Replication Data for: Genomic Prediction of Gene Bank Wheat Landraces
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
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Title |
Replication Data for: Genomic Prediction of Gene Bank Wheat Landraces
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Identifier |
https://hdl.handle.net/11529/10548918
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Creator |
Crossa, Jose
Jarquin, Diego Franco, Jorge Pérez-Rodríguez, Paulino Burgueño, Juan Saint Pierre, Carolina Vikram, Prashant Sansaloni, Carolina Petroli, Cesar Akdemir, Deniz Sneller, Clay Reynolds, Matthew Tattaris, Maria Payne, Thomas Guzman, Carlos Peña Bautista, Roberto Javier Wenzl, Peter Singh, Sukhwinder |
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Publisher |
CIMMYT Research Data & Software Repository Network
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Description |
Genomic prediction methods may be used to enhance efforts to rapidly introgress traits of interest from exotic germplasm into elite materials. This study examined the performance of different genomic prediction models using genotypic and phenotypic data related to 8416 Mexican landrace accessions and 2403 Iranian landrace accessions stored in germplasm banks. The Mexican and Iranian collections were evaluated under optimal, drought, and heat conditions for several traits including the highly heritable traits, days to heading (DTH), and days to maturity (DTM). The results of the different analyses are reported in the accompanying journal article.
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Subject |
Agricultural Sciences
Plant Breeding Heading Time Maturity Time Plant Height Thousand Kernel Weight Grain Quality Agricultural research Triticum aestivum Wheat |
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Language |
English
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Date |
2023
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Contributor |
Dreher, Kate
Genetic Resources Program (GRP) Global Wheat Program (GWP) Seeds of Discovery (SeeD) Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación de Mexico (SAGARPA Mexico) MasAgro Biodiversidad (MAB) Biometrics and Statistics Unit (BSU) CGIAR |
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Type |
Experimental data
Phenotypic data Genotypic data |
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