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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Autores principales: Redestig, Henning, Kusano, Miyako, Ebana, Kaworu, Kobayashi, Makoto, Oikawa, Akira, Okazaki, Yozo, Matsuda, Fumio, Arita, Masanori, Fujita, Naoko, Saito, Kazuki
Formato: Artigo
Lenguaje:Inglês
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea: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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