Current Research

2020 – 01a  Understanding and predicting pesticide use on golf courses using deep machine learning, Dr. Guillaume Gregoire, Universite Laval

This project aims to use data from the Quebec Pesticides Management Code in order to identify key practices resulting in pesticide use reduction on golf courses and to predict pesticide use evolution under different climate change scenarios. To do so, we will develop a deep machine learning algorithm to analyse the data on golf course pesticide use collected by the Quebec Ministry of environment since 2006 in order to asses pesticide use evolution and its associated risks over the years. A subset of golf courses with different pesticide use profiles will be randomly selected for a further analysis including interviews with superintendents in order to refine the model. Finally, the model will be used in combination with open-source weather data to predict pesticide use evolution on golf courses for the future.

Report July 2022

Report March 2022

Report July 2021

2017 – 02a Foliar Applications of N and K for improving Cold Tolerance of annual bluegrass (Poa annua L.)

Currently there is conflicting information on the effects of Nitrogen (N) focused fall fertility programs for improving cold tolerance during the acclimation and spring recovery (deacclimation) time-frames. In general, the literature shows a trend of positive effect for improving frost hardiness during the acclimation period with N applications (Taulavuori, et al., 2004). For example, early research by Carroll (1943) found fall application rates of N directly correlated with cold tolerance, and Carroll and Welton (1939) found high crown hydration levels were associated with increased risked to winter injury.

A granular-focused N and K trial at the PTRC found that applying 4.88gNm-2yr-1 at biweekly rates of 1.22gNm-2 in combination with 4.88 – 9.76 gKm-2yr-1 at biweekly rates of 1.22-2.44 gKm-2, resulted in optimum cold tolerance levels and good spring recovery on an annual bluegrass putting green. While the results were useful in determining the negative effects of too much or too little N and K applied during the fall acclimation process, the rates were too coarse to fine-tune a foliar-based fertility program. The proposed study aims to fine-tune these rates for superintendents that are using foliar-based fertility programs.

Report October 2020

Report March 2020

Report January 2018

Report September 2017