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Securing Canada's future bio-based economy through genomics

2007· report· en· W7052542765 sur OpenAlexfundvenueaboutno aff

Notice bibliographique

RevueNPARC · 2007
Typereport
Langueen
DomaineEngineering
ThématiqueElectrostatic Discharge in Electronics
Établissements canadiensnon disponible
Organismes subventionnairesGenome British ColumbiaGenome PrairieStrongGenome Canada
Mots-clésBioproductsEconomic impact analysisMultidisciplinary approachScarcityResource (disambiguation)Renewable energy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The bioproducts sector offers a unique avenue for Canada to pursue concrete environmental targets, while building a future foundation of the Canadian economy. A multitude of drivers are pointing to continued and rapid growth of the bioproducts sector in Canada and around the world, including the growing gap between demand and supply of petroleum and the increasingly unsupportable burden of greenhouse gas emissions from the production and consumption of petroleum fuels products. Governments throughout the world are investing heavily in the development of their bioproducts sectors. If Canada is to capitalize on its huge landmass and store of renewable resources, its world leading bioproducts companies, and its strengths in genomics and related science and technology areas, it must build upon the many significant federal funding programs recently put in place, and tackle areas of central concern to the Canadian bioproducts sector with a comprehensive multidisciplinary approach that includes a strong genomic component. A key step towards this goal will be the adoption by Genome Canada of the Biofuels and Bioproducts Strategic Research Theme as a priority. There is an undeniably profound relationship between genomics and bioproducts. Genomics will allow us to understand and manipulate the underlying biological processes that are the engine of the bioeconomy. While the production of a vast range of bioproducts is currently possible, only a small fraction is economically viable given existing technology. Genomics holds the promise to revolutionize the bioproducts sector by its ability to directly impact three of the biggest challenges in advancing bioproducts value chains: Area of Impact #1 - Feedstock Optimization: Significant work is required to help ensure the right feedstock is available at the right place and at the right price to support a rapidly expanding Canadian bioproducts and biofuels sector. The challenges to Canada involve both the optimization of feedstocks for the diversity of Canadian climatic regions, and the optimization of feedstock traits for industrial applications. Canada has specific research strengths, genomics and otherwise, in all three primary classes of industrial feedstocks: lignocellulosic crops, oilseeds, and cereals and grasses. Area of Impact #2 “ Microorganisms for Sustainable Processing Technologies: To achieve sustainability, the conversion of biomass into fuels and products calls for the massive deployment of novel enzymes and new fermentation processes. Genomics will greatly accelerate the identification, development and optimization of enzymes and microorganisms for a myriad of uses in the bioproducts sector, including the production of biofuels, biochemicals, and biomaterials, as well as the extraction and production of high-value bioactive compounds. Area of Impact #3 “ Value Added-Bioproducts: A key to the realization of viable biorefineries is the development of processes whereby low or negative value biomass residue from one industrial process is transformed into higher value bioproducts. Closely related is the need to identify high-value compounds from biological sources, which can anchor and make viable the production of a much larger range of bioproducts. In addition, the intersection of bioproducts and genomics raises a number of exciting research opportunities and challenges concerning various ethical, economic, environmental, social and legal issues related to sustainability. Existing Canadian bioproducts initiatives have not adequately acknowledged the role and potential of genomics, and none have exploited the broader community of genomic researchers and existing infrastructure. The lack of a unified approach to the application of genomics to the opportunities of the bioproducts sector in Canada flies in the face of efforts elsewhere, and is limiting the effectiveness and depth of the potentially huge contributions that could be made. Aggressively pursuing this research theme would fill a distinct gap in existing efforts, while simultaneously strengthening the research and commercialization efforts already underway and capturing important future international market niches for Canadian industry. Capitalizing on substantial previous investments in infrastructure and expertise, the Canadian genomic research community is poised to make significant contributions to the bioproducts sector, with multiple beneficial environmental, social, and economic outcomes. To aggressively pursue this Strategic Research Theme, it is estimated that an investment from Genome Canada of approximately $75M will be required.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,954
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,222
Écart entre enseignants0,213 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2007
Routes d'admission3
Résumé présentoui

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