Genetic variation in sorghum germplasm from Sudan, ICRISAT, and USA assessed by simple sequence repeats (SSRs)
Assessment of genetic variability in crops has a strong impact on plant breeding and conservation of genetic resources. It is particularly useful in the characterization of individuals, accessions, and cultivars in determining duplications in germplasm collections and for selecting parents. The obje...
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description | Assessment of genetic variability in crops has a strong impact on plant breeding and conservation of genetic resources. It is particularly useful in the characterization of individuals, accessions, and cultivars in determining duplications in germplasm collections and for selecting parents. The objective of this study was to estimate genetic diversity and to obtain information on the genetic relationship among 96 sorghum [Sorghum bicolor (L.) Moench] accessions from Sudan, ICRISAT, and Nebraska, USA, using 16 simple sequence repeats (SSRs). In total, 117 polymorphic bands were detected with a mean of 7.3 alleles per SSR locus. By this approach each accession is uniquely fingerprinted. Genetic similarity estimates ranged from 0 to 0.91, with a mean of 0.30. The polymorphic information content (PIC) for SSRs ranged from 0.46 (SB4-72) to 0.87 (SBAGF06). Diversity index (DI) for all accessions was 0.71. Within subgroups, DI was 0.63 for Sudanese landraces and improved cultivars, 0.49 for PI accessions, 0.42 for Nebraska derivatives, 0.39 for the ICRISAT advanced breeding lines (ABLs), 0.65 for the Feterita group, 0.71 for the Milo group, 0.63 for a Synthetic group (new breeding materials), 0.68 for the Hegiri group, and 0.47 for the Mugud group. Mantel statistics revealed a good fit of the unweighted pair-grouped method with arithmetic average (UPGMA) cluster to the original genetic similarity (GS) data (r = 0.867). UPGMA clustering produced two main clusters comprising mainly nonimproved germplasm (gene bank accessions and Nebraska population derivatives), and improved genotypes (cultivars, Gadarif collections, and ICRISAT advanced lines). Grouping of accessions by UPGMA cluster analysis matched with the geographical origin and/or pedigree information (Sudan, USA, ICRISAT), the adaptation zone (Gadarif area, Sudan), and morphological characters (Feterita, Mugud, and Milo types), indicating the strong differentiation among the sorghum materials. |
doi_str_mv | 10.2135/cropsci2003.0383 |
format | Article |
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It is particularly useful in the characterization of individuals, accessions, and cultivars in determining duplications in germplasm collections and for selecting parents. The objective of this study was to estimate genetic diversity and to obtain information on the genetic relationship among 96 sorghum [Sorghum bicolor (L.) Moench] accessions from Sudan, ICRISAT, and Nebraska, USA, using 16 simple sequence repeats (SSRs). In total, 117 polymorphic bands were detected with a mean of 7.3 alleles per SSR locus. By this approach each accession is uniquely fingerprinted. Genetic similarity estimates ranged from 0 to 0.91, with a mean of 0.30. The polymorphic information content (PIC) for SSRs ranged from 0.46 (SB4-72) to 0.87 (SBAGF06). Diversity index (DI) for all accessions was 0.71. Within subgroups, DI was 0.63 for Sudanese landraces and improved cultivars, 0.49 for PI accessions, 0.42 for Nebraska derivatives, 0.39 for the ICRISAT advanced breeding lines (ABLs), 0.65 for the Feterita group, 0.71 for the Milo group, 0.63 for a Synthetic group (new breeding materials), 0.68 for the Hegiri group, and 0.47 for the Mugud group. Mantel statistics revealed a good fit of the unweighted pair-grouped method with arithmetic average (UPGMA) cluster to the original genetic similarity (GS) data (r = 0.867). UPGMA clustering produced two main clusters comprising mainly nonimproved germplasm (gene bank accessions and Nebraska population derivatives), and improved genotypes (cultivars, Gadarif collections, and ICRISAT advanced lines). Grouping of accessions by UPGMA cluster analysis matched with the geographical origin and/or pedigree information (Sudan, USA, ICRISAT), the adaptation zone (Gadarif area, Sudan), and morphological characters (Feterita, Mugud, and Milo types), indicating the strong differentiation among the sorghum materials.