Now showing items 1-10 of 29
Partner survey for the CGIAR Research Program WHEAT: national and international priorities and engagement
This document analyzes 92 responses to a 2012 survey sent by the CGIAR Research Program WHEAT to its more than 200 partners regarding their institutional priorities, engagement and activities under WHEAT strategic initiatives, ...
User's guide for spatial analysis of field variety trials using ASREML
This manual describes an approach to the spatial analysis of field experiments based on the software package AS residual maximum likelihood (ASREML; Gilmour et al. 1999). It describes common sources of spatial variation ...
The AMMI analysis and graphing the biplot
Maize production environments revisited: A GIS-based approach
This publication presents a GIS-based approach for revising the descriptions of global maize production environments, called "mega-environments" (MEs), used by CIMMYT and its partners. A cluster analysis was performed on ...
Effect of leaf rust on grain yield and yield traits of durum wheats with race-specific and slow-rusting resistance to leaf rust
(American Phytopathological Society (APS), 2006)
Leaf rust, caused by Puccinia triticina, is an important disease of durum wheat (Triticum turgidum) in many countries. We compared the effectiveness of different types of resistance in International Maize and Wheat Improvement ...
META: A suite of sas programs to analyze multienvironment breeding trials
(American Society of Agronomy, 2013)
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 ...
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 ...
QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance
Despite numerous published reports of quantitative trait loci (QTL) for drought-related traits, practical applications of such QTL in maize improvement are scarce. Identifying QTL of sizeable effects that express more or ...
Genome-enabled prediction of genetic values using radial basis function neural networks
The availability of high density panels of molecular markers has prompted the adoption of genomic selection (GS) methods in animal and plant breeding. In GS, parametric, semi-parametric and non-parametric regressions models ...