RESUMO A cultura da videira é de extrema importância para o Brasil e para o estado do Paraná. O estudo de perfil é relevante, pois, permite conhecer a realidade produtiva da região, e a partir dessa análise possibilita a realização de ações adequadas a cada local. O objetivo neste trabalho foi descrever o perfil vitivinícola da região de Laranjeiras do Sul/PR. O perfil vitivinícola foiobtido por meio de questionários semi-estruturados, compostos por 25 questões, que foram aplicados a 17 produtores de um total de 20 indicados. Observa-se que há predominância de homens trabalhando no manejo da cultura, correspondendo a 94,11%. Entre as principais cultivares estão as da espécie Vitis labrusca L., principalmente as "Niágaras" (40%), Bordô (26,6%), Isabel (23,4%) e Concord (6,6%). Para sistema de condução verifica-se que 76,47% das videiras foram conduzidas em sistema latada, 17,64% no sistema manjedoura e 5,88% em espaldeira. Os insetos fitófagos, registrados com frequência foram: vespas, abelhas e cochonilhas e, entre as doenças antracnose, o míldio e as podridões.Na região a atividade vitivinícola, possui representatividade econômica em poucas unidades de produção, porém, sua presença vai além do retorno econômico. Além disso, a vitivinicultura constitui-se em uma forma de agregação de valor e diversificação para os agricultores familiares da região. Ressalta-se a necessidade de profissionais com conhecimento na área, bem como das instituições públicas de assistência técnica e extensão rural, para que estes, possam contribuir para que o potencial da cultura seja atingido, através do manejo adequado.

The objective of this study was to adjust mathematical equations that accurately and non-destructively estimate the growth of pods and seeds of pigeon pea cultivar Fava Larga from the average length and width. For this, the maximum width (W), maximum length (L), and observed mass (OM) of pods and seeds were measured. Linear models of the first degree, quadratic, power, and exponential were adjusted based on the value of 400 pods and 1938 seeds, in which the OM was used as a dependent variable as a function of L and W as independent variables. For the validation of the models, the root means square of the error was calculated from all equations. Thus, in the estimation of the growth in mg of the pods and seeds of the 'Fava Larga' pigeon pea, the quadratic model equations represented by  and , respectively, obtained using the width.

The objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=-10.255+1.020(W)+1.293(W)2.