Amanda Cook (SARDI)
|Contributor||SARDI Minnipa Agricultural Centre|
Site 4, Minnipa Agricultural Centre, SA
Farmers and advisors list weeds as one of the major constraints to improving the productivity and sustainability of southern Australian farming systems. Narrow windrow burning has been rapidly adopted across southern Australia as a weed management tool. The technique has been found to be very effective for controlling annual ryegrass and wild radish in WA. These weed species retain much of their seed by the time of crop harvest and a significant amount of weed seeds can be collected by the harvester and then concentrated into rows with the chaff and straw. High weed seed kill efficacy is generally achieved for annual ryegrass and wild radish at temperatures often achieved by burning narrow windrows.
Knowledge of both the threshold temperatures to kill weed seeds, and the temperatures achieved when burning crop residues in various formats are required to provide a guide to expected weed seed control of problematic weeds in low rainfall cropping systems. Unlike a whole paddock burn, this information will only relate to the fate of seed that enters the harvest windrow. The total efficacy of this method will be largely controlled by the proportion of weed seeds that can be collected by the harvester.
|Lead research organisation||
SARDI Minnipa Agricultural Centre
|Host research organisation||N/A|
|Trial funding source||SAGIT S416|
Thank you to Ruth and Damien Sommerville, Matt Nottle, Barry Mudge, Hannah Mikajlo, Jake Hull, Wade Shepperd, Ian Richter, Rochelle Wheaton and Brett Hay for their involvement in data collection.
|Other trial partners||Upper North Farming Systems|
No crop specified
|Sow date||Not specified|
|Harvest date||Not specified|
|Plot size||Not specified|
|Plot replication||Not specified|
SILO weather estimates sourced from https://www.longpaddock.qld.gov.au/silo/
Jeffrey, S.J., Carter, J.O., Moodie, K.B. and Beswick, A.R. (2001). Using spatial interpolation to construct a comprehensive archive of Australian climate data , Environmental Modelling and Software, Vol 16/4, pp 309-330. DOI: 10.1016/S1364-8152(01)00008-1.