Mapping QTLs for Plant Phenology and Production Traits Using Indica Rice (Oryza sativa L.) Lines Adapted to Rainfed Environment
Drought is a major abiotic stress limiting rice production and yield stability in rainfed ecosystems. Identifying quantitative trait loci (QTL) for rice yield and yield components under water limited environments will help to develop drought resilient cultivars using marker assisted breeding (MAB) s...
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| Veröffentlicht in: | Molecular biotechnology 2012-10, Vol.52 (2), p.151-160 |
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| creator | Suji, K. K Biji, K. R Poornima, R Prince, K. Silvas Jebakumar Amudha, K Kavitha, S Mankar, Sumeet Babu, R. Chandra |
| description | Drought is a major abiotic stress limiting rice production and yield stability in rainfed ecosystems. Identifying quantitative trait loci (QTL) for rice yield and yield components under water limited environments will help to develop drought resilient cultivars using marker assisted breeding (MAB) strategy. A total of 232 recombinant inbred lines of IR62266/Norungan were used to map QTLs for plant phenology and production traits under rainfed condition in target population of environments. A total of 79 QTLs for plant phenology and production traits with phenotypic variation ranging from 4.4 to 72.8% were detected under non-stress and drought stress conditions across two locations. Consistent QTLs for phenology and production traits were detected across experiments and water regimes. The QTL region, RM204–RM197–RM217 on chromosome 6 was linked to days to 50% flowering and grain yield per plant under both rainfed and irrigated conditions. The same genomic region, RM585–RM204–RM197 was also linked to harvest index under rainfed condition with positive alleles from Norungan, a local landrace. QTLs for plant production and drought resistance traits co-located near RM585–RM204–RM197–RM217 region on chromosome 6 in several rice genotypes. Thus with further fine mapping, this region may be useful as a candidate QTL for MAB, map-based cloning of genes and functional genomics studies for rainfed rice improvement. |
| doi_str_mv | 10.1007/s12033-011-9482-7 |
| format | Article |
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Lines Adapted to Rainfed Environment</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Suji, K. K ; Biji, K. R ; Poornima, R ; Prince, K. Silvas Jebakumar ; Amudha, K ; Kavitha, S ; Mankar, Sumeet ; Babu, R. Chandra</creator><creatorcontrib>Suji, K. K ; Biji, K. R ; Poornima, R ; Prince, K. Silvas Jebakumar ; Amudha, K ; Kavitha, S ; Mankar, Sumeet ; Babu, R. Chandra</creatorcontrib><description>Drought is a major abiotic stress limiting rice production and yield stability in rainfed ecosystems. Identifying quantitative trait loci (QTL) for rice yield and yield components under water limited environments will help to develop drought resilient cultivars using marker assisted breeding (MAB) strategy. A total of 232 recombinant inbred lines of IR62266/Norungan were used to map QTLs for plant phenology and production traits under rainfed condition in target population of environments. A total of 79 QTLs for plant phenology and production traits with phenotypic variation ranging from 4.4 to 72.8% were detected under non-stress and drought stress conditions across two locations. Consistent QTLs for phenology and production traits were detected across experiments and water regimes. The QTL region, RM204–RM197–RM217 on chromosome 6 was linked to days to 50% flowering and grain yield per plant under both rainfed and irrigated conditions. The same genomic region, RM585–RM204–RM197 was also linked to harvest index under rainfed condition with positive alleles from Norungan, a local landrace. QTLs for plant production and drought resistance traits co-located near RM585–RM204–RM197–RM217 region on chromosome 6 in several rice genotypes. Thus with further fine mapping, this region may be useful as a candidate QTL for MAB, map-based cloning of genes and functional genomics studies for rainfed rice improvement.