Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities
Fine-mapping studies on four QTLs, qDTY 2.1 , qDTY 2.2 , qDTY 9.1 and qDTY 12.1 , for grain yield (GY) under drought were conducted using four different backcross-derived populations screened in 16 experiments from 2006 to 2010. Composite and Bayesian interval mapping analyses resolved the originall...
Gespeichert in:
| Veröffentlicht in: | Theoretical and applied genetics 2012-06, Vol.125 (1), p.155-169 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 169 |
|---|---|
| container_issue | 1 |
| container_start_page | 155 |
| container_title | Theoretical and applied genetics |
| container_volume | 125 |
| creator | Dixit, Shalabh Swamy, B. P. Mallikarjuna Vikram, Prashant Ahmed, H. U. Sta Cruz, M. T. Amante, Modesto Atri, Dinesh Leung, Hei Kumar, Arvind |
| description | Fine-mapping studies on four QTLs,
qDTY
2.1
,
qDTY
2.2
,
qDTY
9.1
and
qDTY
12.1
, for grain yield (GY) under drought were conducted using four different backcross-derived populations screened in 16 experiments from 2006 to 2010. Composite and Bayesian interval mapping analyses resolved the originally identified
qDTY
2.1
region of 42.3 cM into a segment of 1.6 cM, the
qDTY
2.2
region of 31.0 cM into a segment of 6.7 cM, the
qDTY
9.1
region of 32.1 cM into two segments of 9.4 and 2.4 cM and the
qDTY
12.1
region of 10.6 cM into two segments of 3.1 and 0.4 cM. Two of the four QTLs (
qDTY
9.1
and
qDTY
12.1
) having effects under varying degrees of stress severity showed the presence of more than one region within the original QTL. The study found the presence of a donor allele at RM262 within
qDTY
2.1
and RM24334 within
qDTY
9.1
showing a negative effect on GY under drought, indicating the necessity of precise fine mapping of QTL regions before using them in marker-assisted selection (MAS). However, the presence of sub-QTLs together in close vicinity to each other provides a unique opportunity to breeders to introgress such regions together as a unit into high-yielding drought-susceptible varieties through MAS. |
| doi_str_mv | 10.1007/s00122-012-1823-9 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1017976972</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A365072796</galeid><sourcerecordid>A365072796</sourcerecordid><originalsourceid>FETCH-LOGICAL-c506t-f7c91aa5c8964fff972be9358f19c2f4c00e1e9d771c804fc7f2797bc5717d853</originalsourceid><addsrcrecordid>eNqNkl9r1jAUxoMo7nX6AbyRgDfuojN_mqa5HMPNwQuizuuQpic1o21q0o7twu9uundOX1GQwAkkv-fhnORB6CUlx5QQ-TYRQhkrcilozXihHqENLTkrGCvZY7QhpCSFkIIdoGcpXRFCmCD8KTpgjFdUlfUGfT_zI-DBTJMfOxwc_ni5TdiFiKO3gLto_IhvPfQtXsYWIm5jWLqvM45wDaZPOC1NcaexYXQQ42pj8m2awpgAzwFfm-hN08ODNGVp9LOH9Bw9cdkEXtzvh-jL2bvL0_fF9sP5xenJtrCCVHPhpFXUGGFrVZXOOSVZA4qL2lFlmSstIUBBtVJSW5PSWemYVLKxQlLZ1oIfojc73ymGbwukWQ8-Weh7M0JYkqaEZr7Kvv-DckXrivCMvv4DvQpLHPMgd1TFayXYL6ozPWg_ujBHY1dTfcIrQWRutcrU8V-ovFoYfH5acD6f7wmO9gSZmeFm7sySkr74_GmfpTvWxpBSBKen6AcTb3Ofek2S3iVJ56LXJGmVNa_uh1uaAdoHxc_oZIDtgDStnw7x9-n_5foDh4zQsw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1013638952</pqid></control><display><type>article</type><title>Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities</title><source>MEDLINE</source><source>SpringerLink (Online service)</source><creator>Dixit, Shalabh ; Swamy, B. P. Mallikarjuna ; Vikram, Prashant ; Ahmed, H. U. ; Sta Cruz, M. T. ; Amante, Modesto ; Atri, Dinesh ; Leung, Hei ; Kumar, Arvind</creator><creatorcontrib>Dixit, Shalabh ; Swamy, B. P. Mallikarjuna ; Vikram, Prashant ; Ahmed, H. U. ; Sta Cruz, M. T. ; Amante, Modesto ; Atri, Dinesh ; Leung, Hei ; Kumar, Arvind</creatorcontrib><description>Fine-mapping studies on four QTLs,
qDTY
2.1
,
qDTY
2.2
,
qDTY
9.1
and
qDTY
12.1
, for grain yield (GY) under drought were conducted using four different backcross-derived populations screened in 16 experiments from 2006 to 2010. Composite and Bayesian interval mapping analyses resolved the originally identified
qDTY
2.1
region of 42.3 cM into a segment of 1.6 cM, the
qDTY
2.2
region of 31.0 cM into a segment of 6.7 cM, the
qDTY
9.1
region of 32.1 cM into two segments of 9.4 and 2.4 cM and the
