Genotyping-by-sequencing based QTL mapping for rice grain yield under reproductive stage drought stress tolerance
QTLs for rice grain yield under reproductive stage drought stress (qDTY) identified earlier with low density markers have shown linkage drag and need to be fine mapped before their utilization in breeding programs. In this study, genotyping-by-sequencing (GBS) based high-density linkage map of rice...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Springer
2019
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| Online Access: | https://hdl.handle.net/10568/164615 |
| _version_ | 1855514959952216064 |
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| author | Yadav, Shailesh Sandhu, Nitika Singh, Vikas Kumar Catolos, Margaret Kumar, Arvind |
| author_browse | Catolos, Margaret Kumar, Arvind Sandhu, Nitika Singh, Vikas Kumar Yadav, Shailesh |
| author_facet | Yadav, Shailesh Sandhu, Nitika Singh, Vikas Kumar Catolos, Margaret Kumar, Arvind |
| author_sort | Yadav, Shailesh |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | QTLs for rice grain yield under reproductive stage drought stress (qDTY) identified earlier with low density markers have shown linkage drag and need to be fine mapped before their utilization in breeding programs. In this study, genotyping-by-sequencing (GBS) based high-density linkage map of rice was developed using two BC1F3 mapping populations namely Swarna*2/Dular (3929 SNPs covering 1454.68 cM) and IR11N121*2/Aus196 (1191 SNPs covering 1399.68 cM) with average marker density of 0.37 cM to 1.18 cM respectively. In total, six qDTY QTLs including three consistent effect QTLs were identified in Swarna*2/Dular while eight qDTY QTLs including two consistent effect QTLs were identified in IR11N121*2/Aus 196 mapping population. Comparative analysis revealed four stable and novel QTLs (qDTY2.4, qDTY3.3, qDTY6.3, and qDTY11.2) which explained 8.62 to 14.92% PVE. However, one of the identified stable grain yield QTL qDTY1.1 in both the populations was located nearly at the same physical position of an earlier mapped major qDTY QTL. Further, the effect of the identified qDTY1.1 was validated in a subset of lines derived from five mapping populations confirming robustness of qDTY1.1 across various genetic backgrounds/seasons. The study successfully identified stable grain yield QTLs free from undesirable linkages of tall plant height/early maturity utilizing high density linkage maps. |
| format | Journal Article |
| id | CGSpace164615 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1646152024-12-19T14:11:51Z Genotyping-by-sequencing based QTL mapping for rice grain yield under reproductive stage drought stress tolerance Yadav, Shailesh Sandhu, Nitika Singh, Vikas Kumar Catolos, Margaret Kumar, Arvind QTLs for rice grain yield under reproductive stage drought stress (qDTY) identified earlier with low density markers have shown linkage drag and need to be fine mapped before their utilization in breeding programs. In this study, genotyping-by-sequencing (GBS) based high-density linkage map of rice was developed using two BC1F3 mapping populations namely Swarna*2/Dular (3929 SNPs covering 1454.68 cM) and IR11N121*2/Aus196 (1191 SNPs covering 1399.68 cM) with average marker density of 0.37 cM to 1.18 cM respectively. In total, six qDTY QTLs including three consistent effect QTLs were identified in Swarna*2/Dular while eight qDTY QTLs including two consistent effect QTLs were identified in IR11N121*2/Aus 196 mapping population. Comparative analysis revealed four stable and novel QTLs (qDTY2.4, qDTY3.3, qDTY6.3, and qDTY11.2) which explained 8.62 to 14.92% PVE. However, one of the identified stable grain yield QTL qDTY1.1 in both the populations was located nearly at the same physical position of an earlier mapped major qDTY QTL. Further, the effect of the identified qDTY1.1 was validated in a subset of lines derived from five mapping populations confirming robustness of qDTY1.1 across various genetic backgrounds/seasons. The study successfully identified stable grain yield QTLs free from undesirable linkages of tall plant height/early maturity utilizing high density linkage maps. 2019-10-04 2024-12-19T12:54:07Z 2024-12-19T12:54:07Z Journal Article https://hdl.handle.net/10568/164615 en Open Access Springer Yadav, Shailesh; Sandhu, Nitika; Singh, Vikas Kumar; Catolos, Margaret and Kumar, Arvind. 2019. Genotyping-by-sequencing based QTL mapping for rice grain yield under reproductive stage drought stress tolerance. Sci Rep, Volume 9, no. 1 |
| spellingShingle | Yadav, Shailesh Sandhu, Nitika Singh, Vikas Kumar Catolos, Margaret Kumar, Arvind Genotyping-by-sequencing based QTL mapping for rice grain yield under reproductive stage drought stress tolerance |
| title | Genotyping-by-sequencing based QTL mapping for rice grain yield under reproductive stage drought stress tolerance |
| title_full | Genotyping-by-sequencing based QTL mapping for rice grain yield under reproductive stage drought stress tolerance |
| title_fullStr | Genotyping-by-sequencing based QTL mapping for rice grain yield under reproductive stage drought stress tolerance |
| title_full_unstemmed | Genotyping-by-sequencing based QTL mapping for rice grain yield under reproductive stage drought stress tolerance |
| title_short | Genotyping-by-sequencing based QTL mapping for rice grain yield under reproductive stage drought stress tolerance |
| title_sort | genotyping by sequencing based qtl mapping for rice grain yield under reproductive stage drought stress tolerance |
| url | https://hdl.handle.net/10568/164615 |
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