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Annotation principles for open wheat data repositories
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 ...
Genome-wide association mapping for resistance to leaf rust, stripe rust and tan spot in wheat reveals potential candidate genes
Leaf rust (LR), stripe rust (YR) and tan spot (TS) are some of the important foliar diseases in wheat (Triticum aestivum L.). To identify candidate resistance genes for these diseases in CIMMYT?s (International Maize and ...
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 ...
Supplement to the book of abstracts and author index
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 ...