Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions
Drought is the major abiotic stress to rice grain yield under unpredictable changing climatic scenarios. The widely grown, high yielding but drought susceptible rice varieties need to be improved by unraveling the genomic regions controlling traits enhancing drought tolerance. The present study was...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Frontiers Media
2017
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| Online Access: | https://hdl.handle.net/10568/164979 |
| _version_ | 1855531092011909120 |
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| author | Catolos, Margaret Sandhu, Nitika Dixit, Shalabh Shamsudin, Noraziya A. A. Naredo, Ma E. B. McNally, Kenneth L. Henry, Amelia Diaz, Ma G. Kumar, Arvind |
| author_browse | Catolos, Margaret Diaz, Ma G. Dixit, Shalabh Henry, Amelia Kumar, Arvind McNally, Kenneth L. Naredo, Ma E. B. Sandhu, Nitika Shamsudin, Noraziya A. A. |
| author_facet | Catolos, Margaret Sandhu, Nitika Dixit, Shalabh Shamsudin, Noraziya A. A. Naredo, Ma E. B. McNally, Kenneth L. Henry, Amelia Diaz, Ma G. Kumar, Arvind |
| author_sort | Catolos, Margaret |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Drought is the major abiotic stress to rice grain yield under unpredictable changing climatic scenarios. The widely grown, high yielding but drought susceptible rice varieties need to be improved by unraveling the genomic regions controlling traits enhancing drought tolerance. The present study was conducted with the aim to identify quantitative trait loci (QTLs) for grain yield and root development traits under irrigated non-stress and reproductive-stage drought stress in both lowland and upland situations. A mapping population consisting of 480 lines derived from a cross between Dular (drought-tolerant) and IR64-21 (drought susceptible) was used. QTL analysis revealed three major consistent-effect QTLs for grain yield (qDTY1.1, qDTY1.3, and qDTY8.1) under non-stress and reproductive-stage drought stress conditions, and 2 QTLs for root traits (qRT9.1 for root-growth angle and qRT5.1 for multiple root traits, i.e., seedling-stage root length, root dry weight and crown root number). The genetic locus qDTY1.1 was identified as hotspot for grain yield and yield-related agronomic and root traits. The study identified significant positive correlations among numbers of crown roots and mesocotyl length at the seedling stage and root length and root dry weight at depth at later stages with grain yield and yield-related traits. Under reproductive stage drought stress, the grain yield advantage of the lines with QTLs ranged from 24.1 to 108.9% under upland and 3.0–22.7% under lowland conditions over the lines without QTLs. The lines with QTL combinations qDTY1.3+qDTY8.1 showed the highest mean grain yield advantage followed by lines having qDTY1.1+qDTY8.1 and qDTY1.1+qDTY8.1+qDTY1.3, across upland/lowland reproductive-stage drought stress. The identified QTLs for root traits, mesocotyl length, grain yield and yield-related traits can be immediately deployed in marker-assisted breeding to develop drought tolerant high yielding rice varieties. |
| format | Journal Article |
| id | CGSpace164979 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1649792025-02-26T13:42:14Z Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions Catolos, Margaret Sandhu, Nitika Dixit, Shalabh Shamsudin, Noraziya A. A. Naredo, Ma E. B. McNally, Kenneth L. Henry, Amelia Diaz, Ma G. Kumar, Arvind Drought is the major abiotic stress to rice grain yield under unpredictable changing climatic scenarios. The widely grown, high yielding but drought susceptible rice varieties need to be improved by unraveling the genomic regions controlling traits enhancing drought tolerance. The present study was conducted with the aim to identify quantitative trait loci (QTLs) for grain yield and root development traits under irrigated non-stress and reproductive-stage drought stress in both lowland and upland situations. A mapping population consisting of 480 lines derived from a cross between Dular (drought-tolerant) and IR64-21 (drought susceptible) was used. QTL analysis revealed three major consistent-effect QTLs for grain yield (qDTY1.1, qDTY1.3, and qDTY8.1) under non-stress and reproductive-stage drought stress conditions, and 2 QTLs for root traits (qRT9.1 for root-growth angle and qRT5.1 for multiple root traits, i.e., seedling-stage root length, root dry weight and crown root number). The genetic locus qDTY1.1 was identified as hotspot for grain yield and yield-related agronomic and root traits. The study identified significant positive correlations among numbers of crown roots and mesocotyl length at the seedling stage and root length and root dry weight at depth at later stages with grain yield and yield-related traits. Under reproductive stage drought stress, the grain yield advantage of the lines with QTLs ranged from 24.1 to 108.9% under upland and 3.0–22.7% under lowland conditions over the lines without QTLs. The lines with QTL combinations qDTY1.3+qDTY8.1 showed the highest mean grain yield advantage followed by lines having qDTY1.1+qDTY8.1 and qDTY1.1+qDTY8.1+qDTY1.3, across upland/lowland reproductive-stage drought stress. The identified QTLs for root traits, mesocotyl length, grain yield and yield-related traits can be immediately deployed in marker-assisted breeding to develop drought tolerant high yielding rice varieties. 2017-10-16 2024-12-19T12:54:35Z 2024-12-19T12:54:35Z Journal Article https://hdl.handle.net/10568/164979 en Open Access Frontiers Media Catolos, Margaret; Sandhu, Nitika; Dixit, Shalabh; Shamsudin, Noraziya A. A.; Naredo, Ma E. B.; McNally, Kenneth L.; Henry, Amelia; Diaz, Ma G. and Kumar, Arvind. 2017. Contrasting tocol ratios associated with seed longevity in rice variety groups. Front. Plant Sci., Volume 8 |
| spellingShingle | Catolos, Margaret Sandhu, Nitika Dixit, Shalabh Shamsudin, Noraziya A. A. Naredo, Ma E. B. McNally, Kenneth L. Henry, Amelia Diaz, Ma G. Kumar, Arvind Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions |
| title | Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions |
| title_full | Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions |
| title_fullStr | Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions |
| title_full_unstemmed | Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions |
| title_short | Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions |
| title_sort | genetic loci governing grain yield and root development under variable rice cultivation conditions |
| url | https://hdl.handle.net/10568/164979 |
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