Data

Intercropping to utilise rainfall for profit

Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia
Riverine Plains ; Christy, Brendan ; Khanal, Uttam ; Mitchell, Meredith ; O’Leary, Garry ; Stott, Kerry
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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/40666&rft.title=Intercropping to utilise rainfall for profit&rft.identifier=https://www.farmtrials.com.au/trial/40666&rft.publisher=Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia&rft.description=To determine if two crop species sown together (intercropping) could provide an opportunity to increase total grain yield compared to monocultures, diversify grain production and increase yield and profit in the Riverine Plains region.&rft.creator=Riverine Plains &rft.creator=Christy, Brendan &rft.creator=Khanal, Uttam &rft.creator=Mitchell, Meredith &rft.creator=O’Leary, Garry &rft.creator=Stott, Kerry &rft.date=2025&rft.coverage=northlimit=-35.995169; southlimit=-36.457024; westlimit=145.631585; eastlimit=146.462668; 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=Cereal (Grain)&rft_subject=Barley&rft_subject=Wheat&rft_subject=Grain Legume&rft_subject=Faba beans&rft_subject=Field peas&rft_subject=Oilseed&rft_subject=Canola&rft.type=dataset&rft.language=English Access the data

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Full description

To determine if two crop species sown together (intercropping) could provide an opportunity to increase total grain yield compared to monocultures, diversify grain production and increase yield and profit in the Riverine Plains region.

Created: 2020

Issued: 22 10 2025

Data time period: 2020 to 2020

This dataset is part of a larger collection

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146.46267,-35.99517 146.46267,-36.45702 145.63159,-36.45702 145.63159,-35.99517 146.46267,-35.99517

146.0471265,-36.2260965

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