How do season, on-farm fasting interval and lairage period affect swine welfare, carcass and meat quality traits?

This study was carried out in order to determine the effects of different combinations of on-farm fasting intervals (8, 12, 16, 20 h) and 1.5 h of transport plus lairage periods (1, 3, 6 h) at different seasons (summer/winter) on blood stress parameters (cortisol and lactate), stomach content and weight, skin lesion and meat quality in a total of 960 pigs from eight farms. Blood lactate levels were greater in the summer (P < 0.001) and stomach content was affected (P < 0.05) by season, on-farm fasting interval (P < 0.001), lairage time (P < 0.0001). Stomach content weight reduces as the total feed withdrawal time increases up to on-farm fasting of 17 and 1 h of lairage. Stomach content can be influenced by feed and water in different ways according to treatments. Only 8 h of on-farm fasting is not enough to empty stomachs from feed content. However, an on-farm fasting period of 16 h or longer can also increase the occurrence of more water in the stomachs. Carcass lesions caused by fighting were greater (P ≤ 0.005) in the winter, mainly after 3 and 6 h of lairage (P ≤ 0.005). Loin and ham pHu was lower (P ≤ 0.05) for pigs slaughtered after 6 h of lairage during the summer. The application of 12 h of on-farm fasting with 6 h of lairage seemed to be best combination to reduce stomach content weight (feed and water). In the winter, shorter lairage period can be used to reduce percentage of skin lesions and better pork quality traits in pigs.

Incidence of subclinical endometritis and its effects on reproductive performance of crossbred dairy cows.

In dairy cattle, uterine infections are not life threatening and often unavoidable; however, they reduce fertility and increase the production costs of properties. The aim of this study was to evaluate the incidence of subclinical endometritis from 32 to 70 days in milk (DIM) and its effects on the reproductive performance of crossbred dairy cows. Lactating cows (Holstein/Gir; n = 172), with no history of retained placenta, without clinical signs of uterine infection were used. The body condition score (BCS) was evaluated on a scale from 1 to 5. Ultrasound examination was performed to evaluate uterine lining and ovarian activity, while vaginal mucus was analyzed by gloved hand. The diagnosis of subclinical endometritis was performed by endometrial cytobrush technique. The samples were collected, stained, and examined microscopically; positive cases for subclinical endometritis were considered with the presence of ≥5 % of neutrophils. Later, the cows were submitted to conventional artificial insemination or timed artificial insemination. The incidence of subclinical endometritis in the herd was 26 %, and this was not affected by the season of calving, presence of corpus luteum, DIM, and parity. Cows with a BCS ≤2.50 had a higher incidence of subclinical endometritis. The conception rate to first insemination and pregnancy rate at 150 days postpartum were not influenced by the presence of subclinical endometritis in crossbred dairy cows.

Exploratory analysis of differences in sperm morphology in Nelore and Gir (Bos indicus) bulls.

The aim of this study was to evaluate the effects of breed and season on semen quality parameters of zebu bulls. Data (1,632 registers) of semen production from Gir (n = 4) and Nelore (n = 15) bulls were collected between October 2005 and November 2009. The ejaculates were collected twice a week during various seasons (summer, fall, winter, and spring) and evaluated for the following semen parameters: ejaculate volume, sperm concentration, sperm motility, forward progressive motility (FPM), and sperm morphology. Factor analysis was used to determine the relationship among variables. The effect of breed (Gir and Nelore) and season and their cross effect on each parameter and extracted factor were tested using ANOVA. A negative correlation (P < 0.05) was observed between FPM and proximal droplet, as well as with abnormal loose head, abnormal small head, pouch formation, abnormal mid-piece, and strongly folded tail. Gir bull sperm showed more major defects, detached acrosome, and minor FPM (P < 0.01), whereas Nelore bulls showed a higher number of sperm with normally loose head.

Machine learning for prediction of soil CO2 emission in tropical forests in the Brazilian Cerrado.

