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Identification and Functional Prediction of Poplar Root circRNAs Involved in Treatment With Different Forms of Nitrogen.
Zhou, Jing; Yang, Ling-Yu; Jia, Chen-Lin; Shi, Wen-Guang; Deng, Shu-Rong; Luo, Zhi-Bin.
Affiliation
  • Zhou J; State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Silviculture of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.
  • Yang LY; State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Silviculture of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.
  • Jia CL; State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Silviculture of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.
  • Shi WG; State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Silviculture of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.
  • Deng SR; State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Silviculture of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.
  • Luo ZB; State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Silviculture of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.
Front Plant Sci ; 13: 941380, 2022.
Article de En | MEDLINE | ID: mdl-35874008
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Langue: En Journal: Front Plant Sci Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse
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 / Prognostic_studies / Risk_factors_studies Langue: En Journal: Front Plant Sci Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse