Precision of genetic relationship estimates based on molecular markers
Genetic progress through selection is directly related to the amount of variability present in the population and the quality of genes contributed by the parents. Genetic relationships between lines were studied using DNA marker-based estimates of genetic similarity. A statistical methodology using...
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| Veröffentlicht in: | Euphytica 1997-01, Vol.98 (1/2), p.59-67 |
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| container_title | Euphytica |
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| creator | Barbosa-Neto, J.F Hernandez, C.M O'Donoughue, L.S Sorrells, M.E |
| description | Genetic progress through selection is directly related to the amount of variability present in the population and the quality of genes contributed by the parents. Genetic relationships between lines were studied using DNA marker-based estimates of genetic similarity. A statistical methodology using the width of a confidence interval was developed to determine the number of probes to be surveyed and the precision in the estimation of genetic distance between pairs of cultivars. Precision was affected by type of genetic distance used, the number of cultivars, and amount of genetic diversity present in the studied group. The width of a (1-α)% confidence interval decreased as the number of RFLP fragments increased. Oat and wheat diversity studies were used to illustrate the methodology.[PUBLICATION ABSTRACT] |
| doi_str_mv | 10.1023/a:1003070714008 |
| format | Article |
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Genetic relationships between lines were studied using DNA marker-based estimates of genetic similarity. A statistical methodology using the width of a confidence interval was developed to determine the number of probes to be surveyed and the precision in the estimation of genetic distance between pairs of cultivars. Precision was affected by type of genetic distance used, the number of cultivars, and amount of genetic diversity present in the studied group. The width of a (1-α)% confidence interval decreased as the number of RFLP fragments increased. Oat and wheat diversity studies were used to illustrate the methodology.[PUBLICATION ABSTRACT]</description><identifier>ISSN: 0014-2336</identifier><identifier>EISSN: 1573-5060</identifier><identifier>DOI: 10.1023/a:1003070714008</identifier><identifier>CODEN: EUPHAA</identifier><language>eng</language><publisher>Dordrecht: Springer</publisher><subject>Agronomy. 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Plant material ; genetic distance ; Genetic diversity ; genetic markers ; Genetic resources, diversity ; genetic variation ; Genetics and breeding of economic plants ; mathematical models ; methodology ; Plant material ; restriction fragment length polymorphism ; statistical analysis ; Statistical methods ; Triticum aestivum</subject><ispartof>Euphytica, 1997-01, Vol.98 (1/2), p.59-67</ispartof><rights>1998 INIST-CNRS</rights><rights>Kluwer Academic Publishers 1997</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2070877$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Barbosa-Neto, J.F</creatorcontrib><creatorcontrib>Hernandez, C.M</creatorcontrib><creatorcontrib>O'Donoughue, L.S</creatorcontrib><creatorcontrib>Sorrells, M.E</creatorcontrib><title>Precision of genetic relationship estimates based on molecular markers</title><title>Euphytica</title><description>Genetic progress through selection is directly related to the amount of variability present in the population and the quality of genes contributed by the parents. Genetic relationships between lines were studied using DNA marker-based estimates of genetic similarity. A statistical methodology using the width of a confidence interval was developed to determine the number of probes to be surveyed and the precision in the estimation of genetic distance between pairs of cultivars. Precision was affected by type of genetic distance used, the number of cultivars, and amount of genetic diversity present in the studied group. The width of a (1-α)% confidence interval decreased as the number of RFLP fragments increased. Oat and wheat diversity studies were used to illustrate the methodology.