Soil CO2 emission (FCO2) is a critical component of the global carbon cycle, but it is a source of great uncertainty due to the great spatial and temporal variability. Modeling of soil respiration can strongly contribute to reducing the uncertainties associated with the sources and sinks of carbon in the soil. In this study, we compared five machine learning (ML) models to predict the spatiotemporal variability of FCO2 in three reforested areas: eucalyptus (RE), pine (RP) and native species (RNS). The study also included a generalized scenario (GS) where all the data from RE, RP and RNS were included in one dataset. The ML models include generalized regression neural network (GRNN), radial basis function neural network (RBFNN), multilayer perceptron neural network (MLPNN), adaptive neuro-fuzzy inference system (ANFIS) and random forest (RF). Initially, we had 32 attributes and after pre-processing, including Pearson's correlation, canonical correlation analysis (CCA), and biophysical justification, only 21 variables remained. We used as input variables 19 soil properties and climate variables in reforested areas of eucalyptus, pine and native species. RF was the best model to predict soil respiration to RE [adjusted coefficient of determination (R2 adj): 0.70 and root mean square error (RMSE): 1.02 µmol m-2 s-1], RP (R2 adj: 0.48 and RMSE: 1.07 µmol m-2 s-1) and GS (R2 adj: 0.70 and RMSE: 1.05 µmol m-2 s-1). Our findings support that RF and GRNN are promising for predicting soil respiration of reforested areas which could help to identify and monitor potential sources and sinks of the main additional greenhouse gas over ecosystems.

Soil CO2 emission and soil attributes associated with the microbiota of a sugarcane area in southern Brazil.

The spatial structure of soil CO2 emission (FCO2) and soil attributes are affected by different factors in a highly complex way. In this context, this study aimed to characterize the spatial variability patterns of FCO2 and soil physical, chemical, and microbiological attributes in a sugarcane field area after reform activities. The study was conducted in an Oxisol with the measurement of FCO2, soil temperature (Ts), and soil moisture (Ms) in a regular 90 × 90-m grid with 100 sampling points. Soil samples were collected at each sampling point at a depth of 0-0.20 m to determine soil physical (density, macroporosity, and microporosity), particle size (sand, silt, and clay), and chemical attributes (soil organic matter, pH, P, K, Ca, Mg, Al, H + Al, cation exchange capacity, and base saturation). Geostatistical analyses were performed to assess the spatial variability and map soil attributes. Two regions (R1 and R2) with contrasting emission values were identified after mapping FCO2. The abundance of bacterial 16S rRNA, pmoA, and nifH genes, determined by real-time quantitative PCR (qPCR), enzymatic activity (dehydrogenase, urease, cellulase, and amylase), and microbial biomass carbon were determined in R1 and R2. The mean values of FCO2 (2.91 µmol m-2 s-1), Ts (22.6 °C), and Ms (16.9%) over the 28-day period were similar to those observed in studies also conducted under Oxisols in sugarcane areas and conventional soil tillage. The spatial pattern of FCO2 was similar to that of macropores, air-filled pore space, silt content, soil organic matter, and soil carbon decay constant. No significant difference was observed between R1 and R2 for the copy number of bacterial 16S rRNA and nifH genes, but the results of qPCR for the pmoA gene presented differences (p < 0.01) between regions. The region R1, with the highest FCO2 (2.9 to 4.2 µmol m-2 s-1), showed higher enzymatic activity of dehydrogenase (33.02 µg TPF g-1 dry soil 24 h-1), urease (41.15 µg NH4-N g-1 dry soil 3 h-1), amylase (73.84 µg glucose g-1 dry soil 24 h-1), and microbial biomass carbon (41.35 µg C g-1 soil) than R2, which had the lowest emission (1.9 to 2.7 µmol m-2 s-1). In addition, the soil C/N ratio was higher in R2 (15.43) than in R1 (12.18). The spatial pattern of FCO2 in R1 and R2 may not be directly related to the total amount of the microbial community (bacterial 16S rRNA) in the soil but to the specific function that these microorganisms play regarding soil carbon degradation (pmoA).

Estimate of in vitro embryo production based on sperm subpopulations in Senepol bulls.

