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Genetic Diversity in Stomatal Density among Soybeans Elucidated Using High-throughput Technique Based on an Algorithm for Object Detection.
Sakoda, Kazuma; Watanabe, Tomoya; Sukemura, Shun; Kobayashi, Shunzo; Nagasaki, Yuichi; Tanaka, Yu; Shiraiwa, Tatsuhiko.
Afiliação
  • Sakoda K; Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, 606-8502, Japan.
  • Watanabe T; Research Fellow of Japan Society for the Promotion of Science, Kyoto, Japan.
  • Sukemura S; Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, 606-8502, Japan.
  • Kobayashi S; Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, 606-8502, Japan.
  • Nagasaki Y; Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, 606-8502, Japan.
  • Tanaka Y; Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, 606-8502, Japan.
  • Shiraiwa T; Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, 606-8502, Japan. tanaka12@kais.kyoto-u.ac.jp.
Sci Rep ; 9(1): 7610, 2019 05 20.
Article em En | MEDLINE | ID: mdl-31110228
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glycine max / Variação Genética Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Japão
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glycine max / Variação Genética Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Japão