[PUBLICATION ABSTRACT]</description><subject>Agronomy. Soil science and plant productions</subject><subject>Avena sativa</subject><subject>Biological and medical sciences</subject><subject>Confidence intervals</subject><subject>Cultivars</subject><subject>estimation</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Generalities. Genetics. Plant material</subject><subject>genetic distance</subject><subject>Genetic diversity</subject><subject>genetic markers</subject><subject>Genetic resources, diversity</subject><subject>genetic variation</subject><subject>Genetics and breeding of economic plants</subject><subject>mathematical models</subject><subject>methodology</subject><subject>Plant material</subject><subject>restriction fragment length polymorphism</subject><subject>statistical analysis</subject><subject>Statistical methods</subject><subject>Triticum aestivum</subject><issn>0014-2336</issn><issn>1573-5060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpd0E1Lw0AQBuBFFKzVs0eDiLfo7PfGmxSrQkFBew6TzW5NzUfdTQ7-exfak6eB4WF45yXkksIdBcbv8YECcNCgqQAwR2RGpea5BAXHZAZARc44V6fkLMYtABRawows34OzTWyGPht8tnG9GxubBdfimHbxq9llLo5Nh6OLWYXR1Vmi3dA6O7UYsg7DtwvxnJx4bKO7OMw5WS-fPhcv-ert-XXxuMo95zDmQojKIxcFVLpw3tXMoZDSS889L5xVTBhpqQZe1LZCK-vCeko9NcLUyio-J7f7u7sw_EwpWdk10bq2xd4NUyypElwrbRK8_ge3wxT6lK3UgjKlOaMJ3RwQRoutD9inLspdSP-G35KlMo3WiV3tmcehxE1IZP3BgHJgRhuhC_4HDVxxDw</recordid><startdate>19970101</startdate><enddate>19970101</enddate><creator>Barbosa-Neto, J.F</creator><creator>Hernandez, C.M</creator><creator>O'Donoughue, L.S</creator><creator>Sorrells, M.E</creator><general>Springer</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>IQODW</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>19970101</creationdate><title>Precision of genetic relationship estimates based on molecular markers</title><author>Barbosa-Neto, J.F ; Hernandez, C.M ; O'Donoughue, L.S ; Sorrells, M.E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-f330t-444bfa3490b79efed2ea455f5f3f39ec62485c17039dcbac5d9cf11f1848d6c63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Avena sativa</topic><topic>Biological and medical sciences</topic><topic>Confidence intervals</topic><topic>Cultivars</topic><topic>estimation</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Generalities. Genetics. Plant material</topic><topic>genetic distance</topic><topic>Genetic diversity</topic><topic>genetic markers</topic><topic>Genetic resources, diversity</topic><topic>genetic variation</topic><topic>Genetics and breeding of economic plants</topic><topic>mathematical models</topic><topic>methodology</topic><topic>Plant material</topic><topic>restriction fragment length polymorphism</topic><topic>statistical analysis</topic><topic>Statistical methods</topic><topic>Triticum aestivum</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barbosa-Neto, J.F</creatorcontrib><creatorcontrib>Hernandez, C.M</creatorcontrib><creatorcontrib>O'Donoughue, L.S</creatorcontrib><creatorcontrib>Sorrells, M.E</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</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 Edition)</collection><collection>ProQuest Central UK/Ireland</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>Agricultural Science Database</collection><collection>Science Database</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>Barbosa-Neto, J.F</au><au>Hernandez, C.M</au><au>O'Donoughue, L.S</au><au>Sorrells, M.E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Precision of genetic relationship estimates based on molecular markers</atitle><jtitle>Euphytica</jtitle><date>1997-01-01</date><risdate>1997</risdate><volume>98</volume><issue>1/2</issue><spage>59</spage><epage>67</epage><pages>59-67</pages><issn>0014-2336</issn><eissn>1573-5060</eissn><coden>EUPHAA</coden><abstract>Genetic progress through selection is directly related to the amount of variability present in the population and the quality of genes contributed by the parents. 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| subjects | Agronomy. Soil science and plant productions Avena sativa Biological and medical sciences Confidence intervals Cultivars estimation Fundamental and applied biological sciences. Psychology Generalities. Genetics. Plant material genetic distance Genetic diversity genetic markers Genetic resources, diversity genetic variation Genetics and breeding of economic plants mathematical models methodology Plant material restriction fragment length polymorphism statistical analysis Statistical methods Triticum aestivum |
| title | Precision of genetic relationship estimates based on molecular markers |
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