Mostrando ítems 1-10 de 42
Training at CIMMYT
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 ...
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 ...
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
(BioMed Central, 2017)
Background: Modern agriculture uses hyperspectral cameras to obtain hundreds of reflectance data measured at discrete narrow bands to cover the whole visible light spectrum and part of the infrared and ultraviolet light ...
CIMMYT Reseña de la investigacion 1984
This publication highlights CIMMYT Maize, Wheat, and Economics Research Programs. Research activities included in this report are: approaches for developing resistance to maize streak virus in Africa, a method of breeding ...
Genomic prediction using phenotypes from pedigreed lines with no marker data
Until now, genomic prediction (GP) in plant breeding has only used information from individuals that have been genotyped. Information from nongenotyped relatives of genotyped individuals can also be used. Single-step GP ...