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dc.creatorGonçalves, Mariana Gabriele Marcolino-
dc.date.accessioned2020-10-28T18:21:36Z-
dc.date.available2020-10-28T18:21:36Z-
dc.date.issued2020-10-28-
dc.date.submitted2020-08-28-
dc.identifier.citationGONÇALVES, M. G. M. Soil survey as support to precision coffee crop and Winter wines development in Southeast Brazil. 2020. 118 p. Tese (Doutorado em Ciência do Solo)-Universidade Federal de Lavras, Lavras, 2020.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/56426583-
dc.description.abstractSoil surveys provide subsidies for several applications, including decision making on the management of several crops. Thus, this work had as objectives: i) to define a method by means of grouping analysis for the management zones outline based on data from soils and coffee plantations, collected in areas with defined land parcels and adapt this method in a management of culture already implanted, ii) to characterize the soils, the climate, as well as to verify their relation with the composition of the Winter Wines produced in seven commercial vineyards of the Syrah cultivar, iii) search for areas similar to the soil mapping units that include vineyards of the Southern region of Minas Gerais and verify the relationship between the wines and grapes produced in two reference vineyards. In the first part of this study, a series of tests were carried out involving selection of variables by Random Forest, reduction of dimensionality by principal component analysis (PCA) and factor analysis for mixed data (FAMD), ending with the generation of clusters by hierarchical cluster analysis on principal components (HCPC). The most important variables to explain coffee yield and thus compose the management zones outline, classified by Random Forest, were crop age, crop density, silt fraction and soil organic matter content. The PCA explained total variance of 76.1% in the first two dimensions. Three clusters with a statistically significant difference in coffee production were outlined by the HCPC. In general, the following sequence of cluster generated (123) was found, increasing the crop age, and the content of the silt fraction, and decreasing in the yield and crop density. In the second part of this study, climatic and soil characterization was carried out in seven commercial vineyards, including soil classification, chemical, physical and mineralogical analyses, as well as the identification of the parent material of the vineyard soils. The qualitative profile of wines from the Syrah vine was also characterized. Four groups of vineyards were formed from their similarities in terms of edaphoclimatic characteristics: a) soils with high levels of sand on the surface, in places with high rainfall, originated wines with lower pH; b) Soils with homogeneous clay contents along the profile, in vineyards with high thermal amplitude, presented intermediate values for most wine compounds; c) shallow and young soils with high sand content, in a vineyard with low precipitation and high temperature, produced wine with the highest flavanol content. This wine also has high levels of most other evaluated compounds; d) deep soils, with basalt as the parent material, is related to wines with the highest levels of most compounds, however, this is due to the late harvest carried out in this vineyard. The edaphoclimatic conditions were important for the characterization of the typicity of the wines, and such conditions associated with the handling of double pruning allowed the production of quality wines, compared to wines from world traditional wine-growing regions. The third part of this work involves the extraction of climatic, geological and terrain information from soil mapping units that contain commercial vineyards in two municipalities in Minas Gerais. Such information was applied, using fuzzy logic and similarity vectors in an area of interest (provenance area), in order to verify areas with greater similarity in relation to the conditions extracted from the mapping units (soil map). Most of the variables of the two mapping units, mainly the mean temperature, rainfall and evapotranspiration are very similar. The mapping units differ mainly in terms of the higher altitude in Três Corações and by the different parent material of the soil. Keywords: yield,pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)pt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Lavraspt_BR
dc.rightsacesso abertopt_BR
dc.subjectSoil surveypt_BR
dc.subjectCoffee croppt_BR
dc.subjectWine qualitypt_BR
dc.subjectHierarchical cluster on principal componentspt_BR
dc.subjectFuzzy logicpt_BR
dc.subjectLevantamento de solopt_BR
dc.subjectColheita de cafépt_BR
dc.subjectQualidade do vinhopt_BR
dc.subjectLógica Fuzzypt_BR
dc.titleSoil survey as support to precision coffee crop and Winter wines development in Southeast Brazilpt_BR
dc.title.alternativeLevantamento de solos como suporte à cafeicultura de precisão e desenvolvimento dos vinhos de inverno no Sudeste do Brasilpt_BR
dc.typetesept_BR
dc.publisher.programPrograma de Pós-Graduação em Ciência do Solopt_BR
dc.publisher.initialsUFLApt_BR
dc.publisher.countrybrasilpt_BR
dc.contributor.advisor1Menezes, Michele Duarte de-
dc.contributor.advisor-co1Curi, Nilton-
dc.contributor.referee1Mota, Renata Vieira da-
dc.contributor.referee2Ferraz, Gabriel Araújo e Silva-
dc.contributor.referee3Pozza, Adélia Aziz Alexandre-
dc.contributor.referee4Silva, Sérgio Henrique Godinho da-
dc.description.resumoNão se aplicapt_BR
dc.publisher.departmentDepartamento de Ciência do Solopt_BR
dc.subject.cnpqCiência do Solopt_BR
dc.creator.Latteshttp://lattes.cnpq.br/7239104601920824pt_BR
Aparece nas coleções:Ciência do Solo - Doutorado (Teses)

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