Quantitative Trait Loci Mapping of Seed Hardness in Soybean
Soybean [Glycine max (L.) Merr.] seeds with undesirable texture cause processing complications in soyfood production. Seed hardness is an important quality attribute for food-grade soybeans. The objective of this study was to identify quantitative trait loci (QTLs) associated with seed hardness in s...
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| Veröffentlicht in: | Crop science 2008-07, Vol.48 (4), p.1341-1349 |
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| creator | Zhang, B Chen, P Chen, C.Y Wang, D Shi, A Hou, A Ishibashi, T |
| description | Soybean [Glycine max (L.) Merr.] seeds with undesirable texture cause processing complications in soyfood production. Seed hardness is an important quality attribute for food-grade soybeans. The objective of this study was to identify quantitative trait loci (QTLs) associated with seed hardness in soybean. Three generations of F2-derived lines (159 F2:3, F2:4, and F2:5 lines) from a soft ('SS-516') x hard ('Camp') soybean cross were grown in a replicated test in Fayetteville, AR, in 2003, 2004, and 2005. Pressure-cooked samples from each line were tested for seed hardness using a texture analyzer. A total of 874 simple sequence repeat (SSR) markers were used to screen the parents; 177 out of 236 polymorphic markers between the parents showed polymorphism in the F2:3 lines. A linkage map for seed hardness was established using 148 SSR markers, 15 of which were new and added to the current public soybean genetic linkage map. All identified markers were placed on 19 linkage groups (LGs) and covered 1363.7 cM of the soybean genome with an average distance of 9.6 cM between markers. Broad-sense heritability was estimated to be 0.56 for seed hardness. Two stable QTLs across environments (Ha1 and Ha2, p < 0.00001) were identified near Satt229 on LG L and Satt531 on LG D1a, respectively, for the average seed hardness over 3 yr. Ha1 had a logarithmic odds score of 6.17 with R2 = 12.7%; Ha2 had a score of 5.08 with R2 = 36.1%. A dominance-by-dominance interaction was detected between Ha1 and Ha2, explaining 7.9% of the phenotypic variance. Research is under way to confirm the identified QTLs for soybean seed hardness in multiple populations with different genetic backgrounds. |
| doi_str_mv | 10.2135/cropsci2007.10.0544 |
| format | Article |
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Merr.] seeds with undesirable texture cause processing complications in soyfood production. Seed hardness is an important quality attribute for food-grade soybeans. The objective of this study was to identify quantitative trait loci (QTLs) associated with seed hardness in soybean. Three generations of F2-derived lines (159 F2:3, F2:4, and F2:5 lines) from a soft ('SS-516') x hard ('Camp') soybean cross were grown in a replicated test in Fayetteville, AR, in 2003, 2004, and 2005. Pressure-cooked samples from each line were tested for seed hardness using a texture analyzer. A total of 874 simple sequence repeat (SSR) markers were used to screen the parents; 177 out of 236 polymorphic markers between the parents showed polymorphism in the F2:3 lines. A linkage map for seed hardness was established using 148 SSR markers, 15 of which were new and added to the current public soybean genetic linkage map. All identified markers were placed on 19 linkage groups (LGs) and covered 1363.7 cM of the soybean genome with an average distance of 9.6 cM between markers. Broad-sense heritability was estimated to be 0.56 for seed hardness. Two stable QTLs across environments (Ha1 and Ha2, p < 0.00001) were identified near Satt229 on LG L and Satt531 on LG D1a, respectively, for the average seed hardness over 3 yr. Ha1 had a logarithmic odds score of 6.17 with R2 = 12.7%; Ha2 had a score of 5.08 with R2 = 36.1%. A dominance-by-dominance interaction was detected between Ha1 and Ha2, explaining 7.9% of the phenotypic variance. Research is under way to confirm the identified QTLs for soybean seed hardness in multiple populations with different genetic backgrounds.</description><identifier>ISSN: 0011-183X</identifier><identifier>EISSN: 1435-0653</identifier><identifier>DOI: 10.2135/cropsci2007.10.0544</identifier><identifier>CODEN: CRPSAY</identifier><language>eng</language><publisher>Madison: Crop Science Society of America</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; chromosome mapping ; Flowers & plants ; food processing quality ; Fundamental and applied biological sciences. Psychology ; Gene mapping ; Genetic engineering ; genetic markers ; Genetics and breeding of economic plants ; Genomics ; genotype ; Glycine max ; Hardness ; linkage (genetics) ; Methods ; microsatellite repeats ; molecular sequence data ; quantitative trait loci ; Seeds ; Shear tests ; Soybeans</subject><ispartof>Crop science, 2008-07, Vol.48 (4), p.1341-1349</ispartof><rights>Copyright © by the Crop Science Society of America, Inc.