The metabolomic landscape of rice heterosis highlights pathway biomarkers for predicting complex phenotypes

Understanding the molecular mechanisms underlying complex phenotypes requires systematic analyses of complicated metabolic networks and contributes to improvements in the breeding efficiency of staple cereal crops and diagnostic accuracy for human diseases. Here, we selected rice (Oryza sativa) hete...

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Detalles Bibliográficos
Autores principales: Dan, Zhiwu, Chen, Yunping, Li, Hui, Zeng, Yafei, Xu, Wuwu, Zhao, Weibo, He, Ruifeng, Huang, Wenchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Regular Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491067/
https://www.ncbi.nlm.nih.gov/pubmed/34608951
http://dx.doi.org/10.1093/plphys/kiab273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491067/
https://www.ncbi.nlm.nih.gov/pubmed/34608951
http://dx.doi.org/10.1093/plphys/kiab273

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