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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...

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Autores principales: Catolos, Margaret, Sandhu, Nitika, Dixit, Shalabh, Shamsudin, Noraziya A. A., Naredo, Ma E. B., McNally, Kenneth L., Henry, Amelia, Diaz, Ma G., Kumar, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5650699/
https://www.ncbi.nlm.nih.gov/pubmed/29085383
http://dx.doi.org/10.3389/fpls.2017.01763
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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_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 PubMed
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 (qDTY(1.1), qDTY(1.3), and qDTY(8.1)) under non-stress and reproductive-stage drought stress conditions, and 2 QTLs for root traits (qRT(9.1) for root-growth angle and qRT(5.1) for multiple root traits, i.e., seedling-stage root length, root dry weight and crown root number). The genetic locus qDTY(1.1) 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 qDTY(1.3)+qDTY(8.1) showed the highest mean grain yield advantage followed by lines having qDTY(1.1)+qDTY(8.1) and qDTY(1.1)+qDTY(8.1)+qDTY(1.3), 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.
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spelling pubmed-56506992017-10-30 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 Front Plant Sci Plant Science 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 (qDTY(1.1), qDTY(1.3), and qDTY(8.1)) under non-stress and reproductive-stage drought stress conditions, and 2 QTLs for root traits (qRT(9.1) for root-growth angle and qRT(5.1) for multiple root traits, i.e., seedling-stage root length, root dry weight and crown root number). The genetic locus qDTY(1.1) 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 qDTY(1.3)+qDTY(8.1) showed the highest mean grain yield advantage followed by lines having qDTY(1.1)+qDTY(8.1) and qDTY(1.1)+qDTY(8.1)+qDTY(1.3), 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. Frontiers Media S.A. 2017-10-16 /pmc/articles/PMC5650699/ /pubmed/29085383 http://dx.doi.org/10.3389/fpls.2017.01763 Text en Copyright © 2017 Catolos, Sandhu, Dixit, Shamsudin, Naredo, McNally, Henry, Diaz and Kumar. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
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
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5650699/
https://www.ncbi.nlm.nih.gov/pubmed/29085383
http://dx.doi.org/10.3389/fpls.2017.01763
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