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A new strategy for using historical imbalanced yield data to conduct genome-wide association studies and develop genomic prediction models for wheat breeding

Crossref DOI link: https://doi.org/10.1007/s11032-022-01287-8

Published Online: 2022-03-22

Published Print: 2022-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chu, Chenggen

Wang, Shichen

Rudd, Jackie C.

Ibrahim, Amir M. H.

Xue, Qingwu

Devkota, Ravindra N.

Baker, Jason A.

Baker, Shannon

Simoneaux, Bryan

Opena, Geraldine

Dong, Haixiao

Liu, Xiaoxiao

Jessup, Kirk E.

Chen, Ming-Shun

Hui, Kele

Metz, Richard

Johnson, Charles D.

Zhang, Zhiwu S.

Liu, Shuyu https://orcid.org/0000-0003-4748-2900
Funding

Funding for this research was provided by:

National Institute of Food and Agriculture (2017-67007-25939)

National Institute of Food and Agriculture (2019-67013-29172)

National Institute of Food and Agriculture (2021-67013-33940)
License Information

Text and Data Mining valid from 2022-03-22

Version of Record valid from 2022-03-22
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Article History

Received: 31 August 2021

Accepted: 2 March 2022

First Online: 22 March 2022

Declarations

:

: The experiments comply with the ethical standards in the country in which they were performed.

: The authors declare no competing interests.

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