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Modelling nitrous oxide emission of high input maize crop systems


Bassu, S and Acutis, M and Amaducci, S and Argenti, G and Baranowski, P and Berti, A and Bertora, C and Bindi, M and Bosco, S and Brilli, L and Cammarano, D and Doro, L and Ferrise, R and Grignani, C and Harrison, MT and Iocola, I and Krzyszczak, J and Lai, R and Morari, F and Mula, L and Nendel, C and Oygarden, L and Perego, A and Priesack, E and Pulina, A and Stella, T and Wu, L and Zubik, M and Roggero, PP, Modelling nitrous oxide emission of high input maize crop systems, Book of Abstracts, 22-24 May, Berlin, Germany, pp. 1-2. (In Press) [Conference Extract]

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Arable soils are a large source of nitrous oxide (N2O) emission and several factors may affect the processes (nitrification and denitrification) responsible for its production. In particular, forage crop systems for dairy farming are among the cropping systems with highest N input, mainly because they are based on high yielding forage grasses such as maize. A number of options have been explored to decrease the emissions but they remain site specific and are related to climatic, soil and local availability of management options. Moreover, guidelines for estimating N2O emission from agricultural soils does not take into account different crops, soils, climate and management, all of which are known to affect nitrification-denitrification and N2O production and emission.

Process-based models represent a promising route to capture the spatial and temporal variability of N2O emissions, along with the effects of crop management. Nevertheless, the testing and comparison of these models have been limited to only a few works, with studies mainly based on biogeochemical models rather than process-based crop models. Furthermore, a multi-model ensemble analysis, which proved to be the best option for crop system analysis, has not been done extensively for the simulation of N2O emissions to addressing the various options for mitigations practices related to maize crop fertilization systems.

Our objective is to evaluate the performance of several process-based models in simulating N2O emission under different type, amount, rate of N fertilizer, i) quantify N2O emission, as a function of nitrogen inputs, across a wide range of soil types and environmental contexts; ii) assess the uncertainty in simulating N2O emission, and iii) identify efficient mitigation of N-fertilized maize systems.

Item Details

Item Type:Conference Extract
Keywords:Maize, nitrous oxide emissions, nitrification, fertiliser, modelling, soil, crop, yield
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Agriculture, land and farm management
Research Field:Agricultural systems analysis and modelling
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Mitigation of climate change
Objective Field:Management of greenhouse gas emissions from plant production
UTAS Author:Harrison, MT (Associate Professor Matthew Harrison)
ID Code:114958
Year Published:In Press
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2017-03-03
Last Modified:2017-04-13

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