Buscar
Mostrando ítems 1-7 de 7
Article
Article
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
(Oxford University Press, 2023)
Article
Breeding increases grain yield, zinc, and iron, supporting enhanced wheat biofortification
(John Wiley and Sons Inc, 2022)
Article
Sparse kernel models provide optimization of training set design for genomic prediction in multiyear wheat breeding data
(John Wiley & Sons Inc., 2022)
Article
Progress towards genetics and breeding for minor genes based resistance to Ug99 and other rusts in CIMMYT high yielding spring wheat
(Elsevier, 2014)
Wheat rusts continue to cause significant losses worldwide despite major efforts given to their genetic control. This is due to frequent evolution and selection of virulence in pathogen overcoming the deployed race-specific ...
Article
Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat
(Springer, 2019)
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 ...
Article
Genetic gains for grain yield in CIMMYT’s semi-arid wheat yield trials grown in suboptimal environments
(Crop Science Society of America (CSSA), 2018)
Wheat (Triticum aestivum L.) is a major staple food crop grown worldwide on >220 million ha. Climate change is regarded to have severe effect on wheat yields, and unpredictable drought stress is one of the most important ...