Association mapping for yield and grain quality traits in rice (Oryza sativa L.)
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000300023 |
Resumo: | Association analysis was applied to a panel of accessions of Embrapa Rice Core Collection (ERiCC) with 86 SSR and field data from two experiments. A clear subdivision between lowland and upland accessions was apparent, thereby indicating the presence of population structure. Thirty-two accessions with admixed ancestry were identified through structure analysis, these being discarded from association analysis, thus leaving 210 accessions subdivided into two panels. The association of yield and grain-quality traits with SSR was undertaken with a mixed linear model, with markers and subpopulation as fixed factors, and kinship matrix as a random factor. Eight markers from the two appraised panels showed significant association with four different traits, although only one (RM190) maintained the marker-trait association across years and cultivation. The significant association detected between amylose content and RM190 was in agreement with previous QTL analyses in the literature. Herein, the feasibility of undertaking association analysis in conjunction with germplasm characterization was demonstrated, even when considering low marker density. The high linkage disequilibrium expected in rice lines and cultivars facilitates the detection of marker-trait associations for implementing marker assisted selection, and the mining of alleles related to important traits in germplasm. |
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Genetics and Molecular Biology |
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Association mapping for yield and grain quality traits in rice (Oryza sativa L.)association analysiscore collectiongenetic structureAssociation analysis was applied to a panel of accessions of Embrapa Rice Core Collection (ERiCC) with 86 SSR and field data from two experiments. A clear subdivision between lowland and upland accessions was apparent, thereby indicating the presence of population structure. Thirty-two accessions with admixed ancestry were identified through structure analysis, these being discarded from association analysis, thus leaving 210 accessions subdivided into two panels. The association of yield and grain-quality traits with SSR was undertaken with a mixed linear model, with markers and subpopulation as fixed factors, and kinship matrix as a random factor. Eight markers from the two appraised panels showed significant association with four different traits, although only one (RM190) maintained the marker-trait association across years and cultivation. The significant association detected between amylose content and RM190 was in agreement with previous QTL analyses in the literature. Herein, the feasibility of undertaking association analysis in conjunction with germplasm characterization was demonstrated, even when considering low marker density. The high linkage disequilibrium expected in rice lines and cultivars facilitates the detection of marker-trait associations for implementing marker assisted selection, and the mining of alleles related to important traits in germplasm.Sociedade Brasileira de Genética2010-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000300023Genetics and Molecular Biology v.33 n.3 2010reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572010005000065info:eu-repo/semantics/openAccessBorba,Tereza Cristina de OliveiraBrondani,Rosana Pereira VianelloBreseghello,FlávioCoelho,Alexandre Siqueira GuedesMendonça,João AntônioRangel,Paulo Hideo NakanoBrondani,Claudioeng2010-08-18T00:00:00Zoai:scielo:S1415-47572010000300023Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2010-08-18T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false |
dc.title.none.fl_str_mv |
Association mapping for yield and grain quality traits in rice (Oryza sativa L.) |
title |
Association mapping for yield and grain quality traits in rice (Oryza sativa L.) |
spellingShingle |
Association mapping for yield and grain quality traits in rice (Oryza sativa L.) Borba,Tereza Cristina de Oliveira association analysis core collection genetic structure |
title_short |
Association mapping for yield and grain quality traits in rice (Oryza sativa L.) |
title_full |
Association mapping for yield and grain quality traits in rice (Oryza sativa L.) |
title_fullStr |
Association mapping for yield and grain quality traits in rice (Oryza sativa L.) |
title_full_unstemmed |
Association mapping for yield and grain quality traits in rice (Oryza sativa L.) |
title_sort |
Association mapping for yield and grain quality traits in rice (Oryza sativa L.) |
author |
Borba,Tereza Cristina de Oliveira |
author_facet |
Borba,Tereza Cristina de Oliveira Brondani,Rosana Pereira Vianello Breseghello,Flávio Coelho,Alexandre Siqueira Guedes Mendonça,João Antônio Rangel,Paulo Hideo Nakano Brondani,Claudio |
author_role |
author |
author2 |
Brondani,Rosana Pereira Vianello Breseghello,Flávio Coelho,Alexandre Siqueira Guedes Mendonça,João Antônio Rangel,Paulo Hideo Nakano Brondani,Claudio |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Borba,Tereza Cristina de Oliveira Brondani,Rosana Pereira Vianello Breseghello,Flávio Coelho,Alexandre Siqueira Guedes Mendonça,João Antônio Rangel,Paulo Hideo Nakano Brondani,Claudio |
dc.subject.por.fl_str_mv |
association analysis core collection genetic structure |
topic |
association analysis core collection genetic structure |
description |
Association analysis was applied to a panel of accessions of Embrapa Rice Core Collection (ERiCC) with 86 SSR and field data from two experiments. A clear subdivision between lowland and upland accessions was apparent, thereby indicating the presence of population structure. Thirty-two accessions with admixed ancestry were identified through structure analysis, these being discarded from association analysis, thus leaving 210 accessions subdivided into two panels. The association of yield and grain-quality traits with SSR was undertaken with a mixed linear model, with markers and subpopulation as fixed factors, and kinship matrix as a random factor. Eight markers from the two appraised panels showed significant association with four different traits, although only one (RM190) maintained the marker-trait association across years and cultivation. The significant association detected between amylose content and RM190 was in agreement with previous QTL analyses in the literature. Herein, the feasibility of undertaking association analysis in conjunction with germplasm characterization was demonstrated, even when considering low marker density. The high linkage disequilibrium expected in rice lines and cultivars facilitates the detection of marker-trait associations for implementing marker assisted selection, and the mining of alleles related to important traits in germplasm. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000300023 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000300023 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-47572010005000065 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology v.33 n.3 2010 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122383291908096 |