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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
 
Identifier https://hdl.handle.net/11529/10548918
 
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
 
Publisher CIMMYT Research Data & Software Repository Network
 
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.
 
Subject Agricultural Sciences
Plant Breeding
Heading Time
Maturity Time
Plant Height
Thousand Kernel Weight
Grain Quality
Agricultural research
Triticum aestivum
Wheat
 
Language English
 
Date 2023
 
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
 
Type Experimental data
Phenotypic data
Genotypic data