In cattle, in vitro embryo production (IVEP) is an important reproductive biotechnology responsible for the rapid expansion of the Senepol breed in our country. This breed has shown important results when used in crossbreeding and estimate IVEP in Senepol based on seminal analysis would be valuable for the semen cryopreservation industry, research institutes and breeders. Combining the evaluation of sperm subpopulations with analysis of other sperm attributes may help to improve fertility predictions in cattle. Therefore, the objectives of the present study were to: 1) identify and characterize motile sperm subpopulations in cryopreserved Senepol semen following the washing process carried out before in vitro fertilization, and 2) to determine an model for estimate IVEP based on sperm subpopulations in conjunction with other sperm quality analyzes. Samples of 38 cryopreserved semen from 28 Senepol bulls, chosen based on retrospective data from 386 IVEP routines, underwent the semen washing and were evaluated by the computer-assisted sperm analysis system. Sperm morphology was evaluated by wet preparation technique, and plasma and acrosomal membranes integrity, mitochondrial potential, oxidative status and chromatin resistance were analyzed by flow cytometry. After multivariate analysis of principal components and grouping, three sperm subpopulations were identified: SBP1 (fast and progressive motility), SBP2 (hyperactivated motility) and SBP3 (slow non-progressive motility). After categorization of IVEP in high, medium and low embryo yield, logistic regression analysis was applied to associate the results of subpopulations and other sperm quality variables with IVEP. The SBP1 and SBP2 variables affected embryo production, and an IVEP estimation model was generated for Senepol bulls based on these two subpopulations: embryo yield = 0.1563 + 0.0328 (SBP1) + 0.0173 (SBP2). SBP1 and SBP2 represents the absolute value of the percentage of subpopulations in semen. If the calculated value (by this equation) is close to 1, the embryo yield will be low; if is close to 2, will be medium; if is close to 3, will be high. In conclusion, three subpopulations were found for Senepol semen and, despite all analyzed variables, only SBP1 and SBP2 were included in the model to estimate IVEP in this breed.

(-)-Hinokinin-loaded poly(D,-lactide-co-glycolide) microparticles for Chagas disease.

The (-)-hinokinin display high activity against Trypanosoma cruzi in vitro and in vivo. (-)-Hinokinin-loaded poly(D,L-lactide-co-glycolide) microparticles were prepared and characterized in order to protect (-)-hinokinin of biological interactions and promote its sustained release for treatment of Chagas disease. The microparticles contain (-)-hinokinin were prepared by the classical method of the emulsion/solvent evaporation. The scanning electron microscopy, light-scattering analyzer were used to study the morphology and particle size, respectively. The encapsulation efficiency was determined, drug release studies were kinetically evaluated, and the trypanocidal effect was evaluated in vivo. (-)-Hinokinin-loaded microparticles obtained showed a mean diameter of 0.862 microm with smooth surface and spherical shape. The encapsulation efficiency was 72.46 +/- 2.92% and developed system maintained drug release with Higuchi kinetics. The preparation method showed to be suitable, since the morphological characteristics, encapsulation efficiency, and in vitro release profile were satisfactory. In vivo assays showed significant reduction of mice parasitaemia after administration of (-)-hinokinin-loaded microparticles. Thus, the developed microparticles seem to be a promising system for sustained release of (-)-hinokinin for treatment of Chagas disease.

Community knowledge on dengue in territories under risk in the state of São Paulo

In the last decades, the global incidence of arboviruses transmitted by the vector Aedes aegypti has increased dramatically with the increased oh human mobility and urbanization. The study of the mosquito population is of great importance for public health in countries where climatic and environmental conditions are favorable for the spread of these diseases transmitted by A. aegypti. This was a cross-sectional study that assessed causal relationships between why mosquitoes are prevalent in the region studied and socioeconomic variables, practices, knowledge, attitudes, and the effect of the cause in two regions chosen according to vulnerability (São Paulo Social Vulnerability Index). Of the 435 residents interviewed, 95% (413/435) were informed about vector control and claimed to contribute to the day-to-day sanitary practices necessary to combat it, in addition to being able to identify it. Most participants in both regions believed they were at risk, but vector control practices did not match those recorded in the survey. A correlation was found between the population's level of education and the practices observed. Despite the high levels of knowledge and the perceptions of the interviewed population about A. aegypti, the erroneous behavior of the residents persisted, thus hindering disease prevention and vector control actions, promoting the conditions conducive to the proliferation of the vector, and, consequently, increasing the risk of disease. The study indicated that one of the most effective means to control the A. aegypti vector is a society informed about preventive measures in the surveillance sectors.

