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Genetic evaluation of calf and heifer survival in Iranian Holstein cattle using linear and threshold models
Author(s) -
Forutan M.,
Ansari Mahyari S.,
Sargolzaei M.
Publication year - 2015
Publication title -
journal of animal breeding and genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.689
H-Index - 51
eISSN - 1439-0388
pISSN - 0931-2668
DOI - 10.1111/jbg.12115
Subject(s) - sire , heritability , ice calving , herd , biology , zoology , threshold model , random effects model , linear model , restricted maximum likelihood , animal model , best linear unbiased prediction , genetic correlation , statistics , veterinary medicine , selection (genetic algorithm) , maximum likelihood , mathematics , genetic variation , genetics , lactation , pregnancy , medicine , gene , artificial intelligence , computer science , meta analysis , endocrinology
Summary Calf and heifer survival are important traits in dairy cattle affecting profitability. This study was carried out to estimate genetic parameters of survival traits in female calves at different age periods, until nearly the first calving. Records of 49 583 female calves born during 1998 and 2009 were considered in five age periods as days 1–30, 31–180, 181–365, 366–760 and full period (day 1–760). Genetic components were estimated based on linear and threshold sire models and linear animal models. The models included both fixed effects (month of birth, dam's parity number, calving ease and twin/single) and random effects (herd‐year, genetic effect of sire or animal and residual). Rates of death were 2.21, 3.37, 1.97, 4.14 and 12.4% for the above periods, respectively. Heritability estimates were very low ranging from 0.48 to 3.04, 0.62 to 3.51 and 0.50 to 4.24% for linear sire model, animal model and threshold sire model, respectively. Rank correlations between random effects of sires obtained with linear and threshold sire models and with linear animal and sire models were 0.82–0.95 and 0.61–0.83, respectively. The estimated genetic correlations between the five different periods were moderate and only significant for 31–180 and 181–365 ( r g = 0.59), 31–180 and 366–760 ( r g = 0.52), and 181–365 and 366–760 ( r g = 0.42). The low genetic correlations in current study would suggest that survival at different periods may be affected by the same genes with different expression or by different genes. Even though the additive genetic variations of survival traits were small, it might be possible to improve these traits by traditional or genomic selection.