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http://krishi.icar.gov.in/jspui/handle/123456789/70573
Title: | Identification of QTLs for high grain yield and component traits in new plant types of rice |
Other Titles: | Not Available |
Authors: | Ravindra Donde Shibani Mohapatra S. K. Yasin Baksh Barada Padhy Mitadru Mukherjee Somnath Roy Krishnendu Chattopadhyay A Anandan Padmini Swain Khirod Kumar Sahoo Onkar Nath Singh Lambodar Behera Sushanta Kumar Dash |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Rice Research Institute Department of Botany, Ravenshaw University, Cuttack, Odisha |
Published/ Complete Date: | 2020-07-16 |
Project Code: | Not Available |
Keywords: | Rice New plant type Yield QTL |
Publisher: | PLoS |
Citation: | Donde R, Mohapatra S, Baksh SKY, Padhy B, Mukherjee M, Roy S, et al. (2020) Identification of QTLs for high grain yield and component traits in new plant types of rice. PLoS ONE 15(7): e0227785. https://doi.org/10.1371/ journal.pone.0227785 |
Series/Report no.: | Not Available; |
Abstract/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 sit- uation for grain yield per se and component traits. Twenty NPT genotypes were found prom- ising 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 transgres- sive 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, respec- tively. 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 pro- spective increment in yield potentiality and breaking yield ceiling. |
Description: | Not Available |
Type(s) of content: | Journal |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | PLOS ONE |
NAAS Rating: | 9.24 |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://doi.org/10.1371/journal.pone.0227785 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/70573 |
Appears in Collections: | CS-NRRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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journal.pone.0227785.pdf | 3.41 MB | Adobe PDF | View/Open |
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