</rights><rights>2008 INIST-CNRS</rights><rights>Copyright American Society of Agronomy Jul/Aug 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4394-c9eb4b17b79c8c89d77c25715f7fddafccade63e3315940522055513a9e93f993</citedby><cites>FETCH-LOGICAL-c4394-c9eb4b17b79c8c89d77c25715f7fddafccade63e3315940522055513a9e93f993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.2135%2Fcropsci2007.10.0544$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.2135%2Fcropsci2007.10.0544$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27922,27923,45572,45573</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20525039$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, B</creatorcontrib><creatorcontrib>Chen, P</creatorcontrib><creatorcontrib>Chen, C.Y</creatorcontrib><creatorcontrib>Wang, D</creatorcontrib><creatorcontrib>Shi, A</creatorcontrib><creatorcontrib>Hou, A</creatorcontrib><creatorcontrib>Ishibashi, T</creatorcontrib><title>Quantitative Trait Loci Mapping of Seed Hardness in Soybean</title><title>Crop science</title><description>Soybean [Glycine max (L.) Merr.] seeds with undesirable texture cause processing complications in soyfood production. Seed hardness is an important quality attribute for food-grade soybeans. The objective of this study was to identify quantitative trait loci (QTLs) associated with seed hardness in soybean. Three generations of F2-derived lines (159 F2:3, F2:4, and F2:5 lines) from a soft ('SS-516') x hard ('Camp') soybean cross were grown in a replicated test in Fayetteville, AR, in 2003, 2004, and 2005. Pressure-cooked samples from each line were tested for seed hardness using a texture analyzer. A total of 874 simple sequence repeat (SSR) markers were used to screen the parents; 177 out of 236 polymorphic markers between the parents showed polymorphism in the F2:3 lines. A linkage map for seed hardness was established using 148 SSR markers, 15 of which were new and added to the current public soybean genetic linkage map. All identified markers were placed on 19 linkage groups (LGs) and covered 1363.7 cM of the soybean genome with an average distance of 9.6 cM between markers. Broad-sense heritability was estimated to be 0.56 for seed hardness. Two stable QTLs across environments (Ha1 and Ha2, p < 0.00001) were identified near Satt229 on LG L and Satt531 on LG D1a, respectively, for the average seed hardness over 3 yr. Ha1 had a logarithmic odds score of 6.17 with R2 = 12.7%; Ha2 had a score of 5.08 with R2 = 36.1%. A dominance-by-dominance interaction was detected between Ha1 and Ha2, explaining 7.9% of the phenotypic variance. Research is under way to confirm the identified QTLs for soybean seed hardness in multiple populations with different genetic backgrounds.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>chromosome mapping</subject><subject>Flowers & plants</subject><subject>food processing quality</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene mapping</subject><subject>Genetic engineering</subject><subject>genetic markers</subject><subject>Genetics and breeding of economic plants</subject><subject>Genomics</subject><subject>genotype</subject><subject>Glycine max</subject><subject>Hardness</subject><subject>linkage (genetics)</subject><subject>Methods</subject><subject>microsatellite repeats</subject><subject>molecular sequence data</subject><subject>quantitative trait loci</subject><subject>Seeds</subject><subject>Shear tests</subject><subject>Soybeans</subject><issn>0011-183X</issn><issn>1435-0653</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkE9r3DAQxUVJoJttP0EPNYHk5u1IslYWOQWTbQJb8scJ9CZmZSkoOLYreVv221dml1Jyymng8Zs3bx4hXygsGOXimwn9EI1nAHKRNBBF8YHMaMFFDkvBj8gMgNKclvznR3IS4wskUkkxIxf3W-xGP-Lof9vsMaAfs3VvfPYDh8F3z1nvstraJrvG0HQ2xsx3Wd3vNha7T-TYYRvt58Ock6fV1WN1na9vv99Ul-vcFFwVuVF2U2yo3EhlSlOqRkrDhKTCSdc06IzBxi655ZwKVYBgDIQQlKOyijul-Jyc732H0P_a2jjqVx-NbVvsbL-NmoHiSgBN4Okb8KXfhi5l04yyJS-XpUwQ30OptBiDdXoI_hXDTlPQU5v6vzYnbWozbZ0drDEabF3Azvj4bzVFZgL4lHW15_741u7eY62rumLVw-1dXd1MOoXDwa97I4e9xueQjj3VLD0JoCgrSsH_AvxSkzU</recordid><startdate>200807</startdate><enddate>200807</enddate><creator>Zhang, B</creator><creator>Chen, P</creator><creator>Chen, C.Y</creator><creator>Wang, D</creator><creator>Shi, A</creator><creator>Hou, A</creator><creator>Ishibashi, T</creator><general>Crop Science