Remote-Sensing-Combined Haplotype Analysis Using Multi-Parental Advanced Generation Inter-Cross Lines Reveals Phenology QTLs for Canopy Height in Rice.

Ogawa, Daisuke; Sakamoto, Toshihiro; Tsunematsu, Hiroshi; Kanno, Noriko; Nonoue, Yasunori; Yonemaru, Jun-Ichi

Ogawa, Daisuke; Sakamoto, Toshihiro; Tsunematsu, Hiroshi; Kanno, Noriko; Nonoue, Yasunori; Yonemaru, Jun-Ichi.

Afiliação

Ogawa D; Institute of Crop Science, National Agricultural and Food Research Organization, Tsukuba, Japan.
Sakamoto T; Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba, Japan.
Tsunematsu H; Institute of Crop Science, National Agricultural and Food Research Organization, Tsukuba, Japan.
Kanno N; Institute of Crop Science, National Agricultural and Food Research Organization, Tsukuba, Japan.
Nonoue Y; Institute of Crop Science, National Agricultural and Food Research Organization, Tsukuba, Japan.
Yonemaru JI; Institute of Crop Science, National Agricultural and Food Research Organization, Tsukuba, Japan.

Front Plant Sci ; 12: 715184, 2021.

Article em En | MEDLINE | ID: mdl-34721450

Palavras-chave

GWAS; QTL; UAV; canopy height; haplotype; high-throughput phenotyping; magic; phenology

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Plant Sci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão

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