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    <responseDate>2026-10-13T13:39:01Z</responseDate>
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    <identifier>10.57760/sciencedb.j00268.00010</identifier>
    <datestamp>2026-06-01T17:44:11Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-06-01</dc:date>
  <dc:title>Whole-genome resequencing and transcriptome dataset for QTL mapping of yellow stem borer resistance in rice</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00268.00010</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset originates from a genetic dissection study of yellow stem borer (Scirpophaga incertulas) resistance in rice. A high-density bin map comprising 3,327 bin markers (spanning 2,136.8 cM) was constructed via whole-genome resequencing of 265 F9 recombinant inbred lines derived from resistant parent A232 and susceptible parent G46B. A major QTL, qTir04, was detected on chromosome 4 and validated using near-isogenic lines. The dataset includes: (1) whole-genome resequencing raw data of parents and RIL population; (2) bin genetic map data; (3) field phenotype data (dead heart index) of RIL and NIL populations; (4) RNA-seq transcriptome data of NIL materials. This dataset provides genetically validated QTL intervals and closely linked molecular markers for rice insect-resistant molecular breeding.</dc:description>
  <dc:subject>rice; yellow stem borer; QTL mapping; resequencing; RNA-seq; recombinant inbred line; near-isogenic line</dc:subject>
  <dc:creator>戴晶</dc:creator>
  <dc:creator>李传旭</dc:creator>
  <dc:creator>张建国</dc:creator>
  <dc:creator>刘珂</dc:creator>
  <dc:creator>李永洪</dc:creator>
  <dc:creator>马伟华</dc:creator>
  <dc:creator>郭建平</dc:creator>
  <dc:creator>周菲</dc:creator>
  <dc:creator>林拥军</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1016/j.jia.2026.05.047</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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