</description><identifier>ISSN: 1073-6085</identifier><identifier>EISSN: 1559-0305</identifier><identifier>DOI: 10.1007/s12033-011-9482-7</identifier><identifier>PMID: 22198727</identifier><identifier>CODEN: MLBOEO</identifier><language>eng</language><publisher>New York: Springer-Verlag</publisher><subject>Adaptation, Physiological ; alleles ; Biochemistry ; Biological and medical sciences ; Biological Techniques ; Biotechnology ; breeding ; Cell Biology ; Chemistry ; Chemistry and Materials Science ; chromosome 6 ; Chromosome Mapping - methods ; chromosomes ; Cloning ; Crop production ; Crop yield ; Crops, Agricultural - genetics ; Crops, Agricultural - growth & development ; Cultivars ; drought ; Drought resistance ; drought tolerance ; Droughts ; Ecosystem ; ecosystems ; Flowering ; Fundamental and applied biological sciences. Psychology ; Gene mapping ; Genome, Plant ; Genomics ; Genotype ; Genotype & phenotype ; Genotypes ; Grain ; grain yield ; harvest index ; harvesting ; Human Genetics ; inbred lines ; Inbreeding ; irrigated conditions ; landraces ; Molecular biology ; molecular cloning ; Monoclonal antibodies ; Oryza - genetics ; Oryza - growth & development ; Oryza sativa ; Phenology ; Phenotype ; phenotypic variation ; Phenotypic variations ; Plant biology ; Plant breeding ; Plant production ; Protein Science ; Quantitative trait loci ; Quantitative Trait Loci - genetics ; Rain ; Rice ; Stress ; Water regimes ; water stress</subject><ispartof>Molecular biotechnology, 2012-10, Vol.52 (2), p.151-160</ispartof><rights>Springer Science+Business Media, LLC 2011</rights><rights>2015 INIST-CNRS</rights><rights>Springer Science+Business Media, LLC 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-de5b11f35d956ceb220c3521447b28b591631d30a87f96b07cc61bac40f6683f3</citedby><cites>FETCH-LOGICAL-c459t-de5b11f35d956ceb220c3521447b28b591631d30a87f96b07cc61bac40f6683f3</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/s12033-011-9482-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12033-011-9482-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26407469$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22198727$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Suji, K. K</creatorcontrib><creatorcontrib>Biji, K. R</creatorcontrib><creatorcontrib>Poornima, R</creatorcontrib><creatorcontrib>Prince, K. Silvas Jebakumar</creatorcontrib><creatorcontrib>Amudha, K</creatorcontrib><creatorcontrib>Kavitha, S</creatorcontrib><creatorcontrib>Mankar, Sumeet</creatorcontrib><creatorcontrib>Babu, R. Chandra</creatorcontrib><title>Mapping QTLs for Plant Phenology and Production Traits Using Indica Rice (Oryza sativa L.) Lines Adapted to Rainfed Environment</title><title>Molecular biotechnology</title><addtitle>Mol Biotechnol</addtitle><addtitle>Mol Biotechnol</addtitle><description>Drought is a major abiotic stress limiting rice production and yield stability in rainfed ecosystems. Identifying quantitative trait loci (QTL) for rice yield and yield components under water limited environments will help to develop drought resilient cultivars using marker assisted breeding (MAB) strategy. A total of 232 recombinant inbred lines of IR62266/Norungan were used to map QTLs for plant phenology and production traits under rainfed condition in target population of environments. A total of 79 QTLs for plant phenology and production traits with phenotypic variation ranging from 4.4 to 72.8% were detected under non-stress and drought stress conditions across two locations. Consistent QTLs for phenology and production traits were detected across experiments and water regimes. The QTL region, RM204–RM197–RM217 on chromosome 6 was linked to days to 50% flowering and grain yield per plant under both rainfed and irrigated conditions. The same genomic region, RM585–RM204–RM197 was also linked to harvest index under rainfed condition with positive alleles from Norungan, a local landrace. QTLs for plant production and drought resistance traits co-located near RM585–RM204–RM197–RM217 region on chromosome 6 in several rice genotypes. Thus with further fine mapping, this region may be useful as a candidate QTL for MAB, map-based cloning of genes and functional genomics studies for rainfed rice improvement.