Trial details
Researcher(s)
Danny Le Feuvre (Ag Consulting Co.)
Year(s)
2007
Contributor
Agriculture Kangaroo Island Incorporated
Trial location(s)
Penneshaw, SA
Riverton, SA
Warooka, SA
Aims
To demonstrate the effect of crop canopy densities on pollination.
Key messages
High seeding densities create dense canopies. Pollinating insects are unable to penetrate the dense canopy.
There is a clear benefit for managing canopy densities when using bees for pollination.
Lead research organisation
Agriculture Kangaroo Island Incorporated
Host research organisation
N/A
Related program
National Landcare Programme
Acknowledgments
Many thanks to sponsors: CJ Coleman, Michael Richards, Allan Wilson and the National Landcare Program.
Other trial partners
Ag Consulting Co.
Method
Crop type
Grain Legume: Faba beans
Treatment type(s)
Trial type
Experimental
Trial design
Replicated
Penneshaw 2007
Sow date
Not specified
Harvest date
Not specified
Plot size
Not specified
Plot replication
Not specified
Riverton 2007
Sow date
Not specified
Harvest date
Not specified
Plot size
Not specified
Plot replication
Not specified
Warooka 2007
Sow date
Not specified
Harvest date
Not specified
Plot size
Not specified
Plot replication
Not specified
Observed trial site soil information
Soil conditions
Trial site
Soil texture
Penneshaw, SA
Not specified
Riverton, SA
Not specified
Warooka, SA
Not specified
Derived trial site soil information
Average amount of water stored in the soil profile during the year, estimated by the
OzWALD model-data fusion system.
Year
Penneshaw SA
Riverton SA
Warooka SA
2007
2006
2005
2004
2003
2002
2001
2000
Climate
Derived climate information
No observed climate data available for this trial. Derived climate data is
determined from trial site location and national weather sources.
Penneshaw SA
Riverton SA
Warooka SA
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.
Trial report and links
2007 trial report