Grant: Alliance Grants
Dalhousie University
$99,440.00
Predicting the effects of climate change on the microbial and chemical control of agricultural pests such as obliquebanded leafroller in apple
FY 2023-24
Summary
Controlling agricultural pests is critical for the success and sustainability of Canada's agricultural sector. However, climate change threatens this goal. Climate change is predicted to alter the ability of pesticides to kill agricultural pests. For example, heat waves, whose frequency in Canada is increasing (Climate Atlas of Canada, https://climateatlas.ca), can affect the sensitivity of insect pests to chemical (e.g. Janssens et al., 2017) and microbial (e.g. Seehausen et al., 2017) control agents. We propose to demonstrate how heat waves will impact the effectiveness of chemical and microbial control agents of the Obliqebanded Leafroller (OBLR) (Choristoneura rosaceana), a pest of apple trees. To be able to predict the effect of heat waves on OBLR, and other pests, we need to understand how heat waves alter insect physiology. We will use molecular, biochemical, and physiological methods to quantify this effect. We will also test the effect of pesticides on OBLR directly and correlate these data with the physiological data. We will use this information to develop a predictive model for apple growers. It will allow farmers to adjust their pesticide use during and after a heat wave to provide maximum control with the minimum required pesticide. We will provide this information in an easy-to-use format for apple growers (e.g. iPhone app). Although the focus of this proposal will be on OBLR, this study will provide a framework for the development of similar models for other agricultural pests during extreme weather events (i.e. heat waves). We have assembled a team that has the necessary scientific and mathematical expertise. We have partnered with scientists from AAFC who will rigorously field test solutions that are developed in the lab to determine their applicability to real world situations. The AAFC members of the team also have connections to food producers and can translate lab and field research into useful solutions (i.e. changes in pest management practice).
Program
Alliance Grants
Recipient
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
555587-2020
Name nom
Adamo, Shelley S
Department département
Psychology and Neuroscience
Organization id
79
Institution établissement
Dalhousie University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2020
Award amount
99440
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
104
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Crop management (pest,disease control and breeding)
Area of application fr
Gestion des cultures (lutte contre les organismes nuisibles et reproduction)
Research subject code
4705
Research subject group en
Evolution and ecology
Research subject group fr
Ecotoxicology
Research subject en
Évolution et écologie
Research subject fr
Écotoxicologie
Application title
Predicting the effects of climate change on the microbial and chemical control of agricultural pests such as obliquebanded leafroller in apple
Keyword
agricultural pest; apple; climate change; heat wave; microbial control; pesticide; sustainability; temperature
Application summary
Controlling agricultural pests is critical for the success and sustainability of Canada's agricultural sector. However, climate change threatens this goal. Climate change is predicted to alter the ability of pesticides to kill agricultural pests. For example, heat waves, whose frequency in Canada is increasing (Climate Atlas of Canada, https://climateatlas.ca), can affect the sensitivity of insect pests to chemical (e.g. Janssens et al., 2017) and microbial (e.g. Seehausen et al., 2017) control agents. We propose to demonstrate how heat waves will impact the effectiveness of chemical and microbial control agents of the Obliqebanded Leafroller (OBLR) (Choristoneura rosaceana), a pest of apple trees. To be able to predict the effect of heat waves on OBLR, and other pests, we need to understand how heat waves alter insect physiology. We will use molecular, biochemical, and physiological methods to quantify this effect. We will also test the effect of pesticides on OBLR directly and correlate these data with the physiological data. We will use this information to develop a predictive model for apple growers. It will allow farmers to adjust their pesticide use during and after a heat wave to provide maximum control with the minimum required pesticide. We will provide this information in an easy-to-use format for apple growers (e.g. iPhone app). Although the focus of this proposal will be on OBLR, this study will provide a framework for the development of similar models for other agricultural pests during extreme weather events (i.e. heat waves). We have assembled a team that has the necessary scientific and mathematical expertise. We have partnered with scientists from AAFC who will rigorously field test solutions that are developed in the lab to determine their applicability to real world situations. The AAFC members of the team also have connections to food producers and can translate lab and field research into useful solutions (i.e. changes in pest management practice).