Longitudinal data assessment of global stability index in kale leaves

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dc.creatorAlcinei Mistico Azevedo
dc.creatorValter Carvalho de Andrade Júnior
dc.creatorCarlos Enrrik Pedrosa
dc.creatorNermy Ribeiro Valadares
dc.creatorMarcos Aurélio Miranda Ferreira
dc.creatorPaulo Roberto Cecon
dc.date.accessioned2022-03-31T13:11:16Z
dc.date.accessioned2025-09-08T23:31:28Z
dc.date.available2022-03-31T13:11:16Z
dc.date.issued2016
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.identifier.doihttp://dx.doi.org/10.1590/0103-9016-2014-0334
dc.identifier.issn1678992X
dc.identifier.urihttps://hdl.handle.net/1843/40660
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofScientia Agricola
dc.rightsAcesso Aberto
dc.subjectCouve
dc.subjectPós-colheita
dc.subjectAnalise multivariada
dc.subjectAjuste de curva
dc.titleLongitudinal data assessment of global stability index in kale leaves
dc.typeArtigo de periódico
local.citation.epage84
local.citation.issue1
local.citation.spage79
local.citation.volume73
local.description.resumoKale 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.
local.identifier.orcidhttps://orcid.org/0000-0001-5196-0851
local.publisher.countryBrasil
local.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
local.publisher.initialsUFMG
local.url.externahttps://www.revistas.usp.br/sa/article/view/108537?msclkid=4d4779e9b0f211ec8ef5039af25cdbeb

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