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

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

Journal

Evolutionary applications
ISSN: 1752-4571
Titre abrégé: Evol Appl
Pays: England
ID NLM: 101461828

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 07 08 2021
revised: 13 12 2021
accepted: 02 02 2022
entrez: 7 4 2022
pubmed: 8 4 2022
medline: 8 4 2022
Statut: epublish

Résumé

On the coexistence of genetically modified (GM) and non-GM maize, the isolation distance plays an important role in controlling the transgenic flow. In this study, maize gene flow model was used to quantify the MTD

Identifiants

pubmed: 35386402
doi: 10.1111/eva.13361
pii: EVA13361
pmc: PMC8965377
doi:

Types de publication

Journal Article

Langues

eng

Pagination

471-483

Informations de copyright

© 2022 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

The authors have no conflicts of interest to disclose.

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Auteurs

Ning Hu (N)

Yale-NUIST Center on Atmospheric Environment International Joint Laboratory on Climate and Environment Change Nanjing University of Information Science & Technology Nanjing China.

Ji-Chao Hu (JC)

Jiangsu Key Laboratory of Agricultural Meteorology Nanjing University of Information Science & Technology Nanjing Jiangsu China.

Xiao-Dong Jiang (XD)

Jiangsu Key Laboratory of Agricultural Meteorology Nanjing University of Information Science & Technology Nanjing Jiangsu China.

Wei Xiao (W)

Yale-NUIST Center on Atmospheric Environment International Joint Laboratory on Climate and Environment Change Nanjing University of Information Science & Technology Nanjing China.

Ke-Min Yao (KM)

Jiangsu Key Laboratory of Agricultural Meteorology Nanjing University of Information Science & Technology Nanjing Jiangsu China.

Liang Li (L)

Biotechnology Research Institute Chinese Academy of Agricultural Sciences Beijing China.

Xin-Hai Li (XH)

Biotechnology Research Institute Chinese Academy of Agricultural Sciences Beijing China.

Xin-Wu Pei (XW)

Biotechnology Research Institute Chinese Academy of Agricultural Sciences Beijing China.

Classifications MeSH