BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250801T004936EDT-6635E5zH4o@132.216.98.100 DTSTAMP:20250801T044936Z DESCRIPTION:ºÚÁϲ»´òìÈ's Faculty of Agricultural and Environmental Sciences is pleased to host Mitigating Agricultural Greenhouse Gases and Increasing Ca rbon Sequestration in a Circular Economy--an international symposium held under the auspices of the Agriculture and Agri-Food Canada Agricultural Gr eenhouse Gases Program II.\n\nRegister for the Zoom event\n\nSchedule\n 10: 00 – 10:10 AM EST\n Opening remarks and Introduction by Professor Chandra A . Madramootoo\, Bioresource Engineering\, ºÚÁϲ»´òìÈ University\n 10:10 – 10:15 AM EST\n Welcome remarks: Dr Michael Hawes\, President and CEO\, Fulbright Canada\n 10:15 – 10:30 AM EST\n Keynote Speech: Professor Rattan Lal\, Dist inguished University Professor of Soil Science\,\n Director\, CFAES Rattan Lal Center for Carbon Management and Sequestration \, The Ohio State Unive rsity. Recipient of the World Food Prize\, 2020\n 10:30 – 10:50 AM EST\n Fea ture Presentation: Dr. Tim Searchinger\, Senior Fellow and Technical Direc tor\, Food program\, World Resource Institute\, Washington DC.\n Curtailing Greenhouse Gas Emissions for a Sustainable Food Supply\n 10:50 – 11:00 AM EST\n Open Discussion\n 11:00 – 11:10 AM EST - BREAK\n Panel Discussions\n  \n  \n Assessment and Modelling of Ecosystem Dynamics\n Framing Approaches to G reenhouse Gas Reductions in a Circular Economy\n  \n 11:10 – 11:50 AM EST\n 1 2:00 – 12:30 PM EST\n Panel Chair\n Ralf Kiese\, Professor Karlsruhe Institu te of Technology\, Germany\n Brent Swallow\, Professor University of Albert a\n Panel Rapporteur\n Genevieve Grenon\, ºÚÁϲ»´òìÈ University\n Ashley Macdonal d\, Dalhousie University\n  \n The role of rhizodeposits in microbial respir ation of greenhouse gases - Aidan De Sena\, ºÚÁϲ»´òìÈ Univ.\n Development of s ensor systems for in-situ measurement of soil CO2 dynamics - Viacheslav I. Adamchuk\, ºÚÁϲ»´òìÈ Univ.\n  \n Modeling greenhouse gas (GHG) emissions in da iry farms under different water and forage management systems: A case in N ova Scotia\, Canada - Chanuka Swarnathilake\, Dalhousie Univ.\n Economic an alysis of yield estimation under future climate change scenarios in Quebec and Ontario: DSSAT model approach - Latif Mohammad\, Univ\, Saskatchewan \n  \n Greenhouse gas emissions from frozen agricultural soils - Kosoluchukw u Ekwunife\, ºÚÁϲ»´òìÈ Univ.\n Economic analysis of water management technolog y in Eastern Canada - Mariela Marmanillo\, Univ. Saskatchewan\n  \n Plausibl e spring nitrous oxide emissions under climate change in southern Quebec\, Canada | Presentation - Chih-Yu Hung \, ºÚÁϲ»´òìÈ Univ.\n Identifying cost-co mpetitive greenhouse gas mitigation potential for Canadian grain Productio n - Mfon Essien\, ºÚÁϲ»´òìÈ Univ.\n  \n Mitigating agricultural greenhouse gas emissions through nature-based solutions and artificial intelligence - Nae em Abbasi\, ºÚÁϲ»´òìÈ Univ.\n Co-benefits evaluation and policy implication fr om the adoption of innovative Agricultural water management: a case study of corn agroecosystem in eastern Canada - Ran Sun\, Univ. Saskatchewan\n   \n Global warming potential of water management practices for intensive cro p production under a changing climate - Qianjing Jiang\, ºÚÁϲ»´òìÈ Univ.\n  \n 11:50 AM – 12:00 PM EST - BREAK\n 12:30 – 12:50 PM EST\n Open Discussion and key take away messages\n 12:50 – 1:00 PM EST\n Symposium Wrap – up and clos ing remarks Professor Chandra Madramootoo\n The AGGP II Project\, An Integr ated Socio-economic and Biophysical Framework for Mitigating Greenhouse Ga s Emissions under Agricultural Water Management Systems in Eastern Canada\ , aimed to identify\, develop and disseminate information for beneficial w ater management practices which simultaneously reduces GHG emissions\, inc reases agricultural productivity and produces environmental co-benefits.