To evaluate a range of Group G herbicide ‘spikes’ to better understand there market fit prior to sowing broadacre crops.
Key messages
There are several Group G herbicide spikes on the market for use prior to broadacre crops with their specific benefits and limitations
It important to read the herbicide label and be aware of plant back restrictions before the use of any herbicide.
Sharpen Group G herbicide significantly increased percentage of brown out across the weed spectrum 7 DAA at Frances in 2012.
At Frances in 2012 all Group G herbicides showed increased percentage of brown out 7 DAA on annual ryegrass but there was no significant difference between treatments 22 DAA.
Sharpen, Hammer 400 and Valour significantly increased percentage brown out 22 DAA on clover at Frances in 2012.
At Frances in 2012 the results indicated Glyphosate was providing majority control of lesser loosestrife.
Sharpen Herbicide showed a significantly increase in brownout on capeweed 7 DAA at Frances in 2012.
Lead research organisation
N/A
Host research organisation
N/A
Related program
N/A
Acknowledgments
Chris and Tim Fry and Family for providing an excellent Location and Site.
Lachie Seears and Family for providing an excellent Location and Site.
Nic Amos and Kalyx Australia Pty Ltd for there cooperation and professionalism in conducting the trial on Elders behalf
Felicity Turner, Krysteen McElroy and the Mackillop Farm Management Group for a platform to communicate important agronomic issues to growers.
Trial source data and summary not available Check the trial
report PDF for trial results.
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.
Conmurra VIC
Frances VIC
Conmurra VIC
Frances VIC
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.
