & TMY were 284.99, 294.35 and 285.47 kgs in comparison to bivariate animal model for single records for which the error standard deviation estimates were 272.01, 315.30 and 298.22 kgs, respectively. Results of the present study indicated that the repeatability model was superior in comparison to the animal model for single records and thus repeated records should be used for breeding value prediction in dairy cattle.
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