|Contributor||Department of Agriculture and Food WA|
To determine the impact of stubble burning on snail populations in a canola paddock
Windrow burning can reduce small pointed snail populations by over 90%. If there are weeds or fallen stubble that are not burnt then snails can still be present in the paddock.
|Lead research organisation||
Department of Agriculture and Food WA
|Host research organisation||N/A|
|Trial funding source||GRDC DAW00251|
The research undertaken as part of this project is made possible by the significant contributions of growers through both trial cooperation and the support of the GRDC’s Regional Cropping Solutions Network, as well as the farmer group Stirling to Coast Farmers, the authors would like to thank them for their continued support.
|Other trial partners||Not specified|
|Sow date||Not specified|
|Harvest date||Not specified|
|Plot size||Not specified|
|Plot replication||Not specified|
The paddocks were harvested in December 2015 and a hay rake was used to rake all of the barley chaff into windrows in January 2016.
Swaths were on the ground and fallen stubble and weeds were present in the inter-rows.
Pre-burn assessments were done 11th March 2016, paddocks were burnt 19 March 2016 and post-burn counts were done 21st March 2016.
Every 10 metres for 100 metres, the number of snails in the barley windrow in a 0.1 metre square quadrat were counted. The snails were all collected and spray painted with bitumen paint. The snails were then placed back to where they were found and the windrow replaced. For every count in the windrow, the adjacent inter-row (2 metres from the windrow) was also counted. All the snails in a 0.1 metre square quadrat were counted, sprayed with bitumen paint and then placed back to where they were found.
After windrow burning, the same locatio
|@T1: Pre-burn||@T2: Post-burn|
||Snail (number/square metre)||Snail (number/square metre)|
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.