Author: Singh, Ravi P.
- 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
- Genomic selection for wheat blast in a diversity panel, breeding panel and full-sibs panel
- Bayesian multitrait kernel methods improve multienvironment genome-based prediction
- Genome-wide association study of phytic acid in wheat grain unravels markers for improving biofortification
- Breeding increases grain yield, zinc, and iron, supporting enhanced wheat biofortification
Author: Poland, Jesse A.
- Sparse kernel models provide optimization of training set design for genomic prediction in multiyear wheat breeding data
- Genomic selection for wheat blast in a diversity panel, breeding panel and full-sibs panel
- Bayesian multitrait kernel methods improve multienvironment genome-based prediction
- 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
- Genomic selection for spot blotch in bread wheat breeding panels, full-sibs and half-sibs and index-based selection for spot blotch, heading and plant height
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