Exploring molecular backgrounds of quality traits in rice by predictive models based on high-coverage metabolomics

BACKGROUND: Increasing awareness of limitations to natural resources has set high expectations for plant science to deliver efficient crops with increased yields, improved stress tolerance, and tailored composition. Collections of representative varieties are a valuable resource for compiling broad...

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Detalhes bibliográficos
Main Authors: Redestig, Henning, Kusano, Miyako, Ebana, Kaworu, Kobayashi, Makoto, Oikawa, Akira, Okazaki, Yozo, Matsuda, Fumio, Arita, Masanori, Fujita, Naoko, Saito, Kazuki
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2011
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3305925/
https://ncbi.nlm.nih.gov/pubmed/22034874
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-5-176
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