BACKGROUND Genomic breeding value estimation is the key step in genomic selection. Among many approaches, BLUP methods and Bayesian methods are most commonly used for estimating genomic breeding values. Here, we applied two BLUP methods, TABLUP and GBLUP, and three Bayesian methods, BayesA, BayesB and BayesCπ, to the common dataset provided by the 15th QTL-MAS Workshop to evaluate and compare t...

A new breeding value estimation procedure for mastitis traits has been implemented in the Dutch/Flemish dairy genetic evaluation. This breeding value estimation uses incidences of subclinical mastitis together with five indicator traits derived from test day somatic cell counts to predict the breeding value for resistance against subclinical and clinical mastitis (SCM and CM, resp.). The mastit...

Rice (Oryza sativa L.) is one of the most significant cereal crops, about 3 billion people, nearly half the world's population; depend on rice for survival and it offers up to 80% of daily energy intake in most of the Asian countries. Knowledge of the distribution, extent and pattern of genetic variation is useful for estimation of any possible loss of genetic diversity and its role in breeding...

In livestock populations, missing genotypes on a large proportion of the animals is a major problem when implementing gene-assisted breeding value estimation for genes with known effect. The objective of this study was to compare different methods to deal with missing genotypes on accuracy of gene-assisted breeding value estimation for identified bi-allelic genes using Monte Carlo simulation. A...

Correct ranking of animals in across-country genetic evaluation requires careful design of both, the model for breeding value estimation and the adjustment for heterogeneous variance. The Nordic across-country genetic evaluation for yield traits of Danish, Finnish and Swedish red dairy cattle is based on a multiple-trait random regression test-day model, which considers observations from differ...

Continuous genetic evaluation of dairy cattle with test-day models is desired in Finland. However, the computing time for the genetic evaluation is 4 d and exceeds the minimum of a weekend. Three parallel implementations of the preconditioned conjugate gradient iterative solver were programmed and compared to identify the best strategy for solving mixed model equations using parallel computing....