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Genomic Prediction of Green Fraction Dynamics in Soybean Using Unmanned Aerial Vehicles Observations.
Toda, Yusuke; Sasaki, Goshi; Ohmori, Yoshihiro; Yamasaki, Yuji; Takahashi, Hirokazu; Takanashi, Hideki; Tsuda, Mai; Kajiya-Kanegae, Hiromi; Lopez-Lozano, Raul; Tsujimoto, Hisashi; Kaga, Akito; Nakazono, Mikio; Fujiwara, Toru; Baret, Frederic; Iwata, Hiroyoshi.
Afiliación
  • Toda Y; Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Sasaki G; Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Ohmori Y; Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Yamasaki Y; Arid Land Research Center, Tottori University, Tottori, Japan.
  • Takahashi H; Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan.
  • Takanashi H; Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Tsuda M; Tsukuba-Plant Innovation Research Center (T-PIRC), University of Tsukuba, Tsukuba, Japan.
  • Kajiya-Kanegae H; Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization (NARO), Tokyo, Japan.
  • Lopez-Lozano R; Joint Research Unit of Mediterranean Environment and Modelling of Agroecosystems, National Research Institute for Agriculture, Food and Environment (INRAE), Avignon, France.
  • Tsujimoto H; Arid Land Research Center, Tottori University, Tottori, Japan.
  • Kaga A; Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Japan.
  • Nakazono M; Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan.
  • Fujiwara T; Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Baret F; Joint Research Unit of Mediterranean Environment and Modelling of Agroecosystems, National Research Institute for Agriculture, Food and Environment (INRAE), Avignon, France.
  • Iwata H; Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Front Plant Sci ; 13: 828864, 2022.
Article en En | MEDLINE | ID: mdl-35371133
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: Japón
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: Japón