Validating a Major Quantitative Trait Locus and Predicting Candidate Genes Associated With Kernel Width Through QTL Mapping and RNA-Sequencing Technology Using Near-Isogenic Lines in Maize.

Zhao, Yanming; Ma, Xiaojie; Zhou, Miaomiao; Wang, Junyan; Wang, Guiying; Su, Chengfu

Zhao, Yanming; Ma, Xiaojie; Zhou, Miaomiao; Wang, Junyan; Wang, Guiying; Su, Chengfu.

Afiliación

Zhao Y; College of Agronomy, Qingdao Agricultural University, Qingdao, China.
Ma X; Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China.
Zhou M; College of Agronomy, Qingdao Agricultural University, Qingdao, China.
Wang J; College of Agronomy, Qingdao Agricultural University, Qingdao, China.
Wang G; College of Agronomy, Qingdao Agricultural University, Qingdao, China.
Su C; College of Agronomy, Qingdao Agricultural University, Qingdao, China.

Front Plant Sci ; 13: 935654, 2022.

Article en En | MEDLINE | ID: mdl-35845666

Palabras clave

NILs; QTL validation; candidate genes; kernel width; maize

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Texto completo: 1 Bases 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: China

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