Claudia Gebert, SFS
|Contributor||Southern Farming Systems|
Site 1, Westmere, VIC
With limited barley varieties suited to the high rainfall zone, it is important that there are agronomy packages available that suit each variety to maximise production and profitability. This project is helping to build a strong database of knowledge for targeted variety management, which will give advisors and growers confidence to try new varieties as they become available.
Early sown Planet with a plant population of 200 pl/m2 was the highest yielding treatment.
Increased plant populations were not shown to significantly increase yields.
Early sowing times showed a significantly higher yield results (p=0.05) however this results could be influenced by frost events.
|Lead research organisation||
Southern Farming Systems
|Host research organisation||N/A|
|Trial funding source||GRDC DAN00173|
Management of Barley and Barley Cultivars for the Southern Region
Graeme McCrow - host farmer of the Westmere Trial Site.
SFS research and technical staff for trial management and assessments.
|Other trial partners||Not specified|
|Crop type||Cereal: Barley|
|Sow rate or Target density||Not specified|
|Sowing machinery||Not specified|
|Plot size||Not specified|
|Plot replication||Not specified|
|Plot blocking||Not specified|
|Plot randomisation||Not specified|
|Paddock history||Not specified|
|Soil amelioration||Not specified|
|Seed treatment||Not specified|
|Other trial notes||
In 2017 a similar VSAP trial was run at the Campbell Town SFS trial site in Tasmania, comparing Planet and Westminster. This trial was funded by Seedforce and is a complement to the trials that have been run as part of the Barley Agonomy Project in SW Victoria. A report on this trial is available in the SFS Tasmania trial results book and will also be accessible through the SFS website. Released to OFT in 2019.
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.