The Viral Threat in Cotton: How New and Emerging Technologies Accelerate Virus Identification and Virus Resistance Breeding.
| Autor: | Tarazi R; Plant Molecular Virology Laboratory, Department of Virology, Microbiology Institute, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.; Programa de Pós-graduação em Biotecnologia e Bioprocessos da UFRJ, Rio de Janeiro, Brazil., Vaslin MFS; Plant Molecular Virology Laboratory, Department of Virology, Microbiology Institute, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.; Programa de Pós-graduação em Biotecnologia e Bioprocessos da UFRJ, Rio de Janeiro, Brazil. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in plant science [Front Plant Sci] 2022 Apr 05; Vol. 13, pp. 851939. Date of Electronic Publication: 2022 Apr 05 (Print Publication: 2022). |
| DOI: | 10.3389/fpls.2022.851939 |
| Abstrakt: | Cotton ( Gossypium spp. L., Malvaceae ) is the world's largest source of natural fibers. Virus outbreaks are fast and economically devasting regarding cotton. Identifying new viruses is challenging as virus symptoms usually mimic nutrient deficiency, insect damage, and auxin herbicide injury. Traditional viral identification methods are costly and time-consuming. Developing new resistant cotton lines to face viral threats has been slow until the recent use of molecular virology, genomics, new breeding techniques (NBT), remote sensing, and artificial intelligence (AI). This perspective article demonstrates rapid, sensitive, and cheap technologies to identify viral diseases and propose their use for virus resistance breeding. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Tarazi and Vaslin.) |
| Databáze: | MEDLINE |
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