Grant: Collaborative Research and Development Grants
Dalhousie University
$103,744.00
Wild blueberry physiological and molecular responses to floral diseases and improved detection and mitigation technologies
EF 2019-20
Résumé
The wild blueberry industry is an economically important and significant sector with approximately 51,800 ha in production, producing 98.7 million kg in the Atlantic provinces and Quebec with farm gate and processed values of approximately $176.6 million and $369 million respectively. The proposed research will examine the impact of fungal diseases Monilinia and Botryis blight on the structure, function, growth, and development of wild blueberries. Wild blueberries are managed using naturally occurring populations of sweet lowbush (Vaccinium angustifolium) and sour-top (Vaccinium myrtilloides) blueberries containing different shoot growth and development characteristics and also varying levels of resistance to these diseases. Given this, efforts will be made in the proposed research to map the population structure of wild blueberry fields through the use of unmanned aerial vehicles, determine the relatively susceptibility of blueberry phenotypes to the fungal diseases, identify the resistance mechanisms being used in deterring the diseases and determine the impact of the diseases on blueberry growth and development. This will be complimented with studies examining the delivery, deposition, mobility and persistence of conventional disease control products, and also developing reduced risk disease management practices that will reduce fungicide usage and improve fruit quality. Findings will be culminated into improved predictive disease models, diagnostic and disease control technologies and production system sustainability. It is anticipated that the proposed project will reduce agrochemical usage by 30% and reduce the cost of production by 20%. The proposed project addresses key research priorities established by producer associations and the industry sponsor, will enhance the research capacity of Dalhousie University, and provide an essential vehicle for the training of highly qualified personnel. Dissemination of research results will occur to all producers and stakeholders in the sector through platforms including field days, twilight meetings, web based mechanisms including the Wild Blueberry Information Network, scientific symposia and meetings, and scientific and technical articles.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
507170-2016
Name nom
Percival, David
Department département
Plant, Food, and Environmental Sciences
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
2019
Competition year année de concours
2016
Award amount
103744
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
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
1209
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Agriculture
Area of application fr
Agriculture
Research subject code
4903
Research subject group en
Plant and treebiology
Research subject group fr
Biologie végétale et des arbres
Research subject en
Plant growth and development
Research subject fr
Croissance et développement des végétaux
Installment
inst:3 - 3
Partie
3
Nb partie
3
Application title
Wild blueberry physiological and molecular responses to floral diseases and improved detection and mitigation technologies
Keyword
NSERC
Application summary
The wild blueberry industry is an economically important and significant sector with approximately 51,800 ha in production, producing 98.7 million kg in the Atlantic provinces and Quebec with farm gate and processed values of approximately $176.6 million and $369 million respectively. The proposed research will examine the impact of fungal diseases Monilinia and Botryis blight on the structure, function, growth, and development of wild blueberries. Wild blueberries are managed using naturally occurring populations of sweet lowbush (Vaccinium angustifolium) and sour-top (Vaccinium myrtilloides) blueberries containing different shoot growth and development characteristics and also varying levels of resistance to these diseases. Given this, efforts will be made in the proposed research to map the population structure of wild blueberry fields through the use of unmanned aerial vehicles, determine the relatively susceptibility of blueberry phenotypes to the fungal diseases, identify the resistance mechanisms being used in deterring the diseases and determine the impact of the diseases on blueberry growth and development. This will be complimented with studies examining the delivery, deposition, mobility and persistence of conventional disease control products, and also developing reduced risk disease management practices that will reduce fungicide usage and improve fruit quality. Findings will be culminated into improved predictive disease models, diagnostic and disease control technologies and production system sustainability. It is anticipated that the proposed project will reduce agrochemical usage by 30% and reduce the cost of production by 20%. The proposed project addresses key research priorities established by producer associations and the industry sponsor, will enhance the research capacity of Dalhousie University, and provide an essential vehicle for the training of highly qualified personnel. Dissemination of research results will occur to all producers and stakeholders in the sector through platforms including field days, twilight meetings, web based mechanisms including the Wild Blueberry Information Network, scientific symposia and meetings, and scientific and technical articles.