949 resultados para Milho - Pragas agrícolas - Controle


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Pós-graduação em Engenharia de Produção - FEB

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Pós-graduação em Agronomia - FEIS

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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Pós-graduação em Agronomia (Agricultura) - FCA

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The use of pesticides to manage pest problems in agriculture has become a common practice around the world. Pesticides consist in chemical substances or biological agents that act preventing, destroying, repelling or mitigating the damage caused by pests in agriculture. In order to a successful treatment, the correct dosage of pesticide has to be applied for each kind of culture. In this context, this project aims to quantify the levels of the active ingredients Imidacloprid and Chlorpyrifos present in formulated technical products and compare with the reported in the ir commercial leaflets. The analyzes were performed by Ultra Performance Liquid Chromatography coupled to a photodiode array detector (CLUE-DAD). The identification of Imidacloprid and Chlorpyrifos in the samples was realized by comparison of the time of retention and UV spectre of those substances with the commercials patterns, resulting in a excellent method specificity of the method. In the scope of determination of active ingredients in formulated products, the method developed showed good sensitivity in the applied conditions, with suitables limits of detection (4,2.10-² mg L-¹ for Imidacloprid and 1,1.10-¹ mg L-¹ to Chlorpyrifos) and quantitation (1,4.10-¹ mg L-¹ and Imidacloprid 3,6.10-¹ mg L-¹ to Chlorpyrifos) for the concentrations found in matrices analyzed. Furthermore, good results were obtained to the method accuracy with coeficiente of variance values in the range of 0,6 to 0,7% for repeatability (intra-day) and 0,4 to 0,58% for intermediate precision (inter- day). The accuracy of the method was determined by recovery tests, the values were comprised in the range of 98 102%. According to the recommendations of the Associação Brasileira de Normas Técnicas, these values show good accuracy of the method. The concentrations obtained in the quantification of the active ingredients in formulated products showed values within permited by ABNT, 60.1% (w/v) ± 0.6%...

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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The objective of this study was to dimension the economic risks and returns on adopters of genetically modified (GM) maize in one of the major corn producing regions of São Paulo state. We performed analysis of variation of the quantities and prices of insecticides used, productivity gains, and variation in the price differentials between GM maize and conventional hybrids seeds, according to account to the maize prices oscillation during the period studied. The net benefits methodology was used, in other words, the economic gains minus the costs of GM technology under risk conditions were calculated. The net benefits was calculated as a function of four critical variables: 1) GM maize productivity; 2) costs of pest control; 3) maize price; 4) GM seeds cost. The probability distribution functions of these critical variables were estimated and included in the net benefit equation. Using the Monte Carlo simulation methodology, the following indicator sets were estimated: central tendency measurements, variability in net benefits (total benefits minus total costs), sensitivity analysis of the net benefits in relation to the critical variables, and finally, a map of the risk to GM technology adopters. These indicators allow one to design economic scenarios associated with their probability of occurring. The results showed probability of 85% to positive gains to the farmers who adopted the transgenic maize seed cultivation. The variable with the greatest impact on the farmers' income was the reduction in productivity loss, that means, as higher is the maize productivity, higher will be the net income. The average gain was US$ 137,41 (R$ 2.45/US$)per hectare with the adoption of transgenic maize seed when compared to conventional maize seed.

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The permanence of the corn grain in the field, after physiological maturity, is an important cause of crop losses, both in quantitative and qualitative aspect. By ceasing the supply of assimilated substances to grains, due to physiological maturity, the synthesis reactions are overcome by breathing, responsible for the maintenance of the living tissues of the grains, which occur at the expense of reserves accumulated during grain formation. In addition, there are losses from fungus and insects attack due to adverse weather conditions. Technological advances in recent decades, the develop of grain dryers with different capacities and efficiencies, has led to the early withdrawal of the product from the field, still damp, reducing spoilage. Moreover, the use of artificial drying systems can represent a significant cost to the producer. Thus, the present work aimed to study the effect of natural and artificial methods of drying on maize dry matter losses, for Botucatu, city of Sao Paulo state, Brazil. The cornfield production was conducted at the Experimental Farm “Lageado” and the experimental treatments were conducted in the Laboratory of Agricultural Products Processing, in the Department of Rural Engineering, where the drying systems were tested. The treatments were: shade (control), artificial with heated air, artificial unheated air and, drying attached to the plant. The following analyzes for quality monitoring were performed: weight test, thousand-grain weight test and, grain dry weight. The results showed significant loss in quality of drying beans attached to the plant, by assessing the dry matter loss and by the variation of the grain weight. The weight test showed that the worst performance was the artificial with heated air treatment. We used mathematical modeling techniques to describe the dry matter loss and adjusted the mathematical model to the experimental data analyzed. From the experimental data obtained during drying the grain attached to the plant, it was still possible to fit a regression model that estimates the loss of grain dry matter under the climate from Botucatu during the 2011/2012 harvest period.

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This study aimed to account the energy balance of six different farming systems: CMT (minimum tillage with transgenic corn); CMNT (minimum tillage with non-transgenic corn); PCT (conventional tillage with transgenic corn); PCNT (conventional tillage with non-transgenic corn); PDT (no-tillage system with transgenic corn) and PDNT (no-tillage system with non-transgenic corn). The study was carried out at the Experimental Farm Lageado FCA/Unesp, Botucatu - SP. The energy balance was performed by subtracting the total energy inputs by the total energy output. Energy efficiency was calculated by dividing the total energy output by the total energy inputs. The total values ​​of energy inputs and outputs were expressed in MJ.ha-1 (mega joules per hectare). To calculate the energy inputs were accounted the fuel consumption and lubricants, depreciation energy of machinery and implements, manpower and agricultural inputs. The energy outputs were calculated according to the maize yield. The result shows that the system PDT was the system that had better energy efficiency and the system that had the lowest efficiency was the PCT system. The system with lower energy demand was the PDT and the greatest demand was PCNT.