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Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.)

Exploration of and understanding diversity and variability in genotypes of germplasm determines the success of rice improvement programs. One of the most important determinants of the success of breeding programs is genetic diversity and inheritance of traits. Genetic variability analysis helps bree...

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Autores principales: Awad-Allah, Mamdouh M. A., Shafie, Wafaa W. M., Alsubeie, Moodi Saham, Alatawi, Aishah, Safhi, Fatmah Ahmed, ALshamrani, Salha Mesfer, Albalawi, Doha A., Al-Amrah, Hadba, Alshehri, Dikhnah, Alshegaihi, Rana M., Basahi, Mohammed A., Masrahi, Abdurrahman S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778048/
https://www.ncbi.nlm.nih.gov/pubmed/36553494
http://dx.doi.org/10.3390/genes13122227
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author Awad-Allah, Mamdouh M. A.
Shafie, Wafaa W. M.
Alsubeie, Moodi Saham
Alatawi, Aishah
Safhi, Fatmah Ahmed
ALshamrani, Salha Mesfer
Albalawi, Doha A.
Al-Amrah, Hadba
Alshehri, Dikhnah
Alshegaihi, Rana M.
Basahi, Mohammed A.
Masrahi, Abdurrahman S.
author_facet Awad-Allah, Mamdouh M. A.
Shafie, Wafaa W. M.
Alsubeie, Moodi Saham
Alatawi, Aishah
Safhi, Fatmah Ahmed
ALshamrani, Salha Mesfer
Albalawi, Doha A.
Al-Amrah, Hadba
Alshehri, Dikhnah
Alshegaihi, Rana M.
Basahi, Mohammed A.
Masrahi, Abdurrahman S.
author_sort Awad-Allah, Mamdouh M. A.
collection PubMed
description Exploration of and understanding diversity and variability in genotypes of germplasm determines the success of rice improvement programs. One of the most important determinants of the success of breeding programs is genetic diversity and inheritance of traits. Genetic variability analysis helps breeders to determine the appropriate selection method and standards to be used to improve the preferred trait. The aim of this study was to estimate genetic components, heritability and to obtain information about genetic diversity using cluster analysis and principal component analysis. Twenty rice genotypes with three replicates in a randomized complete block design were analyzed at the Experimental Farm at Sakha Agricultural Research Station, Sakha, Kafr El-Sheikh, Egypt, during the period from 2017 to 2020. The results of the analysis of variance showed that highly significant variations were recorded between the studied genotypes for all traits. The genotypic coefficient of variation (GCV%) and phenotypic (PCV%) coefficient of variation were moderate for plant height, panicles/plant, panicle weight, spikelets/panicle, filled grains/panicle, grain yield/plant and amylose content percentage for the first-year, second-year and combined data. This indicates the existence of beneficial genetic variability that can be exploited to improve these traits. The broad-sense estimates of heritability were high and recorded values higher than 60% for all the studied traits for the two-year and combined data, except for hulling percentage. This indicates that the selection of traits that have high heritability and are less affected by the environment leads to an acceleration of the improvement of these traits. The results from the cluster analysis and principal component analysis revealed a high level of genotypic variation among the studied genotypes and genetic diversity between them. One of the most important outcomes of this study is the successful utilization of genetic resources (germplasm) from ancient varieties and lines of rice in selecting and identifying 17 new restoration lines of rice, which have various improvement purposes in rice and hybrid rice breeding programs.
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spelling pubmed-97780482022-12-23 Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.) Awad-Allah, Mamdouh M. A. Shafie, Wafaa W. M. Alsubeie, Moodi Saham Alatawi, Aishah Safhi, Fatmah Ahmed ALshamrani, Salha Mesfer Albalawi, Doha A. Al-Amrah, Hadba Alshehri, Dikhnah Alshegaihi, Rana M. Basahi, Mohammed A. Masrahi, Abdurrahman S. Genes (Basel) Article Exploration of and understanding diversity and variability in genotypes of germplasm determines the success of rice improvement programs. One of the most important determinants of the success of breeding programs is genetic diversity and inheritance of traits. Genetic variability analysis helps breeders to determine the appropriate selection method and standards to be used to improve the preferred trait. The aim of this study was to estimate genetic components, heritability and to obtain information about genetic diversity using cluster analysis and principal component analysis. Twenty rice genotypes with three replicates in a randomized complete block design were analyzed at the Experimental Farm at Sakha Agricultural Research Station, Sakha, Kafr El-Sheikh, Egypt, during the period from 2017 to 2020. The results of the analysis of variance showed that highly significant variations were recorded between the studied genotypes for all traits. The genotypic coefficient of variation (GCV%) and phenotypic (PCV%) coefficient of variation were moderate for plant height, panicles/plant, panicle weight, spikelets/panicle, filled grains/panicle, grain yield/plant and amylose content percentage for the first-year, second-year and combined data. This indicates the existence of beneficial genetic variability that can be exploited to improve these traits. The broad-sense estimates of heritability were high and recorded values higher than 60% for all the studied traits for the two-year and combined data, except for hulling percentage. This indicates that the selection of traits that have high heritability and are less affected by the environment leads to an acceleration of the improvement of these traits. The results from the cluster analysis and principal component analysis revealed a high level of genotypic variation among the studied genotypes and genetic diversity between them. One of the most important outcomes of this study is the successful utilization of genetic resources (germplasm) from ancient varieties and lines of rice in selecting and identifying 17 new restoration lines of rice, which have various improvement purposes in rice and hybrid rice breeding programs. MDPI 2022-11-27 /pmc/articles/PMC9778048/ /pubmed/36553494 http://dx.doi.org/10.3390/genes13122227 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Awad-Allah, Mamdouh M. A.
Shafie, Wafaa W. M.
Alsubeie, Moodi Saham
Alatawi, Aishah
Safhi, Fatmah Ahmed
ALshamrani, Salha Mesfer
Albalawi, Doha A.
Al-Amrah, Hadba
Alshehri, Dikhnah
Alshegaihi, Rana M.
Basahi, Mohammed A.
Masrahi, Abdurrahman S.
Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.)
title Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.)
title_full Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.)
title_fullStr Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.)
title_full_unstemmed Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.)
title_short Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.)
title_sort utilization of genetic resources, genetic diversity and genetic variability for selecting new restorer lines of rice (oryza sativa l.)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778048/
https://www.ncbi.nlm.nih.gov/pubmed/36553494
http://dx.doi.org/10.3390/genes13122227
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