ICAR Research Data Repository for Knowledge Management
Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
View Archive Info| Field | Value | |
| Title |
Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models
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| Identifier |
https://hdl.handle.net/11529/10548129
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| Creator |
Basnet, Bhoja Raj
Crossa, Jose Pérez-Rodríguez, Paulino Manes, Yann Singh, Ravi Rosyara, Umesh Camarillo-Castillo, Fatima Murua, Mercedes |
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| Publisher |
CIMMYT Research Data & Software Repository Network
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| Description |
Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by environmental covariables.
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| Subject |
Agricultural Sciences
Grain yield Plant height Days to Maturity Days to Heading Days to Flowering Agricultural research Wheat Triticum aestivum |
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| Language |
English
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| Date |
2018
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| Contributor |
Dreher, Kate
CGIAR CGIAR Research Program on Wheat (WHEAT) Syngenta Global Wheat Program (GWP) Genetic Resources Program (GRP) |
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| Type |
Experimental data
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