RESUMO

Soils provide a broad set of vital ecosystem services and sustains the production of food and fibers, balancing the ecosystem. Thus, from the perspective of soil quality, it is defined as an ability to balance within the ecosystem to sustain biological productivity, promoting the health of plants and animals, being evaluated by traditional indicators as physical, chemical and biological indicators, so the present work aims to estimate the soil quality index using multivariate models using soil biological attributes and validation with growth variables of the bioindicator plant. The study was developed in the agricultural area in P. Prudente, SP, the points collected were georeferenced, collections in depth of 0 -20 cm, microbiological analysis, microbial carbon and nitrogen biomass, dehydrogenase, respiration and microbial coefficient, having a bioindicator plant curly lettuce (Lucy Brown) as a validator of the soil. The results were discovered using the PCA model for the identification of autos vectors and autos values, grouping and identifying their collinearities, linear regression, r-pearson validation and cluster heuristic analysis. The microbial attributes and the bioindicator plant discriminated the agricultural areas evaluated with establishment and validation of SQI. The metabolic coefficient and N of the microbial biomass dissipation of the highest covariance values by multivariate analysis. The reforestation area with native species (SQI0.782%) and the livestock crop integration system (SQI0.765%) were evaluated as areas with better soil quality.

O solo fornece o conjunto de serviços ambientais vitaise dinâmico que condiciona e sustenta a produção de alimentos e fibras, balanceando o ecossistema, dessa forma, sob a ótica da qualidade do solo é definida como a capacidade de se equilibrar dentro do ecossistema para sustentar a produtividade biológica, promovendo a saúde das plantas e animais, sendo avaliada pelos indicadores tradicionais como indicadores físicos, químicos e biológicos, assim o presente trabalho tem como objetivo estimar índice qualidade do solo com uso de modelos multivariados utilizando-se de atributos biológicos do solo e validação com variáveis de crescimento da planta bioindicadora. O estudo foi desenvolvido na área agrícola da universidade do Oeste Paulista, campus II, os pontos coletados foram georreferenciados, coletatos em profundidade de 0 –20 cm, realizado as análises microbiológicas, biomassa microbiana do carbono e nitrogênio, desidrogenase, respiração e coeficiente microbiano, tendo a planta bioindicadora alface crespa (Lucy Brown) como validador do solo. Os resultados foram submetidos ao modelo de PCA para a identificação dos autos vetores e autos valores agrupando e identificando suas colinearidades, regressão linear, validação r-pearson e análise heurística de cluster. Os atributos microbianos e a planta bioindicadora discriminaram as áreas agrícolas avaliadas com atribuição e validação de SQI. O coeficiente metabólico e N da biomassa microbiana apresentaram os maiores valores de covariância pela análise multivariada. A área de reflorestamentocom espécies nativas (SQI0,782%) e o sistema de integração lavoura pecuária (SQI0,765%) foram consideradas as áreas com melhor qualidade de solo.

Assuntos

RESUMO

Soils provide a broad set of vital ecosystem services and sustains the production of food and fibers, balancing the ecosystem. Thus, from the perspective of soil quality, it is defined as an ability to balance within the ecosystem to sustain biological productivity, promoting the health of plants and animals, being evaluated by traditional indicators as physical, chemical and biological indicators, so the present work aims to estimate the soil quality index using multivariate models using soil biological attributes and validation with growth variables of the bioindicator plant. The study was developed in the agricultural area in P. Prudente, SP, the points collected were georeferenced, collections in depth of 0 -20 cm, microbiological analysis, microbial carbon and nitrogen biomass, dehydrogenase, respiration and microbial coefficient, having a bioindicator plant curly lettuce (Lucy Brown) as a validator of the soil. The results were discovered using the PCA model for the identification of autos vectors and autos values, grouping and identifying their collinearities, linear regression, r-pearson validation and cluster heuristic analysis. The microbial attributes and the bioindicator plant discriminated the agricultural areas evaluated with establishment and validation of SQI. The metabolic coefficient and N of the microbial biomass dissipation of the highest covariance values by multivariate analysis. The reforestation area with native species (SQI0.782%) and the livestock crop integration system (SQI0.765%) were evaluated as areas with better soil quality.(AU)

O solo fornece o conjunto de serviços ambientais vitaise dinâmico que condiciona e sustenta a produção de alimentos e fibras, balanceando o ecossistema, dessa forma, sob a ótica da qualidade do solo é definida como a capacidade de se equilibrar dentro do ecossistema para sustentar a produtividade biológica, promovendo a saúde das plantas e animais, sendo avaliada pelos indicadores tradicionais como indicadores físicos, químicos e biológicos, assim o presente trabalho tem como objetivo estimar índice qualidade do solo com uso de modelos multivariados utilizando-se de atributos biológicos do solo e validação com variáveis de crescimento da planta bioindicadora. O estudo foi desenvolvido na área agrícola da universidade do Oeste Paulista, campus II, os pontos coletados foram georreferenciados, coletatos em profundidade de 0 –20 cm, realizado as análises microbiológicas, biomassa microbiana do carbono e nitrogênio, desidrogenase, respiração e coeficiente microbiano, tendo a planta bioindicadora alface crespa (Lucy Brown) como validador do solo. Os resultados foram submetidos ao modelo de PCA para a identificação dos autos vetores e autos valores agrupando e identificando suas colinearidades, regressão linear, validação r-pearson e análise heurística de cluster. Os atributos microbianos e a planta bioindicadora discriminaram as áreas agrícolas avaliadas com atribuição e validação de SQI. O coeficiente metabólico e N da biomassa microbiana apresentaram os maiores valores de covariância pela análise multivariada. A área de reflorestamentocom espécies nativas (SQI0,782%) e o sistema de integração lavoura pecuária (SQI0,765%) foram consideradas as áreas com melhor qualidade de solo.(AU)