Spatial distribution, prevalence and epidemiological risk factors of cysticercosis in cattle from state of São Paulo, Brazil, slaughtered for human consumption.

This present research focused on establishing the prevalence, geospatial distribution and epidemiological risk factors for bovine cysticercosis in the state of São Paulo, Brazil, in cattle slaughtered for human comsumption. Data about the inspection of 104,180 bovine carcasses from 215 farms and from 70 municipalities were gathered between January and December of 2012. A cluster analysis was performed in order to correlate some variables: prevalence of bovine cysticercosis, total coffee harvesting area (hectares), orange producing areas (hectares) and Human Development Index. Afterwards, distribution maps were created in order to help the results interpretation. An average prevalence of 2.9% was established in the state of São Paulo during the studied period. The Administrative regions of São José do Rio Preto and Campinas had higher risk for cysticercosis (OR >1 and 95% CI >1). The cluster analysis showed a grouping (G1 cluster) of the variables: prevalence of bovine cysticercosis, total area of sugar cane harvested, total area of orange harvested and total area of coffee harvested. This agrroupment allows us to infer that cyticercosis cases in this region are correlated with those variables distribution. Such aspects indicate that the presence of temporary rural workers and other socioeconomic and cultural features in each region can contribute to bovine cysticercosis dissemination in some areas.

Biophysical characteristics of soybean estimated by remote sensing associated with artificial intelligence

The biophysical characteristics of vegetative canopies, such as biomass, height, and canopy diameter, are of paramount importance for the study of the development and productive behavior of crops. Faced with a scarcity of studies aimed at estimating these parameters, the objective of this study was to evaluate the performance of artificial neural networks (ANNs) applied to Proximal Remote Sensing (PRS) to estimate biophysical characteristics of soybean culture. The data used to train and validate the ANNs came from an experiment composed of 65 plots with 30 x 30 m mesh, its development was carried out in the 2016/2017 crop in the Brazilian agricultural area. The evaluations were carried out at 30, 45, 60, and 75 days after sowing (DAS), monitoring the spatial and temporal variability of the biophysical characteristics of the soybean crop. Vegetation indexes were collected using canopy sensors. The accuracy and precision were determined by the coefficient of determination (R2) and the error of the forecasts by MAPE (Mean Absolute Percentage Error). PRS and ANNs showed high potential for application in agriculture, since they obtained good performance in the estimation of height (R2 = 0.89) and canopy diameter (R2 = 0.96), being fresh biomass (R2 =0.98) and dry biomass (R2 = 0.97) were the best-estimated variables.

Estudio etnoepidemiológico de medicamentos y uso de plantas medicinales en mujeres embarazadas / Ethno-epidemiological study of medicinal products and medicinal plants use among pregnant women

El objetivo de este estudio fue examinar el perfil de las mujeres embarazadas que visitaron el Sistema Único de Salud del municipio de Umuarama/PR y analizar el uso de medicamentos clasificados como D y X según la Administración de Alimentos y Medicamentos de los Estados Unidos (FDA) y plantas medicinales contraindicadas por posibles riesgos gestacionales. Se realizó un estudio etnoepidemiológico transversal a través de un cuestionario realizado entre 500 mujeres embarazadas en el período enero a mayo de 2017. Según las mujeres embarazadas, durante el período prenatal, el 67.8% no recibió información sobre el uso de plantas medicinales y el 26,6% respecto de plantas contraindicadas. Entre los medicamentos utilizados, el 12,2% pertenecía a la categoría "D" (anticonvulsivos), y el 2,4% pertenecía a la categoría "X" (anticonceptivos hormonales). Este trabajo destaca la necesidad de ampliar las actividades de promoción de la salud a las unidades básicas e implementar protocolos y herramientas de orientación técnica, así como la capacitación de profesionales farmacéuticos para educar a la población sobre el riesgo de estos medicamentos durante el embarazo.

