Longitudinal data assessment of global stability index in kale leaves

Detalhes bibliográficos
Autor(a) principal: Azevedo,Alcinei Mistico
Data de Publicação: 2016
Outros Autores: Andrade Júnior,Valter Carvalho de, Pedrosa,Carlos Enrrik, Valadares,Nermy Ribeiro, Ferreira,Marcos Aurélio Miranda, Cecon,Paulo Roberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000100079
Resumo: ABSTRACT Kale plants are usually sold “in natura” in street markets and malls. Kale leaves can have their appearance compromised by dehydration and discoloration due to increased post-harvest time exposure. We aimed to analyze the Global Stability Index (GSI) in kale accessions by means of repeated measurement analysis and curve grouping as a complementary form of superior sample identification with regard to post-harvest preservation. Thirty kale accessions were evaluated using a randomized block design with four blocks and five plants per plot. Two commercial leaves per plant were collected, and kept on workbenches in the shade at a temperature of 18 ± 1 °C. Subsequently, the degrees of discoloration and dehydration, total chlorophyll content, and accumulated fresh mass loss were evaluated over a 15-day period. From these data, the GSI was calculated for each day of evaluation. In addition, using mixed models, thirteen co-variance structures were tested. For graphical analysis, thirteen linear and non-linear models were assessed followed by curve grouping using multivariate analysis. The GSI was efficient for differentiating accessions, which became an important tool in post-harvest studies. GSI values were not equally correlated, therefore the use of mixed models became an important approach. The unstructured matrix was the best fit to model the dependence of error. The Melow I model was the best fit for studying the GSI. The accessions UFVJM-10, UFLA-1, COM-1, UFVJM-32, COM-3, UFVJM-8, UFVJM-36 and UFVJM-24, belonging to 3 and 5 clusters, are recommended for crop cultivation and as parental material in breeding programs.
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spelling Longitudinal data assessment of global stability index in kale leavesBrassica oleracea var. acephala DCpost-harvest preservationrepeated measurementsmultivariate statisticscurve groupingABSTRACT Kale plants are usually sold “in natura” in street markets and malls. Kale leaves can have their appearance compromised by dehydration and discoloration due to increased post-harvest time exposure. We aimed to analyze the Global Stability Index (GSI) in kale accessions by means of repeated measurement analysis and curve grouping as a complementary form of superior sample identification with regard to post-harvest preservation. Thirty kale accessions were evaluated using a randomized block design with four blocks and five plants per plot. Two commercial leaves per plant were collected, and kept on workbenches in the shade at a temperature of 18 ± 1 °C. Subsequently, the degrees of discoloration and dehydration, total chlorophyll content, and accumulated fresh mass loss were evaluated over a 15-day period. From these data, the GSI was calculated for each day of evaluation. In addition, using mixed models, thirteen co-variance structures were tested. For graphical analysis, thirteen linear and non-linear models were assessed followed by curve grouping using multivariate analysis. The GSI was efficient for differentiating accessions, which became an important tool in post-harvest studies. GSI values were not equally correlated, therefore the use of mixed models became an important approach. The unstructured matrix was the best fit to model the dependence of error. The Melow I model was the best fit for studying the GSI. The accessions UFVJM-10, UFLA-1, COM-1, UFVJM-32, COM-3, UFVJM-8, UFVJM-36 and UFVJM-24, belonging to 3 and 5 clusters, are recommended for crop cultivation and as parental material in breeding programs.Escola Superior de Agricultura "Luiz de Queiroz"2016-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000100079Scientia Agricola v.73 n.1 2016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/0103-9016-2014-0334info:eu-repo/semantics/openAccessAzevedo,Alcinei MisticoAndrade Júnior,Valter Carvalho dePedrosa,Carlos EnrrikValadares,Nermy RibeiroFerreira,Marcos Aurélio MirandaCecon,Paulo Robertoeng2015-12-09T00:00:00Zoai:scielo:S0103-90162016000100079Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-12-09T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Longitudinal data assessment of global stability index in kale leaves
title Longitudinal data assessment of global stability index in kale leaves
spellingShingle Longitudinal data assessment of global stability index in kale leaves
Azevedo,Alcinei Mistico
Brassica oleracea var. acephala DC
post-harvest preservation
repeated measurements
multivariate statistics
curve grouping
title_short Longitudinal data assessment of global stability index in kale leaves
title_full Longitudinal data assessment of global stability index in kale leaves
title_fullStr Longitudinal data assessment of global stability index in kale leaves
title_full_unstemmed Longitudinal data assessment of global stability index in kale leaves
title_sort Longitudinal data assessment of global stability index in kale leaves
author Azevedo,Alcinei Mistico
author_facet Azevedo,Alcinei Mistico
Andrade Júnior,Valter Carvalho de
Pedrosa,Carlos Enrrik
Valadares,Nermy Ribeiro
Ferreira,Marcos Aurélio Miranda
Cecon,Paulo Roberto
author_role author
author2 Andrade Júnior,Valter Carvalho de
Pedrosa,Carlos Enrrik
Valadares,Nermy Ribeiro
Ferreira,Marcos Aurélio Miranda
Cecon,Paulo Roberto
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Azevedo,Alcinei Mistico
Andrade Júnior,Valter Carvalho de
Pedrosa,Carlos Enrrik
Valadares,Nermy Ribeiro
Ferreira,Marcos Aurélio Miranda
Cecon,Paulo Roberto
dc.subject.por.fl_str_mv Brassica oleracea var. acephala DC
post-harvest preservation
repeated measurements
multivariate statistics
curve grouping
topic Brassica oleracea var. acephala DC
post-harvest preservation
repeated measurements
multivariate statistics
curve grouping
description ABSTRACT Kale plants are usually sold “in natura” in street markets and malls. Kale leaves can have their appearance compromised by dehydration and discoloration due to increased post-harvest time exposure. We aimed to analyze the Global Stability Index (GSI) in kale accessions by means of repeated measurement analysis and curve grouping as a complementary form of superior sample identification with regard to post-harvest preservation. Thirty kale accessions were evaluated using a randomized block design with four blocks and five plants per plot. Two commercial leaves per plant were collected, and kept on workbenches in the shade at a temperature of 18 ± 1 °C. Subsequently, the degrees of discoloration and dehydration, total chlorophyll content, and accumulated fresh mass loss were evaluated over a 15-day period. From these data, the GSI was calculated for each day of evaluation. In addition, using mixed models, thirteen co-variance structures were tested. For graphical analysis, thirteen linear and non-linear models were assessed followed by curve grouping using multivariate analysis. The GSI was efficient for differentiating accessions, which became an important tool in post-harvest studies. GSI values were not equally correlated, therefore the use of mixed models became an important approach. The unstructured matrix was the best fit to model the dependence of error. The Melow I model was the best fit for studying the GSI. The accessions UFVJM-10, UFLA-1, COM-1, UFVJM-32, COM-3, UFVJM-8, UFVJM-36 and UFVJM-24, belonging to 3 and 5 clusters, are recommended for crop cultivation and as parental material in breeding programs.
publishDate 2016
dc.date.none.fl_str_mv 2016-02-01
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=S0103-90162016000100079
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000100079
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-9016-2014-0334
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 Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.73 n.1 2016
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
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