• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Peer Review Process
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Journal of Plant Production
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 16 (2025)
Volume Volume 15 (2024)
Volume Volume 14 (2023)
Volume Volume 13 (2022)
Volume Volume 12 (2021)
Volume Volume 11 (2020)
Volume Volume 10 (2019)
Volume Volume 9 (2018)
Volume Volume 8 (2017)
Volume Volume 7 (2016)
Volume Volume 6 (2015)
Volume Volume 5 (2014)
Volume Volume 4 (2013)
Volume Volume 3 (2012)
Volume Volume 2 (2011)
Volume Volume 1 (2010)
Volume Volume 34 (2009)
Volume Volume 33 (2008)
Volume Volume 32 (2007)
Volume Volume 31 (2006)
Volume Volume 30 (2005)
Volume Volume 29 (2004)
Volume Volume 28 (2003)
Volume Volume 27 (2002)
Issue Issue 12
Issue Issue 11
Issue Issue 10
Issue Issue 9
Issue Issue 8
Issue Issue 7
Issue Issue 6
Issue Issue 5
Issue Issue 4
Issue Issue 3
Issue Issue 2
Issue Issue 1
Volume Volume 26 (2001)
Volume Volume 25 (2000)
Hussein, E., Mohamed, M., Khalil, M., Aly, A. (2002). DETECTION OF GENETIC VARIATION IN SOME EGYPTIAN COTTONS RESISTANCE OR SUSCEPTIBLE TO FUSARIUM WILT DISEASE BY RAPD ANALYSIS. Journal of Plant Production, 27(5), 3089-3099. doi: 10.21608/jpp.2002.254197
E. M. Hussein; Maggie E. Mohamed; M. S. Khalil; A. A. Aly. "DETECTION OF GENETIC VARIATION IN SOME EGYPTIAN COTTONS RESISTANCE OR SUSCEPTIBLE TO FUSARIUM WILT DISEASE BY RAPD ANALYSIS". Journal of Plant Production, 27, 5, 2002, 3089-3099. doi: 10.21608/jpp.2002.254197
Hussein, E., Mohamed, M., Khalil, M., Aly, A. (2002). 'DETECTION OF GENETIC VARIATION IN SOME EGYPTIAN COTTONS RESISTANCE OR SUSCEPTIBLE TO FUSARIUM WILT DISEASE BY RAPD ANALYSIS', Journal of Plant Production, 27(5), pp. 3089-3099. doi: 10.21608/jpp.2002.254197
Hussein, E., Mohamed, M., Khalil, M., Aly, A. DETECTION OF GENETIC VARIATION IN SOME EGYPTIAN COTTONS RESISTANCE OR SUSCEPTIBLE TO FUSARIUM WILT DISEASE BY RAPD ANALYSIS. Journal of Plant Production, 2002; 27(5): 3089-3099. doi: 10.21608/jpp.2002.254197

DETECTION OF GENETIC VARIATION IN SOME EGYPTIAN COTTONS RESISTANCE OR SUSCEPTIBLE TO FUSARIUM WILT DISEASE BY RAPD ANALYSIS

Article 13, Volume 27, Issue 5, May 2002, Page 3089-3099  XML PDF (672.79 K)
Document Type: Original Article
DOI: 10.21608/jpp.2002.254197
View on SCiNiTO View on SCiNiTO
Authors
E. M. Hussein; Maggie E. Mohamed; M. S. Khalil; A. A. Aly
Plant Pathology Research Institute, Agric. Res. Center, Giza, Egypt
Abstract
Random amplified polymorphic DNA (RAPD) analysis was used to evaluate the genetic diversity of 5 experimental crosses and 9 commercial cultivars of Egyptian cottons (Gossypium barbadense L.). The crosses showed varying levels of susceptibility to Fusarium wilt disease, while all the cultivars were highly resistant. The tested genotypes (crosses and cultivars) were analyzed with 4 random decamer primers using the polymerase chain reaction (PCR). All the primers detected polymorphism in all the tested genotypes. Cluster analysis by the unweighted pair-group method of arithmetic means (UPGMA) placed the genotypes in several groups with overall similarity levels ranged from 67.15 to 96.74%, which may indicate that the tested genotypes had a narrow genetic base. Grouping the genotypes based on their RAPD-PCR banding patterns was not related to their reaction to the Fusarium-wilt disease. The results of this study could be used for cultivar identification or for seed purity tests.
Statistics
Article View: 70
PDF Download: 215
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.