IFS agronomic webinars

Connecting research and practice

Expanded series

Rigorous detail

Realtime Q&A

Written papers

Managed Grassland / PASTURE

Tuesday 17 May
08.00 BST / 09.00 CET / 15.00 AWST / 16.30 ACST / 17.00 AEST

The main focus will be on the more reliable rainfall parts of Australian pasture regions with quick overview of the arid pastoral zone. What might be possible to store in a range of situations. What are the limiting factors that need to be addressed?

Speaker: Dr Warwick Badgery, NSW Department of Primary Industries, Australia

Panellist: Prof Peter Grace, Queensland University of Technology, Australia

Management of manure and slurry in intensively grazed grassland to balance soil carbon and emissions / leaching objectives

Speaker: Prof Dave Chadwick, Bangor University, UK

Panellist: Dr Katja Klumpp, INRA, France

Chair: John Williams, Head of Soil Science, ADAS, UK

Dr Warwick Badgery

Dr Warwick Badgery is a research leader with NSW Department of Primary Industries (DPI) who has over 15 years’ research experience on improving the profitability and sustainability of grazing systems and mitigating greenhouse gas emissions under a changing climate. Warwick has significant experience in investigating soil C under grazing systems, led the Central NSW component of the National Soil Carbon Research Project (SCaRP) and helped to develop the first pilot pricing scheme for soil carbon in Australia. He is currently the Program Leader for the Feedbase Theme of the national Livestock Productivity Partnership, is a board member of Monaro Farming Systems and has adjunct positions with Melbourne University and China Agriculture University.

Prof Peter Grace

Peter Grace is Professor of Global Change at Queensland University of Technology in Brisbane, Australia. He has over 30 years international experience in soil nitrogen cycling for sustainable agricultural production and greenhouse gas emissions. He was previously Senior Soil Scientist at CIMMYT, led the National Agricultural Nitrous Oxide Research Program (NANORP) in Australia and is involved in the Global Research Alliance for Agricultural Greenhouse Gases. He also holds an adjunct professorship at Michigan State University.

Prof Dave Chadwick

Dave Chadwick is Professor of Sustainable Land Use Systems at Bangor University. His interests are in the management of nutrients in livestock manures, other organic resources and fertilisers to optimise nutrient utilisation whilst minimising impacts on water and air quality. This includes; quantifying and mitigating greenhouse gas emissions, reducing the risk of transfers of pollutants to watercourses, and understanding the secondary impacts of mitigating diffuse agricultural pollution in different systems, both in the UK and overseas.

Dave led the multi-partner Defra/Devolved Administrations funded InveN2Ory project to generate data to derive the new country-specific nitrous oxide emission factors (for fertiliser N applications , manure applications, and urine and dung deposition from grazing livestock) for the UK agriculture greenhouse gas inventory. As well as publishing refereed scientific papers, he also contributes to policy and practice. He joined Bangor University in 2012, after working at the North Wyke Research Institute (Institute of Grassland and Environmental Research [IGER], then Rothamsted Research) in Devon for 18 years.

Dr Katya Lumpp

Katya Klumpp has a PhD in Ecophysiology at the Technical University of Munich (Germany). At present she has a position as researcher at INRAE Grassland Ecosystem Research Unite (France). She is in charge of a long term experiment on permanent grasslands being involved in a National Environmental Research Observatory (SOERE) and the Integrated Carbon Observation System (ICOS) in the Massif Central, France.
Her research focuses on C and N cycling of grasslands (plant-soil-atmosphere) with respect to climate and management, including processes and mechanisms linked to soil C sequestration, GHG emissions (CH4, N2O) and forage production. Her research and expertise involves both, field measurements and processed based modeling (e.g. PaSim)