<mets:mets OBJID="eprint_10724" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2023-07-05T01:35:38Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>OAR@ICRISAT</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_10724_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>A multi-dimensional approach from seed-to-seed to understand and improve heat stress tolerance in rice</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">S K</mods:namePart><mods:namePart type="family">Mangrauthia</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">V</mods:namePart><mods:namePart type="family">Vishnu Prasanth</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">B</mods:namePart><mods:namePart type="family">Sailaja</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">N</mods:namePart><mods:namePart type="family">Sarla</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S R</mods:namePart><mods:namePart type="family">Voleti</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">D</mods:namePart><mods:namePart type="family">Subrahmanyam</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">V R</mods:namePart><mods:namePart type="family">Babu</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>In changing climatic conditions, stress caused by high temperature&#13;
poses a serious threat to rice cultivation. Physiological,&#13;
biochemical, and molecular analysis of rice cultivars revealed&#13;
that Nagina22 (N22) shows lesser reduction in chlorophyll content,&#13;
net photosynthetic rate, spikelet fertility and grain yield,&#13;
but increased membrane thermal stability, antioxidant enzymes&#13;
activity and transpiration rate (E) at high temperature. DREB,&#13;
RAB, LEA, and genes associated with hormones signalling were&#13;
induced during germination, while OsFd (an iron sulphur cluster&#13;
binding protein) and CWIP (cell wall integrity protein) emerged&#13;
as high priority candidate genes in seedling and reproductive&#13;
stages. Their function is being analysed by transgene expression&#13;
and CRISPR/Cas genome editing approaches. Field screening&#13;
in polyhouse, late sowing and temperature gradient chamber&#13;
for 20 morpho-physiological traits indicated the importance of&#13;
both yield and spikelet fertility, and photosynthesis traits. N22&#13;
showed the least Heat Susceptibility Index (HSI) for yield/plant,&#13;
spikelet fertility, flag leaf SPAD and stomatal conductance, while&#13;
Vandana showed the highest HSI for spikelet fertility and flag leaf&#13;
temperature. QTLs for HSI of spikelet fertility were identified on&#13;
chromosome 1 and HSI of yield per plant on chromosomes 1, 2, 3,&#13;
4, 7 and 8; and PV of 6% to 57% using 174 F2-3 Vandana x N22&#13;
mapping population. Simultaneously, RNAseq was performed&#13;
to identify the genome wide miRNAs and transcriptome of N22&#13;
and Vandana from shoot and root after short and long duration&#13;
of heat stress treatments; and recovery phase for an eQTL-guided&#13;
function-related co-expression analysis to identify the putative&#13;
regulators and gene regulatory networks.</mods:abstract><mods:classification authority="lcc">Abiotic Stress</mods:classification><mods:classification authority="lcc">Crop Improvement</mods:classification><mods:classification authority="lcc">Rice</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2017-02</mods:dateIssued></mods:originInfo><mods:genre>Conference or Workshop Item</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_10724"><mets:rightsMD ID="rights_eprint_10724_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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