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344470

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

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

Genetics and breeding

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.

DOI

10.21608/mjppf.2024.264220.1041

Keywords

rice, Field evaluation, correlation coefficient

Authors

First Name

Tahany

Last Name

Mazal

MiddleName

Mohamed

Affiliation

Rice Research and training center, agriculture research center

Email

tahany.mazal@gmail.com

City

Kafr elsheikh

Orcid

-

First Name

neama

Last Name

el khouli

MiddleName

-

Affiliation

Rice research and training center,Sakha , kafrelsheikh

Email

neamaelkholy04@gmail.com

City

-

Orcid

-

First Name

sara

Last Name

elleithy

MiddleName

-

Affiliation

Rice research and training center,Sakha , kafrelsheikh

Email

saraelleithy@ymail.com

City

-

Orcid

-

Volume

9

Article Issue

2

Related Issue

46469

Issue Date

2024-02-01

Receive Date

2024-01-27

Publish Date

2024-02-01

Page Start

71

Page End

80

Print ISSN

2357-0830

Online ISSN

2735-346X

Link

https://mjppf.journals.ekb.eg/article_344470.html

Detail API

https://mjppf.journals.ekb.eg/service?article_code=344470

Order

11

Type

original papers

Type Code

1,393

Publication Type

Journal

Publication Title

Menoufia Journal of Plant Production

Publication Link

https://mjppf.journals.ekb.eg/

MainTitle

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

Details

Type

Article

Created At

26 Dec 2024