Author: Velu, Govindan
- Sparse kernel models provide optimization of training set design for genomic prediction in multiyear wheat breeding data
- Mainstreaming grain zinc and iron concentrations in CIMMYT wheat germplasm
- Bayesian multitrait kernel methods improve multienvironment genome-based prediction
- Genome-wide association study of phytic acid in wheat grain unravels markers for improving biofortification
- Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat
- Effects of glutenins (Glu-1 and Glu-3) allelic variation on dough properties and bread-making quality of CIMMYT bread wheat breeding lines
Author: Huerta Espino, Julio
- Sparse kernel models provide optimization of training set design for genomic prediction in multiyear wheat breeding data
- Bayesian multitrait kernel methods improve multienvironment genome-based prediction
- Effects of glutenins (Glu-1 and Glu-3) allelic variation on dough properties and bread-making quality of CIMMYT bread wheat breeding lines
- Breeding increases grain yield, zinc, and iron, supporting enhanced wheat biofortification
- Genome-wide association mapping indicates quantitative genetic control of spot blotch resistance in bread wheat and the favorable effects of some spot blotch loci on grain yield
- Dissecting the genetic architecture of phenology affecting adaptation of spring bread wheat genotypes to the major wheat-producing zones in India
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