• 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)
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 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)
Volume Volume 26 (2001)
Volume Volume 25 (2000)
Ghazy, M., Sakran, R., Sherif, A. (2024). Genetic Analysis for some Quantitative Traits in some Rice Genotypes (Oryza sativa L.) under Normal and Water Deficit Conditions using Five Parameters Model. Journal of Plant Production, 15(12), 777-787. doi: 10.21608/jpp.2024.336015.1416
M. I. Ghazy; Raghda M. Sakran; A. Sherif. "Genetic Analysis for some Quantitative Traits in some Rice Genotypes (Oryza sativa L.) under Normal and Water Deficit Conditions using Five Parameters Model". Journal of Plant Production, 15, 12, 2024, 777-787. doi: 10.21608/jpp.2024.336015.1416
Ghazy, M., Sakran, R., Sherif, A. (2024). 'Genetic Analysis for some Quantitative Traits in some Rice Genotypes (Oryza sativa L.) under Normal and Water Deficit Conditions using Five Parameters Model', Journal of Plant Production, 15(12), pp. 777-787. doi: 10.21608/jpp.2024.336015.1416
Ghazy, M., Sakran, R., Sherif, A. Genetic Analysis for some Quantitative Traits in some Rice Genotypes (Oryza sativa L.) under Normal and Water Deficit Conditions using Five Parameters Model. Journal of Plant Production, 2024; 15(12): 777-787. doi: 10.21608/jpp.2024.336015.1416

Genetic Analysis for some Quantitative Traits in some Rice Genotypes (Oryza sativa L.) under Normal and Water Deficit Conditions using Five Parameters Model

Article 2, Volume 15, Issue 12, December 2024, Page 777-787  XML PDF (799.65 K)
Document Type: Original Article
DOI: 10.21608/jpp.2024.336015.1416
View on SCiNiTO View on SCiNiTO
Authors
M. I. Ghazy email orcid ; Raghda M. Sakran; A. Sherif
Rice Research Department, Field Crops Research Institute, Agricultural Research Center, Giza 12619, Egypt
Abstract
Water deficit is a significant abiotic stress that severely limits rice growth and production. Therefore, developing drought-tolerant rice genotypes is essential, especially under current water shortage conditions. In this study, eleven SSR markers revealed substantial genetic variation among parental genotypes, identifying 27 alleles with an average of 2.45 per locus and a high polymorphism information content (PIC) of 0.44. Based on this diversity, three specific crosses were generated. Five populations from each cross, including P1, P2, F1, F2, and F3, were evaluated in two separate experiments under normal and water deficit conditions. The results showed that the overall mean values for all generations were higher under normal conditions than under water deficit conditions for most studied traits. The first cross (Sakha 107 × Nerica 7) was the best for the most studied traits under water deficit, while the third cross (Sakha Super 300 × Moroberekan) was the best under normal conditions. Scaling test results indicated that the evaluated traits did not align well with the additive-dominance model, suggesting the possibility of epistasis in trait inheritance. Dominance effects were notably high for 100-grain weight, water use efficiency, and grain yield per plant, suggesting that selection for these traits should be postponed to late generations to ensure homozygosity. The importance of additive and dominance effects varied by trait and cross under normal and water stress conditions. Among the epistatic components, the dominance effect was more significant in magnitude than the additive × additive ones in most studied traits.
Keywords
Rice; Water deficit; five populations; SSR markers; Gene action
Statistics
Article View: 83
PDF Download: 120
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.