• 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
Menoufia Journal of Plant Production
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 10 (2025)
Volume Volume 9 (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 8 (2023)
Volume Volume 7 (2022)
Volume Volume 6 (2021)
Volume Volume 5 (2020)
Volume Volume 4 (2019)
Volume Volume 3 (2018)
Volume Volume 2 (2017)
Volume Volume 1 (2016)
Volume Volume 40 (2015)
Mazal, T., el khouli, N., elleithy, S. (2024). ASSESSMENT OF VARIABILITY, GENETIC PARAMETERS AND CLUSTER ANALYSIS OF SOME RICE GENOTYPES USING QUANTATIVE TRAITS. Menoufia Journal of Plant Production, 9(2), 71-80. doi: 10.21608/mjppf.2024.264220.1041
Tahany Mohamed Mazal; neama el khouli; sara elleithy. "ASSESSMENT OF VARIABILITY, GENETIC PARAMETERS AND CLUSTER ANALYSIS OF SOME RICE GENOTYPES USING QUANTATIVE TRAITS". Menoufia Journal of Plant Production, 9, 2, 2024, 71-80. doi: 10.21608/mjppf.2024.264220.1041
Mazal, T., el khouli, N., elleithy, S. (2024). 'ASSESSMENT OF VARIABILITY, GENETIC PARAMETERS AND CLUSTER ANALYSIS OF SOME RICE GENOTYPES USING QUANTATIVE TRAITS', Menoufia Journal of Plant Production, 9(2), pp. 71-80. doi: 10.21608/mjppf.2024.264220.1041
Mazal, T., el khouli, N., elleithy, S. ASSESSMENT OF VARIABILITY, GENETIC PARAMETERS AND CLUSTER ANALYSIS OF SOME RICE GENOTYPES USING QUANTATIVE TRAITS. Menoufia Journal of Plant Production, 2024; 9(2): 71-80. doi: 10.21608/mjppf.2024.264220.1041

ASSESSMENT OF VARIABILITY, GENETIC PARAMETERS AND CLUSTER ANALYSIS OF SOME RICE GENOTYPES USING QUANTATIVE TRAITS

Article 11, Volume 9, Issue 2, February 2024, Page 71-80  XML PDF (585.94 K)
Document Type: original papers
DOI: 10.21608/mjppf.2024.264220.1041
View on SCiNiTO View on SCiNiTO
Authors
Tahany Mohamed Mazal email 1; neama el khouli2; sara elleithy2
1Rice Research and training center, agriculture research center
2Rice research and training center,Sakha , kafrelsheikh
Abstract
Rice is the most important crop for many countries around the world, being the main cash crop for farmers. This research was carried out at the experimental farm of Sakha Agricultural Research Station, Kafr El-Sheikh, Egypt during 2022 and 2023 rice seasons to investigate the variability for desiredquantitative traits and genetic parameters i.e. phenotypic and genotypic coefficients of variation, broad sense heritability and correlations among 11 rice genotypes for some agronomical characteristics. Randomized complete block design, with three replications were used in the both seasons. The analysis of variance of 11 studied traits revealed highly significant differences between the genotypes indicating into a wide range of variation among the tested rice genotypes in their genetic background. The genotypes Sakha 101, SKC23824-422, GZ9362-34-2-1-3and Sakha 104 showed the highest mean values for grain yield plant-1 (59.90, 59.50, 59.40 and 59.00 g, respectively).The widest and thickest grains were observed inIR51672-62-2-1 with mean value 4.10 -2.60mm. The highest PCV and GCV were observed in panicle weight, number of filled grains panicle-1 and1000-grain weight. The positive correlation coefficients between grain yield and number of panicles plant-1, panicle length, panicle weight, number of filled grains panicle-1 and 1000-grain weight. High heritability observed for all studied traits except panicle length trait were low. The dendrogram analysis divided the studied genotypes into two main clusters based on the mean values of the studied traits. Out of the 11 rice genotypes, seven genotypes proved to be high yield and its components and these genotyped could be candidate for progress evaluations for developing new varieties with desirable traits.


Keywords
rice; field evaluation; correlation coefficient
Main Subjects
Genetics and breeding
Statistics
Article View: 139
PDF Download: 227
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.