</description><subject>Adaptation, Physiological</subject><subject>alleles</subject><subject>Biochemistry</subject><subject>Biological and medical sciences</subject><subject>Biological Techniques</subject><subject>Biotechnology</subject><subject>breeding</subject><subject>Cell Biology</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>chromosome 6</subject><subject>Chromosome Mapping - methods</subject><subject>chromosomes</subject><subject>Cloning</subject><subject>Crop production</subject><subject>Crop yield</subject><subject>Crops, Agricultural - genetics</subject><subject>Crops, Agricultural - growth & development</subject><subject>Cultivars</subject><subject>drought</subject><subject>Drought resistance</subject><subject>drought tolerance</subject><subject>Droughts</subject><subject>Ecosystem</subject><subject>ecosystems</subject><subject>Flowering</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene mapping</subject><subject>Genome, Plant</subject><subject>Genomics</subject><subject>Genotype</subject><subject>Genotype & phenotype</subject><subject>Genotypes</subject><subject>Grain</subject><subject>grain yield</subject><subject>harvest index</subject><subject>harvesting</subject><subject>Human Genetics</subject><subject>inbred lines</subject><subject>Inbreeding</subject><subject>irrigated conditions</subject><subject>landraces</subject><subject>Molecular biology</subject><subject>molecular cloning</subject><subject>Monoclonal antibodies</subject><subject>Oryza - genetics</subject><subject>Oryza - growth & development</subject><subject>Oryza sativa</subject><subject>Phenology</subject><subject>Phenotype</subject><subject>phenotypic variation</subject><subject>Phenotypic variations</subject><subject>Plant biology</subject><subject>Plant breeding</subject><subject>Plant production</subject><subject>Protein Science</subject><subject>Quantitative trait loci</subject><subject>Quantitative Trait Loci - genetics</subject><subject>Rain</subject><subject>Rice</subject><subject>Stress</subject><subject>Water regimes</subject><subject>water stress</subject><issn>1073-6085</issn><issn>1559-0305</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkc1u1DAUhSMEoqXwAGzAEkIqi5RrO47jZVUVqBTUocysI8exB1cZO7WTSsOGV8chw4-QkFj5Sv7O8T0-WfYcwxkG4G8jJkBpDhjnoqhIzh9kx5gxkQMF9jDNwGleQsWOsicx3gIQzAr6ODsiBIuKE36cffsoh8G6Lfq0riMyPqBVL92IVl-0873f7pF0HVoF301qtN6hdZB2jGgTZ9GV66yS6MYqjU6vw_6rRFGO9l6i-uwNqq3TEZ13chh1h0aPbqR1Jo2X7t4G73bajU-zR0b2UT87nCfZ5t3l-uJDXl-_v7o4r3NVMDHmnWYtxoayTrBS6ZYQUJQRXBS8JVXLBC4p7ijIihtRtsCVKnErVQGmLCtq6El2uvgOwd9NOo7Nzkal-xRW-yk2GEpBAEQl_gOlghaMYZbQV3-ht34KLgX5QQHmlFeJwgulgo8xaNMMwe5k2CeomYtsliKbVGQzF9nwpHlxcJ7ane5-KX42l4DXB0BGJXsTpFM2_ubKAnhRzmnIwsV05bY6_Lniv19_uYiM9I3chmS8-UwAM5i_CCpKvwMADLwn</recordid><startdate>20121001</startdate><enddate>20121001</enddate><creator>Suji, K. 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Lines Adapted to Rainfed Environment</title><author>Suji, K. K ; Biji, K. R ; Poornima, R ; Prince, K. Silvas Jebakumar ; Amudha, K ; Kavitha, S ; Mankar, Sumeet ; Babu, R. Chandra</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-de5b11f35d956ceb220c3521447b28b591631d30a87f96b07cc61bac40f6683f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adaptation, Physiological</topic><topic>alleles</topic><topic>Biochemistry</topic><topic>Biological and medical sciences</topic><topic>Biological Techniques</topic><topic>Biotechnology</topic><topic>breeding</topic><topic>Cell Biology</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>chromosome 6</topic><topic>Chromosome Mapping - methods</topic><topic>chromosomes</topic><topic>Cloning</topic><topic>Crop production</topic><topic>Crop yield</topic><topic>Crops, Agricultural - genetics</topic><topic>Crops, Agricultural - growth & development</topic><topic>Cultivars</topic><topic>drought</topic><topic>Drought resistance</topic><topic>drought tolerance</topic><topic>Droughts</topic><topic>Ecosystem</topic><topic>ecosystems</topic><topic>Flowering</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene mapping</topic><topic>Genome, Plant</topic><topic>Genomics</topic><topic>Genotype</topic><topic>Genotype & phenotype</topic><topic>Genotypes</topic><topic>Grain</topic><topic>grain yield</topic><topic>harvest index</topic><topic>harvesting</topic><topic>Human Genetics</topic><topic>inbred lines</topic><topic>Inbreeding</topic><topic>irrigated conditions</topic><topic>landraces</topic><topic>Molecular