Mostrando ítems 1-10 de 218
Genomic prediction in a large African maize population
Genomic prediction (GP) combines genomewide marker data with phenotypic data in a training population to predict the genomic estimated breeding values of untested individuals in a relevant testing population. Our objective ...
A bayesian genomic regression model with skew normal random errors
(Genetics Society of America, 2018)
Genomic selection (GS) has become a tool for selecting candidates in plant and animal breeding programs. In the case of quantitative traits, it is common to assume that the distribution of the response variable can be ...
The AMMI analysis and graphing the biplot
Prediction assessment of linear mixed models for multienvironment trials
Fixed linear models have been used for describing genotype × environment interaction (GE). Previous attempts have been made to assess the predictive ability of some linear mixed models when GE components are treated as ...
Genomic selection and prediction in plant breeding
The availability of thousands of genome-wide molecular markers has made possible the use of genomic selection in plants and animals. However, the evaluation of models for genomic selection in plant breeding populations ...
Multi-trait Multi-environment Genome-wide molecular marker selection indices
Molecular selection indices such as the molecular eigen selection index method (MESIM) and other molecular marker score selection indices maximize the selection response by combining information on molecular markers linked ...
Genetic gains in grain yield of a maize population improved through marker assisted recurrent selection under stress and non-stress conditions in West Africa
Marker-assisted recurrent selection (MARS) is a breeding method used to accumulate favorable alleles that for example confer tolerance to drought in inbred lines from several genomic regions within a single population. A ...