Improving Prediction Tools for Diseases and Mycotoxins Affecting Corn

Project Summary The goal of this project is to develop and validate disease and mycotoxin prediction tools to maximize the efficacy of management decisions and consequently reduce yield losses in corn. Objective 1. Establish the association between inoculum intensity, disease development and weather in small plot trials and commercial corn fields; Objective 2. Disseminate corn disease information and management techniques through various outputs, and; Objective 3. Compare pathogen population levels detected by different spore trap technologies. We will establish research trials in two locations near Princeton, KY, planting corn under different residue levels and different irrigation levels to assess the impact of disease development under varying residue levels to simulate different initial inoculum amounts. Two hybrids with different levels of foliar disease resistance will be planted. Each foliar disease will be assessed every 2 weeks from tasseling to maturity. Surface residue samples will be sampled and submitted to NAGC for quantification of pathogens present. A modified spore sampler and a Burkhard spore sampler will collect spore sample data weekly in each trial, and DNA of foliar pathogens quantified using Q-PCR at the NAGC. This research contributes to a body of work that will help develop prediction tools that can aid farmers in implementing management strategies more effectively, ultimately reducing input costs, improving yield, and ensuring grain quality.