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Use of genomic estimated breeding values results in rapid genetic gains for drought tolerance in maize
More than 80% of the 19 million ha of maize (Zea mays L.) in tropical Asia is rainfed and prone to drought. The breeding methods for improving drought tolerance (DT), including genomic selection (GS), are geared to ...
Improving maize grain yield under drought stress and non-stress environments in Sub-Saharan Africa using marker-assisted recurrent selection
In marker-assisted recurrent selection (MARS), a subset of molecular markers significantly associated with target traits of interest are used to predict the breeding value of individual plants, followed by rapid recombination ...
Cluster analysis, an approach to sampling variability in maize accessions
Cluster analysis is frequently used to classify maize (Zen mays L.) accessions and can be used by breeders and geneticists to identify subsets of accessions which have potential utility for specific breeding or genetic ...
Heterosis and combining ability among CIMMYT's mid-altitude early to intermediate maturing maize (Zea mays L.) populations
Maize is an important food crop in sub-Saharan Africa. There is an increasing demand for early maturing maize cultivars even though long-season maize cultivars yield more than early maturing cultivars under favourable ...
Large-scale screening for maize drought resistance using multiple selection criteria evaluated under water-stressed and well-watered environments
A total of 550 maize inbred lines collected from global breeding programs were evaluated for drought resistance under both well-watered and water-stressed environments. The evaluation was based on multiple measurements of ...
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 ...