Mostrando ítems 1-10 de 167
Prediction of multiple-trait and multiple-environment genomic data using recommender systems
(Genetis Society of America, 2018)
In genomic-enabled prediction, the task of improving the accuracy of the prediction of lines in environments is difficult because the available information is generally sparse and usually has low correlations between traits. ...
Strategic crossing of biomass and harvest index—source and sink—achieves genetic gains in wheat
To accelerate genetic gains in breeding, physiological trait (PT) characterization of candidate parents can help make more strategic crosses, increasing the probability of accumulating favorable alleles compared to crossing ...
Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data
(Biomed Central, 2017)
Modern agriculture uses hyperspectral cameras that provide hundreds of reflectance data at discrete narrow bands in many environments. These bands often cover the whole visible light spectrum and part of the infrared and ...
Utilizing genomics and phenomics in CIMMYT wheat breeding
Characterization and mapping of Leaf Rust and Stripe Rust resistance loci in hexaploid wheat lines UC1110 and PI610750 under Mexican environments
Growing resistant wheat varieties is a key method of minimizing the extent of yield losses caused by the globally important wheat leaf rust (LR) and stripe rust (YR) diseases. In this study, a population of 186 F8 recombinant ...
Strategies for selecting crosses using genomic prediction in two wheat breeding programs
The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The ...
Identification of genomic associations for adult plant resistance in the background of popular South Asian wheat cultivar, PBW343
Rusts, a fungal disease as old as its host plant wheat, has caused havoc for over 8000 years. As the rust pathogens can evolve into new virulent races which quickly defeat the resistance that primarily rely on race ...
Improving global integration of crop research
(American Association for the Advancement of Science, 2017)
Genomic and pedigree-based prediction for leaf, stem, and stripe rust resistance in wheat
(Springer-Verlag Heidelberg, 2017)
The unceasing plant-pathogen arms race and ephemeral nature of some rust resistance genes have been challenging for wheat (Triticum aestivum L.) breeding programs and farmers. Hence, it is important to devise strategies ...
Genetic yield gains in CIMMYT’s international elite Spring Wheat yield trials by modeling the Genotype X environment interaction
We calculated the annual genetic gains for grain yield (GY) of wheat (Triticum aestivum L.) achieved over 8 yr of international Elite Spring Wheat Yield Trials (ESWYT), from 2006–2007 (27th ESWYT) to 2014–2015 (34th ESWYT). ...