Genetic loci governing grain yield and root development under variable rice cultivation conditions

Margaret Catolos, Nitika Sandhu, Shalabh Dixit, Noraziyah Abd Aziz Shamsudin, Ma E.B. Naredo, Kenneth L. McNally, Amelia Henry, Ma G. Diaz, Arvind Kumar

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number1763
JournalFrontiers in Plant Science
Volume8
DOIs
Publication statusPublished - 16 Oct 2017

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grain yield
rice
quantitative trait loci
loci
drought
water stress
lowlands
highlands
tree crown
seedlings
drought tolerance
abiotic stress
root growth
genomics
breeding

Keywords

  • Drought
  • Food security
  • Grain yield
  • QTL
  • Rice
  • Root traits

ASJC Scopus subject areas

  • Plant Science

Cite this

Genetic loci governing grain yield and root development under variable rice cultivation conditions. / Catolos, Margaret; Sandhu, Nitika; Dixit, Shalabh; Abd Aziz Shamsudin, Noraziyah; Naredo, Ma E.B.; McNally, Kenneth L.; Henry, Amelia; Diaz, Ma G.; Kumar, Arvind.

In: Frontiers in Plant Science, Vol. 8, 1763, 16.10.2017.

Research output: Contribution to journalArticle

Catolos, Margaret ; Sandhu, Nitika ; Dixit, Shalabh ; Abd Aziz Shamsudin, Noraziyah ; 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. In: Frontiers in Plant Science. 2017 ; Vol. 8.
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AB - 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.

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