Inter-relações da produtividade de cana-de-açúcar com atributos físico-químicos de um argissolo vermelho eutrófico do noroeste paulista

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelagem e mapas de capacidade suporte de carga de solos cultivados com cana-de-açúcar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Hastes instrumentadas com controle automatizado do escarificador atuando em profundidades variáveis

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Produtividade e compactação do solo em diferentes ciclos anuais da cultura de cana-de-açúcar

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Estimação da densidade de solos utilizando sistemas de inferência fuzzy

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Desenvolvimento e avaliação do desempenho de um equipamento para ensaio dinâmico de rodado agrícola individual

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Sustentabilidade estrutural de um solo na região do alto Paranapanema/SP, submetido a dois sistemas de cultivo

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Desenvolvimento e avaliação de equipamentos e metodologia para determinação de parâmetros físicos do solo relacionados a dias trabalháveis com máquinas agrícolas

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Desenvolvimento radicular das culturas de feijão, soja e milho, sob diferentes manejos de solo, irrigadas por pivô central

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Avaliação dos atributos físicos de um argissolo cultivado com cana-de-açúcar em área com adequação de relevo, utilizando equipamento de preparo profundo e canteirizado do solo

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Efeito do teor de água na avaliação da compactação do solo causada pelo tráfego agrícola e seu reflexo nos atributos físicos do solo

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Influência dos espaçamentos de plantio da cultura de cana-de-açúcar (Saccharum spp) nos atributos físico-hídricos do solo

The evolution of sugar cane mechanized harvesting made the sector to question the current row spacing used due to its influence on soil compaction. The aim of this study was to evaluate the soil hydro-physical attributes in two row spacings after the farm machinery traffic. The treatments were conducted in a randomized block design with twelve repetitions, being subjected to the variance analyze in double factorial arrangement. The bulk density, the gravimetric water content, and the soil cone index along the position of crop lines (LC) and 0,1m from the row (LP) at the range of depth of 0 to 0.2m and 0.2 to 0.4m were assessed in both row spacings after the fourth harvest season. The results showed that the row spacings of 1.4 and 1.5m did not affect the values of bulk density and gravimetric water content of the soil in all ranges of depth and sample positions studied. However, in the depth range of 0.2 to 0.4 m, the values of soil cone index (IC) in the row spacing of 1.5 m were higher than the values in row spacing of 1.4 m, at both sampling positions. Regardless of row spacing and sample position, the values of soil cone index in the depth range of 0.2 to 0.4m were higher than the depth range of 0 to 0.2m.

Tractor PT: A traction prediction software for agricultural tractor

Traction prediction modelling, a key factor in farm tractor design, has been driven by the need to find the answer to this question without having to build physical prototypes. A wide range of theories and their respective algorithms can be used in such predictions. The “Tractors and Tillage” research team at the Polytechnic University of Madrid, which engages, among others, in traction prediction for farm tractors, has developed a series of programs based on the cone index as the parameter representative of the terrain. With the software introduced in the present paper, written in Visual Basic, slip can be predicted in two- and four-wheel drive tractors using any one of four models. It includes databases for tractors, front tyres, rear tyres and working conditions (soil cone index and drawbar pull exerted). The results can be exported in spreadsheet format.

Short-term effects of four tillage practices on soil physical properties, soil water potential, and maize yield

The area cultivated using conservation tillage has recently increased in central Spain. However, soil compaction and water retention with conservation tillage still remains a genuine concern for landowners in this region be- cause of its potential effect on the crop growth and yield. The aim of this research is to determine the short- term influences of four tillage treatments on soil physical properties. In the experiment, bulk density, cone index, soil water potential, soil temperature and maize (Zea mays L.) productivity have been measured. A field experiment was established in spring of 2013 on a loamy soil. The experiment compared four tillage methods (zero tillage, ZT; reservoir tillage, RT; minimum tillage, MT; and conventional tillage, CT). Soil bulk density and soil cone index were measured during maize growing season and at harvesting time. Furthermore, the soil water potential was monitored by using a wireless sensors network with sensors at 20 and 40 cm depths. Also, soil temperatures were registered at depths of 5 and 12 cm. Results indicated that there were significant differ- ences between soil bulk density and cone index of ZT method and those of RT, MT, and CT, during the growing season; although, this difference was not significant at the time of harvesting in some soil layers. Overall, in most soil layers, tillage practice affected bulk density and cone index in the order: ZT N RT N MT N CT. Regardless oftheentireobservationperiod,results exhibited that soils under ZT and RT treatments usually resulted in higher water potential and lower soil temperature than the other two treatments at both soil depths. In addition, clear differences in maize grain yield were observed between ZT and CT treatments, with a grain yield (up to 15.4%) increase with the CT treatment. On the other hand, no significant differences among (RT, MT, and CT) on maizeyieldwerefound.Inconclusion,the impact of soil compaction increase and soil temperature decrease,pro- duced by ZT treatment is a potential reason for maize yield reduction in this tillage method. We found that RT could be certainly a viable option for farmers incentral Spain,particularly when switching to conservation tillage from conventional tillage. This technique showed a moderate and positive effect on soil physical properties and increased maize yields compared to ZT and MT, and provides an opportunity to stabilize maize yields compared to CT.

Expanding the cone location and magnitude index to include corneal thickness and posterior surface information for the detection of keratoconus

PURPOSE To extend the capabilities of the Cone Location and Magnitude Index algorithm to include a combination of topographic information from the anterior and posterior corneal surfaces and corneal thickness measurements to further improve our ability to correctly identify keratoconus using this new index: ConeLocationMagnitudeIndex_X. DESIGN Retrospective case-control study. METHODS Three independent data sets were analyzed: 1 development and 2 validation. The AnteriorCornealPower index was calculated to stratify the keratoconus data from mild to severe. The ConeLocationMagnitudeIndex algorithm was applied to all tomography data collected using a dual Scheimpflug-Placido-based tomographer. The ConeLocationMagnitudeIndex_X formula, resulting from analysis of the Development set, was used to determine the logistic regression model that best separates keratoconus from normal and was applied to all data sets to calculate PercentProbabilityKeratoconus_X. The sensitivity/specificity of PercentProbabilityKeratoconus_X was compared with the original PercentProbabilityKeratoconus, which only uses anterior axial data. RESULTS The AnteriorCornealPower severity distribution for the combined data sets are 136 mild, 12 moderate, and 7 severe. The logistic regression model generated for ConeLocationMagnitudeIndex_X produces complete separation for the Development set. Validation Set 1 has 1 false-negative and Validation Set 2 has 1 false-positive. The overall sensitivity/specificity results for the logistic model produced using the ConeLocationMagnitudeIndex_X algorithm are 99.4% and 99.6%, respectively. The overall sensitivity/specificity results for using the original ConeLocationMagnitudeIndex algorithm are 89.2% and 98.8%, respectively. CONCLUSIONS ConeLocationMagnitudeIndex_X provides a robust index that can detect the presence or absence of a keratoconic pattern in corneal tomography maps with improved sensitivity/specificity from the original anterior surface-only ConeLocationMagnitudeIndex algorithm.