Longitudinal data assessment of global stability index in kale leaves

Detalhes bibliográficos
Autor(a) principal: Azevedo, Alcinei Mistico
Data de Publicação: 2021
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 UFVJM
Texto Completo: https://acervo.ufvjm.edu.br/items/764c0928-130d-4409-a51d-2ae49d897cc9
https://doi.org/10.1590/0103-9016-2014-0334
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 Azevedo, Alcinei MisticoAndrade Júnior, Valter Carvalho dePedrosa, Carlos EnrrikValadares, Nermy RibeiroFerreira, Marcos Aurélio MirandaCecon, Paulo RobertoUniversidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)Universidade Federal de Lavras (UFLA)Universidade Federal de Viçosa (UFV)2021-06-01T18:09:09Z2021-06-01T18:09:09Z2016-Jan-FebAZEVEDO, Alcinei Mistico; ANDRADE JÚNIOR, Valter Carvalho de; PEDROSA, Carlos Enrrik; VALADARES, Nermy Ribeiro; FERREIRA, Marcos Aurélio Miranda; CECON, Paulo Roberto. Longitudinal data assessment of global stability index in kale leaves. Scientia Agricola, v. 73, n. 1, p. 79-84, 2016. Disponível em: http://acervo.ufvjm.edu.br/jspui/handle/1/2561. Acesso em: 31 maio 2021.1678-992Xhttps://acervo.ufvjm.edu.br/items/764c0928-130d-4409-a51d-2ae49d897cc9https://doi.org/10.1590/0103-9016-2014-0334S0103-90162016000100079-sclengEscola Superior de Agricultura "Luiz de Queiroz"Scientia AgricolaSciELOreponame:Repositório Institucional da UFVJMinstname:Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)instacron:UFVJMLongitudinal data assessment of global stability index in kale leavesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBrassica oleracea var. acephala DCPost-harvest preservationRepeated measurementsMultivariate statisticsCurve groupingEste é um artigo de acesso aberto distribuído nos termos da Creative Commons Attribution License, que permite o uso irrestrito, distribuição e reprodução em qualquer meio, desde que o trabalho original seja devidamente citado. CC BYinfo:eu-repo/semantics/openAccessKale 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.THUMBNAILS0103-90162016000100079-scl.pdf.jpgS0103-90162016000100079-scl.pdf.jpgGenerated Thumbnailimage/jpeg5571https://acervo.ufvjm.edu.br//bitstreams/7030ec5d-1dd2-4f0e-93a0-1f9c5c753777/downloadd0438284ed96c2dd9d7e0658031476d7MD53falseAnonymousREADORIGINALS0103-90162016000100079-scl.pdfS0103-90162016000100079-scl.pdfapplication/pdf287327https://acervo.ufvjm.edu.br//bitstreams/acd7c2dd-5ba7-4573-acba-8576ae174c34/download1ad7067e8d057ad88c584f13857378aaMD51trueAnonymousREADTEXTS0103-90162016000100079-scl.pdf.txtS0103-90162016000100079-scl.pdf.txtExtracted texttext/plain29970https://acervo.ufvjm.edu.br//bitstreams/9cc1c549-9cee-4a55-8678-6e560a2fde6f/downloadd7b559790e50c3eed6c2c55b6412f2a1MD52falseAnonymousREAD1/25612024-09-12 06:18:12.292open.accessoai:acervo.ufvjm.edu.br:1/2561https://acervo.ufvjm.edu.br/Repositório InstitucionalPUBhttps://repositorio.ufvjm.edu.brrepositorio@ufvjm.edu.bropendoar:21452024-09-12T06:18:12Repositório Institucional da UFVJM - Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)false
dc.title.eng.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.institution.none.fl_str_mv Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)
Universidade Federal de Lavras (UFLA)
Universidade Federal de Viçosa (UFV)
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.keyword.eng.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 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 2021
dc.date.issued.fl_str_mv 2016-Jan-Feb
dc.date.accessioned.fl_str_mv 2021-06-01T18:09:09Z
dc.date.available.fl_str_mv 2021-06-01T18:09:09Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.citation.fl_str_mv AZEVEDO, Alcinei Mistico; ANDRADE JÚNIOR, Valter Carvalho de; PEDROSA, Carlos Enrrik; VALADARES, Nermy Ribeiro; FERREIRA, Marcos Aurélio Miranda; CECON, Paulo Roberto. Longitudinal data assessment of global stability index in kale leaves. Scientia Agricola, v. 73, n. 1, p. 79-84, 2016. Disponível em: http://acervo.ufvjm.edu.br/jspui/handle/1/2561. Acesso em: 31 maio 2021.
dc.identifier.uri.fl_str_mv https://acervo.ufvjm.edu.br/items/764c0928-130d-4409-a51d-2ae49d897cc9
dc.identifier.issn.none.fl_str_mv 1678-992X
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1590/0103-9016-2014-0334
dc.identifier.scielo.none.fl_str_mv S0103-90162016000100079-scl
identifier_str_mv AZEVEDO, Alcinei Mistico; ANDRADE JÚNIOR, Valter Carvalho de; PEDROSA, Carlos Enrrik; VALADARES, Nermy Ribeiro; FERREIRA, Marcos Aurélio Miranda; CECON, Paulo Roberto. Longitudinal data assessment of global stability index in kale leaves. Scientia Agricola, v. 73, n. 1, p. 79-84, 2016. Disponível em: http://acervo.ufvjm.edu.br/jspui/handle/1/2561. Acesso em: 31 maio 2021.
1678-992X
S0103-90162016000100079-scl
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https://doi.org/10.1590/0103-9016-2014-0334
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