RESISTANCE INDUCTION BY INOCULATION OF THE FUNGUS Cunninghamella elegans AND INFLUENCE OF NITROGEN FERTILIZATION ON RESISTANCE OF Phaseoulus lunatus To Colletotrichum truncatum
Plant defense; Integrated disease management; enzymes; Mineral nutrition.
The fava beans, or fava beans, originates in Guatemala in Central America, being cultivated mostly by small producers. It is the second legume of greatest socioeconomic importance due to its food properties considered beneficial to human health, being consumed in the form of ripe or green grains. However, diseases such as anthracnose (Colletotrichum spp.) can cause a considerable reduction in production, which causes both direct and indirect damages during the biological cycle of the crop. Most of the time, phytosanitary chemicals are used for its control. And the use of phytosanitary chemicals, provides adverse effects such as the development of resistant populations, outbreaks of secondary diseases, water and soil contamination, negative impact on biodiversity. Another problem is nutritional imbalance. Mineral nutrients can affect plant growth and production, as they are responsible for specific functions in metabolism. And an adequate and balanced nutritional fertilization of nutrients can increase the resistance of plants to diseases. The nutrient most required by plants is nitrogen, which must be associated with proteins and lipids. The objectives of this work are to evaluate the effect of resistance induction by inoculation of the fungus C. elegans, in comparison with applications of commercial chitosan and Ecolife® on the severity of anthracnose in fava beans. And to evaluate the influence of nitrogen fertilization on the resistance of P. lunatus to C. truncatum. Experiments were carried out with the application of the inducers via soil and via leaf. And two experiments, one to evaluate the effect of the dose and the other to evaluate the effect of the source of nitrogen fertilization on the severity of anthracnose in fava beans. Data will be submitted to analysis of variance (ANOVA), and when significant will be submitted to comparison of means by the Scott-Knott test at 5% error probability, with the statistical analysis program SISVAR.