Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso
Ano de defesa: | 2020 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal de Mato Grosso
Brasil Faculdade de Agronomia e Zootecnia (FAAZ) UFMT CUC - Cuiabá Programa de Pós-Graduação em Agricultura Tropical |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://ri.ufmt.br/handle/1/2585 |
Resumo: | Microbiological variables are important for determining soil quality, which can be expressed through indexes. The soil microbiological quality index (SMQI) reflects the capacity that a soil would have to produce profitable crops, insuring the sustainability of the productive system. Therefore, the objective of this study was to evaluate soil microbiological quality indicators in areas of high (> 70 sc ha-1), medium (60 to 70 sc ha-1) and low (<60 sc ha-1) soybean productivity in the state of Mato Grosso (MT). For this purpose, soil samples were collected (depth 0-20 cm) in 61 soybean production areas in the state of MT, in which nematological analyzes and analyzes of soil enzymes were carried out. The following microbiological attributes were evaluated: populations of Pratylenchus brachyurus, Meloidogyne spp., Heterodera glycines, Helicotylenchus dihystera, Rotylenchulus reniformis and nematode eggs in the roots and soil, β-glucosidase enzyme, acid phosphatase enzyme and arylsulfatase enzyme. Through principal component analysis (PCA), it was determined which variables had correlations with the components and the SMQI was determined. PCA showed that the enzyme arylsulfatase is an important variable for discriminating areas of high, medium and low productivity. The other variables did not discriminate between high, medium and low productivity areas. The nematodes H. glycines, H. dihystera and P. brachyurus, both in the root and in the soil, correlate negatively (Spearmam correlation) with the SMQI. The enzymes β-glycosidase, and arylsulfatase correlated positively with the productivity (high, medium and low) of the studied areas, revealing to be good variable indicators for soil quality. The SMQI Enzymes, which only considers the variables related to the enzymatic activity, allowed to differentiate the soil quality in the studied areas where the soil of the areas with high and medium productivity were classified as medium quality, and the soil of the areas with low productivity were classified as low quality. |
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Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato GrossoEnzimasNematoidesCNPQ::CIENCIAS AGRARIAS::AGRONOMIAEnzymesNematodesMicrobiological variables are important for determining soil quality, which can be expressed through indexes. The soil microbiological quality index (SMQI) reflects the capacity that a soil would have to produce profitable crops, insuring the sustainability of the productive system. Therefore, the objective of this study was to evaluate soil microbiological quality indicators in areas of high (> 70 sc ha-1), medium (60 to 70 sc ha-1) and low (<60 sc ha-1) soybean productivity in the state of Mato Grosso (MT). For this purpose, soil samples were collected (depth 0-20 cm) in 61 soybean production areas in the state of MT, in which nematological analyzes and analyzes of soil enzymes were carried out. The following microbiological attributes were evaluated: populations of Pratylenchus brachyurus, Meloidogyne spp., Heterodera glycines, Helicotylenchus dihystera, Rotylenchulus reniformis and nematode eggs in the roots and soil, β-glucosidase enzyme, acid phosphatase enzyme and arylsulfatase enzyme. Through principal component analysis (PCA), it was determined which variables had correlations with the components and the SMQI was determined. PCA showed that the enzyme arylsulfatase is an important variable for discriminating areas of high, medium and low productivity. The other variables did not discriminate between high, medium and low productivity areas. The nematodes H. glycines, H. dihystera and P. brachyurus, both in the root and in the soil, correlate negatively (Spearmam correlation) with the SMQI. The enzymes β-glycosidase, and arylsulfatase correlated positively with the productivity (high, medium and low) of the studied areas, revealing to be good variable indicators for soil quality. The