Abstract

ABSTRACT The selection of kale genotypes more resistant to dehydration is important, since this product is marketed fresh and characterized as perishable. For the post-harvest study, the adjustment of regression models is useful. However, when there are many treatments, it is difficult to identify the superior one through the graphical representation of the curves. In this sense, the model identity test groups the curves establishing genotypes that have statistically similar behavior. Thus, we aimed to select kale accesses for post-harvest dehydration using the model identity test. The accumulated loss of fresh matter of 22 kale genotypaes was evaluated, being 19 of the germplasm bank of the UFVJM and three commercial cultivars (COM). The model identity test was used for the statistical grouping of the regression curves. The UFVJM-19 and UFVJM-32 accessions had lower rates of dehydration as a function of time. The test facilitated the interpretation of the results, with a reduction of 22 to six regression curves, helping to select the best genotypes. The UFVJM-19 and UFVJM-32 accessions are the most indicated because they present lower post-harvest dehydration, being the most recommended for commercialization.

Highlights

  • A seleção de genótipos de couve mais resistentes à desidratação é importante, pois além de ser comercializada in natura, é bastante perecível

  • Kale (Brassica oleracea var. acephala) is a much-consumed vegetable in the world, because it is commercialized in the fresh form, farmers and traders face problems due to its high perishability

  • In the literature, there are few studies evaluating the dehydration of kale due to the accumulated loss of fresh matter (Calbo & Ferreira, 2011; Azevedo et al, 2016)

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Summary

Introduction

A seleção de genótipos de couve mais resistentes à desidratação é importante, pois além de ser comercializada in natura, é bastante perecível. When using a large amount of genotypes, the presentation and interpretation can be difficult (Azevedo et al, 2016) This strategy does not allow the distinction of genotypes to be statistically the same or different considering these regression curves. Genotypes are compared in terms of their regression curve using the multivariate cluster (Puiatti et al, 2013) This strategy being useful, it does not take into account tests of hypotheses and level of significance. The authors verified that it is possible to form groups of genotypes with statistically similar behavior by the method of grouping similar models This statistical approach can be very useful in studies of post-harvest conservation of vegetables, because it allows the identification of statistically superior genotypes

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