Data

Nutrition management: do soil nutrient levels constrain production in the Victorian high rainfall zone?

Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia
Southern Farming Systems ; Grimmer, I ; Killoran, Jade ; McCaskill, Malcolm ; Riffkin, Penny ; Smith, Jamie
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/18797&rft.title=Nutrition management: do soil nutrient levels constrain production in the Victorian high rainfall zone?&rft.identifier=https://www.farmtrials.com.au/trial/18797&rft.publisher=Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia&rft.description=To see if soil nutrient levels constrain production in the Victorian high rainfall zone.To formulate tools which predict the production, economic response and risk of applying inputs to wheat and canola crops within the south-eastern high rainfall zones.&rft.creator=Southern Farming Systems &rft.creator=Grimmer, I &rft.creator=Killoran, Jade &rft.creator=McCaskill, Malcolm &rft.creator=Riffkin, Penny &rft.creator=Smith, Jamie &rft.date=2017&rft.coverage=northlimit=-37.636583; southlimit=-38.084121; westlimit=142.546430; eastlimit=143.937129; projection=WGS84&rft_rights=Online Farm Trials Terms of Use https://www.farmtrials.com.au/terms-of-use/&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=CROP AND PASTURE PRODUCTION&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=Oilseed&rft_subject=Canola&rft_subject=Soil Preparation&rft.type=dataset&rft.language=English Access the data

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To see if soil nutrient levels constrain production in the Victorian high rainfall zone.
To formulate tools which predict the production, economic response and risk of applying inputs to wheat and canola crops within the south-eastern high rainfall zones.

Created: 2015

Issued: 29 06 2017

Data time period: 2015 to 2015

This dataset is part of a larger collection

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143.93713,-37.63658 143.93713,-38.08412 142.54643,-38.08412 142.54643,-37.63658 143.93713,-37.63658

143.2417795,-37.860352

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