|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||December 2015|
|Plot size||Not specified|
|Plot replication||Not specified|
Canola was harvested in December 2015, standing stubble was swathed in January 2016.
In the canola paddock there was no fallen stubble or weeds on 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.
Along 2 windrows, 2 metres from the start of the windrow, at every second metre for 20 metres of each windrow, one metre square of windrow was removed and all snails on the ground were removed. The total number of live and dead snails was counted. The snails were considered live if they moved on moistened paper towelling within 24 hours.
Five days after windrow burning, the same windrows were sampled. This time sampling started at 22 metres from the end of the windrow to avoid areas already sampled. One metre square of burnt windrow was removed, every second metre for 20 met
|@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.