Mapeamento da distrubuição espacial de plantas daninhas no plantio direto e convencional da aveia preta (Avena strigosa Schreb.)

Abstract

The use of technologies aimed at precision agriculture aims to increase productivity, identify pests and diseases, help in locating weeds, among others. Mapping the spatial distribution of weeds, assist in decision making to reduce costs and improve productivity. In order to verify the distribution of weeds in the cultivation of black oat (Avena strigosa Schreb.) in areas of no­tillage and conventional planting, it was decided to carry out a grid mapping of two areas located at the Universidade Tecnológica Federal do Paraná (UTFPR). Each of the areas (no­tillage and conventional) was divided into plots and paddocks where the number of weeds were counted and mapped and the species identified. Subsequently, the boundary of each area was surveyed with a topographic GNSS (Global Navigation Satellite System) receiver. Three counts of the variables presented were performed, one on the day of planting, 15 days after emergence (DAE) of the crop and 15 days after herbicide application. A total of 1462 weeds were identified and quantified, found in each picket of the plots of no­tillage and conventional planting, being 5 species of weeds in 5 genera and 5 families. With the data in hand, the mapping of each of the areas was carried out and the maps were presented by time of observation of the spatial distribution of the weeds, where it was observed that the predominant species in the no­tillage and conventional cultivation area were respectively Guanxuma (Sida cordifolia ) and Dairy (Euphorbia heterophylla).