(Co)variance components and genetic parameters for birth (BW) and weaning weights (WW) of Shorthorn beef cattle in Australia (AU) and the United States (US) were estimated using Restricted Maximum Likelihood. Five different uni- and bivariate models were used to fit both traits within each country. In Model 1, only a direct genetic effect (a) was fitted. In Models 2 and 3, a maternal genetic effect (m) was added. A genetic covariance between direct-maternal effects [cov(a, m)] was ignored (model 2) or included (model 3). Models 4 and 5 both m and maternal permanent environment effects (pe), were allowed from model 1, and assumed cov(a,m) in the same manner as model 2 and 3, respectively. When ignoring m effect, the direct heritability estim...
Records for birth and subsequent, monthly weights until weaning on beef calves of two breeds in a se...
The main objectives of this study were: (1) to compare quadratic and likelihood estimators of disper...
Sufficiently accounting for genotype-environment interactions would enhance genetic merit prediction...
Birth (BW) and weaning weights (WW) of Shorthorn beef cattle used to study the genotype by country (...
In one study three variants of an animal model were used to estimate variance components for birth (...
In one study three variants of an animal model were used to estimate variance components for birth (...
In one study three variants of an animal model were used to estimate variance components for birth (...
Six models to estimate genetic parameters for birth weight (BW), weaning weight adjusted to 205 days...
Variance components for weaning weight (WWT) in local Tuli cattle were estimated by Restricted Maxim...
Estimates of genetic parameters resulting from various analytical models for birth weight (BWT, n = ...
Birth (BW), weaning (WW) and yearling weight (YW) data of Boran cattle from Abernossa ranch of the M...
The objective was to compare estimates of genetic parameters resulting from different analytical mod...
The objective was to compare estimates of genetic parameters resulting from different analytical mod...
The objective was to compare estimates of genetic parameters resulting from different analytical mod...
Maternal effects have been reported using different animal models for post weaning growth traits in...
Records for birth and subsequent, monthly weights until weaning on beef calves of two breeds in a se...
The main objectives of this study were: (1) to compare quadratic and likelihood estimators of disper...
Sufficiently accounting for genotype-environment interactions would enhance genetic merit prediction...
Birth (BW) and weaning weights (WW) of Shorthorn beef cattle used to study the genotype by country (...
In one study three variants of an animal model were used to estimate variance components for birth (...
In one study three variants of an animal model were used to estimate variance components for birth (...
In one study three variants of an animal model were used to estimate variance components for birth (...
Six models to estimate genetic parameters for birth weight (BW), weaning weight adjusted to 205 days...
Variance components for weaning weight (WWT) in local Tuli cattle were estimated by Restricted Maxim...
Estimates of genetic parameters resulting from various analytical models for birth weight (BWT, n = ...
Birth (BW), weaning (WW) and yearling weight (YW) data of Boran cattle from Abernossa ranch of the M...
The objective was to compare estimates of genetic parameters resulting from different analytical mod...
The objective was to compare estimates of genetic parameters resulting from different analytical mod...
The objective was to compare estimates of genetic parameters resulting from different analytical mod...
Maternal effects have been reported using different animal models for post weaning growth traits in...
Records for birth and subsequent, monthly weights until weaning on beef calves of two breeds in a se...
The main objectives of this study were: (1) to compare quadratic and likelihood estimators of disper...
Sufficiently accounting for genotype-environment interactions would enhance genetic merit prediction...