SMQI Enzymes, which only considers the variables related to the enzymatic activity, allowed to differentiate the soil quality in the studied areas where the soil of the areas with high and medium productivity were classified as medium quality, and the soil of the areas with low productivity were classified as low quality.CAPESCNPqAs variáveis microbiológicas são importantes para a determinação da qualidade do solo, a qual pode ser expressa por meio de índices. O índice de qualidade microbiológica do solo (IQMS) traduz a capacidade que um solo teria de produzir colheitas rentáveis, garantindo a sustentabilidade do sistema produtivo. Desta forma, objetivou-se com o presente trabalho avaliar indicadores de qualidade microbiológicos do solo em áreas de alta (>70 sc ha-1 ), média (60 a 70 sc ha-1 ) e baixa (<60 sc ha-1 ) produtividade de soja no estado de Mato Grosso (MT). Para tanto, coletou-se amostras de solos (profundidade de 0-20 cm) em 61 áreas de produção de soja do estado de MT, nas quais fez-se análises nematológicas e análises de enzimas do solo. Foram avaliados os seguintes atributos microbiológicos: populações de Pratylenchus brachyurus, Meloidogyne spp., Heterodera glycines, Helicotylenchus dihystera, Rotylenchulus reniformis e ovos de nematoides nas raízes e no solo, enzima β-glicosidase, enzima fosfatase ácida e enzima arilsulfatase. Através da análise de componentes principais (ACP), determinou-se quais variáveis tiveram correlações com os componentes e determinou-se o IQMS. A ACP mostrou que a enzima arilsulfatase é uma importante variável de discriminação de áreas de alta, média e baixa produtividade. As demais variáveis não discriminaram as áreas de alta, média e baixa produtividade. Os nematoides H. glycines, H. dihystera e P. brachyurus, tanto na raiz quanto no solo, correlacionam negativamente (correlação de Spearmam) com o IQMS. As enzimas β-glicosidase, e arilsulfatase correlacionaram positivamente com a produtividade (alta, média e baixa) das áreas estudadas, evidenciando, desta forma, serem boas variáveis indicadoras de qualidade do solo. O IQMS-Enzimas, que considera apenas as variáveis relativas à atividade enzimática, permite diferenciar a qualidade do solo nas áreas estudadas, sendo classificado como de média qualidade, o solo das áreas de alta e média produtividade e de baixa qualidade, o solo das áreas de baixa produtividade.Universidade Federal de Mato GrossoBrasilFaculdade de Agronomia e Zootecnia (FAAZ)UFMT CUC - CuiabáPrograma de Pós-Graduação em Agricultura TropicalAmorim, Ricardo Santos SilvaFerreira, Paulo Afonsohttp://lattes.cnpq.br/0172274151570873http://lattes.cnpq.br/7163717039353133Amorim, Ricardo Santos Silva841.493.376-91http://lattes.cnpq.br/7163717039353133Ferreira, Paulo Afonso050.297.786-83http://lattes.cnpq.br/0172274151570873841.493.376-91050.297.786-83Moraes, Milton Ferreira de841.428.631-34http://lattes.cnpq.br/1541223007968886Goussain, Rita de Cassia Santos717.742.626-49http://lattes.cnpq.br/6074172796652309Aguillera, Luís Alberto2021-07-02T21:11:52Z2021-02-252021-07-02T21:11:52Z2020-12-18info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisAGUILLERA, Luís Alberto. Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso. 2020. 46 f. Dissertação (Mestrado em Agricultura Tropical) - Universidade Federal de Mato Grosso, Faculdade de Agronomia e Zootecnia, Cuiabá, 2020.http://ri.ufmt.br/handle/1/2585porBolsistainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMTinstname:Universidade Federal de Mato Grosso (UFMT)instacron:UFMT2021-07-04T07:02:37ZRepositório InstitucionalPUB |
dc.title.none.fl_str_mv |
Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso |
title |
Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso |
spellingShingle |
Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso Aguillera, Luís Alberto Enzimas Nematoides CNPQ::CIENCIAS AGRARIAS::AGRONOMIA Enzymes Nematodes |
title_short |
Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso |
title_full |
Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso |
title_fullStr |
Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso |
title_full_unstemmed |
Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso |
title_sort |
Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso |
author |
