Abstract

Fusarium oxysporum has been a subject of intensive research since 1882, with over 200 studies published from key cotton-growing countries such as the United States, China, Uzbekistan, India, Pakistan, Australia, and Brazil. The present study has employed a diverse array of research methodologies and technological approaches, primarily emphasizing research publications disseminated within the past decade. It places specific emphasis on two key domains: Molecular Mapping and Genome-Wide Association Studies (GWAS), elucidating the evolutionary analysis transition from Simple Sequence Repeat (SSR) to Single Nucleotide Polymorphism (SNP) chip utilization. The creation of a comprehensive molecular map that incorporates Quantitative Trait Loci (QTLs) related to Fusarium and consolidates findings from several research groups, accompanied by figures and tables, serves to facilitate a more thorough understanding of the genetic architecture underlying Fusarium-related traits. An in-depth examination of recent advances in marker-assisted selection for traits conferring resistance to Fusarium oxysporum f. sp. vasinfectum (FOV), coupled with a comprehensive evaluation of the pertinent genes, offers valuable insights into the development of resistant cultivars and the underlying genetic mechanisms. This entails doing a critical review of recent relevant literature. Furthermore, this investigation examines the obstacles and potential associated with developing technologies.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.