Economic analysis of planting flower strips along soybean fields
Luc Belzile
Researcher
418 643-2380
ext 630
Description
This project is being carried out by the grain research center CÉROM, and IRDA is in charge of conducting the economic analysis.
CÉROM’s initial two-year project is aimed at evaluating whether flower strips around soybean fields serve as a reservoir for aphid species attacked by Pandora neoaphidis.
Objective(s)
- Survey aphid species and their seasonality on host plants in established flower strips
- Evaluate how susceptible these aphids species are to Pandora neoaphidis
- Determine the effect of flower strips on the dynamics of aphid disease epidemics on soybean
- Evaluate the cost-effectiveness of using flower strips on farms
From 2017 to 2019
Project duration
Field crops
Activity areas
Pest, weed, and disease control
Service
IRDA's economic analyses help growers evaluate the cost-effectiveness of alternative pest control methods, among other things.
Partners
Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec | Centre de recherche sur les grains
This may interest you
Impact of manure management and tillage practices on water quality and safety in canola and wheat
Canola and wheat (wheat-corn-canola rotation) were planted in 2016 and 2017, respectively, on 12 experimental plots with tillage practices on the main plots (minimum tillage and chisel plow) and fertilization methods (mineral fertilizers, 25 m3/ha of pig manure and 50 m3/ha of pig manure) in the subplots.
Researchers: Caroline Côté Marc-Olivier Gasser
Developing new techniques to control water table levels in sphagnum farming
The objective of this project was to develop effective techniques for controlling water table levels in sphagnum moss basins. Underground irrigation systems were installed at a number of experimental sites.
Researcher: Stéphane Godbout
Identifying biological indicators of soil health using metagenomic analysis of soil under different grain cropping systems
This project was aimed at identifying and incorporating biological indicators into decision support tools used to assist producers and agroenvironmental regulatory bodies seeking to preserve soil productivity and use sustainable production systems.
Researcher: Richard Hogue
