Machine learning assisted dynamic phenotypes and genomic variants help understand the ecotype divergence in rapeseed

Three ecotypes of rapeseed, winter, spring, and semi-winter, have been formed to enable the plant to adapt to different geographic areas. Although several major loci had been found to contribute to the flowering divergence, the genomic footprints and associated dynamic plant architecture in the vege...

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Detalles Bibliográficos
Autores principales: Feng, Hui, Guo, Chaocheng, Li, Zongyi, Gao, Yuan, Zhang, Qinghua, Geng, Zedong, Wang, Jing, Chen, Guoxing, Liu, Kede, Li, Haitao, Yang, Wanneng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705987/
https://www.ncbi.nlm.nih.gov/pubmed/36457523
http://dx.doi.org/10.3389/fpls.2022.1028779

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705987/
https://www.ncbi.nlm.nih.gov/pubmed/36457523
http://dx.doi.org/10.3389/fpls.2022.1028779

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