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: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/36385
Resumo: 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 measure-mentsMultivariate statisticsCurve groupingKale 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.Universidade de São Paulo (USP), Escola Superior de Agricultura "Luiz de Queiroz (ESALQ)2019-08-21T20:47:53Z2019-08-21T20:47:53Z2016-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAZEVEDO, A. M. et al. Longitudinal data assessment of global stability index in kale leaves. Scientia Agricola, Piracicaba, v. 73, n. 1, p. 79-84, Jan./Feb. 2016. DOI: 10.1590/0103-9016-2014-0334.http://repositorio.ufla.br/jspui/handle/1/36385Scientia Agricolareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessAzevedo, Alcinei MisticoAndrade Júnior, Valter Carvalho dePedrosa, Carlos EnrrikValadares, Nermy RibeiroFerreira, Marcos Aurélio MirandaCecon, Paulo Robertoeng2019-08-21T20:47:54Zoai:localhost:1/36385Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2019-08-21T20:47:54Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)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 measure-ments
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 measure-ments
Multivariate statistics
Curve grouping
topic Brassica oleracea var. acephala DC
Post-harvest preservation
Repeated measure-ments
Multivariate statistics
Curve grouping
description 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
2019-08-21T20:47:53Z
2019-08-21T20:47:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv AZEVEDO, A. M. et al. Longitudinal data assessment of global stability index in kale leaves. Scientia Agricola, Piracicaba, v. 73, n. 1, p. 79-84, Jan./Feb. 2016. DOI: 10.1590/0103-9016-2014-0334.
http://repositorio.ufla.br/jspui/handle/1/36385
identifier_str_mv AZEVEDO, A. M. et al. Longitudinal data assessment of global stability index in kale leaves. Scientia Agricola, Piracicaba, v. 73, n. 1, p. 79-84, Jan./Feb. 2016. DOI: 10.1590/0103-9016-2014-0334.
url http://repositorio.ufla.br/jspui/handle/1/36385
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo (USP), Escola Superior de Agricultura "Luiz de Queiroz (ESALQ)
publisher.none.fl_str_mv Universidade de São Paulo (USP), Escola Superior de Agricultura "Luiz de Queiroz (ESALQ)
dc.source.none.fl_str_mv Scientia Agricola
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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