\n \nSome Findings\n\nThis project set out to develop 8 new BMPs and innovati ve methodologies and developed 12. The project successfully demonstrated 9 technologies/information products to crop growers. Over 200 agricultural producers participated in technology transfer events. Some 55 journal publ ications were produced by the researchers and at least 20 presentations we re made to stakeholders.\n Some specific results from this project are:\n\n a) Controlled drainage (CD) produces profit via yield increases at the far m level. CD can be classified as a climate smart technology and decision m akers should continue to work with the research community and crop growers to further promote adoption. We showed that CD & optimum fertilizer appli cation reduced N2O emissions by over 45% compared to conventional drainage \, and CD alone reduced CO2 emissions by 6% compared to conventional drain age.\n b) Soil Organic Carbon (SOC) sequestration rates are projected to be −1.0 Mg ha−1 each year from 2038 to 2070 under CD\, which was 22% lower t han baseline. The removal of carbon from atmospheric CO2 into SOC pools by C sequestration through crop growth is an important process that reduces the net global warming potential.\n c) A method was developed to label root exudates of ryegrass (Lolium multiflorum) with both 13C and 15N. This met hod is being applied to understand which microorganisms are metabolizing t hese substrates\, producing greenhouse gases\, and increase our understand ing of soil C and N dynamics.\n d) Fertilizer management: Fertilizer applic ation is recommended 4 weeks after planting rather than 6 weeks (the tradi tional practice). Also\, there should be a lag of 2 – 3 days after precipi tation before applying fertilizer to reduce GHG emissions.\n e) A two-node\ , low-cost prototype wireless sensor network for measuring CO2 flux was de veloped and tested\, and is now being scaled up for large scale commercial farms.\n f) Corn-soybean rotation reduced CO2 and N2O emission by 18.8% an d 20.7% when compared with continuous cropping of corn. Corn-soybean rotat ion improves crop yields and sequesters carbon compared to continuous corn cropping.\n g) Six shallow data-driven Machine learning (ML) algorithms we re developed and tested for predicting CO2 and N2O emissions. The ML model s were compared to biophysical models\, RZWQM2 and DNDC . The predictive p erformances of ML models proved to be an effective and efficient alternati ve to mechanistic models. It is promising modelling framework to scale up emissions from farm level to regional scale.\n h) An economic analysis show ed that CD produced over 3% higher crop yields compared to conventional ti le drainage (TD). The Net Present Value (NPV) of CD was C $546 ha-1 and C $968 ha-1 (2015) at a 5% discount rate over 20 years in Quebec and Ontario respectively. Additionally\, CD has substantial social benefits because i t reduces GHG emissions and nitrate leaching. Hence\, there is a need for public financial assistance to encourage adoption.\n DTSTART:20210929T140000Z DTEND:20210929T170000Z SUMMARY:Mitigating Agricultural Greenhouse Gases and Increasing Carbon Sequ estration in a Circular Economy URL:/channels/channels/event/mitigating-agricultural-g reenhouse-gases-and-increasing-carbon-sequestration-circular-economy-33337 2 END:VEVENT END:VCALENDAR