Federal University of Mato Grosso do Sul

About: Federal University of Mato Grosso do Sul is a education organization based out in Campo Grande, Brazil. It is known for research contribution in the topics: Population & Species richness. The organization has 6903 authors who have published 9030 publications receiving 78977 citations. The organization is also known as: UFMS & Federal University of Mato Grosso do Sul.

Water resources deterioration and its impact on human health

Abstract: The objective of the study is to analyse the actual availability of water resources and its impact on human health deterioration The following aspects were studied: (a) human activities and environmental deterioration; (b) statistics on the availability and demand of water resources; (c) urban and industry wastes as sources of water resources contamination; and (d) deleterious effect of contaminated water on human health Statistical data on the impact of contaminated water on human health and the increasing demand of water resources are alarming It is paramount that modern generations develop an environmental awareness to avoid overstressing water systems, as predicted to come about in the very near future

Thresholds of species loss in Amazonian deforestation frontier landscapes.

Abstract: In the Brazilian Amazon, private land accounts for the majority of remaining native vegetation. Understanding how land-use change affects the composition and distribution of biodiversity in farmlands is critical for improving conservation strategies in the face of rapid agricultural expansion. Working across an area exceeding 3 million ha in the southwestern state of Rondonia, we assessed how the extent and configuration of remnant forest in replicate 10,000-ha landscapes has affected the occurrence of a suite of Amazonian mammals and birds. In each of 31 landscapes, we used field sampling and semistructured interviews with landowners to determine the presence of 28 large and medium sized mammals and birds, as well as a further 7 understory birds. We then combined results of field surveys and interviews with a probabilistic model of deforestation. We found strong evidence for a threshold response of sampled biodiversity to landscape level forest cover; landscapes with <30-40% forest cover hosted markedly fewer species. Results from field surveys and interviews yielded similar thresholds. These results imply that in partially deforested landscapes many species are susceptible to extirpation following relatively small additional reductions in forest area. In the model of deforestation by 2030 the number of 10,000-ha landscapes under a conservative threshold of 43% forest cover almost doubled, such that only 22% of landscapes would likely to be able to sustain at least 75% of the 35 focal species we sampled. Brazilian law requires rural property owners in the Amazon to retain 80% forest cover, although this is rarely achieved. Prioritizing efforts to ensure that entire landscapes, rather than individual farms, retain at least 50% forest cover may help safeguard native biodiversity in private forest reserves in the Amazon.

Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images

Abstract: Soybean has been the main Brazilian agricultural commodity, contributing substantially to the country’s trade balance. However, foliar diseases are the key factor that can undermine the soy production, usually caused by fungi, bacteria, viruses, and nematodes. This letter proposes a computer vision system to track soybean foliar diseases in the field using images captured by the low-cost unmanned aerial vehicle model DJI Phantom 3. The proposed system is based on the segmentation method Simple Linear Iterative Clustering to detect plant leaves in the images and on visual attributes to describe the features of foliar physical properties, such as color, gradient, texture, and shape. Our methodology evaluated the performance of six classifiers for different heights, including 1, 2, 4, 8, and 16 m. Experimental results showed that color and texture attributes lead to higher classification rates, achieving the precision of 98.34% for heights between 1 and 2 m, with a decay of 2% at each meter. Results indicate that our approach can support experts and farmers to monitor diseases in soybean fields.

Paracoccidioidomycosis: Current Perspectives from Brazil.

Abstract: Background This review article summarizes and updates the knowledge on paracoccidioidomycosis. P lutzii and the cryptic species of P. brasiliensis and their geographical distribution in Latin America, explaining the difficulties observed in the serological diagnosis. Objectives Emphasis has been placed on some genetic factors as predisposing condition for paracoccidioidomycosis. Veterinary aspects were focused, showing the wide distribution of infection among animals. The cell-mediated immunity was better characterized, incorporating the recent findings. Methods Serological methods for diagnosis were also compared for their parameters of accuracy, including the analysis of relapse. Results Clinical forms have been better classified in order to include the pictures less frequently observesiod. Conclusion Itraconazole and the trimethoprim-sulfamethoxazole combination was compared regarding efficacy, effectiveness and safety, demonstrating that azole should be the first choice in the treatment of paracoccidioidomycosis.

Mammals from Mato Grosso do Sul, Brazil

Abstract: The aim of this paper is to provide a checklist of flying and non-flying mammal species which occur in the state of Mato Grosso do Sul, delimiting species by vegetation domains and vulnerability. Records were based on specimens in museums, literature, and only eventually on photos (by camera traps). There are 151 mammal species reported or collected in the state, comprising 10 orders and 29 families. The richest orders were Chiroptera (61 spp.), Rodentia (35), Carnivora (18), and Didelphimorphia (16). The richest families were Phyllostomidae (33 species), Cricetidae (23), Didelphidae (16), Molossidae (13), Vespertilionidae (9), Felidae (7), and Dasypodidae (6). Cerrado was the richest domain (117 spp.) followed by Pantanal (110). According to the Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renovaveis (IBAMA) and the International Union for Conservation of Nature (IUCN), 17 species are threatened; they are species of Felidae (n = 6), but also include Canidae (2), Didelphidae (2), Cervidae (1),