</description><identifier>ISSN: 0011-183X</identifier><identifier>EISSN: 1435-0653</identifier><identifier>DOI: 10.2135/cropsci2003.0383</identifier><identifier>CODEN: CRPSAY</identifier><language>eng</language><publisher>Madison, WI: The Crop Science Society of America, Inc</publisher><subject>adaptation ; Agronomy. Soil science and plant productions ; Biological and medical sciences ; Biological variation ; Cereals ; Crop science ; Cultivars ; Fundamental and applied biological sciences. Psychology ; Gene banks ; Generalities. Genetics. Plant material ; Genetic aspects ; Genetic diversity ; genetic polymorphism ; Genetic resources ; Genetic resources, diversity ; genetic variation ; Genetics ; Genetics and breeding of economic plants ; Genotype & phenotype ; Genotypes ; geographical variation ; germplasm ; Germplasm resources ; Grain ; grain crops ; grain sorghum ; landraces ; microsatellite repeats ; Plant breeding ; plant genetic resources ; Plant material ; plant morphology ; Sorghum ; Sorghum bicolor</subject><ispartof>Crop science, 2005-07, Vol.45 (4), p.1636-1644</ispartof><rights>Crop Science Society of America</rights><rights>2006 INIST-CNRS</rights><rights>COPYRIGHT 2005 Crop Science Society of America</rights><rights>Copyright American Society of Agronomy Jul/Aug 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6293-cd3c6cc82fcd57af197e04fb7a65072f2652fbc7416ce8e5d5478974229da83e3</citedby><cites>FETCH-LOGICAL-c6293-cd3c6cc82fcd57af197e04fb7a65072f2652fbc7416ce8e5d5478974229da83e3</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%2Fcropsci2003.0383$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.2135%2Fcropsci2003.0383$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17088362$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Abu Assar, A.H</creatorcontrib><creatorcontrib>Uptmoor, R</creatorcontrib><creatorcontrib>Abdelmula, A.A</creatorcontrib><creatorcontrib>Salih, M</creatorcontrib><creatorcontrib>Ordon, F</creatorcontrib><creatorcontrib>Friedt, W</creatorcontrib><title>Genetic variation in sorghum germplasm from Sudan, ICRISAT, and USA assessed by simple sequence repeats (SSRs)</title><title>Crop science</title><description>Assessment of genetic variability in crops has a strong impact on plant breeding and conservation of genetic resources. It is particularly useful in the characterization of individuals, accessions, and cultivars in determining duplications in germplasm collections and for selecting parents. The objective of this study was to estimate genetic diversity and to obtain information on the genetic relationship among 96 sorghum [Sorghum bicolor (L.) Moench] accessions from Sudan, ICRISAT, and Nebraska, USA, using 16 simple sequence repeats (SSRs). In total, 117 polymorphic bands were detected with a mean of 7.3 alleles per SSR locus. By this approach each accession is uniquely fingerprinted. Genetic similarity estimates ranged from 0 to 0.91, with a mean of 0.30. The polymorphic information content (PIC) for SSRs ranged from 0.46 (SB4-72) to 0.87 (SBAGF06). Diversity index (DI) for all accessions was 0.71. Within subgroups, DI was 0.63 for Sudanese landraces and improved cultivars, 0.49 for PI accessions, 0.42 for Nebraska derivatives, 0.39 for the ICRISAT advanced breeding lines (ABLs), 0.65 for the Feterita group, 0.71 for the Milo group, 0.63 for a Synthetic group (new breeding materials), 0.68 for the Hegiri group, and 0.47 for the Mugud group. Mantel statistics revealed a good fit of the unweighted pair-grouped method with arithmetic average (UPGMA) cluster to the original genetic similarity (GS) data (r = 0.867). UPGMA clustering produced two main clusters comprising mainly nonimproved germplasm (gene bank accessions and Nebraska population derivatives), and improved genotypes (cultivars, Gadarif collections, and ICRISAT advanced lines). Grouping of accessions by UPGMA cluster analysis matched with the geographical origin and/or pedigree information (Sudan, USA, ICRISAT), the adaptation zone (Gadarif area, Sudan), and morphological characters (Feterita, Mugud, and Milo types), indicating the strong differentiation among the sorghum materials.