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Quantitative analysis and QTL mapping for agronomic and fiber traits in an RI population of upland cotton
Genetic mapping is an essential tool for cotton (Gossypium hirsutum L.) molecular breeding and application of DNA markers for cotton improvement. In this present study, we evaluated an RI population including 188 RI lines developed from 94 F₂-derived families and their two parental lines, 'HS 4...
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Published in: | Euphytica 2009-01, Vol.165 (2), p.231-245 |
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description | Genetic mapping is an essential tool for cotton (Gossypium hirsutum L.) molecular breeding and application of DNA markers for cotton improvement. In this present study, we evaluated an RI population including 188 RI lines developed from 94 F₂-derived families and their two parental lines, 'HS 46' and 'MARCABUCAG8US-1-88', at Mississippi State, MS, for two years. Fourteen agronomic and fiber traits were measured. One hundred forty one (141) polymorphic SSR markers were screened for this population and 125 markers were used to construct a linkage map. Twenty six linkage groups were constructed, covering 125 SSR loci and 965 cM of overall map distance. Twenty four linkage groups (115 SSR loci) were assigned to specific chromosomes. Quantitative genetic analysis showed that the genotypic effects accounted for more than 20% of the phenotypic variation for all traits except fiber perimeter (18%). Fifty six QTLs (LOD > 3.0) associated with 14 agronomic and fiber traits were located on 17 chromosomes. One QTL associated with fiber elongation was located on linkage group LGU01. Nine chromosomes in sub-A genome harbored 27 QTLs with 10 associated with agronomic traits and 17 with fiber traits. Eight chromosomes in D sub-genome harbored 29 QTLs with 13 associated with agronomic traits and 16 with fiber traits. Chromosomes 3, 5, 12, 13, 14, 16, 20, and 26 harbor important QTLs for both yield and fiber quality compared to other chromosomes. Since this RI population was developed from an intraspecific cross within upland cotton, these QTLs should be useful for marker assisted selection for improving breeding efficiency in cotton line development. |
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In this present study, we evaluated an RI population including 188 RI lines developed from 94 F₂-derived families and their two parental lines, 'HS 46' and 'MARCABUCAG8US-1-88', at Mississippi State, MS, for two years. Fourteen agronomic and fiber traits were measured. One hundred forty one (141) polymorphic SSR markers were screened for this population and 125 markers were used to construct a linkage map. Twenty six linkage groups were constructed, covering 125 SSR loci and 965 cM of overall map distance. Twenty four linkage groups (115 SSR loci) were assigned to specific chromosomes. Quantitative genetic analysis showed that the genotypic effects accounted for more than 20% of the phenotypic variation for all traits except fiber perimeter (18%). Fifty six QTLs (LOD > 3.0) associated with 14 agronomic and fiber traits were located on 17 chromosomes. One QTL associated with fiber elongation was located on linkage group LGU01. Nine chromosomes in sub-A genome harbored 27 QTLs with 10 associated with agronomic traits and 17 with fiber traits. Eight chromosomes in D sub-genome harbored 29 QTLs with 13 associated with agronomic traits and 16 with fiber traits. Chromosomes 3, 5, 12, 13, 14, 16, 20, and 26 harbor important QTLs for both yield and fiber quality compared to other chromosomes. Since this RI population was developed from an intraspecific cross within upland cotton, these QTLs should be useful for marker assisted selection for improving breeding efficiency in cotton line development.</description><identifier>ISSN: 0014-2336</identifier><identifier>EISSN: 1573-5060</identifier><identifier>DOI: 10.1007/s10681-008-9748-8</identifier><identifier>CODEN: EUPHAA</identifier><language>eng</language><publisher>Dordrecht: Dordrecht : Springer Netherlands</publisher><subject>agronomic traits ; Agronomy ; Agronomy. Soil science and plant productions ; Biological and medical sciences ; Biomedical and Life Sciences ; Biotechnology ; chromosome mapping ; Chromosomes ; Cotton ; crop yield ; fiber quality ; fiber traits ; Fundamental and applied biological sciences. Psychology ; Gene mapping ; Genetic linkage ; genetic markers ; Genetics and breeding of economic plants ; Genomics ; Gossypium hirsutum ; inbred lines ; Inbreeding ; Life Sciences ; linkage groups ; lint cotton ; loci ; microsatellite repeats ; phenotypic variation ; Phenotypic variations ; Plant Genetics and Genomics ; Plant Pathology ; Plant Physiology ; Plant reproduction ; Plant Sciences ; quantitative genetics ; quantitative trait loci ; quantitative traits ; recombinant inbred lines</subject><ispartof>Euphytica, 2009-01, Vol.165 (2), p.231-245</ispartof><rights>Springer Science+Business Media B.V. 2008</rights><rights>2009 INIST-CNRS</rights><rights>Springer Science+Business Media B.V. 