biology</topic><topic>molecular cloning</topic><topic>Monoclonal antibodies</topic><topic>Oryza - genetics</topic><topic>Oryza - growth & development</topic><topic>Oryza sativa</topic><topic>Phenology</topic><topic>Phenotype</topic><topic>phenotypic variation</topic><topic>Phenotypic variations</topic><topic>Plant biology</topic><topic>Plant breeding</topic><topic>Plant production</topic><topic>Protein Science</topic><topic>Quantitative trait loci</topic><topic>Quantitative Trait Loci - genetics</topic><topic>Rain</topic><topic>Rice</topic><topic>Stress</topic><topic>Water regimes</topic><topic>water stress</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suji, K. 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K</au><au>Biji, K. R</au><au>Poornima, R</au><au>Prince, K. Silvas Jebakumar</au><au>Amudha, K</au><au>Kavitha, S</au><au>Mankar, Sumeet</au><au>Babu, R. Chandra</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping QTLs for Plant Phenology and Production Traits Using Indica Rice (Oryza sativa L.) Lines Adapted to Rainfed Environment</atitle><jtitle>Molecular biotechnology</jtitle><stitle>Mol Biotechnol</stitle><addtitle>Mol Biotechnol</addtitle><date>2012-10-01</date><risdate>2012</risdate><volume>52</volume><issue>2</issue><spage>151</spage><epage>160</epage><pages>151-160</pages><issn>1073-6085</issn><eissn>1559-0305</eissn><coden>MLBOEO</coden><abstract>Drought is a major abiotic stress limiting rice production and yield stability in rainfed ecosystems. Identifying quantitative trait loci (QTL) for rice yield and yield components under water limited environments will help to develop drought resilient cultivars using marker assisted breeding (MAB) strategy. A total of 232 recombinant inbred lines of IR62266/Norungan were used to map QTLs for plant phenology and production traits under rainfed condition in target population of environments. A total of 79 QTLs for plant phenology and production traits with phenotypic variation ranging from 4.4 to 72.8% were detected under non-stress and drought stress conditions across two locations. Consistent QTLs for phenology and production traits were detected across experiments and water regimes. The QTL region, RM204–RM197–RM217 on chromosome 6 was linked to days to 50% flowering and grain yield per plant under both rainfed and irrigated conditions. The same genomic region, RM585–RM204–RM197 was also linked to harvest index under rainfed condition with positive alleles from Norungan, a local landrace. QTLs for plant production and drought resistance traits co-located near RM585–RM204–RM197–RM217 region on chromosome 6 in several rice genotypes. Thus with further fine mapping, this region may be useful as a candidate QTL for MAB, map-based cloning of genes and functional genomics studies for rainfed rice improvement.</abstract><cop>New York</cop><pub>Springer-Verlag</pub><pmid>22198727</pmid><doi>10.1007/s12033-011-9482-7</doi><tpages>10</tpages></addata></record> |
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| subjects | Adaptation, Physiological alleles Biochemistry Biological and medical sciences Biological Techniques Biotechnology breeding Cell Biology Chemistry Chemistry and Materials Science chromosome 6 Chromosome Mapping - methods chromosomes Cloning Crop production Crop yield Crops, Agricultural - genetics Crops, Agricultural - growth & development Cultivars drought Drought resistance drought tolerance Droughts Ecosystem ecosystems Flowering Fundamental and applied biological sciences. Psychology Gene mapping Genome, Plant Genomics Genotype Genotype & phenotype Genotypes Grain grain yield harvest index harvesting Human Genetics inbred lines Inbreeding irrigated conditions landraces Molecular biology molecular cloning Monoclonal antibodies Oryza - genetics Oryza - growth & development Oryza sativa Phenology Phenotype phenotypic variation Phenotypic variations Plant biology Plant breeding Plant production Protein Science Quantitative trait loci Quantitative Trait Loci - genetics Rain Rice Stress Water regimes water stress |
| title | Mapping QTLs for Plant Phenology and Production Traits Using Indica Rice (Oryza sativa L.) Lines Adapted to Rainfed Environment |
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