Comparison of repeatability, multiple-trait and random regression models for estimation of genetic parameters of days from calving to first service in Iranian Holstein cattle

Author(s):

Rostam Abdolahiarpanahi *

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
In order to estimate the genetic parameters for days from calving to first service (DFS) in Iranian Holstein cattle by using repeatability, multiple-trait (MT) and random regression (RR) models, 159,482 records of parities 1 to 6 collected during 1981 to 2013 and distributed over 33 large Holstein herds were used. Bayesian information criterion of MT model was lower than other models and Bayesian factor of MT model was significant compared to other models (P
Keywords:

Fertility , Genetic evaluation , Genetic parameters , Holstein cattle

Language:
Persian
Published:
Journal of Animal Productions, Volume:19 Issue: 2, 2017
Pages:
255 to 264
https://magiran.com/p1800831