Replication Data for: Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines

A large-scale genome-wide association study was carried out to dissect the genetic architecture of wheat grain yield potential and stress-resilience. Based on the findings, grain yield-associated marker profiles were generated for a large panel of 73,142 wheat lines and the grain-yield favorable allele frequencies were also determined. The marker profile data are presented in this dataset.

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Main Authors: Juliana, Philomin, Singh, Ravi, Poland, Jesse, Shrestha, Sandesh, Huerta Espino, Julio, Govindan, Velu, Mondal, Suchismita, Crespo Herrera, Leonardo Abdiel, Kumar, Uttam, Joshi, Arun Kumar, Payne, Thomas, Bhati, Pradeep Kumar, Tomar, Vipin, Consolacion, Franjel, Campos Serna, Jaime Amador
Other Authors: Dreher, Kate
Format: Genotypic data biblioteca
Language:English
Published: CIMMYT Research Data & Software Repository Network 2021
Subjects:Agricultural Sciences, Wheat, Triticum aestivum, Grain yield, Agricultural research, Genotypes,
Online Access:https://hdl.handle.net/11529/10548546
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spelling dat-cimmyt-11529105485462023-08-04T01:00:04ZReplication Data for: Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lineshttps://hdl.handle.net/11529/10548546Juliana, PhilominSingh, RaviPoland, JesseShrestha, SandeshHuerta Espino, JulioGovindan, VeluMondal, SuchismitaCrespo Herrera, Leonardo AbdielKumar, UttamJoshi, Arun KumarPayne, ThomasBhati, Pradeep KumarTomar, VipinConsolacion, FranjelCampos Serna, Jaime AmadorCIMMYT Research Data & Software Repository NetworkA large-scale genome-wide association study was carried out to dissect the genetic architecture of wheat grain yield potential and stress-resilience. Based on the findings, grain yield-associated marker profiles were generated for a large panel of 73,142 wheat lines and the grain-yield favorable allele frequencies were also determined. The marker profile data are presented in this dataset.Agricultural SciencesWheatTriticum aestivumGrain yieldAgricultural researchGenotypesEnglish2021Dreher, KateDelivering Genetic Gain in Wheat (DGGW)Feed the Future Innovation Lab for Applied Wheat GenomicsBill and Melinda Gates Foundation (BMGF)Foreign, Commonwealth and Development Office (FCDO)United States Agency for International Development (USAID)Cornell UniversityCGIAR Research Program on Wheat (WHEAT)Global Wheat Program (GWP)CGIARGenotypic dataExperimental data
institution CIMMYT
collection Dataverse
country México
countrycode MX
component Datos de investigación
access En linea
En linea
databasecode dat-cimmyt
tag biblioteca
region America del Norte
libraryname Centro Internacional de Mejoramiento de Maíz y Trigo
language English
topic Agricultural Sciences
Wheat
Triticum aestivum
Grain yield
Agricultural research
Genotypes
Agricultural Sciences
Wheat
Triticum aestivum
Grain yield
Agricultural research
Genotypes
spellingShingle Agricultural Sciences
Wheat
Triticum aestivum
Grain yield
Agricultural research
Genotypes
Agricultural Sciences
Wheat
Triticum aestivum
Grain yield
Agricultural research
Genotypes
Juliana, Philomin
Singh, Ravi
Poland, Jesse
Shrestha, Sandesh
Huerta Espino, Julio
Govindan, Velu
Mondal, Suchismita
Crespo Herrera, Leonardo Abdiel
Kumar, Uttam
Joshi, Arun Kumar
Payne, Thomas
Bhati, Pradeep Kumar
Tomar, Vipin
Consolacion, Franjel
Campos Serna, Jaime Amador
Replication Data for: Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
description A large-scale genome-wide association study was carried out to dissect the genetic architecture of wheat grain yield potential and stress-resilience. Based on the findings, grain yield-associated marker profiles were generated for a large panel of 73,142 wheat lines and the grain-yield favorable allele frequencies were also determined. The marker profile data are presented in this dataset.
author2 Dreher, Kate
author_facet Dreher, Kate
Juliana, Philomin
Singh, Ravi
Poland, Jesse
Shrestha, Sandesh
Huerta Espino, Julio
Govindan, Velu
Mondal, Suchismita
Crespo Herrera, Leonardo Abdiel
Kumar, Uttam
Joshi, Arun Kumar
Payne, Thomas
Bhati, Pradeep Kumar
Tomar, Vipin
Consolacion, Franjel
Campos Serna, Jaime Amador
format Genotypic data
topic_facet Agricultural Sciences
Wheat
Triticum aestivum
Grain yield
Agricultural research
Genotypes
author Juliana, Philomin
Singh, Ravi
Poland, Jesse
Shrestha, Sandesh
Huerta Espino, Julio
Govindan, Velu
Mondal, Suchismita
Crespo Herrera, Leonardo Abdiel
Kumar, Uttam
Joshi, Arun Kumar
Payne, Thomas
Bhati, Pradeep Kumar
Tomar, Vipin
Consolacion, Franjel
Campos Serna, Jaime Amador
author_sort Juliana, Philomin
title Replication Data for: Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
title_short Replication Data for: Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
title_full Replication Data for: Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
title_fullStr Replication Data for: Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
title_full_unstemmed Replication Data for: Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
title_sort replication data for: elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
publisher CIMMYT Research Data & Software Repository Network
publishDate 2021
url https://hdl.handle.net/11529/10548546
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