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-63b37b1cc6c647332a37e7760001cdcab2c382ef21c461ee129e7686692391803</citedby><cites>FETCH-LOGICAL-c435t-63b37b1cc6c647332a37e7760001cdcab2c382ef21c461ee129e7686692391803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21003171$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Jixiang</creatorcontrib><creatorcontrib>Gutierrez, Osman Ariel</creatorcontrib><creatorcontrib>Jenkins, Johnie N</creatorcontrib><creatorcontrib>McCarty, Jack C</creatorcontrib><creatorcontrib>Zhu, Jun</creatorcontrib><title>Quantitative analysis and QTL mapping for agronomic and fiber traits in an RI population of upland cotton</title><title>Euphytica</title><addtitle>Euphytica</addtitle><description>Genetic mapping is an essential tool for cotton (Gossypium hirsutum L.) molecular breeding and application of DNA markers for cotton improvement. In this present study, we evaluated an RI population including 188 RI lines developed from 94 F₂-derived families and their two parental lines, 'HS 46' and 'MARCABUCAG8US-1-88', at Mississippi State, MS, for two years. Fourteen agronomic and fiber traits were measured. One hundred forty one (141) polymorphic SSR markers were screened for this population and 125 markers were used to construct a linkage map. Twenty six linkage groups were constructed, covering 125 SSR loci and 965 cM of overall map distance. Twenty four linkage groups (115 SSR loci) were assigned to specific chromosomes. Quantitative genetic analysis showed that the genotypic effects accounted for more than 20% of the phenotypic variation for all traits except fiber perimeter (18%). Fifty six QTLs (LOD > 3.0) associated with 14 agronomic and fiber traits were located on 17 chromosomes. One QTL associated with fiber elongation was located on linkage group LGU01. Nine chromosomes in sub-A genome harbored 27 QTLs with 10 associated with agronomic traits and 17 with fiber traits. Eight chromosomes in D sub-genome harbored 29 QTLs with 13 associated with agronomic traits and 16 with fiber traits. Chromosomes 3, 5, 12, 13, 14, 16, 20, and 26 harbor important QTLs for both yield and fiber quality compared to other chromosomes. Since this RI population was developed from an intraspecific cross within upland cotton, these QTLs should be useful for marker assisted selection for improving breeding efficiency in cotton line development.</description><subject>agronomic traits</subject><subject>Agronomy</subject><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>chromosome mapping</subject><subject>Chromosomes</subject><subject>Cotton</subject><subject>crop yield</subject><subject>fiber quality</subject><subject>fiber traits</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene mapping</subject><subject>Genetic linkage</subject><subject>genetic markers</subject><subject>Genetics and breeding of economic plants</subject><subject>Genomics</subject><subject>Gossypium hirsutum</subject><subject>inbred lines</subject><subject>Inbreeding</subject><subject>Life Sciences</subject><subject>linkage groups</subject><subject>lint cotton</subject><subject>loci</subject><subject>microsatellite repeats</subject><subject>phenotypic variation</subject><subject>Phenotypic variations</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Pathology</subject><subject>Plant Physiology</subject><subject>Plant reproduction</subject><subject>Plant Sciences</subject><subject>quantitative genetics</subject><subject>quantitative trait loci</subject><subject>quantitative traits</subject><subject>recombinant inbred lines</subject><issn>0014-2336</issn><issn>1573-5060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kE2LFDEQhoMoOK7-AE8GwWNrVao7SR9l8WNhQFZ3zyGTTQ9ZepI2SQv7783Yi3jylJB634fKw9hrhPcIoD4UBKmxA9DdqHrd6Sdsh4OibgAJT9kOAPtOEMnn7EUp9wAwqgF2LFyvNtZQbQ2_PLfRzg8llHa549c3e36yyxLikU8pc3vMKaZTcH-mUzj4zGu2oRYeYnvj36_4kpZ1bqwUeZr4usznqEu1pviSPZvsXPyrx_OC3X7-dHP5tdt_-3J1-XHfuZ6G2kk6kDqgc9LJXhEJS8orJdvG6O6cPQhHWvhJoOsleo9i9EpqKUdBI2qgC_Z24y45_Vx9qeY-rbl9rBgcSfejItFCuIVcTqVkP5klh5PNDwbBnIWaTahpQs1ZqNGt8-4RbIuz85RtdKH8LYpWI1TYcmLLlTaKR5__WeA_8DdbabLJNNMNfPtDABLgIIUUPf0GOKiN3g</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Wu, Jixiang</creator><creator>Gutierrez, Osman Ariel</creator><creator>Jenkins, Johnie N</creator><creator>McCarty, Jack C</creator><creator>Zhu, Jun</creator><general>Dordrecht : Springer Netherlands</general><general>Springer Netherlands</general><general>Springer</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>7TM</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>RC3</scope></search><sort><creationdate>20090101</creationdate><title>Quantitative analysis and QTL mapping for agronomic and fiber traits in an RI population of upland cotton</title><author>Wu, Jixiang ; Gutierrez, Osman Ariel ; Jenkins, Johnie N ; McCarty, Jack C ; Zhu, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c435t-63b37b1cc6c647332a37e7760001cdcab2c382ef21c461ee129e7686692391803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>agronomic traits</topic><topic>Agronomy</topic><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>chromosome mapping</topic><topic>Chromosomes</topic><topic>Cotton</topic><topic>crop yield</topic><topic>fiber quality</topic><topic>fiber traits</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene mapping</topic><topic>Genetic linkage</topic><topic>genetic markers</topic><topic>Genetics and breeding of economic plants</topic><topic>Genomics</topic><topic>Gossypium hirsutum</topic><topic>inbred lines</topic><topic>Inbreeding</topic><topic>Life Sciences</topic><topic>linkage groups</topic><topic>lint cotton</topic><topic>loci</topic><topic>microsatellite repeats</topic><topic>phenotypic variation</topic><topic>Phenotypic variations</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Pathology</topic><topic>Plant Physiology</topic><topic>Plant reproduction</topic><topic>Plant Sciences</topic><topic>quantitative genetics</topic><topic>quantitative trait loci</topic><topic>quantitative traits</topic><topic>recombinant inbred lines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Jixiang</creatorcontrib><creatorcontrib>Gutierrez, Osman Ariel</creatorcontrib><creatorcontrib>Jenkins, Johnie N</creatorcontrib><creatorcontrib>McCarty, Jack C</creatorcontrib><creatorcontrib>Zhu, Jun</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agriculture Science Database</collection><collection>ProQuest Science Journals</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><jtitle>Euphytica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Jixiang</au><au>Gutierrez, Osman Ariel</au><au>Jenkins, Johnie N</au><au>McCarty, Jack C</au><au>Zhu, Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative analysis and QTL mapping for agronomic and fiber traits in an RI population of upland cotton</atitle><jtitle>Euphytica</jtitle><stitle>Euphytica</stitle><date>2009-01-01</date><risdate>2009</risdate><volume>165</volume><issue>2</issue><spage>231</spage><epage>245</epage><pages>231-245</pages><issn>0014-2336</issn><eissn>1573-5060</eissn><coden>EUPHAA</coden><abstract>Genetic mapping is an essential tool for cotton (Gossypium hirsutum L.) molecular breeding and application of DNA markers for cotton improvement. In this present study, we evaluated an RI population including 188 RI lines developed from 94 F₂-derived families and their two parental lines, 'HS 46' and 'MARCABUCAG8US-1-88', at Mississippi State, MS, for two years. Fourteen agronomic and fiber traits were measured. One hundred forty one (141) polymorphic SSR markers were screened for this population and 125 markers were used to construct a linkage map. Twenty six linkage groups were constructed, covering 125 SSR loci and 965 cM of overall map distance. Twenty four linkage groups (115 SSR loci) were assigned to specific chromosomes. Quantitative genetic analysis showed that the genotypic effects accounted for more than 20% of the phenotypic variation for all traits except fiber perimeter (18%). Fifty six QTLs (LOD > 3.0) associated with 14 agronomic and fiber traits were located on 17 chromosomes. One QTL associated with fiber elongation was located on linkage group LGU01. Nine chromosomes in sub-A genome harbored 27 QTLs with 10 associated with agronomic traits and 17 with fiber traits. Eight chromosomes in D sub-genome harbored 29 QTLs with 13 associated with agronomic traits and 16 with fiber traits. Chromosomes 3, 5, 12, 13, 14, 16, 20, and 26 harbor important QTLs for both yield and fiber quality compared to other chromosomes. Since this RI population was developed from an intraspecific cross within upland cotton, these QTLs should be useful for marker assisted selection for improving breeding efficiency in cotton line development.</abstract><cop>Dordrecht</cop><pub>Dordrecht : Springer Netherlands</pub><doi>10.1007/s10681-008-9748-8</doi><tpages>15</tpages></addata></record> |
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subjects | agronomic traits Agronomy Agronomy. Soil science and plant productions Biological and medical sciences Biomedical and Life Sciences Biotechnology chromosome mapping Chromosomes Cotton crop yield fiber quality fiber traits Fundamental and applied biological sciences. Psychology Gene mapping Genetic linkage genetic markers Genetics and breeding of economic plants Genomics Gossypium hirsutum inbred lines Inbreeding Life Sciences linkage groups lint cotton loci microsatellite repeats phenotypic variation Phenotypic variations Plant Genetics and Genomics Plant Pathology Plant Physiology Plant reproduction Plant Sciences quantitative genetics quantitative trait loci quantitative traits recombinant inbred lines |
title | Quantitative analysis and QTL mapping for agronomic and fiber traits in an RI population of upland cotton |
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