The objective of this study was to examine the profile of pregnant women who visited the Unified Health System of the municipality of Umuarama/PR and to analyze their use of drugs categorized as D and X according to the United States Food and Drug Administration FDA and contraindicated medicinal plants for evaluating the potential gestational risks. A cross-sectional ethnoepidemiological study using a questionnaire was conducted among 500 pregnant women from January to May 2017. According to the pregnant women, during the prenatal period, 67.8% did not receive information on the use of medicinal plants and 26.6% used contraindicated plants. Among the drugs used, 12.2% belonged to category "D" (anticonvulsants), and 2.4% belonged to category "X" (hormonal contraceptives). This work highlights the need to expand health promotion activities to the basic units and implement protocols and technical guidance tools as well as training of pharmaceutical professionals to educate the population on the risk of these drugs during pregnancy.

Prevalence and geospatial distribution of bovine cysticercosis in the state of Mato Grosso, Brazil.

This study focused on estimating the prevalence and evaluating the geospatial distribution of bovine cysticercosis in the state of Mato Grosso, Brazil. To this, we used data of 6,200,497 animals slaughtered during the years of 2013 and 2014, and from 141 municipalities of the state. The prevalence observed for this period was 0.0873% (95% CI 0.0851-0.0897). Regarding the cysticerci detected, the calcified ones were the most frequent (74.43%). The high odds ratios were observed in animals reared in the Administrative Regions of Sinop, Barra do Garças, Água Boa, Cáceres, Barra do Bugres, Cuiabá, Pontes Lacerda, Rondonópolis, Matupa, São Félix do Araguaia and Lucas do Rio Verde, respectively. Furthermore, the results indicate the existence of a relation between the areas with high cysticercosis prevalence and human population density. We highlight the need of the development of a risk model based on the origin to improve cysticercosis detection in endemic areas.

Spatial distribution and risk factors for Toxoplasma gondii seropositivity in cattle slaughtered for human consumption in Rondônia, North region, Brazil.

The present study aimed to evaluate Toxoplasma gondii seroprevalence in cattle slaughtered for human consumption from rural properties in the state of Rondônia, North region, Brazil; the seroprevalence was determined using indirect immunofluorescence assays (IFATs). Additionally, spatial distribution and risk factors associated with toxoplasmosis were also analyzed. Of the 1000 cattle serum samples examined, 53 (5.3%) were determined to be seropositive for T. gondii with antibody titers (IgG) ≥64. In regard to results of the studied risk factors (presence of cats, cats with free access to cattle, breeding system, animal's gender, consumption of raw milk by humans on the property and cattle abortion in the last 12 months) and the odds ratio (OR) of each of these factors influencing cattle to acquire toxoplasmosis, only animals raised on a feeder/stocker/backgrounder system presented a higher probability of being seropositive for T. gondii (OR≥1, P=0.04) than cattle raised only in a feeder/stocker system. There was no association between the occurrence of reproductive problems and T. gondii seropositivity. Based on results obtained in the Brazilian state of Rondônia, it could be concluded that the presence of cats and their contact with cattle on each property, cattle breeding purpose and cattle abortion in the last 12 months were not considered risk factors for T. gondii infection in cattle. Considering that the presence of T. gondii was detected in animals slaughtered in the state of Rondônia, consuming raw or undercooked meat from seropositive cattle should be considered a route of transmission of T. gondii to humans. However, the prevalence of toxoplasmosis diagnosed in cattle from this state (5.30%) is lower than the prevalence of toxoplasmosis observed in South, Southeast and Center-West regions of Brazil, which may vary between 48.5% and 71.0%. The low prevalence of toxoplasmosis in cattle is highlighted in Rondônia, which is the sixth largest state for cattle slaughtering in Brazil and is responsible for producing 20% of all cattle meat exported by Brazil.

Artificial Neural Network applied as a methodology of mosquito species identification.

