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Identification of QTLs for high grain yield and component traits in new plant types of rice
A panel of 60 genotypes comprising New Plant Types (NPTs) along with indica, tropical and temperate japonica genotypes was phenotypically evaluated for four seasons in irrigated situation for grain yield per se and component traits. Twenty NPT genotypes were found promising with an average grain yie...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365460/ https://www.ncbi.nlm.nih.gov/pubmed/32673318 http://dx.doi.org/10.1371/journal.pone.0227785 |
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author | Donde, Ravindra Mohapatra, Shibani Baksh, S. K. Yasin Padhy, Barada Mukherjee, Mitadru Roy, Somnath Chattopadhyay, Krishnendu Anandan, A. Swain, Padmini Sahoo, Khirod Kumar Singh, Onkar Nath Behera, Lambodar Dash, Sushanta Kumar |
author_facet | Donde, Ravindra Mohapatra, Shibani Baksh, S. K. Yasin Padhy, Barada Mukherjee, Mitadru Roy, Somnath Chattopadhyay, Krishnendu Anandan, A. Swain, Padmini Sahoo, Khirod Kumar Singh, Onkar Nath Behera, Lambodar Dash, Sushanta Kumar |
author_sort | Donde, Ravindra |
collection | PubMed |
description | A panel of 60 genotypes comprising New Plant Types (NPTs) along with indica, tropical and temperate japonica genotypes was phenotypically evaluated for four seasons in irrigated situation for grain yield per se and component traits. Twenty NPT genotypes were found promising with an average grain yield varying from 5.45 to 8.8 t/ha. A total of 85 SSR markers were used in the study to identify QTLs associated with grain yield per se and related traits. Sixty-six (77.65%) markers were found to be polymorphic. The PIC values varied from 0.516 to 0.92 with an average of 0.704. A moderate level of genetic diversity (0.39) was detected among genotypes. Variation to the tune of 8% within genotypes, 68% among the genotypes within the population and 24% among the populations were observed (AMOVA). This information may help in identification of potential parents for development of transgressive segregants with very high yield. The association analysis using GLM and MLM models led to the identification of 30 and 10 SSR markers associated with 70 and 16 QTLs, respectively. Thirty novel QTLs linked with 16 SSRs were identified to be associated with eleven traits, namely tiller number (qTL-6.1, qTL-11.1, qTL-4.1), panicle length (qPL-1.1, qPL-5.1, qPL-7.1, qPL-8.1), flag leaf length (qFLL-8.1, qFLL-9.1), flag leaf width (qFLW-6.2, qFLW-5.1, qFLW-8.1, qFLW-7.1), total no. of grains (qTG-2.2, qTG-a7.1), thousand-grain weight (qTGW-a1.1, qTGW-a9.2, qTGW-5.1, qTGW-8.1), fertile grains (qFG-7.1), seed length-breadth ratio (qSlb-3.1), plant height (qPHT-6.1, qPHT-9.1), days to 50% flowering (qFD-1.1) and grain yield per se (qYLD-5.1, qYLD-6.1a, qYLD-11.1).Some of the SSRs were co-localized with more than two traits. The highest co-localization was identified with RM5709 linked to nine traits, followed by RM297 with five traits. Similarly, RM5575, RM204, RM168, RM112, RM26499 and RM22899 were also recorded to be co-localized with more than one trait and could be rated as important for marker-assisted backcross breeding programs, for pyramiding of these QTLs for important yield traits, to produce new-generation rice for prospective increment in yield potentiality and breaking yield ceiling. |
format | Online Article Text |
id | pubmed-7365460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-73654602020-08-05 Identification of QTLs for high grain yield and component traits in new plant types of rice Donde, Ravindra Mohapatra, Shibani Baksh, S. K. Yasin Padhy, Barada Mukherjee, Mitadru Roy, Somnath Chattopadhyay, Krishnendu Anandan, A. Swain, Padmini Sahoo, Khirod Kumar Singh, Onkar Nath Behera, Lambodar Dash, Sushanta Kumar PLoS One Research Article A panel of 60 genotypes comprising New Plant Types (NPTs) along with indica, tropical and temperate japonica genotypes was phenotypically evaluated for four seasons in irrigated situation for grain yield per se and component traits. Twenty NPT genotypes were found promising with an average grain yield varying from 5.45 to 8.8 t/ha. A total of 85 SSR markers were used in the study to identify QTLs associated with grain yield per se and related traits. Sixty-six (77.65%) markers were found to be polymorphic. The PIC values varied from 0.516 to 0.92 with an average of 0.704. A moderate level of genetic diversity (0.39) was detected among genotypes. Variation to the tune of 8% within genotypes, 68% among the genotypes within the population and 24% among the populations were observed (AMOVA). This information may help in identification of potential parents for development of transgressive segregants with very high yield. The association analysis using GLM and MLM models led to the identification of 30 and 10 SSR markers associated with 70 and 16 QTLs, respectively. Thirty novel QTLs linked with 16 SSRs were identified to be associated with eleven traits, namely tiller number (qTL-6.1, qTL-11.1, qTL-4.1), panicle length (qPL-1.1, qPL-5.1, qPL-7.1, qPL-8.1), flag leaf length (qFLL-8.1, qFLL-9.1), flag leaf width (qFLW-6.2, qFLW-5.1, qFLW-8.1, qFLW-7.1), total no. of grains (qTG-2.2, qTG-a7.1), thousand-grain weight (qTGW-a1.1, qTGW-a9.2, qTGW-5.1, qTGW-8.1), fertile grains (qFG-7.1), seed length-breadth ratio (qSlb-3.1), plant height (qPHT-6.1, qPHT-9.1), days to 50% flowering (qFD-1.1) and grain yield per se (qYLD-5.1, qYLD-6.1a, qYLD-11.1).Some of the SSRs were co-localized with more than two traits. The highest co-localization was identified with RM5709 linked to nine traits, followed by RM297 with five traits. Similarly, RM5575, RM204, RM168, RM112, RM26499 and RM22899 were also recorded to be co-localized with more than one trait and could be rated as important for marker-assisted backcross breeding programs, for pyramiding of these QTLs for important yield traits, to produce new-generation rice for prospective increment in yield potentiality and breaking yield ceiling. Public Library of Science 2020-07-16 /pmc/articles/PMC7365460/ /pubmed/32673318 http://dx.doi.org/10.1371/journal.pone.0227785 Text en © 2020 Donde et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Donde, Ravindra Mohapatra, Shibani Baksh, S. K. Yasin Padhy, Barada Mukherjee, Mitadru Roy, Somnath Chattopadhyay, Krishnendu Anandan, A. Swain, Padmini Sahoo, Khirod Kumar Singh, Onkar Nath Behera, Lambodar Dash, Sushanta Kumar Identification of QTLs for high grain yield and component traits in new plant types of rice |
title | Identification of QTLs for high grain yield and component traits in new plant types of rice |
title_full | Identification of QTLs for high grain yield and component traits in new plant types of rice |
title_fullStr | Identification of QTLs for high grain yield and component traits in new plant types of rice |
title_full_unstemmed | Identification of QTLs for high grain yield and component traits in new plant types of rice |
title_short | Identification of QTLs for high grain yield and component traits in new plant types of rice |
title_sort | identification of qtls for high grain yield and component traits in new plant types of rice |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365460/ https://www.ncbi.nlm.nih.gov/pubmed/32673318 http://dx.doi.org/10.1371/journal.pone.0227785 |
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