2 resultados para correlação de Pearson
em Universidade Federal de Uberlândia
Resumo:
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.
Resumo:
The consumption of a product is directly linked to its quality, and are required to comply with quality standard regulations. In chicken "griller" which comes from industrial strains, selected for best growth performance, shot with up to 35 days old and weighing 1,400kg, they have not been reported in the literature a number of quality aspects This study aimed determine the muscle transformation time in the flesh in chickens "griller" incidence of meat defects, "PSE" (pale, soft and exdudative) and "DFD" (dark, firm and dry) and their correlation between different window times slaughter (total time between beginning of the fasting and the time of slaughter) and pH curve, four different times post mortem. The base data for the study was composed of information of 208 chickens, collected between August and September 2014, in a slaughterhouse slaughtering chickens in the middle region of Triangulo Mineiro and Alto Paranaíba. We used the Minitab 17.1.0 program for the development of descriptive statistical analysis and Pareto charts. The Pearson correlation was used to evaluate the linear relationship between two variables and Excel 2013, Microsoft Office®, to produce tables and graphs. The analysis consisted of 11 chickens cities and the distance to the poultry slaughterhouse ranged from 24.5 km to 123 km. It was observed that the pH curve decays gradually until time 5horas after slaughter, and its increase was 24, indicating the transformation of the muscle meat. The incidence of regular meat was 39.9%, "DFD" 30.3% and "PSE" 29.8%. For "DFD" meat, it was observed that factors: low ambient temperature, longer transportation and fast window and mileage at dirt road, contributed to its occurrence (p <0.05). For "PSE" meat, it was observed that lower body weight factors, longer transport favored frequency (p <0.05) of the meat defect. There was no significant correlation in variance analysis between distance, waiting time at rest shed and humidity related to meat defects (p> 0.05). This high incidence of defects meat may be due to pre-slaughter stress factors.