bayesian threshold-linear model for genetic evaluation of direct and maternal calving traits in iranian primiparous holstein cattle

نویسندگان

m. s. mokhtari

m. moradi shahrbabak

a. nejati javaremi

g. j. m. rosa

چکیده

the main objective of this study was to estimate the genetic parameters for multi-trait evaluation of birth weight (bw), gestation length (gl) and calving difficulty (cd) in first-parity iranian holstein dairy cattle. the data included 29,950 calving records collected during 1995 to 2014 by the animal breeding and improvement center of iran. a threshold-linear sire-maternal grandsire model was fitted. the model included the effect of sex of calf born, age at first calving and calving month (for gl and bw) as fixed effects and sire, maternal grandsire, herd-year-season of calving and residual effects as random effects. posterior means (posterior standard deviations) of direct heritabilities were 0.12 (0.01) for bw, 0.40 (0.03) for gl and 0.07 (0.01) for cd. the maternal heritability estimates for bw, gl and cd were 0.04 (0.01), 0.07 (0.01) and 0.04 (0.01), respectively.  direct-maternal genetic correlations were -0.15 (0.04) for bw, -0.36 (0.08) for gl and -0.53 (0.14) for cd (p

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Bayesian threshold-linear model for genetic evaluation of direct and maternal calving traits in Iranian primiparous Holstein cattle

The main objective of this study was to estimate the genetic parameters for multi-trait evaluation of birth weight (BW), gestation length (GL) and calving difficulty (CD) in first-parity Iranian Holstein dairy cattle. The data included 29,950 calving records collected during 1995 to 2014 by the Animal Breeding and Improvement Center of Iran. A threshold-linear sire-maternal grandsire model was ...

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عنوان ژورنال:
journal of livestock science and technologies

ناشر: shahid bahonar university of kerman and iranian society of animal science

ISSN

دوره 3

شماره 2 2015

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