Now showing items 1-10 of 21
Gene action of canopy temperature in bread wheat under diverse environments
While canopy temperature (CT) shows a strong and reliable association with yield under drought and heat stress and is used in wheat breeding to select for yield, little is known of its genetic control. The objective of ...
Phenotyping transgenic wheat for drought resistance
Realistic experimental protocols to screen for drought adaptation in controlled conditions are crucial if high throughput phenotyping is to be used for the identification of high performance lines, and is especially important ...
Structural equation modelling for studying genotype x environment interactions of physiological traits affecting yield in wheat
In plant physiology and breeding, it is important to understand the causes of genotyperenvironment interactions (GEIs) of complex traits such as grain yield. It is difficult to study the underlying sequential biological ...
Mejoramiento de la calidad de trigo
Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure
Linkage disequilibrium can be used for identifying associations between traits of interest and genetic markers. This study used mapped diversity array technology (DArT) markers to find associations with resistance to stem ...
Pedigree-based prediction models with genotype × environment interaction in multi-environment trials of CIMMYT wheat
(Crop Science Society of America, 2017)
Genotype × environment (G × E) interaction can be studied through multienvironment trials used to select wheat (Triticum aestivum L.) lines. We used spring wheat yield data from 136 international environments to evaluate ...
Wheat genetic resources enhancement by the International Maize and Wheat Improvement Center (CIMMYT)
The International Maize and Wheat Improvement Center (CIMMYT) acts as a catalyst and leader in a global maize and wheat innovation network that serves the poor in the developing world. Drawing on strong science and effective ...
Interpreting genotype X environment interaction in wheat by partial least squares regression
The partial least squares (PLS) regression method relates genotype × environment interaction effects (GEI) as dependent variables (Y) to external environmental (or cultivar) variables as the explanatory variables (X) ...