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Identifying QTLs for Grain Size in a Colossal Grain Rice (Oryza sativa L.) Line, and Analysis of Additive Effects of QTLs.
Hou, Xuanxuan; Chen, Moxian; Chen, Yinke; Hou, Xin; Jia, Zichang; Yang, Xue; Zhang, Jianhua; Liu, Yinggao; Ye, Nenghui.
Afiliação
  • Hou X; College of Agriculture, Hunan Agricultural University, Changsha 410128, China.
  • Chen M; Co-Innovation Center for Sustainable Forestry in Southern China & Key Laboratory of National Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China.
  • Chen Y; State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Tai'an 271018, China.
  • Hou X; CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
  • Jia Z; College of Agriculture, Hunan Agricultural University, Changsha 410128, China.
  • Yang X; State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Tai'an 271018, China.
  • Zhang J; State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Tai'an 271018, China.
  • Liu Y; State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Tai'an 271018, China.
  • Ye N; Department of Biology, Hong Kong Baptist University, Hong Kong 999077, China.
Int J Mol Sci ; 23(7)2022 Mar 24.
Article em En | MEDLINE | ID: mdl-35408887
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China