Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | https://www.revistas.usp.br/sa/article/view/22732 |
Resumo: | Epistasis (additive × additive interaction) plays an important role in the genetic architecture of complex traits. This study presents analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects. In the first method, we observed only the plant phenotype, while in the second method we have additional information from the molecular markers observations. In this study, two data sets were analyzed: i) 150 barley (Hordeum vulgare L.) doubled-haploid lines derived from the cross Steptoe × Morex and ii) 145 doubled-haploid lines of barley obtained from the cross Harrington × TR306. In total, 153 sets of observations were analyzed. The additive × additive interaction effect calculated on the basis of the marker observations is smaller than the total additive × additive interaction effect obtained from phenotypic observations only. |
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Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects nonallelic interaction effectdoubled haploid linesquantitative trait loci Epistasis (additive × additive interaction) plays an important role in the genetic architecture of complex traits. This study presents analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects. In the first method, we observed only the plant phenotype, while in the second method we have additional information from the molecular markers observations. In this study, two data sets were analyzed: i) 150 barley (Hordeum vulgare L.) doubled-haploid lines derived from the cross Steptoe × Morex and ii) 145 doubled-haploid lines of barley obtained from the cross Harrington × TR306. In total, 153 sets of observations were analyzed. The additive × additive interaction effect calculated on the basis of the marker observations is smaller than the total additive × additive interaction effect obtained from phenotypic observations only. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/2273210.1590/S0103-90162012000400002Scientia Agricola; v. 69 n. 4 (2012); 240-246Scientia Agricola; Vol. 69 Núm. 4 (2012); 240-246Scientia Agricola; Vol. 69 No. 4 (2012); 240-2461678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/22732/24756Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessBocianowski, Jan2015-07-07T19:15:17Zoai:revistas.usp.br:article/22732Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-07-07T19:15:17Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects |
title |
Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects |
spellingShingle |
Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects Bocianowski, Jan nonallelic interaction effect doubled haploid lines quantitative trait loci |
title_short |
Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects |
title_full |
Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects |
title_fullStr |
Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects |
title_full_unstemmed |
Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects |
title_sort |
Analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects |
author |
Bocianowski, Jan |
author_facet |
Bocianowski, Jan |
author_role |
author |
dc.contributor.author.fl_str_mv |
Bocianowski, Jan |
dc.subject.por.fl_str_mv |
nonallelic interaction effect doubled haploid lines quantitative trait loci |
topic |
nonallelic interaction effect doubled haploid lines quantitative trait loci |
description |
Epistasis (additive × additive interaction) plays an important role in the genetic architecture of complex traits. This study presents analytical and numerical comparisons of two methods of estimation of additive × additive interaction of QTL effects. In the first method, we observed only the plant phenotype, while in the second method we have additional information from the molecular markers observations. In this study, two data sets were analyzed: i) 150 barley (Hordeum vulgare L.) doubled-haploid lines derived from the cross Steptoe × Morex and ii) 145 doubled-haploid lines of barley obtained from the cross Harrington × TR306. In total, 153 sets of observations were analyzed. The additive × additive interaction effect calculated on the basis of the marker observations is smaller than the total additive × additive interaction effect obtained from phenotypic observations only. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/22732 10.1590/S0103-90162012000400002 |
url |
https://www.revistas.usp.br/sa/article/view/22732 |
identifier_str_mv |
10.1590/S0103-90162012000400002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/22732/24756 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2015 Scientia Agricola info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2015 Scientia Agricola |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
dc.source.none.fl_str_mv |
Scientia Agricola; v. 69 n. 4 (2012); 240-246 Scientia Agricola; Vol. 69 Núm. 4 (2012); 240-246 Scientia Agricola; Vol. 69 No. 4 (2012); 240-246 1678-992X 0103-9016 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1800222791538049024 |