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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.

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Title: A new strategy for using historical imbalanced yield data to conduct genome-wide association studies and develop genomic prediction models for wheat breeding.
Authors: Chu, Chenggen1,2 (AUTHOR) chenggen.chu@usda.gov, Wang, Shichen3 (AUTHOR), Rudd, Jackie C.1 (AUTHOR), Ibrahim, Amir M. H.4 (AUTHOR), Xue, Qingwu1 (AUTHOR), Devkota, Ravindra N.1 (AUTHOR), Baker, Jason A.1 (AUTHOR), Baker, Shannon1 (AUTHOR), Simoneaux, Bryan4 (AUTHOR), Opena, Geraldine4 (AUTHOR), Dong, Haixiao5 (AUTHOR), Liu, Xiaoxiao1 (AUTHOR), Jessup, Kirk E.1 (AUTHOR), Chen, Ming-Shun6 (AUTHOR), Hui, Kele1 (AUTHOR), Metz, Richard3 (AUTHOR), Johnson, Charles D.3 (AUTHOR), Zhang, Zhiwu S.5 (AUTHOR), Liu, Shuyu1 (AUTHOR) Shuyu.Liu@ag.tamu.edu
Source: Molecular Breeding. Apr2022, Vol. 42 Issue 4, p1-19. 19p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Molecular+Breeding%22">Molecular Breeding</searchLink>. Apr2022, Vol. 42 Issue 4, p1-19. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=156644409
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              Text: Apr2022
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