Longitudinal data assessment of global stability index in kale leaves
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFVJM |
Texto Completo: | http://acervo.ufvjm.edu.br/jspui/handle/1/2561 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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Azevedo, Alcinei MisticoAndrade J?nior, Valter Carvalho dePedrosa, Carlos EnrrikValadares, Nermy RibeiroFerreira, Marcos Aur?lio MirandaCecon, Paulo RobertoUniversidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)Universidade Federal de Lavras (UFLA)Universidade Federal de Vi?osa (UFV)2021-06-01T18:09:09Z2021-06-01T18:09:09Z2016-Jan-FebAZEVEDO, Alcinei Mistico; ANDRADE J?NIOR, Valter Carvalho de; PEDROSA, Carlos Enrrik; VALADARES, Nermy Ribeiro; FERREIRA, Marcos Aur?lio Miranda; CECON, Paulo Roberto. Longitudinal data assessment of global stability index in kale leaves. Scientia Agricola, v. 73, n. 1, p. 79-84, 2016. Dispon?vel em: http://acervo.ufvjm.edu.br/jspui/handle/1/2561. Acesso em: 31 maio 2021.1678-992Xhttp://acervo.ufvjm.edu.br/jspui/handle/1/2561https://doi.org/10.1590/0103-9016-2014-0334S0103-90162016000100079-sclMade available in DSpace on 2021-06-01T18:09:09Z (GMT). No. of bitstreams: 0 Previous issue date: 2016Kale 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.engEscola 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 ? um artigo de acesso aberto distribu?do nos termos da Creative Commons Attribution License, que permite o uso irrestrito, distribui??o e reprodu??o em qualquer meio, desde que o trabalho original seja devidamente citado. CC BYinfo:eu-repo/semantics/openAccessTEXTS0103-90162016000100079-scl.pdf.txtS0103-90162016000100079-scl.pdf.txtExtracted texttext/plain29970http://acervo.ufvjm.edu.br/jspui/bitstream/1/2561/2/S0103-90162016000100079-scl.pdf.txtd7b559790e50c3eed6c2c55b6412f2a1MD52ORIGINALS0103-90162016000100079-scl.pdfS0103-90162016000100079-scl.pdfapplication/pdf287327http://acervo.ufvjm.edu.br/jspui/bitstream/1/2561/1/S0103-90162016000100079-scl.pdf1ad7067e8d057ad88c584f13857378aaMD511/25612021-06-03 03:00:31.164oai:acervo.ufvjm.edu.br/jspui:1/2561Repositório InstitucionalPUBhttp://acervo.ufvjm.edu.br/oai/requestrepositorio@ufvjm.edu.bropendoar:21452021-06-03T06:00:31Repositório 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 J?nior, Valter Carvalho de Pedrosa, Carlos Enrrik Valadares, Nermy Ribeiro Ferreira, Marcos Aur?lio Miranda Cecon, Paulo Roberto |
author_role |
author |
author2 |
Andrade J?nior, Valter Carvalho de Pedrosa, Carlos Enrrik Valadares, Nermy Ribeiro Ferreira, Marcos Aur?lio 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 Vi?osa (UFV) |
dc.contributor.author.fl_str_mv |
Azevedo, Alcinei Mistico Andrade J?nior, Valter Carvalho de Pedrosa, Carlos Enrrik Valadares, Nermy Ribeiro Ferreira, Marcos Aur?lio 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 |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
AZEVEDO, Alcinei Mistico; ANDRADE J?NIOR, Valter Carvalho de; PEDROSA, Carlos Enrrik; VALADARES, Nermy Ribeiro; FERREIRA, Marcos Aur?lio Miranda; CECON, Paulo Roberto. Longitudinal data assessment of global stability index in kale leaves. Scientia Agricola, v. 73, n. 1, p. 79-84, 2016. Dispon?vel em: http://acervo.ufvjm.edu.br/jspui/handle/1/2561. Acesso em: 31 maio 2021. |
dc.identifier.uri.fl_str_mv |
http://acervo.ufvjm.edu.br/jspui/handle/1/2561 |
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 J?NIOR, Valter Carvalho de; PEDROSA, Carlos Enrrik; VALADARES, Nermy Ribeiro; FERREIRA, Marcos Aur?lio Miranda; CECON, Paulo Roberto. Longitudinal data assessment of global stability index in kale leaves. Scientia Agricola, v. 73, n. 1, p. 79-84, 2016. Dispon?vel em: http://acervo.ufvjm.edu.br/jspui/handle/1/2561. Acesso em: 31 maio 2021. 1678-992X S0103-90162016000100079-scl |
url |
http://acervo.ufvjm.edu.br/jspui/handle/1/2561 https://doi.org/10.1590/0103-9016-2014-0334 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
Scientia Agricola |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
SciELO reponame:Repositório Institucional da UFVJM instname:Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM) instacron:UFVJM |
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Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM) |
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UFVJM |
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UFVJM |
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Repositório Institucional da UFVJM |
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