Now showing items 1-10 of 43
Genomic prediction of genetic values for resistance to wheat rusts
Durable resistance to the rust diseases of wheat (Triticum aestivum L.) can be achieved by developing lines that have race-nonspecific adult plant resistance conferred by multiple minor slow-rusting genes. Genomic selection ...
A Bayesian decision theory approach for genomic selection
(Genetics Society of America, 2018)
Plant and animal breeders are interested in selecting the best individuals from a candidate set for the next breeding cycle. In this paper, we propose a formal method under the Bayesian decision theory framework to tackle ...
Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers
Genomic selection (GS) has become an important aid in plant and animal breeding. Multienvironment (multitrait) models allow borrowing of information across environments (traits), which could enhance prediction accuracy. ...
Biplot analysis of genotype x environment interaction: Proceed with caution
Biplot analysis has been used for studying genotype x environment interaction (GE) or any two-way table. Its descriptive and visualization capabilities along with the availability of user-friendly software have enabled ...
Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers
The availability of dense molecular markers has made possible the use of genomic selection (GS) for plant breeding. However, the evaluation of models for GS in real plant populations is very limited. This article evaluates ...
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 ...
Using factor analytic models for joining environments and genotypes without crossover genotype x environment interaction
Genotype x environment interaction variability can be due to crossover interaction (COI) or to non-COI. Statistical methods for detecting and quantifying COI and for forming subsets of environments and/or genotypes with ...