Application of the maximum threshold distances to reduce gene flow frequency in the coexistence between genetically modified (GM) and non-GM maize.

Hu, Ning; Hu, Ji-Chao; Jiang, Xiao-Dong; Xiao, Wei; Yao, Ke-Min; Li, Liang; Li, Xin-Hai; Pei, Xin-Wu

Hu, Ning; Hu, Ji-Chao; Jiang, Xiao-Dong; Xiao, Wei; Yao, Ke-Min; Li, Liang; Li, Xin-Hai; Pei, Xin-Wu.

Afiliación

Hu N; Yale-NUIST Center on Atmospheric Environment International Joint Laboratory on Climate and Environment Change Nanjing University of Information Science & Technology Nanjing China.
Hu JC; Jiangsu Key Laboratory of Agricultural Meteorology Nanjing University of Information Science & Technology Nanjing Jiangsu China.
Jiang XD; Jiangsu Key Laboratory of Agricultural Meteorology Nanjing University of Information Science & Technology Nanjing Jiangsu China.
Xiao W; Yale-NUIST Center on Atmospheric Environment International Joint Laboratory on Climate and Environment Change Nanjing University of Information Science & Technology Nanjing China.
Yao KM; Jiangsu Key Laboratory of Agricultural Meteorology Nanjing University of Information Science & Technology Nanjing Jiangsu China.
Li L; Biotechnology Research Institute Chinese Academy of Agricultural Sciences Beijing China.
Li XH; Biotechnology Research Institute Chinese Academy of Agricultural Sciences Beijing China.
Pei XW; Biotechnology Research Institute Chinese Academy of Agricultural Sciences Beijing China.

Evol Appl ; 15(3): 471-483, 2022 Mar.

Article en En | MEDLINE | ID: mdl-35386402

Palabras clave

gene flow; genetic competitiveness; maize; maximum threshold distance (MTD); risk management

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Evol Appl Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido

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