qDTY
12.1
region of 10.6 cM into two segments of 3.1 and 0.4 cM. Two of the four QTLs (
qDTY
9.1
and
qDTY
12.1
) having effects under varying degrees of stress severity showed the presence of more than one region within the original QTL. The study found the presence of a donor allele at RM262 within
qDTY
2.1
and RM24334 within
qDTY
9.1
showing a negative effect on GY under drought, indicating the necessity of precise fine mapping of QTL regions before using them in marker-assisted selection (MAS). However, the presence of sub-QTLs together in close vicinity to each other provides a unique opportunity to breeders to introgress such regions together as a unit into high-yielding drought-susceptible varieties through MAS.</description><identifier>ISSN: 0040-5752</identifier><identifier>EISSN: 1432-2242</identifier><identifier>DOI: 10.1007/s00122-012-1823-9</identifier><identifier>PMID: 22361948</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Agriculture ; Biochemistry ; Biomedical and Life Sciences ; Biotechnology ; Chromosome mapping ; Chromosomes ; Crop yields ; Drought ; Droughts ; Environmental aspects ; Genetic aspects ; Genetic Markers ; India ; Influence ; Inheritance Patterns - genetics ; Life Sciences ; Lod Score ; Morphology ; Original Paper ; Oryza - genetics ; Oryza - growth & development ; Oryza sativa ; Phenotype ; Philippines ; Physical Chromosome Mapping - methods ; Physiological aspects ; Plant Biochemistry ; Plant Breeding/Biotechnology ; Plant Genetics and Genomics ; Population Dynamics ; Quantitative trait loci ; Quantitative Trait Loci - genetics ; Quantitative Trait, Heritable ; Seeds - genetics ; Seeds - growth & development</subject><ispartof>Theoretical and applied genetics, 2012-06, Vol.125 (1), p.155-169</ispartof><rights>Springer-Verlag 2012</rights><rights>COPYRIGHT 2012 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c506t-f7c91aa5c8964fff972be9358f19c2f4c00e1e9d771c804fc7f2797bc5717d853</citedby><cites>FETCH-LOGICAL-c506t-f7c91aa5c8964fff972be9358f19c2f4c00e1e9d771c804fc7f2797bc5717d853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00122-012-1823-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00122-012-1823-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22361948$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dixit, Shalabh</creatorcontrib><creatorcontrib>Swamy, B. P. Mallikarjuna</creatorcontrib><creatorcontrib>Vikram, Prashant</creatorcontrib><creatorcontrib>Ahmed, H. U.</creatorcontrib><creatorcontrib>Sta Cruz, M. T.</creatorcontrib><creatorcontrib>Amante, Modesto</creatorcontrib><creatorcontrib>Atri, Dinesh</creatorcontrib><creatorcontrib>Leung, Hei</creatorcontrib><creatorcontrib>Kumar, Arvind</creatorcontrib><title>Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities</title><title>Theoretical and applied genetics</title><addtitle>Theor Appl Genet</addtitle><addtitle>Theor Appl Genet</addtitle><description>Fine-mapping studies on four QTLs,
qDTY
2.1
,
qDTY
2.2
,
qDTY
9.1
and
qDTY
12.1
, for grain yield (GY) under drought were conducted using four different backcross-derived populations screened in 16 experiments from 2006 to 2010. Composite and Bayesian interval mapping analyses resolved the originally identified
qDTY
2.1
region of 42.3 cM into a segment of 1.6 cM, the
qDTY
2.2
region of 31.0 cM into a segment of 6.7 cM, the
qDTY
9.1
region of 32.1 cM into two segments of 9.4 and 2.4 cM and the
qDTY
12.1
region of 10.6 cM into two segments of 3.1 and 0.4 cM. Two of the four QTLs (
qDTY
9.1
and
qDTY
12.1
) having effects under varying degrees of stress severity showed the presence of more than one region within the original QTL. The study found the presence of a donor allele at RM262 within
qDTY
2.1
and RM24334 within
qDTY
9.1