There are about 200 species of mosquitoes (Culicidae) known to be vectors of pathogens that cause diseases in humans. Correct identification of mosquito species is an essential step in the development of effective control strategies for these diseases; recognizing the vectors of pathogens is integral to understanding transmission. Unfortunately, taxonomic identification of mosquitoes is a laborious task, which requires trained experts, and it is jeopardized by the high variability of morphological and molecular characters found within the Culicidae family. In this context, the development of an automatized species identification method would be a valuable and more accessible resource to non-taxonomist and health professionals. In this work, an artificial neural network (ANN) technique was proposed for the identification and classification of 17 species of the genera Anopheles, Aedes, and Culex, based on wing shape characters. We tested the hypothesis that classification using ANN is better than traditional classification by discriminant analysis (DA). Thirty-two wing shape principal components were used as input to a Multilayer Perceptron Classification ANN. The obtained ANN correctly identified species with accuracy rates ranging from 85.70% to 100%, and classified species more efficiently than did the traditional method of multivariate discriminant analysis. The results highlight the power of ANNs to diagnose mosquito species and to partly automatize taxonomic identification. These findings also support the hypothesis that wing venation patterns are species-specific, and thus should be included in taxonomic keys.

Identification and characterization of regions of difference between the Salmonella Gallinarum biovar Gallinarum and the Salmonella Gallinarum biovar Pullorum genomes.

Salmonella Gallinarum is the causative agent of fowl typhoid, a severe septicaemic disease that affects birds of all ages, whereas S. Pullorum causes pullorum disease, a systemic disorder affecting primarily young birds. A proportion of birds with pullorum disease become carriers and are thereby able to transmit S. Pullorum vertically. Although these two pathogens cause distinct diseases, they are otherwise phenotypically and genetically similar. Therefore, the small variations that lead to the differences in virulence must have a genetic basis which currently is unknown. In the present study, we compared the genome sequences of S. Gallinarum (strains: SG287/91 and SG9) and S. Pullorum (strains: SP_CDC, SP_RKS, SP_FCAV, SP_S06) and identified 223 regions of difference (RODs), characterized by indels which were detected by using the software Artemis Comparison Tool. Some of the RODs led to pseudogenes frequently formed by frameshifts and premature stop codons in genes primarily involved in virulence and metabolism. We further verified the presence of some conserved RODs by PCR in 26 isolates of S. Gallinarum and 17 of S. Pullorum in order to extrapolate data analyses from genome comparison to field strains. The variations observed in virulence-related genes of S. Gallinarum and S. Pullorum appear not to be sufficient to explain the differences between the distinct biology of infection of fowl typhoid and pullorum disease. Thus, we suggest that the identified pseudogenes affecting metabolism might play a greater role during infection than previously thought.

[Social stigma and the families of patients with tuberculosis: a study based on cluster and multiple correspondence analysis]. / Estigma social e as famílias de doentes com tuberculose: um estudo a partir das análises de agrupamento e de correspondência múltipla.

The social stigma associated with TB is a challenge facing management of the area of public health care. The aim of this study was to investigate the social stigma in families of patients with TB and identify the profile of those who are affected by the event in relation to socioeconomic and demographic conditions. It is a cross-sectional study that was conducted in 2011 in the city of Ribeirão Preto, state of São Paulo, Brazil, with a sample of 110 individuals. The data were analyzed using the univariate descriptive technique and cluster and multiple correspondence assessment. The stigmatized groups tend to have lower scholarity, incipient access to the media and little understanding about TB, as opposed to those that have higher educational levels, continuous access to the media, consider themselves well informed and show proactive attitudes to deal with the disease. The identification of varied profiles highlights the need to develop health interventions to cater to the singularities of families with respect to the social stigma of the disease.

Perfil da leishmaniose cutânea americana na Amazônia Sul-Ocidental brasileira: uma abordagem multivariada / American cutaneous leishmaniasis profile in a Brazilian Southwestern Amazonia: a multivariate approach / Perfil de la leishmaniasis cutanea americana en la Amazonia Sul-occidental brasileña: un enfoque multivariado

