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Grant: Alliance Grants

University of Alberta

$1,226,245.00

Reducing greenhouse gas emissions from the Canadian beef industry through the development and adoption of genomic tools

EF 2024-25

Résumé
The overall objective of this project is to reduce greenhouse gas (GHG) emissions from the cow herd, which is the greatest contributor to GHG produced by the Canadian beef industry. In the first pathway to meeting this objective, the project will evaluate fecal near infrared spectroscopy (NIRs) as a proxy for measuring methane production from individual cattle. A successful proxy will allow for the large-scale measurement of methane emissions in commercial cattle, to develop a genomic index to select for cattle that produce less methane. Feed intake and direct methane emissions will be measured on 2,325 cattle (cows, heifers, steers, bulls) over the project, which will also contribute towards the development of molecular breeding values for genomic methane traits. In the second pathway to meeting this objective, the project will focus on increasing the adoption of genomic tools on commercial farms. Currently, less than 20% of commercial beef producers are using genetic selection, so even if a genomic tool to select low methane emitting cattle was created, industry impact would be low. This project will develop a carbon offset protocol specific to technologies in the cow herd that reduce GHG emissions, with a focus on genetic selection, aiming to incentivize sustainable practice adoption. The project will also engage an industry advisory committee to develop beneficial management practices (BMPs) for genetic selection on commercial farms. These BMPs will be piloted on 50 commercial farms for economic performance, with integration of measurements needed to evaluate the carbon protocol and the quantification prototype. Participating producers will also be interviewed to better understand barriers to adoption of genetic selection and different incentivization strategies. This project spans the entire innovation pipeline, from discovery to adoption, to reduce GHG emissions from the beef cattle while supporting a resilient and profitable industry.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
588573-2023
Name nom
Basarab, John JA
Department département
Agricultural, Food and Nutritional Science
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
1226245
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
100
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Agriculture and primary food production
Area of application fr
Agriculture et produits alimentaires primaires
Research subject code
5510
Research subject group en
Animal biology
Research subject group fr
Biologie animale
Research subject en
Animal production and breeding
Research subject fr
Production et reproduction animales
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Reducing greenhouse gas emissions from the Canadian beef industry through the development and adoption of genomic tools
Keywords
barriers to adoption; beneficial management practices; carbon offset; fecal nir; genetic selection; greenhouse gas reduction; methane; molecular breeding values; producer incentives; sustainability
Application summary
The overall objective of this project is to reduce greenhouse gas (GHG) emissions from the cow herd, which is the greatest contributor to GHG produced by the Canadian beef industry. In the first pathway to meeting this objective, the project will evaluate fecal near infrared spectroscopy (NIRs) as a proxy for measuring methane production from individual cattle. A successful proxy will allow for the large-scale measurement of methane emissions in commercial cattle, to develop a genomic index to select for cattle that produce less methane. Feed intake and direct methane emissions will be measured on 2,325 cattle (cows, heifers, steers, bulls) over the project, which will also contribute towards the development of molecular breeding values for genomic methane traits. In the second pathway to meeting this objective, the project will focus on increasing the adoption of genomic tools on commercial farms. Currently, less than 20% of commercial beef producers are using genetic selection, so even if a genomic tool to select low methane emitting cattle was created, industry impact would be low. This project will develop a carbon offset protocol specific to technologies in the cow herd that reduce GHG emissions, with a focus on genetic selection, aiming to incentivize sustainable practice adoption. The project will also engage an industry advisory committee to develop beneficial management practices (BMPs) for genetic selection on commercial farms. These BMPs will be piloted on 50 commercial farms for economic performance, with integration of measurements needed to evaluate the carbon protocol and the quantification prototype. Participating producers will also be interviewed to better understand barriers to adoption of genetic selection and different incentivization strategies. This project spans the entire innovation pipeline, from discovery to adoption, to reduce GHG emissions from the beef cattle while supporting a resilient and profitable industry.