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Identification of an important QTL for seed oil content in soybean.
Li, Bing; Peng, Jingyu; Wu, Yueying; Hu, Quan; Huang, Wenxuan; Yuan, Zhihui; Tang, Xiaofei; Cao, Dan; Xue, Yongguo; Luan, Xiaoyan; Hou, Jingjing; Liu, Xinlei; Sun, Lianjun.
Affiliation
  • Li B; College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
  • Peng J; Sanya Institute of China Agricultural University, Sanya, 572000 China.
  • Wu Y; College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
  • Hu Q; Sanya Institute of China Agricultural University, Sanya, 572000 China.
  • Huang W; College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
  • Yuan Z; College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
  • Tang X; College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
  • Cao D; College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
  • Xue Y; Institute of Soybean Research, Heilongjiang Provincial Academy of Agricultural Sciences, Harbin, 150086 China.
  • Luan X; Institute of Soybean Research, Heilongjiang Provincial Academy of Agricultural Sciences, Harbin, 150086 China.
  • Hou J; Institute of Soybean Research, Heilongjiang Provincial Academy of Agricultural Sciences, Harbin, 150086 China.
  • Liu X; Institute of Soybean Research, Heilongjiang Provincial Academy of Agricultural Sciences, Harbin, 150086 China.
  • Sun L; College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
Mol Breed ; 43(6): 43, 2023 Jun.
Article de En | MEDLINE | ID: mdl-37313220
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies Langue: En Journal: Mol Breed Année: 2023 Type de document: Article Pays de publication: Pays-Bas
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies Langue: En Journal: Mol Breed Année: 2023 Type de document: Article Pays de publication: Pays-Bas