Justificativa e Objetivos: A Leishmaniose Cutânea Americana (LCA) é uma doença de cadeia de transmissão complexa sujeita a diversos determinantes, em uma mesma região. Este estudo teve como objetivo analisar o comportamento e determinar o perfil epidemiológico da LCA em uma região da Amazônia Sul-ocidental utilizando técnicas de análises multivariadas. Métodos: Utilizou-se as informações do Sistema de Informação de Agravos de Notificação (Sinan), 2001 a 2010,para o estado do Acre e técnicas de análises de agrupamento hierárquico e de componentes principais. Resultados: Foram analisados um total de 10.984 casos de LCA e discriminados três grupos. O primeiro grupo se destacou por apresentar maior porcentagem de indivíduos do sexo feminino, com predominância da forma clínica mucosa, idade até 20 anos, que residiam e trabalhavam em áreas rurais e florestais; o segundo grupo foi discriminado por agrupar indivíduos do sexo masculino, com forma clínica cutânea, idade superior a 40 anos de idade, que residiam e trabalhavam em áreas urbanas; o terceiro grupo foi constituído por indivíduos do sexo masculino, forma clínica cutânea, idades entre 20 e 40 anos, que residiam e trabalhavam em áreas rurais. Conclusão: Há evidências que para cada tipo de transmissão de LCA florestal, urbano e rural, exista um perfil epidemiológico correspondente e as técnicas de análises multivariadas foram eficientes em destacar o comportamento da LCArelacionando-os ao perfil dos indivíduos acometidos.(AU)

Background and Objectives: The American Cutaneous Leishmaniasis (ACL) is a disease of complex chain of transmission subject to various determinants, in the same region. Theaim was to analyze the ACL behavior and identify the epidemiological profile in a Brazilian Southwestern Amazonia region, using multivariate analysis techniques. Methods: The hierarchic cluster and principal components analysis were performed using the Brazilian System for Disease Notification (Sinan), from 2001 until 2010, recorded in the state of Acre. Results: 10,984 cases were analysed and discriminated three groups of ACL. In the first group, the epidemiological profile presented a higher percentage, in relation to the other two groups, of women with predominance of ACL mucosa form, aging less than 20 years, living and working in rural and forest environment; In the second group, the epidemiological profile consisted of male patients, with ACL in the cutaneous form, age of 40 years or older, living and working in urban areas. In the third group, there was predominance of male patients, ACL cutaneous form, ages between 20 and 40 years, living and working in rural areas. Conclusion: There are evidences that for each type of transmission, namely forest, urban and rural, there is a corresponding epidemiological profile and techniques of multivariate analyzes were effective to evidence the ACL behaviour relating them to the profile of the affected individuals.(AU)

Justificación y objetivos: LeishmaniasisCutanea Americana (LCA)es una enfermedad de ciclo de contaminación compleja afectada por diversos factores, en una misma zona. Este estudio tuvo como objetivo el análisis del comportamiento y el perfil de salud en la zona de Amazonia Sul-occidental empleando técnicas de análisis multivariantes. Métodos: se ha empleado las informciones del Sistema de Informação de Agravos de Notificação (SINAN), 2001 a 2010, para la Provincia de Acre y técnicas de análisis por conglomerados y análisis de componente principal. Resultados: han sido analisados un total de 10.984 casos de LCA y diferenciados en tres grupos. El primer grupo se ha destacado por presentar un mas grande percentual de personas del sexo femenino, con predominancia de forma clinica mucosa, edad hacia los 20 años, que vivian y trabajavan en diversas zonas, rurales y florestales; el según grupo fue diferenciado por incorporar personas del sexo masculino, con forma clínica cutanea, edad arriba de 40 años, que vivian y trabajaban en zonas urbanas; el tercer grupo se ha constituído por personas del sexo masculino, forma clínica cutanea, edades entre los 20 y 40 años, que vivian y trabajaban en zonas rurales. Conclusión: hay evidencias que para cada tipo de contaminación de LCAflorestales, urbanas y rurales, existía un perfil epidemiológico compatible y las técnicas de análisis multivariantes han sido eficientes en distinguir la actuación de la LCA relacionándose al perfil de las personas infectadas.(AU)

Prevalence and risk factors associated to ovine toxoplasmosis in northeastern Brazil.

In this study, we aimed to determine the prevalence and risk factors associated to Toxoplasma gondii infection in sheep from northeastern Brazil. A total of 932 ovine serum samples from 54 properties in 19 municipalities of the state of Sergipe were collected and assayed using indirect fluorescent antibody test. The assay used antibodies against Toxoplasma gondii (IFAT-IgG) with a cutoff point of 1:64. We observed that 28.22% (263/932) of the ovine samples were serum-reactive. In a logistic regression, factors such as consumption of water directly from the source, consumption of water from a deep well, and age below 12 months were associated with protection; whereas factors such as presence of cats on the property, presence of slatted floor, and use of exchanged or borrowed breeding males were associated with infection. The studied area can be considered endemic for toxoplasmosis, so it is necessary to adopt preventive and control measures because this zoonotic infection poses risks to public health.

