Dataset / Tabular

Replication Data for: Genomic Prediction of Gene Bank Wheat Landraces

author(s) 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
from International Maize and Wheat Improvement Center (CIMMYT)
permalink open
themes
regions
  • Southern Asia
  • Asia
  • World
citation

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, 2023, "Replication Data for: Genomic Prediction of Gene Bank Wheat Landraces", https://hdl.handle.net/11529/10548918, CIMMYT Research Data & Software Repository Network, V1

Publications and datasets provided via GARDIAN

Abstract

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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