showing a negative effect on GY under drought, indicating the necessity of precise fine mapping of QTL regions before using them in marker-assisted selection (MAS). However, the presence of sub-QTLs together in close vicinity to each other provides a unique opportunity to breeders to introgress such regions together as a unit into high-yielding drought-susceptible varieties through MAS.</description><subject>Agriculture</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Chromosome mapping</subject><subject>Chromosomes</subject><subject>Crop yields</subject><subject>Drought</subject><subject>Droughts</subject><subject>Environmental aspects</subject><subject>Genetic aspects</subject><subject>Genetic Markers</subject><subject>India</subject><subject>Influence</subject><subject>Inheritance Patterns - genetics</subject><subject>Life Sciences</subject><subject>Lod Score</subject><subject>Morphology</subject><subject>Original Paper</subject><subject>Oryza - genetics</subject><subject>Oryza - growth & development</subject><subject>Oryza sativa</subject><subject>Phenotype</subject><subject>Philippines</subject><subject>Physical Chromosome Mapping - methods</subject><subject>Physiological aspects</subject><subject>Plant Biochemistry</subject><subject>Plant Breeding/Biotechnology</subject><subject>Plant Genetics and Genomics</subject><subject>Population Dynamics</subject><subject>Quantitative trait loci</subject><subject>Quantitative Trait Loci - genetics</subject><subject>Quantitative Trait, Heritable</subject><subject>Seeds - genetics</subject><subject>Seeds - growth & development</subject><issn>0040-5752</issn><issn>1432-2242</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkl9r1jAUxoMo7nX6AbyRgDfuojN_mqa5HMPNwQuizuuQpic1o21q0o7twu9uundOX1GQwAkkv-fhnORB6CUlx5QQ-TYRQhkrcilozXihHqENLTkrGCvZY7QhpCSFkIIdoGcpXRFCmCD8KTpgjFdUlfUGfT_zI-DBTJMfOxwc_ni5TdiFiKO3gLto_IhvPfQtXsYWIm5jWLqvM45wDaZPOC1NcaexYXQQ42pj8m2awpgAzwFfm-hN08ODNGVp9LOH9Bw9cdkEXtzvh-jL2bvL0_fF9sP5xenJtrCCVHPhpFXUGGFrVZXOOSVZA4qL2lFlmSstIUBBtVJSW5PSWemYVLKxQlLZ1oIfojc73ymGbwukWQ8-Weh7M0JYkqaEZr7Kvv-DckXrivCMvv4DvQpLHPMgd1TFayXYL6ozPWg_ujBHY1dTfcIrQWRutcrU8V-ovFoYfH5acD6f7wmO9gSZmeFm7sySkr74_GmfpTvWxpBSBKen6AcTb3Ofek2S3iVJ56LXJGmVNa_uh1uaAdoHxc_oZIDtgDStnw7x9-n_5foDh4zQsw</recordid><startdate>20120601</startdate><enddate>20120601</enddate><creator>Dixit, Shalabh</creator><creator>Swamy, B. P. Mallikarjuna</creator><creator>Vikram, Prashant</creator><creator>Ahmed, H. U.</creator><creator>Sta Cruz, M. T.</creator><creator>Amante, Modesto</creator><creator>Atri, Dinesh</creator><creator>Leung, Hei</creator><creator>Kumar, Arvind</creator><general>Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7SS</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20120601</creationdate><title>Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities</title><author>Dixit, Shalabh ; Swamy, B. P. Mallikarjuna ; Vikram, Prashant ; Ahmed, H. U. ; Sta Cruz, M. T. ; Amante, Modesto ; Atri, Dinesh ; Leung, Hei ; Kumar, Arvind</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c506t-f7c91aa5c8964fff972be9358f19c2f4c00e1e9d771c804fc7f2797bc5717d853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Agriculture</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Chromosome mapping</topic><topic>Chromosomes</topic><topic>Crop yields</topic><topic>Drought</topic><topic>Droughts</topic><topic>Environmental aspects</topic><topic>Genetic aspects</topic><topic>Genetic Markers</topic><topic>India</topic><topic>Influence</topic><topic>Inheritance Patterns - genetics</topic><topic>Life Sciences</topic><topic>Lod Score</topic><topic>Morphology</topic><topic>Original Paper</topic><topic>Oryza - genetics</topic><topic>Oryza - growth & development</topic><topic>Oryza sativa</topic><topic>Phenotype</topic><topic>Philippines</topic><topic>Physical Chromosome Mapping - methods</topic><topic>Physiological aspects</topic><topic>Plant Biochemistry</topic><topic>Plant Breeding/Biotechnology</topic><topic>Plant Genetics and Genomics</topic><topic>Population Dynamics</topic><topic>Quantitative trait loci</topic><topic>Quantitative Trait Loci - genetics</topic><topic>Quantitative Trait, Heritable</topic><topic>Seeds - genetics</topic><topic>Seeds - growth & development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dixit, Shalabh</creatorcontrib><creatorcontrib>Swamy, B. P. Mallikarjuna</creatorcontrib><creatorcontrib>Vikram, Prashant</creatorcontrib><creatorcontrib>Ahmed, H. U.