Replication Data for: Genomic Prediction of Gene Bank Wheat Landraces

Replication Data for: Genomic Prediction of Gene Bank Wheat Landraces

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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Bibliographic Details
Main Authors: 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
Other Authors: Dreher, Kate
Format: Experimental data biblioteca
Language:English
Published: CIMMYT Research Data & Software Repository Network 2023
Subjects:Agricultural Sciences, Plant Breeding, Heading Time, Maturity Time, Plant Height, Thousand Kernel Weight, Grain Quality, Agricultural research, Triticum aestivum, Wheat,
Online Access:https://hdl.handle.net/11529/10548918
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https://hdl.handle.net/11529/10548918

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