</description><subject>adaptation</subject><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Biological variation</subject><subject>Cereals</subject><subject>Crop science</subject><subject>Cultivars</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene banks</subject><subject>Generalities. Genetics. Plant material</subject><subject>Genetic aspects</subject><subject>Genetic diversity</subject><subject>genetic polymorphism</subject><subject>Genetic resources</subject><subject>Genetic resources, diversity</subject><subject>genetic variation</subject><subject>Genetics</subject><subject>Genetics and breeding of economic plants</subject><subject>Genotype & phenotype</subject><subject>Genotypes</subject><subject>geographical variation</subject><subject>germplasm</subject><subject>Germplasm resources</subject><subject>Grain</subject><subject>grain crops</subject><subject>grain sorghum</subject><subject>landraces</subject><subject>microsatellite repeats</subject><subject>Plant breeding</subject><subject>plant genetic resources</subject><subject>Plant material</subject><subject>plant morphology</subject><subject>Sorghum</subject><subject>Sorghum bicolor</subject><issn>0011-183X</issn><issn>1435-0653</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkd2L1DAUxYsoOK6--2ZQBIXtmI-2SR9L0XVgYWW6A76FO2lSs7RpN-ko89-boQMqDEgCgcvv3HNzT5K8JnhNCcs_KT9OQVmKMVtjJtiTZEUylqe4yNnTZIUxISkR7Pvz5EUIDxhjXvJ8lbgb7fRsFfoJ3sJsR4esQ2H03Y_DgDrth6mHMCDjxwE1hxbcNdrU201T3V8jcC3aNRWCEHS8LdofUbBRoVHQjwftlEZeTxrmgD40zTZ8fJk8M9AH_er8XiW7L5_v66_p7d3Npq5uU1XQkqWqZapQSlCj2pyDISXXODN7DkWOOTW0yKnZK56RQmmh8zbPuCh5RmnZgmCaXSVvl76TH-MgYZYP48G7aCkpoUVWMJFF6N0CddBraZ0ZZw9qsEHJKq40ckTwSKUXqC6uzUM_Om1sLP_Dry_w8bR6sOqiAC-CGGEIXhs5eTuAP0qC5Slb-Ve28pRtlLw_fw-Cgt54cMqGPzqOhWAFjVy1cL-i5_G_fWXd1LTe3n1r6s2pePZ6s_QwMErofPTZNRQThgmmNCsy9hsPxb_p</recordid><startdate>200507</startdate><enddate>200507</enddate><creator>Abu Assar, A.H</creator><creator>Uptmoor, R</creator><creator>Abdelmula, A.A</creator><creator>Salih, M</creator><creator>Ordon, F</creator><creator>Friedt, W</creator><general>The Crop Science Society of America, Inc</general><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></search><sort><creationdate>200507</creationdate><title>Genetic variation in sorghum germplasm from Sudan, ICRISAT, and USA assessed by simple sequence repeats (SSRs)</title><author>Abu Assar, A.H ; Uptmoor, R ; Abdelmula, A.A ; Salih, M ; Ordon, F ; Friedt, W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6293-cd3c6cc82fcd57af197e04fb7a65072f2652fbc7416ce8e5d5478974229da83e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>adaptation</topic><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Biological variation</topic><topic>Cereals</topic><topic>Crop science</topic><topic>Cultivars</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene banks</topic><topic>Generalities. Genetics. Plant material</topic><topic>Genetic aspects</topic><topic>Genetic diversity</topic><topic>genetic polymorphism</topic><topic>Genetic resources</topic><topic>Genetic resources, diversity</topic><topic>genetic variation</topic><topic>Genetics</topic><topic>Genetics and breeding of economic plants</topic><topic>Genotype & phenotype</topic><topic>Genotypes</topic><topic>geographical variation</topic><topic>germplasm</topic><topic>Germplasm resources</topic><topic>Grain</topic><topic>grain crops</topic><topic>grain sorghum</topic><topic>landraces</topic><topic>microsatellite repeats</topic><topic>Plant breeding</topic><topic>plant genetic resources</topic><topic>Plant material</topic><topic>plant morphology</topic><topic>Sorghum</topic><topic>Sorghum