Longitudinal data assessment of global stability index in kale leaves

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dc.contributor.authorAzevedo, Alcinei Mistico
dc.contributor.authorAndrade Júnior, Valter Carvalho de
dc.contributor.authorPedrosa, Carlos Enrrik
dc.contributor.authorValadares, Nermy Ribeiro
dc.contributor.authorFerreira, Marcos Aurélio Miranda
dc.contributor.authorCecon, Paulo Roberto
dc.contributor.institutionUniversidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.contributor.institutionUniversidade Federal de Viçosa (UFV)
dc.date.accessioned2021-06-01T18:09:09Z
dc.date.available2021-06-01T18:09:09Z
dc.date.issued2016-Jan-Feb
dc.description.abstractsKale 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.eng
dc.identifier.citationAZEVEDO, 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.pt_BR
dc.identifier.doihttps://doi.org/10.1590/0103-9016-2014-0334
dc.identifier.issn1678-992X
dc.identifier.scieloS0103-90162016000100079-scl
dc.identifier.urihttps://acervo.ufvjm.edu.br/items/764c0928-130d-4409-a51d-2ae49d897cc9
dc.language.isoeng
dc.publisherEscola Superior de Agricultura "Luiz de Queiroz"
dc.relation.ispartofScientia Agricola
dc.rights.accessRightsAcesso aberto
dc.rights.creativecEste 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 BYpt_BR
dc.sourceSciELO
dc.subject.keywordBrassica oleracea var. acephala DCeng
dc.subject.keywordPost-harvest preservationeng
dc.subject.keywordRepeated measurementseng
dc.subject.keywordMultivariate statisticseng
dc.subject.keywordCurve groupingeng
dc.titleLongitudinal data assessment of global stability index in kale leaveseng
dc.typeArtigopt_BR

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