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
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
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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
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Identifier |
https://hdl.handle.net/11529/10548546
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Creator |
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 |
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Publisher |
CIMMYT Research Data & Software Repository Network
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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. |
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Subject |
Agricultural Sciences
Wheat Triticum aestivum Grain yield Agricultural research Genotypes |
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Language |
English
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Date |
2021-01-12
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Contributor |
Dreher, Kate
Delivering Genetic Gain in Wheat (DGGW) Feed the Future Innovation Lab for Applied Wheat Genomics Bill and Melinda Gates Foundation (BMGF) Foreign, Commonwealth and Development Office (FCDO) United States Agency for International Development (USAID) Cornell University CGIAR Research Program on Wheat (WHEAT) Global Wheat Program (GWP) CGIAR |
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Type |
Dataset
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