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Gene expression and expression quantitative trait loci analyses uncover natural variations underlying the improvement of important agronomic traits during modern maize breeding.
Li, Changyu; Li, Yaoyao; Song, Guangshu; Yang, Di; Xia, Zhanchao; Sun, Changhe; Zhao, Yuelei; Hou, Mei; Zhang, Mingyue; Qi, Zhi; Wang, Baobao; Wang, Haiyang.
Afiliação
  • Li C; Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
  • Li Y; Key Laboratory of Herbage and Endemic Crop Biology, Ministry of Education, Inner Mongolia University, Hohhot, 010070, China.
  • Song G; State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China.
  • Yang D; Maize Research Institute, Jilin Academy of Agricultural Sciences, Gongzhuling, 136100, China.
  • Xia Z; Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
  • Sun C; Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
  • Zhao Y; Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
  • Hou M; Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
  • Zhang M; Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
  • Qi Z; State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China.
  • Wang B; Key Laboratory of Herbage and Endemic Crop Biology, Ministry of Education, Inner Mongolia University, Hohhot, 010070, China.
  • Wang H; Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Plant J ; 115(3): 772-787, 2023 08.
Article em En | MEDLINE | ID: mdl-37186341

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Zea mays / Locos de Características Quantitativas / Melhoramento Vegetal Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant J Assunto da revista: BIOLOGIA MOLECULAR / BOTANICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Zea mays / Locos de Características Quantitativas / Melhoramento Vegetal Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant J Assunto da revista: BIOLOGIA MOLECULAR / BOTANICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China