Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat
Type:
Title:
Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat
Creator:
Shahi, D.;
Jia Guo;
Pradhan, S.;
Afridi, K.;
Avci, M.;
Khan, N.;
McBreen, J.;
Guihua Bai;
Reynolds, M.P.;
https://orcid.org/0000-0002-4291-4316
Scopus ID
Researcher ID
Items in this Repository
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Foulkes, M.J.;
Babar, A.
Jia Guo;
Pradhan, S.;
Afridi, K.;
Avci, M.;
Khan, N.;
McBreen, J.;
Guihua Bai;
Reynolds, M.P.;

Reynolds, M.P.



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Foulkes, M.J.;
Babar, A.
Year:
2022
Copyright:
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Journal:
BMC Genomics
Journal volume:
23
Journal issue:
1
Article number:
298
Place of Publication:
London (United Kingdom)
Publisher:
BioMed Central
Citation:
Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat. 2022. 23 (1) DOI: 10.1186/s12864-022-08487-8 BioMed Central.
Related Datasets
CGIAR Initiatives
Initiative:
Accelerated Breeding
Impact Area:
Nutrition, health & food security
Action Area:
Genetic Innovation
Donor or Funder:
CGIAR Trust Fund
United States Department of Agriculture
United States Department of Agriculture
CGSpace URL: