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Effective use of legacy data in a genome-wide association studies improves the credibility of quantitative trait loci detection in rice.
Suganami, Mao; Kojima, Soichi; Wang, Fanmiao; Yoshida, Hideki; Miura, Kotaro; Morinaka, Yoichi; Watanabe, Masao; Matsuda, Tsukasa; Yamamoto, Eiji; Matsuoka, Makoto.
Afiliação
  • Suganami M; Faculty of Food and Agricultural Sciences, Institute of Fermentation Sciences, Fukushima University, Fukushima 960-1296, Japan.
  • Kojima S; Graduate School of Agricultural Science, Tohoku University, Sendai 980-8572, Japan.
  • Wang F; Bioscience and Biotechnology Center, Nagoya University, Nagoya 464-8601, Japan.
  • Yoshida H; Faculty of Food and Agricultural Sciences, Institute of Fermentation Sciences, Fukushima University, Fukushima 960-1296, Japan.
  • Miura K; Faculty of Bioscience and Biotechnology, Fukui Prefectural University, Fukui 910-1195, Japan.
  • Morinaka Y; Faculty of Bioscience and Biotechnology, Fukui Prefectural University, Fukui 910-1195, Japan.
  • Watanabe M; Graduate School of Life Sciences, Tohoku University, Sendai 980-8577, Japan.
  • Matsuda T; Faculty of Food and Agricultural Sciences, Institute of Fermentation Sciences, Fukushima University, Fukushima 960-1296, Japan.
  • Yamamoto E; Graduate School of Agriculture, Meiji University, Kawasaki 214-8571, Japan.
  • Matsuoka M; Faculty of Food and Agricultural Sciences, Institute of Fermentation Sciences, Fukushima University, Fukushima 960-1296, Japan.
Plant Physiol ; 191(3): 1561-1573, 2023 03 17.
Article em En | MEDLINE | ID: mdl-36652387
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oryza / Locos de Características Quantitativas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oryza / Locos de Características Quantitativas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article