bicolor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abu Assar, A.H</creatorcontrib><creatorcontrib>Uptmoor, R</creatorcontrib><creatorcontrib>Abdelmula, A.A</creatorcontrib><creatorcontrib>Salih, M</creatorcontrib><creatorcontrib>Ordon, F</creatorcontrib><creatorcontrib>Friedt, W</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</collection><collection>Natural Science Collection</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</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><jtitle>Crop science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abu Assar, A.H</au><au>Uptmoor, R</au><au>Abdelmula, A.A</au><au>Salih, M</au><au>Ordon, F</au><au>Friedt, W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic variation in sorghum germplasm from Sudan, ICRISAT, and USA assessed by simple sequence repeats (SSRs)</atitle><jtitle>Crop science</jtitle><date>2005-07</date><risdate>2005</risdate><volume>45</volume><issue>4</issue><spage>1636</spage><epage>1644</epage><pages>1636-1644</pages><issn>0011-183X</issn><eissn>1435-0653</eissn><coden>CRPSAY</coden><abstract>Assessment of genetic variability in crops has a strong impact on plant breeding and conservation of genetic resources. It is particularly useful in the characterization of individuals, accessions, and cultivars in determining duplications in germplasm collections and for selecting parents. The objective of this study was to estimate genetic diversity and to obtain information on the genetic relationship among 96 sorghum [Sorghum bicolor (L.) Moench] accessions from Sudan, ICRISAT, and Nebraska, USA, using 16 simple sequence repeats (SSRs). In total, 117 polymorphic bands were detected with a mean of 7.3 alleles per SSR locus. By this approach each accession is uniquely fingerprinted. Genetic similarity estimates ranged from 0 to 0.91, with a mean of 0.30. The polymorphic information content (PIC) for SSRs ranged from 0.46 (SB4-72) to 0.87 (SBAGF06). Diversity index (DI) for all accessions was 0.71. Within subgroups, DI was 0.63 for Sudanese landraces and improved cultivars, 0.49 for PI accessions, 0.42 for Nebraska derivatives, 0.39 for the ICRISAT advanced breeding lines (ABLs), 0.65 for the Feterita group, 0.71 for the Milo group, 0.63 for a Synthetic group (new breeding materials), 0.68 for the Hegiri group, and 0.47 for the Mugud group. Mantel statistics revealed a good fit of the unweighted pair-grouped method with arithmetic average (UPGMA) cluster to the original genetic similarity (GS) data (r = 0.867). UPGMA clustering produced two main clusters comprising mainly nonimproved germplasm (gene bank accessions and Nebraska population derivatives), and improved genotypes (cultivars, Gadarif collections, and ICRISAT advanced lines). Grouping of accessions by UPGMA cluster analysis matched with the geographical origin and/or pedigree information (Sudan, USA, ICRISAT), the adaptation zone (Gadarif area, Sudan), and morphological characters (Feterita, Mugud, and Milo types), indicating the strong differentiation among the sorghum materials.</abstract><cop>Madison, WI</cop><pub>The Crop Science Society of America, Inc</pub><doi>10.2135/cropsci2003.0383</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | adaptation Agronomy. Soil science and plant productions Biological and medical sciences Biological variation Cereals Crop science Cultivars Fundamental and applied biological sciences. Psychology Gene banks Generalities. Genetics. Plant material Genetic aspects Genetic diversity genetic polymorphism Genetic resources Genetic resources, diversity genetic variation Genetics Genetics and breeding of economic plants Genotype & phenotype Genotypes geographical variation germplasm Germplasm resources Grain grain crops grain sorghum landraces microsatellite repeats Plant breeding plant genetic resources Plant material plant morphology Sorghum Sorghum bicolor |
title | Genetic variation in sorghum germplasm from Sudan, ICRISAT, and USA assessed by simple sequence repeats (SSRs) |
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