INDUÇÃO DE RESISTÊNCIA A DOENÇAS NA CULTURA DO MILHO ATRAVÉS DA APLICAÇÃO DE BIOFERTLIZANTES

Abstract

In view of the increased incidence of diseases in corn in recent years, one of the tools used in phytosanitary management is the induction of resistance. The use of biofertilizers has been a viable organic fertilizer solution that is gaining more space every day by not only organic farmers, but also conventional farmers.The objective of this work is to evaluate phytosanitary and economical efficiency in the induction of resistance to corn diseases through the application of biofertilizers in different doses associated to the conventional management in maize (Zea mays). The experiment was conducted in the 2017/2018 crop in the municipality of Urutaí - GO in the experimental area of the Pivot of the Goiano Federal Institute Campus Urutaí. The experimental design was a randomized block design (DBC), containing 6 treatments, one control and three replicates, distributed according to a draw to be made for the sketch. Sprays were sprayed with the biofertilizer manually using a Knapik - pr20 hand sprayer with 20 liters tank, flow rate of 120 liters / ha and pressure of 30 pounds and foliar applications divided into 1 to 5 applications of 10 liters / ha each application. The evaluations were made after 60 days after planting (DAP), with weekly evaluations divided into 3 evaluations, being evaluated as follows: five measures will be taken represented by the number of symptomatic plants (symptom of diseases) divided by the total number of evaluated plants (10 plants). According to the results obtained, there was no statistical difference, some of the data obtained presented different values in relation to the applied management when we looked for the number of applications to be adopted, where, where 3 applications were made, the productivity result had the best result and the severity along the applied management was the treatment 4 with a lower rate of infestation throughout the experiment. According to the results, the management with 3 applications leads to higher productivity and the 4 applications with higher resistance to diseases as can be observed in Table 3 and Figure 2.