Mostrando ítems 1-10 de 20
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 ...
IBFIELDBOOK, an integrated breeding field book for plant breeding
The development of an integrated breeding field book (IBFieldbook) for different crops involves the generation, handling and analysis of large amounts of data. Managing the integration of environmental, pedigree, and ...
Linear, bilinear, and linear-bilinear fixed and mixed models for analyzing genotype × environment interaction in plant breeding and agronomy
The purpose of this manuscript is to review various statistical models for analyzing genotype × environment interaction (GE). The objective is to present parsimonious approaches other than the standard analysis of variance ...
META: A suite of sas programs to analyze multienvironment breeding trials
Multi-environment trials (METs) enable the evaluation of the same genotypes in a variety of environments and management conditions. We present here META (Multi Environment Trial Analysis), a suite of 31 SAS programs that ...
Wheat yield and tillage-straw management system year interaction explained by climatic co-variables for an irrigated bed planting system in northwestern Mexico
Wheat is an important food and income source and estimated demand for wheat in the developing world is projected to increase substantially. The objectives of this study were to gain insight into (i) the effect of tillage?straw ...
A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize ( Zea mays L.)
Despite QTL mapping being a routine procedure in plant breeding, approaches that fully exploit data from multi-trait multi-environment (MTME) trials are limited. Mixed models have been proposed both for multi-trait QTL ...