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. |
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| 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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| ISSN: | 13803743 |
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| DOI: | 10.1007/s11032-022-01287-8 |