Society of America</general><general>American Society of Agronomy</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>S0X</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>200807</creationdate><title>Quantitative Trait Loci Mapping of Seed Hardness in Soybean</title><author>Zhang, B ; Chen, P ; Chen, C.Y ; Wang, D ; Shi, A ; Hou, A ; Ishibashi, T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4394-c9eb4b17b79c8c89d77c25715f7fddafccade63e3315940522055513a9e93f993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>chromosome mapping</topic><topic>Flowers & plants</topic><topic>food processing quality</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene mapping</topic><topic>Genetic engineering</topic><topic>genetic markers</topic><topic>Genetics and breeding of economic plants</topic><topic>Genomics</topic><topic>genotype</topic><topic>Glycine max</topic><topic>Hardness</topic><topic>linkage (genetics)</topic><topic>Methods</topic><topic>microsatellite repeats</topic><topic>molecular sequence data</topic><topic>quantitative trait loci</topic><topic>Seeds</topic><topic>Shear tests</topic><topic>Soybeans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, B</creatorcontrib><creatorcontrib>Chen, P</creatorcontrib><creatorcontrib>Chen, C.Y</creatorcontrib><creatorcontrib>Wang, D</creatorcontrib><creatorcontrib>Shi, A</creatorcontrib><creatorcontrib>Hou, A</creatorcontrib><creatorcontrib>Ishibashi, T</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Science Database (ProQuest)</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>SIRS Editorial</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Crop science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, B</au><au>Chen, P</au><au>Chen, C.Y</au><au>Wang, D</au><au>Shi, A</au><au>Hou, A</au><au>Ishibashi, T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative Trait Loci Mapping of Seed Hardness in Soybean</atitle><jtitle>Crop science</jtitle><date>2008-07</date><risdate>2008</risdate><volume>48</volume><issue>4</issue><spage>1341</spage><epage>1349</epage><pages>1341-1349</pages><issn>0011-183X</issn><eissn>1435-0653</eissn><coden>CRPSAY</coden><abstract>Soybean [Glycine max (L.) Merr.] seeds with undesirable texture cause processing complications in soyfood production. Seed hardness is an important quality attribute for food-grade soybeans. The objective of this study was to identify quantitative trait loci (QTLs) associated with seed hardness in soybean. Three generations of F2-derived lines (159 F2:3, F2:4, and F2:5 lines) from a soft ('SS-516') x hard ('Camp') soybean cross were grown in a replicated test in Fayetteville, AR, in 2003, 2004, and 2005. Pressure-cooked samples from each line were tested for seed hardness using a texture analyzer. A total of 874 simple sequence repeat (SSR) markers were used to screen the parents; 177 out of 236 polymorphic markers between the parents showed polymorphism in the F2:3 lines. A linkage map for seed hardness was established using 148 SSR markers, 15 of which were new and added to the current public soybean genetic linkage map. All identified markers were placed on 19 linkage groups (LGs) and covered 1363.7 cM of the soybean genome with an average distance of 9.6 cM between markers. Broad-sense heritability was estimated to be 0.56 for seed hardness. Two stable QTLs across environments (Ha1 and Ha2, p < 0.00001) were identified near Satt229 on LG L and Satt531 on LG D1a, respectively, for the average seed hardness over 3 yr. Ha1 had a logarithmic odds score of 6.17 with R2 = 12.7%; Ha2 had a score of 5.08 with R2 = 36.1%. A dominance-by-dominance interaction was detected between Ha1 and Ha2, explaining 7.9% of the phenotypic variance. Research is under way to confirm the identified QTLs for soybean seed hardness in multiple populations with different genetic backgrounds.</abstract><cop>Madison</cop><pub>Crop Science Society of America</pub><doi>10.2135/cropsci2007.10.0544</doi><tpages>9</tpages></addata></record> |
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| subjects | Agronomy. Soil science and plant productions Biological and medical sciences chromosome mapping Flowers & plants food processing quality Fundamental and applied biological sciences. Psychology Gene mapping Genetic engineering genetic markers Genetics and breeding of economic plants Genomics genotype Glycine max Hardness linkage (genetics) Methods microsatellite repeats molecular sequence data quantitative trait loci Seeds Shear tests Soybeans |
| title | Quantitative Trait Loci Mapping of Seed Hardness in Soybean |
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