Now showing items 1-10 of 44
Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat
Genomic selection and high-throughput phenotyping (HTP) are promising tools to accelerate breeding gains for high-yielding and climate-resilient wheat varieties. Hence, our objective was to evaluate them for predicting ...
Genomic prediction in CIMMYT maize and wheat breeding programs
(Springer Nature, 2014)
Genomic selection (GS) has been implemented in animal and plant species, and is regarded as a useful tool for accelerating genetic gains. Varying levels of genomic prediction accuracy have been obtained in plants, depending ...
Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs
(Springer Nature, 2015)
One of the most important applications of genomic selection in maize breeding is to predict and identify the best untested lines from biparental populations, when the training and validation sets are derived from the same ...
Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels
(Oxford University Press, 2021)
Author correction: a data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions
(Nature Publishing Group, 2021)
Genomic prediction with genotype by environment interaction analysis for kernel zinc concentration in tropical maize germplasm
(Genetics Society of America, 2020)
A review of deep learning applications for genomic selection
(BioMed Central, 2021)