Sequential path analysis: what does "sequential" mean?

Detalhes bibliográficos
Autor(a) principal: Kozak, Marcin
Data de Publicação: 2014
Outros Autores: Azevedo, Ricardo Antunes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/100156
Resumo: Studying relationships among plant and crop traits is crucial for crop scientists to understand complex biological systems that occur in plants and the field. Such knowledge constitutes the basis for more practical information on how to manage breeding and production to provide better or more suitable cultivars, higher yields, lower yield gaps, and resistance to pests etc. To acquire such knowledge, however, representative models of associations between plant and crop traits must be constructed. In path analysis - one of the major methods for analyzing multivariate relationships between quantitative traits - it is important to decide on an appropriate model for these associations, a model that is representative of the corresponding biological phenomena that are of interest to crop researchers. Adopting this "point of view", we asked various questions relating to such model building: (i) how should sequentiality in sequential path analysis be understood? (ii) how should it be interpreted? (iii) how should such sequential models be formulated? We discussed these issues in the context of crop science. Differences in simple and complex (sequential) models of path analysis are presented. Based on crop science examples, we show how important it is to correctly represent the biological relationships for a path analysis model.
id USP-18_668c85d6c489ba30e0f9536236f633f6
oai_identifier_str oai:revistas.usp.br:article/100156
network_acronym_str USP-18
network_name_str Scientia Agrícola (Online)
repository_id_str
spelling Sequential path analysis: what does "sequential" mean? Studying relationships among plant and crop traits is crucial for crop scientists to understand complex biological systems that occur in plants and the field. Such knowledge constitutes the basis for more practical information on how to manage breeding and production to provide better or more suitable cultivars, higher yields, lower yield gaps, and resistance to pests etc. To acquire such knowledge, however, representative models of associations between plant and crop traits must be constructed. In path analysis - one of the major methods for analyzing multivariate relationships between quantitative traits - it is important to decide on an appropriate model for these associations, a model that is representative of the corresponding biological phenomena that are of interest to crop researchers. Adopting this "point of view", we asked various questions relating to such model building: (i) how should sequentiality in sequential path analysis be understood? (ii) how should it be interpreted? (iii) how should such sequential models be formulated? We discussed these issues in the context of crop science. Differences in simple and complex (sequential) models of path analysis are presented. Based on crop science examples, we show how important it is to correctly represent the biological relationships for a path analysis model. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2014-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/10015610.1590/0103-9016-2014-0186Scientia Agricola; v. 71 n. 6 (2014); 525-527Scientia Agricola; Vol. 71 Núm. 6 (2014); 525-527Scientia Agricola; Vol. 71 No. 6 (2014); 525-5271678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/100156/98825Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessKozak, MarcinAzevedo, Ricardo Antunes2015-08-31T11:46:12Zoai:revistas.usp.br:article/100156Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-08-31T11:46:12Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Sequential path analysis: what does "sequential" mean?
title Sequential path analysis: what does "sequential" mean?
spellingShingle Sequential path analysis: what does "sequential" mean?
Kozak, Marcin
title_short Sequential path analysis: what does "sequential" mean?
title_full Sequential path analysis: what does "sequential" mean?
title_fullStr Sequential path analysis: what does "sequential" mean?
title_full_unstemmed Sequential path analysis: what does "sequential" mean?
title_sort Sequential path analysis: what does "sequential" mean?
author Kozak, Marcin
author_facet Kozak, Marcin
Azevedo, Ricardo Antunes
author_role author
author2 Azevedo, Ricardo Antunes
author2_role author
dc.contributor.author.fl_str_mv Kozak, Marcin
Azevedo, Ricardo Antunes
description Studying relationships among plant and crop traits is crucial for crop scientists to understand complex biological systems that occur in plants and the field. Such knowledge constitutes the basis for more practical information on how to manage breeding and production to provide better or more suitable cultivars, higher yields, lower yield gaps, and resistance to pests etc. To acquire such knowledge, however, representative models of associations between plant and crop traits must be constructed. In path analysis - one of the major methods for analyzing multivariate relationships between quantitative traits - it is important to decide on an appropriate model for these associations, a model that is representative of the corresponding biological phenomena that are of interest to crop researchers. Adopting this "point of view", we asked various questions relating to such model building: (i) how should sequentiality in sequential path analysis be understood? (ii) how should it be interpreted? (iii) how should such sequential models be formulated? We discussed these issues in the context of crop science. Differences in simple and complex (sequential) models of path analysis are presented. Based on crop science examples, we show how important it is to correctly represent the biological relationships for a path analysis model.
publishDate 2014
dc.date.none.fl_str_mv 2014-12-01
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/100156
10.1590/0103-9016-2014-0186
url https://www.revistas.usp.br/sa/article/view/100156
identifier_str_mv 10.1590/0103-9016-2014-0186
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/100156/98825
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. 71 n. 6 (2014); 525-527
Scientia Agricola; Vol. 71 Núm. 6 (2014); 525-527
Scientia Agricola; Vol. 71 No. 6 (2014); 525-527
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_ 1800222792404172800