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Assessment of genetic diversity of diverse rice genotypes using Agro-Physiological and molecular characterization under water deficit conditions

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Last updated: 01 Jan 2025

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Abstract

Drought is a significant abiotic stress that has a significant impact on rice growth, production, and quality. Furthermore, water scarcity is expected to become increasingly severe and frequent as a result of climate change, particularly in arid environments. Therefore, the objective of this study was to assess the impact of water deficit on morphological, physiological and agronomic of eight rice varieties with different genetic backgrounds. In addition to apply two PCR-based molecular marker systems ISSR and SCoT to assess the genetic diversity among the studied rice varieties. The results revealed that, water shortage stress significantly reduced relative water content, total chlorophyll content, grain yield, and yield characteristics. While, it significantly increased proline content and antioxidant enzyme activity (CAT, APX, and SOD) compared to normal irrigation treatment. The combined analysis of variance demonstrated that the mean squares for environments, varieties, and their interaction were highly significant for all investigated traits, The evaluated genotypes exhibited varied responses to drought-stress conditions. The Puebla and Hispagran varieties possessed the highest performance for most of the evaluated parameters and surpassed the other tested genotypes under water-deficit conditions. Therefore, it could be exploited in rice breeding programs for water-deficit tolerance..
The ISSR primers produce 46 amplified bands with an average of 6.6 bands/primer and 49.64% polymorphism. The SCoT primers reveal 46 bands with a mean of 11.5 bands/primer and 57% polymorphism. Both marker systems were informative, and the average polymorphism information content (PIC) was 0.33 and 0.38 for ISSR and SCoT, respectively. The dendrogram generated by ISSR and SCoT markers combined data divided the varieties into two major clusters. Cluster I consisted of the genotype Sakha 106. Cluster II retained seven varieties, which were further divided into two sub-clusters; Sakha 101, Sakha 105, Sakha 106, Sakha 107 constituted the first subgroup, while Giza 177, Hispagran, and Puebla formed the second one. It could be concluded that, Puebla, Hispagran, and sakha 108, which recorded the highest desirable values for the majority of studied traits under water deficit stress, could be used as a doner in rice breeding programs to develop new promising lines under water shortage conditions.

DOI

10.21608/ejss.2023.224114.1621

Keywords

rice, Water deficit, Physiological and Biochemical Responses, Molecular analysis, ISSR Marker, SCoT marker, cluster analysis

Authors

First Name

Mohamed

Last Name

Abd EL-Aty

MiddleName

s.

Affiliation

Agronomy Department, Faculty of Agriculture, Kafr El-Sheikh university, Egypt.

Email

abdelaty2002@yahoo.com

City

Kafr Elsheikh

Orcid

-

First Name

Mahmoud

Last Name

Abo-Youssef

MiddleName

I.

Affiliation

Rice Research and Training Center, Field Crops Research Institute, Agric. Res. Center, Egypt.

Email

aboyousef@yahoo.com

City

Kafr Elsheikh

Orcid

-

First Name

Mohamed

Last Name

Bahgt

MiddleName

M.

Affiliation

AAgronomy Department, Faculty of Agriculture, Kafr El-Sheikh university, Egypt.

Email

mohammed_bahgat25@agr.kfs.edu.eg

City

kafr Elsheikh

Orcid

-

Volume

63

Article Issue

4

Related Issue

42904

Issue Date

2023-12-01

Receive Date

2023-07-20

Publish Date

2023-10-01

Page Start

503

Page End

524

Print ISSN

0302-6701

Online ISSN

2357-0369

Link

https://ejss.journals.ekb.eg/article_312910.html

Detail API

https://ejss.journals.ekb.eg/service?article_code=312910

Order

5

Type

Review papers

Type Code

25

Publication Type

Journal

Publication Title

Egyptian Journal of Soil Science

Publication Link

https://ejss.journals.ekb.eg/

MainTitle

Assessment of genetic diversity of diverse rice genotypes using Agro-Physiological and molecular characterization under water deficit conditions

Details

Type

Article

Created At

23 Dec 2024