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Grant: Collaborative Research and Development Grants

Université du Québec à Trois-Rivières

$17,392.00

Combining fungal species geographic distribution and ecological structure to implement accurate models of potential harvesting yield of wild edible mushroom species

FY 2018-19

Summary
Wild mushroom harvesting is a booming activity in Canada, mostly in Québec, Ontario and British-Columbia.*Considered by some as a recreational activity, the harvest of wild mushrooms has also raised a commercial*interest and now, numerous companies are engaged in picking, transformation and sale of those mushrooms.*However, the time invested to find good picking areas entails a high retail price compared with commercial*products. The high retail price can be explained essentially by two factors: 1) wild mushrooms are picked in*small quantities, they are available during a short period and therefore most people don't include them in their*regular diet, 2) the lack of confidence in the identification renders the consumers hesitant to pay a high price*for a potentially toxic product. The latter can be justified by the fact that Canada is host of several toxic and*some deadly species, if consumer would be entirely sure of the identification they would more readily consume*(and pay for) those products. However, both the MAPAQ (in Québec) and the Canadian Food Inspection*Agency (CFIA) lack the personnel, the ability and the tools to provide an accurate identification of the wild*mushrooms. The project crafted by Progigraph want to tackles these two issues: supply and security. Through*the development and use of molecular barcodes Progigraph will add to its current mushroom harvesting*predictive GIS database. Moreover, Progigraph will use new state-of-the-art long read Illumina sequencing to*assess environmental complex samples down to the species level. The generated Barcodes will be made public*through the International BarCode of Life Database (iBOLD) and will then be available for use by the MAPAQ*and CFIA and regulatory organisms.
Program
Collaborative Research and Development Grants
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
491322-2015
Name nom
Germain, Hugo
Department département
Chimie, biochimie et physique
Organization id
59
Institution établissement
Université du Québec à Trois-Rivières
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2015
Award amount
17392
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
201
Area of application group en
Natural resources (economic aspects)
Area of application group fr
Ressources naturelles (aspects économiques)
Area of application en
Forestry (silviculture, forest management)
Area of application fr
Foresterie (sylviculture, aménagement forestier)
Research subject code
4802
Research subject group en
Soil science
Research subject group fr
Science du sol
Research subject en
Biology and microbiology
Research subject fr
Biologie et microbiologie
Partie
3
Nb partie
3
Application title
Combining fungal species geographic distribution and ecological structure to implement accurate models of potential harvesting yield of wild edible mushroom species
Keyword
NSERC
Application summary
Wild mushroom harvesting is a booming activity in Canada, mostly in Québec, Ontario and British-Columbia.*Considered by some as a recreational activity, the harvest of wild mushrooms has also raised a commercial*interest and now, numerous companies are engaged in picking, transformation and sale of those mushrooms.*However, the time invested to find good picking areas entails a high retail price compared with commercial*products. The high retail price can be explained essentially by two factors: 1) wild mushrooms are picked in*small quantities, they are available during a short period and therefore most people don't include them in their*regular diet, 2) the lack of confidence in the identification renders the consumers hesitant to pay a high price*for a potentially toxic product. The latter can be justified by the fact that Canada is host of several toxic and*some deadly species, if consumer would be entirely sure of the identification they would more readily consume*(and pay for) those products. However, both the MAPAQ (in Québec) and the Canadian Food Inspection*Agency (CFIA) lack the personnel, the ability and the tools to provide an accurate identification of the wild*mushrooms. The project crafted by Progigraph want to tackles these two issues: supply and security. Through*the development and use of molecular barcodes Progigraph will add to its current mushroom harvesting*predictive GIS database. Moreover, Progigraph will use new state-of-the-art long read Illumina sequencing to*assess environmental complex samples down to the species level. The generated Barcodes will be made public*through the International BarCode of Life Database (iBOLD) and will then be available for use by the MAPAQ*and CFIA and regulatory organisms.