Assuntos

RESUMO

The endobenthic bivalves are widely used as a bioindicators since they inhabit the sediment-water interface and are able to accumulate a different kind of contaminants. In the present work, we evaluated wild Corbicula largillierti (Phillippi, 1844) as a bioindicator of water quality in the central region of Argentina. The responses at different levels of the biological organization were used. We measured organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) levels in water and clams tissues. The biomarkers selected were enzymatic activities (Glutathione S-Transferase, Catalase, Acetyl-, Butyryl-cholinesterase, and Carboxylesterase) morphometry of the digestive gland, condition index and morphology of valves. In order to integrate all the responses a multivariate analysis and integrated stress index were applied. Our results showed the presence of contaminants along the studied river and the ability of C. largillierti to bioaccumulate them. All the biomarkers selected varied according to the water quality gradient, although there was no specific correlation with OCPs and PCBs levels. At the most polluted sites, the detoxification and oxidative stress enzymes, the morphometric analysis of the digestive gland and the variation in the morphology of the valves indicated the water quality degradation. The multivariate analyses allowed to discriminate the sites according to the different biomarker responses. The IBR index also showed a variation pattern according to the environmental quality gradient along the basin. According to the responses shown by C. largillierti we suggest this species as an useful bioindicator of aquatic pollution.

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RESUMO

The objective of this study is to analyze whether a combination of biomarkers at different levels of biological complexity could be used to assess the health status of a population of Brachidontes rodriguezii associated to a harbor area in Mar del Plata, Argentina. A battery of biomarkers of general stress was measured in mussels collected from impacted and non-impacted areas. This included: condition index; shell analysis; histopathological alterations; atrophy and integrity of the digestive gland tissue; changes in cell type composition of the digestive gland, and glycogen accumulation. The studied biomarkers were integrated into the Integrative Biological Response (IBR/n) index. Overall, the IBR/n indicated a higher level of stress in mussels located in the harbor area. Thus, this biomarker index is a sensitive analytical tool that could be used to classify the ecotoxicological risk in coastal sites.

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RESUMO

Background: Bivalve mollusks, such as the Perna perna mussels, are used as bioindicators of aquatic contamination by heavy metals, pesticides, bacteria, viruses and protozoa. The protozoan Cryptosporidium spp. has species capable of infecting several hosts, including humans, with ingestion being the only form of transmission of oocysts, through water and/or contaminated food. The objective of this study was to use Perna perna mussels as bioindicators of aquatic contamination through the genetic characterization of species and/or genotypes of Cryptosporidium, associating the sources of environmental contamination by faeces and correlating the possible presence of the protozoan with precipitation indexes in the region of Mangaratiba, Rio de Janeiro.Materials, Methods & Results: The mussels were obtained from two sites, both formed by rocks bathed in natural sea water. Site A is called Lage Black and site B is called beach Bag. Samples were taken monthly from March 2009 to February 2010, totaling 12 collections. For the analyzes, the DNA extracted from tissues of mussels was used in the amplification of 18 SSU rDNA sequences, through the Nested-PCR technique. During all months of the study, we diagnosed Cryptosporidium-positive Perna perna mussels samples from, at least, one of the sites studied. We could identify the species C. andersoni, C. meleagridis and C. parvum...

Assuntos

RESUMO

Background: Bivalve mollusks, such as the Perna perna mussels, are used as bioindicators of aquatic contamination by heavy metals, pesticides, bacteria, viruses and protozoa. The protozoan Cryptosporidium spp. has species capable of infecting several hosts, including humans, with ingestion being the only form of transmission of oocysts, through water and/or contaminated food. The objective of this study was to use Perna perna mussels as bioindicators of aquatic contamination through the genetic characterization of species and/or genotypes of Cryptosporidium, associating the sources of environmental contamination by faeces and correlating the possible presence of the protozoan with precipitation indexes in the region of Mangaratiba, Rio de Janeiro.Materials, Methods & Results: The mussels were obtained from two sites, both formed by rocks bathed in natural sea water. Site A is called Lage Black and site B is called beach Bag. Samples were taken monthly from March 2009 to February 2010, totaling 12 collections. For the analyzes, the DNA extracted from tissues of mussels was used in the amplification of 18 SSU rDNA sequences, through the Nested-PCR technique. During all months of the study, we diagnosed Cryptosporidium-positive Perna perna mussels samples from, at least, one of the sites studied. We could identify the species C. andersoni, C. meleagridis and C. parvum...(AU)

Assuntos