Produtividade e qualidade de grãos de híbridos de canola cultivados em diferentes épocas no sudoeste do Paraná

Canola is the third most important oilseed in global agribusiness. Used in several market segments, its cultivation in Brazil began in the 70s The growth of canola cultivation aimed at producing beans intended for oil extraction can provide high economic efficiency of farms, the choice of the time correct for sowing is essential for this purpose is achieved. Objective of this study was to evaluate the performance of canola hybrids (Hyola 61, Hyola 76, Hyola 411, 433 and Hyola Hyola 571) evaluated in six sowing dates started on 09/03 (1 time) 06/04 (2 times ), 04/05 (3 times), 01/06 (4 times), 29/06 (5 times) and 26/07 (6 times). The experiments were conducted at the Experimental Station of the Federal Technological University of Paraná - UTFPR, Campus Dois Vizinhos. The field experiment was arranged in a randomized block design with split plots in three replications in two years (2013 and 2014 crop). Evaluated the agronomic characteristics as the number of days between emergence and flowering, number of days duration of flowering, number of days between emergency and physiological maturity, average plant height, plant lodging, grain yield, weight a thousand grains, crude protein content in grain and ether extract in the grains. There were significant differences between the effects of the six sowing dates in all variables, including hybrids and years. The study was able to show that it is possible to grow canola in the Southwest of Paraná. Being the first times more responsive sowing and Hyola 411 and Hyola 433 hybrid proved the most suitable among the variables observed.

Efeitos diretos e indiretos de parâmetros dos semivariogramas referentes aos atributos químicos do solo sobre a produtividade de grãos de soja

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.