</creatorcontrib><creatorcontrib>Sta Cruz, M. T.</creatorcontrib><creatorcontrib>Amante, Modesto</creatorcontrib><creatorcontrib>Atri, Dinesh</creatorcontrib><creatorcontrib>Leung, Hei</creatorcontrib><creatorcontrib>Kumar, Arvind</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest - Health & Medical Complete保健、医学与药学数据库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Theoretical and applied genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dixit, Shalabh</au><au>Swamy, B. P. Mallikarjuna</au><au>Vikram, Prashant</au><au>Ahmed, H. U.</au><au>Sta Cruz, M. T.</au><au>Amante, Modesto</au><au>Atri, Dinesh</au><au>Leung, Hei</au><au>Kumar, Arvind</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities</atitle><jtitle>Theoretical and applied genetics</jtitle><stitle>Theor Appl Genet</stitle><addtitle>Theor Appl Genet</addtitle><date>2012-06-01</date><risdate>2012</risdate><volume>125</volume><issue>1</issue><spage>155</spage><epage>169</epage><pages>155-169</pages><issn>0040-5752</issn><eissn>1432-2242</eissn><abstract>Fine-mapping studies on four QTLs,
qDTY
2.1
,
qDTY
2.2
,
qDTY
9.1
and
qDTY
12.1
, for grain yield (GY) under drought were conducted using four different backcross-derived populations screened in 16 experiments from 2006 to 2010. Composite and Bayesian interval mapping analyses resolved the originally identified
qDTY
2.1
region of 42.3 cM into a segment of 1.6 cM, the
qDTY
2.2
region of 31.0 cM into a segment of 6.7 cM, the
qDTY
9.1
region of 32.1 cM into two segments of 9.4 and 2.4 cM and the
qDTY
12.1
region of 10.6 cM into two segments of 3.1 and 0.4 cM. Two of the four QTLs (
qDTY
9.1
and
qDTY
12.1
) having effects under varying degrees of stress severity showed the presence of more than one region within the original QTL. The study found the presence of a donor allele at RM262 within
qDTY
2.1
and RM24334 within
qDTY
9.1
showing a negative effect on GY under drought, indicating the necessity of precise fine mapping of QTL regions before using them in marker-assisted selection (MAS). However, the presence of sub-QTLs together in close vicinity to each other provides a unique opportunity to breeders to introgress such regions together as a unit into high-yielding drought-susceptible varieties through MAS.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>22361948</pmid><doi>10.1007/s00122-012-1823-9</doi><tpages>15</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0040-5752 |
| ispartof | Theoretical and applied genetics, 2012-06, Vol.125 (1), p.155-169 |
| issn | 0040-5752 1432-2242 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1017976972 |
| source | MEDLINE; SpringerLink (Online service) |
| subjects | Agriculture Biochemistry Biomedical and Life Sciences Biotechnology Chromosome mapping Chromosomes Crop yields Drought Droughts Environmental aspects Genetic aspects Genetic Markers India Influence Inheritance Patterns - genetics Life Sciences Lod Score Morphology Original Paper Oryza - genetics Oryza - growth & development Oryza sativa Phenotype Philippines Physical Chromosome Mapping - methods Physiological aspects Plant Biochemistry Plant Breeding/Biotechnology Plant Genetics and Genomics Population Dynamics Quantitative trait loci Quantitative Trait Loci - genetics Quantitative Trait, Heritable Seeds - genetics Seeds - growth & development |
| title | Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T07%3A58%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fine%20mapping%20of%20QTLs%20for%20rice%20grain%20yield%20under%20drought%20reveals%20sub-QTLs%20conferring%20a%20response%20to%20variable%20drought%20severities&rft.jtitle=Theoretical%20and%20applied%20genetics&rft.au=Dixit,%20Shalabh&rft.date=2012-06-01&rft.volume=125&rft.issue=1&rft.spage=155&rft.epage=169&rft.pages=155-169&rft.issn=0040-5752&rft.eissn=1432-2242&rft_id=info:doi/10.1007/s00122-012-1823-9&rft_dat=%3Cgale_proqu%3EA365072796%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1013638952&rft_id=info:pmid/22361948&rft_galeid=A365072796&rfr_iscdi=true |