122 resultados para Crabs - Spatial distribution
Resumo:
The aim of this study was to evaluate changes in canola yield components and seed physiological quality in response to different sowing densities. The study was made in a greenhouse at the REIPESOL Company Technological Center, Madrid - Spain, with the commercial "Toccata" hybrid variety. The initial sowing density was 360,000 plants/ha and the plant population was later thinned down to include treatments of 250 and 180 thousand plants/ha. Harvested seeds were sent to the Seed Technology Center Laboratory (CATES) at the Madrid Polytechnic University (UPM) to evaluate changes in plant architecture and yield components, as well as the seed physiological quality of different plant parts. Results demonstrated that canola plants showed changes in morphology and yield components in response to different sowing densities. The population of 250,000 plants/ha showed the best seed yield demonstrating that maximum yield is directly related to a correct sowing density. The number of pods/plant was the most important component for increased seed yield/plant and seed yield/area. The spatial distribution of canola seeds in the plant and canola sowing density did not affect seed physiological quality.
Resumo:
Since the 1970's the loss of industrial output share of Sao Paulo Metropolitan Area relative to Brazil's industrial output has been explained by a process of "reversal polarization". This article aims to analyze the catching up effect of variables of productive efficiency, such as technological capacity and labor force skill. The main point is to analyze if the behavior of these variables favored or reduced desagglomeration of Sao Paulo city and the resulting agglomeration effect on Brazilian emerging metropolitan areas. Utilizing the Household Sample Survey (PNAD) of the Brazilian Geography and Statistics Institute (IBGE) we will test if there has been technological catching up between São Paulo (defined as the frontier) and second-tier metropolis of southern Brazil (Belo Horizonte, Curitiba and Porto Alegre). A set of panel data tests the importance of the variables referred to on spatial distribution of Brazilian industry.