Cargando…

Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativa L.) Genotypes Based on Quantitative Traits

Upland rice is important for sustainable crop production to meet future food demands. The expansion in area of irrigated rice faces limitations due to water scarcity resulting from climate change. Therefore, this research aimed to identify potential genotypes and suitable traits of upland rice germp...

Descripción completa

Detalles Bibliográficos
Autores principales: Tuhina-Khatun, Mst., Hanafi, Mohamed M., Rafii Yusop, Mohd, Wong, M. Y., Salleh, Faezah M., Ferdous, Jannatul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4518168/
https://www.ncbi.nlm.nih.gov/pubmed/26258135
http://dx.doi.org/10.1155/2015/290861
_version_ 1782383296617906176
author Tuhina-Khatun, Mst.
Hanafi, Mohamed M.
Rafii Yusop, Mohd
Wong, M. Y.
Salleh, Faezah M.
Ferdous, Jannatul
author_facet Tuhina-Khatun, Mst.
Hanafi, Mohamed M.
Rafii Yusop, Mohd
Wong, M. Y.
Salleh, Faezah M.
Ferdous, Jannatul
author_sort Tuhina-Khatun, Mst.
collection PubMed
description Upland rice is important for sustainable crop production to meet future food demands. The expansion in area of irrigated rice faces limitations due to water scarcity resulting from climate change. Therefore, this research aimed to identify potential genotypes and suitable traits of upland rice germplasm for breeding programmes. Forty-three genotypes were evaluated in a randomised complete block design with three replications. All genotypes exhibited a wide and significant variation for 22 traits. The highest phenotypic and genotypic coefficient of variation was recorded for the number of filled grains/panicle and yields/plant (g). The highest heritability was found for photosynthetic rate, transpiration rate, stomatal conductance, intercellular CO(2), and number of filled grains/panicle and yields/plant (g). Cluster analysis based on 22 traits grouped the 43 rice genotypes into five clusters. Cluster II was the largest and consisted of 20 genotypes mostly originating from the Philippines. The first four principle components of 22 traits accounted for about 72% of the total variation and indicated a wide variation among the genotypes. The selected best trait of the number of filled grains/panicle and yields/plant (g), which showed high heritability and high genetic advance, could be used as a selection criterion for hybridisation programmes in the future.
format Online
Article
Text
id pubmed-4518168
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-45181682015-08-09 Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativa L.) Genotypes Based on Quantitative Traits Tuhina-Khatun, Mst. Hanafi, Mohamed M. Rafii Yusop, Mohd Wong, M. Y. Salleh, Faezah M. Ferdous, Jannatul Biomed Res Int Research Article Upland rice is important for sustainable crop production to meet future food demands. The expansion in area of irrigated rice faces limitations due to water scarcity resulting from climate change. Therefore, this research aimed to identify potential genotypes and suitable traits of upland rice germplasm for breeding programmes. Forty-three genotypes were evaluated in a randomised complete block design with three replications. All genotypes exhibited a wide and significant variation for 22 traits. The highest phenotypic and genotypic coefficient of variation was recorded for the number of filled grains/panicle and yields/plant (g). The highest heritability was found for photosynthetic rate, transpiration rate, stomatal conductance, intercellular CO(2), and number of filled grains/panicle and yields/plant (g). Cluster analysis based on 22 traits grouped the 43 rice genotypes into five clusters. Cluster II was the largest and consisted of 20 genotypes mostly originating from the Philippines. The first four principle components of 22 traits accounted for about 72% of the total variation and indicated a wide variation among the genotypes. The selected best trait of the number of filled grains/panicle and yields/plant (g), which showed high heritability and high genetic advance, could be used as a selection criterion for hybridisation programmes in the future. Hindawi Publishing Corporation 2015 2015-07-15 /pmc/articles/PMC4518168/ /pubmed/26258135 http://dx.doi.org/10.1155/2015/290861 Text en Copyright © 2015 Mst. Tuhina-Khatun et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tuhina-Khatun, Mst.
Hanafi, Mohamed M.
Rafii Yusop, Mohd
Wong, M. Y.
Salleh, Faezah M.
Ferdous, Jannatul
Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativa L.) Genotypes Based on Quantitative Traits
title Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativa L.) Genotypes Based on Quantitative Traits
title_full Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativa L.) Genotypes Based on Quantitative Traits
title_fullStr Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativa L.) Genotypes Based on Quantitative Traits
title_full_unstemmed Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativa L.) Genotypes Based on Quantitative Traits
title_short Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativa L.) Genotypes Based on Quantitative Traits
title_sort genetic variation, heritability, and diversity analysis of upland rice (oryza sativa l.) genotypes based on quantitative traits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4518168/
https://www.ncbi.nlm.nih.gov/pubmed/26258135
http://dx.doi.org/10.1155/2015/290861
work_keys_str_mv AT tuhinakhatunmst geneticvariationheritabilityanddiversityanalysisofuplandriceoryzasativalgenotypesbasedonquantitativetraits
AT hanafimohamedm geneticvariationheritabilityanddiversityanalysisofuplandriceoryzasativalgenotypesbasedonquantitativetraits
AT rafiiyusopmohd geneticvariationheritabilityanddiversityanalysisofuplandriceoryzasativalgenotypesbasedonquantitativetraits
AT wongmy geneticvariationheritabilityanddiversityanalysisofuplandriceoryzasativalgenotypesbasedonquantitativetraits
AT sallehfaezahm geneticvariationheritabilityanddiversityanalysisofuplandriceoryzasativalgenotypesbasedonquantitativetraits
AT ferdousjannatul geneticvariationheritabilityanddiversityanalysisofuplandriceoryzasativalgenotypesbasedonquantitativetraits