Aguillera, Luís Alberto |
author_facet |
Aguillera, Luís Alberto |
author_role |
author |
dc.contributor.none.fl_str_mv |
Amorim, Ricardo Santos Silva Ferreira, Paulo Afonso http://lattes.cnpq.br/0172274151570873 http://lattes.cnpq.br/7163717039353133 Amorim, Ricardo Santos Silva 841.493.376-91 http://lattes.cnpq.br/7163717039353133 Ferreira, Paulo Afonso 050.297.786-83 http://lattes.cnpq.br/0172274151570873 841.493.376-91 050.297.786-83 Moraes, Milton Ferreira de 841.428.631-34 http://lattes.cnpq.br/1541223007968886 Goussain, Rita de Cassia Santos 717.742.626-49 http://lattes.cnpq.br/6074172796652309 |
dc.contributor.author.fl_str_mv |
Aguillera, Luís Alberto |
dc.subject.por.fl_str_mv |
Enzimas Nematoides CNPQ::CIENCIAS AGRARIAS::AGRONOMIA Enzymes Nematodes |
topic |
Enzimas Nematoides CNPQ::CIENCIAS AGRARIAS::AGRONOMIA Enzymes Nematodes |
description |
Microbiological variables are important for determining soil quality, which can be expressed through indexes. The soil microbiological quality index (SMQI) reflects the capacity that a soil would have to produce profitable crops, insuring the sustainability of the productive system. Therefore, the objective of this study was to evaluate soil microbiological quality indicators in areas of high (> 70 sc ha-1), medium (60 to 70 sc ha-1) and low (<60 sc ha-1) soybean productivity in the state of Mato Grosso (MT). For this purpose, soil samples were collected (depth 0-20 cm) in 61 soybean production areas in the state of MT, in which nematological analyzes and analyzes of soil enzymes were carried out. The following microbiological attributes were evaluated: populations of Pratylenchus brachyurus, Meloidogyne spp., Heterodera glycines, Helicotylenchus dihystera, Rotylenchulus reniformis and nematode eggs in the roots and soil, β-glucosidase enzyme, acid phosphatase enzyme and arylsulfatase enzyme. Through principal component analysis (PCA), it was determined which variables had correlations with the components and the SMQI was determined. PCA showed that the enzyme arylsulfatase is an important variable for discriminating areas of high, medium and low productivity. The other variables did not discriminate between high, medium and low productivity areas. The nematodes H. glycines, H. dihystera and P. brachyurus, both in the root and in the soil, correlate negatively (Spearmam correlation) with the SMQI. The enzymes β-glycosidase, and arylsulfatase correlated positively with the productivity (high, medium and low) of the studied areas, revealing to be good variable indicators for soil quality. The SMQI Enzymes, which only considers the variables related to the enzymatic activity, allowed to differentiate the soil quality in the studied areas where the soil of the areas with high and medium productivity were classified as medium quality, and the soil of the areas with low productivity were classified as low quality. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-18 2021-07-02T21:11:52Z 2021-02-25 2021-07-02T21:11:52Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
AGUILLERA, Luís Alberto. Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso. 2020. 46 f. Dissertação (Mestrado em Agricultura Tropical) - Universidade Federal de Mato Grosso, Faculdade de Agronomia e Zootecnia, Cuiabá, 2020. http://ri.ufmt.br/handle/1/2585 |
identifier_str_mv |
AGUILLERA, Luís Alberto. Indicadores microbiológicos em áreas de cultivo de soja no estado de Mato Grosso. 2020. 46 f. Dissertação (Mestrado em Agricultura Tropical) - Universidade Federal de Mato Grosso, Faculdade de Agronomia e Zootecnia, Cuiabá, 2020. |
url |
http://ri.ufmt.br/handle/1/2585 |
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por |
language |
por |
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Bolsista |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Mato Grosso Brasil Faculdade de Agronomia e Zootecnia (FAAZ) UFMT CUC - Cuiabá Programa de Pós-Graduação em Agricultura Tropical |
publisher.none.fl_str_mv |
Universidade Federal de Mato Grosso Brasil Faculdade de Agronomia e Zootecnia (FAAZ) UFMT CUC - Cuiabá Programa de Pós-Graduação em Agricultura Tropical |
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Universidade Federal de Mato Grosso (UFMT) |
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