Data

Better prediction and management of Rhizoctonia disease in cereals

Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia
CSIRO - Waite Campus ; Cook, Amanda ; Gupta, Vadakattu ; Harris, Nady ; McKay, Alan ; Ophel, Kathy ; Richter, Ian ; Roget, David ; Shepperd, Wade ; Smith, Daniel
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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/20694&rft.title=Better prediction and management of Rhizoctonia disease in cereals&rft.identifier=https://www.farmtrials.com.au/trial/20694&rft.publisher=Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia&rft.description=To improve long term control of Rhizoctonia by increasing the understanding of the interactions between disease inoculum and natural soil suppressive activity and to improve the prediction and management of disease.&rft.creator=CSIRO - Waite Campus &rft.creator=Cook, Amanda &rft.creator=Gupta, Vadakattu &rft.creator=Harris, Nady &rft.creator=McKay, Alan &rft.creator=Ophel, Kathy &rft.creator=Richter, Ian &rft.creator=Roget, David &rft.creator=Shepperd, Wade &rft.creator=Smith, Daniel &rft.date=2026&rft.coverage=northlimit=-32.797222; southlimit=-32.797222; westlimit=134.211111; eastlimit=134.211111; 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=Forage&rft_subject=Medic&rft_subject=Crop Type&rft.type=dataset&rft.language=English Access the data

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Full description

To improve long term control of Rhizoctonia by increasing the understanding of the interactions between disease inoculum and natural soil suppressive activity and to improve the prediction and management of disease.

Created: 2010

Issued: 15 01 2026

Data time period: 2010 to 2010

This dataset is part of a larger collection

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134.21111,-32.79722

134.211111,-32.797222

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