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

Combining fungal species geographic distribution and ecological structure to implement accurate models of potential harvesting yield of wild edible mushroom species
结合真菌物种地理分布和生态结构,建立野生食用菌潜在采收产量的精确模型
批准号:
491322-2015
负责人:
Germain, Hugo
金额:
$1.27万
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

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中文摘要
翻译
野生蘑菇收获在加拿大是一项蓬勃发展的活动,主要分布在魁北克、安大略省和不列颠哥伦比亚省。一些人认为野生蘑菇收获是一种娱乐活动,也引起了商业兴趣,现在,许多公司都在从事这些蘑菇的采摘、改造和销售。然而,与商业产品相比,投入时间寻找好采摘地区的零售价很高。野生蘑菇零售价高的主要原因有两个:1)野生蘑菇采摘数量少,供应时间短,因此大多数人不会把它们纳入常规饮食;2)对鉴定缺乏信心,导致消费者不愿为潜在的有毒产品支付高价。后者的理由是,加拿大拥有几种有毒和一些致命的物种,如果消费者完全确定身份,他们会更容易消费(和支付)这些产品。然而,魁北克的MAPAQ和加拿大食品检验局(CFIA)都缺乏人员、能力和工具来提供准确的野生蘑菇鉴定。这个由Prograph精心设计的项目想要解决这两个问题:供应和安全。通过分子条形码的开发和使用,Prograph将为其目前的蘑菇收获预测地理信息系统数据库增添内容。此外,Prograph将使用新的最先进的长时间阅读Illumina测序来评估环境复杂样本,一直到物种水平。生成的条形码将通过国际生命条形码数据库(IBOLD)公布,然后供MAPAQ和CFIA以及监管机构使用。
英文摘要
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 commercialinterest 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 commercialproducts. The high retail price can be explained essentially by two factors: 1) wild mushrooms are picked insmall quantities, they are available during a short period and therefore most people don't include them in theirregular diet, 2) the lack of confidence in the identification renders the consumers hesitant to pay a high pricefor a potentially toxic product. The latter can be justified by the fact that Canada is host of several toxic andsome 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 InspectionAgency (CFIA) lack the personnel, the ability and the tools to provide an accurate identification of the wildmushrooms. The project crafted by Progigraph want to tackles these two issues: supply and security. Throughthe development and use of molecular barcodes Progigraph will add to its current mushroom harvestingpredictive GIS database. Moreover, Progigraph will use new state-of-the-art long read Illumina sequencing toassess environmental complex samples down to the species level. The generated Barcodes will be made publicthrough the International BarCode of Life Database (iBOLD) and will then be available for use by the MAPAQand CFIA and regulatory organisms.
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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