Data

Grass weed management in retained stubble systems - farm demonstrations

Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia
Eyre Peninsula Agricultural Research Foundation ; Cook, Amanda ; Fleet, Ben
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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/18366&rft.title=Grass weed management in retained stubble systems - farm demonstrations&rft.identifier=https://www.farmtrials.com.au/trial/18366&rft.publisher=Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia&rft.description=The GRDC ‘Maintaining profitable farming systems with retained stubble’ projects on upper and lower Eyre Peninsula (EP) aim to improve farm profitability while retaining stubble in farming systems. Grass weed management is one of the key issues of current cropping systems with annual ryegrass and barley grass being of most importance on lower EP (LEP) and upper EP (UEP) respectively. Herbicides continue to be the main strategy for weed control, and on LEP the intensification of cropping rotations and the decrease in livestock from farming systems has resulted in even further pressure on herbicides, resulting in the accelerated development of herbicide resistance in ryegrass.An integrated approach to weed management (IWM) is required to slow the development of herbicide resistance and improve the sustainability of our farming systems. IWM aims to lower the weed seed bank with the use of herbicides as well as non-chemical techniques such as cultivation, higher sowing rates, and harvest weed seed management such as burning stubble, narrow windrow and chaff cart dumps. Demonstration paddocks were monitored to assess grass weed management strategies in current farming systems. This information will be used to improve the Ryegrass Integrated Management (RIM) model for EP systems, and potentially produce other grass weed management models (barley grass).&rft.creator=Eyre Peninsula Agricultural Research Foundation &rft.creator=Cook, Amanda &rft.creator=Fleet, Ben &rft.date=2017&rft.coverage=northlimit=-32.833114; southlimit=-32.833114; westlimit=135.143719; eastlimit=135.143719; 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=Cereal (Grain)&rft_subject=Wheat&rft_subject=Oilseed&rft_subject=Canola&rft_subject=Weed&rft_subject=Other grass&rft_subject=Harvest Timing&rft_subject=Stubble Management&rft.type=dataset&rft.language=English Access the data

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The GRDC ‘Maintaining profitable farming systems with retained stubble’ projects on upper and lower Eyre Peninsula (EP) aim to improve farm profitability while retaining stubble in farming systems. Grass weed management is one of the key issues of current cropping systems with annual ryegrass and barley grass being of most importance on lower EP (LEP) and upper EP (UEP) respectively. Herbicides continue to be the main strategy for weed control, and on LEP the intensification of cropping rotations and the decrease in livestock from farming systems has resulted in even further pressure on herbicides, resulting in the accelerated development of herbicide resistance in ryegrass.
An integrated approach to weed management (IWM) is required to slow the development of herbicide resistance and improve the sustainability of our farming systems. IWM aims to lower the weed seed bank with the use of herbicides as well as non-chemical techniques such as cultivation, higher sowing rates, and harvest weed seed management such as burning stubble, narrow windrow and chaff cart dumps. Demonstration paddocks were monitored to assess grass weed management strategies in current farming systems. This information will be used to improve the Ryegrass Integrated Management (RIM) model for EP systems, and potentially produce other grass weed management models (barley grass).

Created: 2016

Issued: 09 05 2017

Data time period: 2016 to 2016

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135.14372,-32.83311

135.143719,-32.833114

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