[Identification of schistosomiasis risk areas using spatial analysis in Lauro de Freitas, Bahia State, Brazil]. / Análises espaciais na identificação das áreas de risco para a esquistossomose mansônica no município de Lauro de Freitas, Bahia, Brasil.

The spread of schistosomiasis mansoni defies efforts by Brazil's Unified National Health System, thus demonstrating the need to reassess endemic control programs in the country. The aim of this study was to demarcate geographic areas at risk of schistosomiasis in Lauro de Freitas, Bahia State, Brazil, and to establish the epidemiological and socioeconomic profile of the disease in this municipality (county). Kernel density estimator exploratory analysis was used for visual identification of areas at risk. Kulldorff & Nagarwalla's spatial analysis was used to obtain statistically significant clusters and to measure risk. These technologies identified four risk areas for schistosomiasis. Clusters identified within the risk areas were characterized by lower socioeconomic conditions. Multiple correspondence analyses showed a distinct profile for positive patients in the primary cluster. The techniques employed here represent an important methodological acquisition for tracking and controlling schistosomiasis in Lauro de Freitas.

Caracterização de genótipos de soja-hortaliça por análise de componentes principais / Genotypes characterization of vegetable soybeans by using principal component analysis

O presente estudo teve como objetivo caracterizar genótipos de soja-hortaliça, por meio de características agronômicas, nutricionais e antinutricionais, utilizando-se a Análise de Componentes Principais. O experimento foi conduzido em condições de campo no Setor de Olericultura e Plantas Aromático-Medicinais na UNESP-FCAV. O delineamento experimental foi em blocos casualizados com cinco genótipos e quatro repetições. Avaliaram-se as variáveis: número de vagens por planta, número de sementes por vagem, massa fresca das vagens por planta (g), massa fresca de 100 sementes (g), produtividade total estimada de grãos imaturos (kg ha-1), teor de umidade, proteínas, lipídeos, cinzas, carboidratos, isoflavonas e inibidores de tripsina Kunitz. As variáveis que contribuíram na discriminação dos genótipos no primeiro componente principal foram: peso total de vagens por planta, teor de proteínas, número de vagens por planta, peso de 100 sementes e teor de umidade, enquanto que aquelas que contribuíram no segundo componente principal foram: teor de cinzas, proteínas, número de vagens por planta e teor de lipídeos. Os genótipos JLM010, JLM024 e CNPSO1, destacaram-se por serem influenciados pelo peso total de vagens por planta, produtividade estimada, número de vagens por planta, teor de carboidratos, isoflavonas e de proteínas, sendo considerados genótipos de soja-hortaliça com potencial para serem utilizados em programas de melhoramento genético vegetal.

This study presents the characterization of vegetable soybean genotypes. It was applied Principal Component Analysis considering the agronomics, nutritional and antinutritional features: number of pods per plant, number of seeds per pod, fresh weight of pods per plant (g), fresh weight of 100 seeds (g), estimated total yield of immature seeds (kg ha-1), moisture content, proteins, lipids, ash, carbohydrates, isoflavones and Kunitz trypsin inhibitor. The experiments were developed in the sector of Olericultura and Plantas Aromático-Medicinais from UNESP-FCAV. The results showed that fresh weight of pods per plant, proteins content, number of pods per plant, fresh weight of 100 seeds, and moisture content were the relevant variables for the discrimination of the genotypes in the first principal component and for the second principal the component were ash content, proteins, number of pods per plant and lipids content. Accordingly, the genotypes JLM010, JLM024 and CNPSO1 were defined as relevant by the variables fresh weight of pods per plant, estimated total yield of immature seeds, number of pods per plant, carbohydrates content, isoflavones and proteins. It was concluded that it is a relevant result because these genotypes were considered candidates to be used in plant breeding programs.