Now showing items 1-10 of 28
Genetic structures of the CIMMYT international yield trial targeted to irrigated environments
International yield trials are assembled by CIMMYT to disseminate promising wheat breeding materials worldwide. To assess the genomic structure and linkage disequilibrium (LD) within this germplasm, wheat lines disseminated ...
Mejoramiento de la calidad de trigo
Calidad del grano de trigo
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 ...
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 ...
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 ...
Wheat quality improvement at CIMMYT and the use of genomic selection on it
The International Center for Maize and Wheat Improvement (CIMMYT) leads the Global Wheat Program, whose main objective is to increase the productivity of wheat cropping systems to reduce poverty in developing countries. ...
Applications of machine learning methods to genomic selection in breeding wheat for rust resistance
(Crop Science Society of America, 2018)
New methods and algorithms are being developed for predicting untested phenotypes in schemes commonly used in genomic selection (GS). The prediction of disease resistance in GS has its own peculiarities: a) there is consensus ...
Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model
(Genetics Society of America, 2015)
ABSTRACT Genomic selection (GS) models use genome-wide genetic information to predict genetic values of candidates of selection. Originally, these models were developed without considering genotype · environment ...
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat
(Genetics Society of America, 2012)
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression models have been used. This study assessed the predictive ability of linear and non-linear models using dense molecular markers. The ...