2 resultados para Correlação de parâmetros
em Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT)
Resumo:
Brazil is the third largest producer and exporter of turkey meat, especially in Paraná state, with the largest production volume. In worldwide the animal welfare is a prerequisite for food quality of animal origin, especially in Europe. The Regulation of European Community No 1099/2009 provides requirements for poultry stunning that associate with animal welfare as a means to minimize the pain and suffering from the slaughter. Improper application of callousness should produce low-quality meat, and significant industry losses. This Research aimed to evaluate the impacts on the quality of meat from turkeys, applying electrical stunning parameters established in the Regulation No 1099/2009 of the Council of 24 September 2009. Was applied an outline with 8 tests set equidistantly to frequency, and set parameters for current and voltage, and a control test. Were conducted qualitative assessments of hematoms and bruises / fractures in carcasses, hematoms, blood splashed and bleeding in turkey breast, and quantitative pH, color (L *), water holding capacity and shear force in turkey breast. The individual assessments showed no significant difference (p>0,05). In multivariate cluster analysis was the formation of two distinct groups: group 1 - 50 Hz to 200 Hz (low frequency) and group 2 - 633 Hz to 1500 Hz (high frequency), which showed significant difference (p= 0,016). In principal component analysis multivariate, the group 1 tend to have a higher incidence of bruising, blood splashed, bleeding and water holding capacity in breast turkeys, and bruises / fractures and hematoms on carcasses. The Group 2 tends to have a lower incidence of these parameters, and higher pH values, shear force and color (L *). Positive correlation was obtained for the parameters pH and shear force (r= 0.7506, p=0.0198); bleeding and splashed blood (r= 0.8811, p= 0.0017), and negative correlation to color (L*) and splashed blood on breast (r= -0.7889; p= 0.0115); breast hematoms and shear force (r= -0.7844; p= 0.0123). It has been observed that at lower frequencies stunning tends to have higher incidence of defects in the carcasses and turkey breast. The use of high frequencies in stunning, create smaller quantity of trimming, and an increase in turkey breast volume produced, with a financial gain of approximately R$250,000.00 / year. Moreover, there is no need increase the workers to do the trimming tasks and, therefore, higher financial results for companies. Therefore, we recommend the use of high frequencies in the stunning of turkeys.
Resumo:
In order to add value to soybens crops, and hence the marketing, medium and large producers have been using precision agriculture techniques (PA), as the Remote Sensing, Geographic Information Systems (GIS) and positioning satellite, to assist the management of crops. Thus, given the economic relevance of that culture to the southwest of Paraná State and Brazil, scientific studies to increase their productivity and profitability are of main importance. The objective of this study was to evaluate the correlation between the chemical soil properties and soybean yield for each estimated parameter of semivariogram (range, nugget and level effect), and the deployment of these correlations in direct and indirect effects, aiming to improve the mapping process of spatial variability of soil chemical properties for use in PA. The hypothesis is that not all attributes of soil used to estimate the semivariogram parameters has a direct effect on productivity, and that even in groups of plants within a larger area it is possible to estimate the parameters of the semivariograms. The experiment was conducted in a commercial area of 19.7 ha, located in the city of Pato Branco - PR, central geographic coordinates 26º 11 '35 "South, 52 43' 05" West longitude, and average altitude of 780 m. The area is planted with soybeans for over 30 years, currently being adopted to cultivate Brasmax Target RR - Don Mario 5.9i, with row spacing of 0.50 m and 13 plants m-1, totaling 260,000 plants ha-1. For georeferencing of the area of study and sampling points was used a couple of topographic ProMarkTM3 receptors, making a relative positioning to obtain the georeferenced coordinates. To collect data (chemical analyzes of soil and crop yield) were sampled 10 blocks in the experimental area, each with an area of 20 m2 (20 meters long x 1 meter wide) containing two spaced adjacent rows of 0.5 m. Each block was divided into 20 portions of 1 m2, and from each were collected four subsamples at a distance of 0.5 m in relation to the lines of blocks, making up a sample depth for 0-10 cm a sample to 10-20 cm for each plot, totaling 200 samples for each depth. The soybean crop was performed on the blocks depending on maturity, and in each block was considered a bundle at each meter. In the data analysis, it was performed a diagnosis of multicollinearity, and subsequently a path analysis of the main variables according to the explanatory variables (range of chemical attributes: pH, K, P, Ca, etc.). The results obtained by the path analysis of the parameters of the semivariogram of soil chemical properties, indicated that only the Fe, Mg, Mn, organic matter (OM), P and Saturation by bases (SB) exerted direct and indirect effects on soybean productivity, although they have not presented spatial variability, indicating that the distribution of blocks in the area was unable to identify the spatial dependence of these elements, making it impossible to draw up maps of the chemical attributes for use in PA.