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The use of DEBV obtained with a binary trait model was considered to be a powerful approach for traits like cryptorchidism and hernia, which have a low incidence and for which affected animals are generally not genotyped [ 10].
The use of DEBV in combination with a binary trait model was a powerful approach to detect regions associated with difficult traits such as cryptorchidism and scrotal/inguinal hernia that have a low incidence and for which affected animals are generally not available for genotyping.
The use of DEBV in combination with a binary trait model was found to be a powerful approach for the GWAS of difficult traits such as cryptorchidism and hernia that have a low incidence and for which affected animals are generally not available for genotyping.
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A binary single trait animal model was used to estimate heritabilities and EBV by restricted maximum likelihood methodology implemented in the software ASReml [ 13].
First year survival is a binary trait and was thus analysed in a generalised linear mixed model with binomial errors and a logit link function using Genstat Thirteenth Edition.
Individual survival (binary trait: alive/dead) was subsequently analyzed for all contemporary combinations using a GLM, with the factors host line, parasite source and selection regime, but all possible interactions were kept in the model.
In this work a complete probability model for binary trait data is developed allowing for unbiased estimation of both penetrance and recombination between a genetic marker locus and a binary trait locus for backcross and F2 experimental designs.
This paper concentrates on a model where residuals associated with liabilities of the binary traits are assumed to be independent.
Genetic evaluations of binary traits are expected to be most accurate at intermediate frequencies [ 8].
The binary model is described as: y = β1 b + e, where y refers to the trait level (BMI or lipid level) per individual after adjusting for age and sex, b is a binary feature, β1 is the estimated effect for the binary effect, and e represents the residuals.
This binary trait was analysed for 8338 lambs using a threshold animal mixed model.
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