Escala diagramática e influência de sistemas de produção na ocorrência do crestamento gomoso da melancia

CHAPTER 1 - The gummy stem blight, caused by the fungus D. bryoniae, is a disease commonly found in watermelon cultivated in several countries. In Brazil, there are numerous studies related to the disease, but there are not uniform methods for quantifying of disease severity in the field. Thus, we developed a diagrammatic scale based on scanned photos of watermelon leaves infected with D. bryoniae. The scale developed showed levels of 0; 10; 20; 45; 65 and 90% of severity. The scale validation was divided into two parts: initially, 10 evaluators (half with experienced and other half without experience) estimated the disease severity based on the initial observation of 100 photos of watermelon leaves with symptoms of the disease at different severity levels. Before, the same evaluators estimated the disease severity with the support of the scale prepared from the Quant program. Data were analyzed using linear regression and were obtained angular, linear, and correlation coefficients. Based on these data, we determined the accuracy and precision of the evaluations. The correlation coefficients (R2) ranged from 0.88 - 0.97 for the experienced evaluators and from 0.55 - 0.95 for the inexperienced evaluators. The average angular coefficient (A) for inexperienced evaluators was 20.42 and 8.61 with and without the support of diagrammatic scale, respectively. Experienced evaluators showed values of average linear coefficient of 5.30 and 1.68 with and without the support of diagrammatic scale, respectively. The absolute errors analysis indicated that the use of diagrammatic scale contributed to minimize the flaws in the severity levels estimation. The diagrammatic scale proposed shown adequate for gummy stem blight severity evaluation in watermelon. CHAPTER 2 - The gummy stem blight (Didymella bryoniae) is a disease that affects the productivity of watermelon leading to losses over 40%. This study aimed to evaluate the efficiency of different production systems in control of gummy stem blight in watermelon for to establish efficient methods to combat the disease. There were applied the following treatments: conventional tillage (T1), integrated management (T2) and organic management (T3). In T1 and T2 were applied mineral fertilization and T3 was used bovine manure. There was application of fungicides and insecticides in commercial dose in T1 and T2, being after soil chemical analysis in T2. Disease severity was assessed by grading scale. The experimental design was randomized blocks. The severity of gummy stem blight has increased substantially during the fruit formation. Watermelon plants grown with integrated management (T2) showed lower levels of disease severity, while plants in organic management (T3) exhibited higher levels of severity. We conclude that management based on judicious accompaniments in field represents best way to achieve the phytosanitary aspect adequate for cultivation of watermelon in Tocantins.

Determinação de teor de biodieseis de algodão e pinhão manso em misturas com diesel usando espectroscopia no infravermelho médio e quadrados mínimos parciais

Biodiesel is a renewable fuel derived from vegetable oils or animal fats, which can be a total or partial substitute for diesel. Since 2005, this fuel was introduced in the Brazilian energy matrix through Law 11.097 that determines the percentage of biodiesel added to diesel oil as well as monitoring the insertion of this fuel in market. The National Agency of Petroleum, Natural Gas and Biofuels (ANP) establish the obligation of adding 7% (v/v) of biodiesel to diesel commercialized in the country, making crucial the analytical control of this content. Therefore, in this study were developed and validated methodologies based on the use of Mid Infrared Spectroscopy (MIR) and Multivariate Calibration by Partial Least Squares (PLS) to quantify the methyl and ethyl biodiesels content of cotton and jatropha in binary blends with diesel at concentration range from 1.00 to 30.00% (v/v), since this is the range specified in standard ABNT NBR 15568. The biodiesels were produced from two routes, using ethanol or methanol, and evaluated according to the parameters: oxidative stability, water content, kinematic viscosity and density, presenting results according to ANP Resolution No. 45/2014. The built PLS models were validated on the basis of ASTM E1655-05 for Infrared Spectroscopy and Multivariate Calibration and ABNT NBR 15568, with satisfactory results due to RMSEP (Root Mean Square Error of Prediction) values below 0.08% (<0.1%), correlation coefficients (R) above 0.9997 and the absence of systematic error (bias). Therefore, the methodologies developed can be a promising alternative in the quality control of this fuel.

Estrutura produtiva da agropecuária, ocupação e pobreza no estado de Minas Gerais no ano de 2010

This thesis aimed to contribute to the discussion about the relationship between agricultural production structure, occupation and poverty in Brazil, specifically in the state of Minas Gerais, in 2010. The issue of employment is becoming increasingly challenging in the face of ongoing modernization process in agriculture, capital intensive and labor saver looking levels ever higher production and productivity. The productive inclusion can be an effective way to exit from poverty (the work is often the only asset of the poor). In this sense, we sought to investigate what activities or groups of activities occupied a larger number of people and generated higher yields and can potentially have contributed to a lower incidence of poverty. The basis for primary data was the 2010 Population Census (microdata). To achieve the objectives we used descriptive analysis, Pearson correlation coefficients and quantile regressions. Among the main findings highlight that agriculture occupied more and generated higher overall income than ranching presented more precarious, despite having lower average incomes and income percentile values, greater heterogeneity and instability, as well as higher proportions of poor. Overall, commodities showed greater formalization and lower poor proportions. In the case of agriculture, commodities activities occupied less, generated lower mass income and middle-income (although income percentiles slightly larger and more informality) and had lower poverty indicators than non-commodity (more heterogeneous rents). In livestock, commodities had higher percentages of occupation, income (although middle-income values and percentiles slightly smaller), and smaller proportions of poor than non-commodity (more heterogenous). In terms of occupation and income stood out the farming activities unspecified (non-commodity), the coffee growing and cattle (commodities). The cultivation of coffee and cattle had the lowest poverty indicators. agricultural production diversification indicators showed positive correlations with the occupation in activities not commodities (only), but also with the proportion of poor, indigent and concentration of income. In addition, the occupation in not commodities showed positive correlations with poverty indicators. It is noteworthy that the occupations in soybeans, coffee and fruit showed negative correlation coefficients with the indicators of poverty, indigence and gini. Finally, among the agricultural activities, there was to go to occupied in agricultural activities not commodities for commodity would be 'more equalizer' (decreasing coefficients over the distribution of income) than for cattle. The occupation in livestock (mostly non-commodity) would generate greater impact on the lower income deciles, but their coefficients grow back in the last deciles, which shows its most perverse character. Among the activities that would affect more strongly the lower deciles and less the higher deciles stand out pig farming, poultry, citrus cultivation, coffee and sugar cane. The cattle and the cultivation of soy, had the highest rates, but they grow back in the last deciles, which shows a more wicked character.