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TeaGVD: A comprehensive database of genomic variations for uncovering the genetic architecture of metabolic traits in tea plants.
Chen, Jie-Dan; He, Wei-Zhong; Chen, Si; Chen, Qi-Yu; Ma, Jian-Qiang; Jin, Ji-Qiang; Ma, Chun-Lei; Moon, Doo-Gyung; Ercisli, Sezai; Yao, Ming-Zhe; Chen, Liang.
Afiliación
  • Chen JD; National Center for Tea Improvement, Tea Research Institute of the Chinese Academy of Agricultural Science, Hangzhou, China.
  • He WZ; Tea Research Institute, Lishui Academy of Agricultural and Forestry Sciences, Lishui, China.
  • Chen S; National Center for Tea Improvement, Tea Research Institute of the Chinese Academy of Agricultural Science, Hangzhou, China.
  • Chen QY; National Center for Tea Improvement, Tea Research Institute of the Chinese Academy of Agricultural Science, Hangzhou, China.
  • Ma JQ; National Center for Tea Improvement, Tea Research Institute of the Chinese Academy of Agricultural Science, Hangzhou, China.
  • Jin JQ; National Center for Tea Improvement, Tea Research Institute of the Chinese Academy of Agricultural Science, Hangzhou, China.
  • Ma CL; National Center for Tea Improvement, Tea Research Institute of the Chinese Academy of Agricultural Science, Hangzhou, China.
  • Moon DG; Research Institute of Climate Change and Agriculture, National Institute of Horticultural and Herbal Science, Jeju, South Korea.
  • Ercisli S; Department of Horticulture, Faculty of Agriculture, Ataturk University, Erzurum, Turkey.
  • Yao MZ; National Center for Tea Improvement, Tea Research Institute of the Chinese Academy of Agricultural Science, Hangzhou, China.
  • Chen L; National Center for Tea Improvement, Tea Research Institute of the Chinese Academy of Agricultural Science, Hangzhou, China.
Front Plant Sci ; 13: 1056891, 2022.
Article en En | MEDLINE | ID: mdl-36518520

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: China
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