Data

Options for reducing nitrous oxide emissions from dryland cropping in the southern NSW grains region

Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia
Department of Primary Industries NSW ; Li, Guangdi ; Liu, De Li ; Schwenke, Graeme
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://www.farmtrials.com.au/trial/30310&rft.title=Options for reducing nitrous oxide emissions from dryland cropping in the southern NSW grains region&rft.identifier=https://www.farmtrials.com.au/trial/30310&rft.publisher=Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia&rft.description=The objectives were to:1. reduce nitrous oxide emissions from dryland grains cropping.2. improve nitrogen use efficiency.3. validate and develop process-based biogeochemistry models.4. simulate net greenhouse gas emission under current and projected future climate scenarios.&rft.creator=Department of Primary Industries NSW &rft.creator=Li, Guangdi &rft.creator=Liu, De Li &rft.creator=Schwenke, Graeme &rft.date=2023&rft.coverage=northlimit=-35.308235; southlimit=-35.308235; westlimit=149.124224; eastlimit=149.124224; projection=WGS84&rft_rights=Online Farm Trials Terms of Use https://www.farmtrials.com.au/terms-of-use/&rft_rights=Copyright. All rights reserved. https://www.farmtrials.com.au/terms-of-use/&rft_subject=CROP AND PASTURE PRODUCTION&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=Oilseed&rft_subject=Canola&rft_subject=Cereal (Grain)&rft_subject=Wheat&rft_subject=Grain Legume&rft_subject=Field peas&rft_subject=Lupins&rft_subject=Crop Type&rft.type=dataset&rft.language=English Access the data

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Full description

The objectives were to:
1. reduce nitrous oxide emissions from dryland grains cropping.
2. improve nitrogen use efficiency.
3. validate and develop process-based biogeochemistry models.
4. simulate net greenhouse gas emission under current and projected future climate scenarios.

Created: 2012 to 2015

Issued: 11 06 2023

Data time period: 2012 to 2015

This dataset is part of a larger collection

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149.12422,-35.30824

149.124224,-35.308235

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