Now showing items 1-8 of 8
Utilizing genomics and phenomics in CIMMYT wheat breeding
Breeding-assisted genomics: applying meta- GWAS for milling and baking quality in CIMMYT wheat breeding program
(Public Library of Science, 2018)
One of the biggest challenges for genetic studies on natural or unstructured populations is the unbalanced datasets where individuals are measured at different times and environments. This problem is also common in crop ...
Single-step genomic and pedigree genotype x environment interaction models for predicting wheat lines in international environments
(Crop Science Society of America, 2017)
Genomic prediction models have been commonly used in plant breeding but only in reduced datasets comprising a few hundred genotyped individuals. However, pedigree information for an entire breeding population is frequently ...
Identification of genomic regions for grain yield and yield stability and their epistatic interactions
(Nature Publishing, 2017)
The task of identifying genomic regions conferring yield stability is challenging in any crop and requires large experimental data sets in conjunction with complex analytical approaches. We report findings of a first attempt ...
Genomic selection for processing and end-use quality traits in the CIMMYT spring bread wheat breeding program
(Crop Science Society of America, 2016)
Wheat (Triticum aestivum L.) cultivars must possess suitable end-use quality for release and consumer acceptability. However, breeding for quality traits is often considered a secondary target relative to yield largely ...
Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat
(Genetics Society of America, 2019)
Hyperspectral reflectance phenotyping and genomic selection are two emerging technologies that have the potential to increase plant breeding efficiency by improving prediction accuracy for grain yield. Hyperspectral cameras ...