Ciara Beard (DAFWA)
|Contributor||North East Farming Futures|
Nabawa Road East, WA
To assess the efficacy of foliar fungicide application prior to stem extension for control of yellow spot or stagonospora nodorum in wheat in low rainfall zones.
Initially there was disease evident at the site (14% on top 4 leaves at Z22) . The disease was found to predominantly yellow spot, with some septoria nodorum blotch also present (75:25). The disease continued to progress up the canopy and there were significant differences between fungicide treatments when disease was assessed at Z22, Z39 and Z65. There were no statistically significant yield differences, probably due to the dry spring, only approximately 60 mm of rain fell in the 8 weeks after flag leaf emergence. Average yield was 1.1 t/ha. Previous DAFWA research has found that at least 80 mm of rain needs to fall in this period for a Z39 flag leaf fungicide application to be profitable. While there were no significant yield impacts from the fungicide treatments there were significant grain quality results (see Table in attached document). The double spray strategy of applying fungicide at Z22 and Z39 gave the best disease control throughout the season. It, along with the Z39 spray on its own, were the best treatments for high hectolitre weight and lowest screenings.
|Lead research organisation||
North East Farming Futures
|Host research organisation||N/A|
|Trial funding source||GRDC UB00003|
|Other trial partners||Not specified|
|Sow rate or Target density||80 kg/ha|
|Sow date||20 May 2012|
|Harvest date||Not specified|
|Plot size||20m X 5m|
Agstar Xtra @ 50 kg/ha at seeding, Urea @ 30 kg/ha down boot.
Velocity 670 mL in July, LV680 @ 800 mL in Early August.
||Protein (%)||Screenings (%)|
|2||█ Prosaro @150mL/ha at Z22||12.8||2.2|
|3||█ Prosaro @300mL/ha at Z39||12.8||1.7|
|4||█ Prosaro @ 150mL at Z22 and Z39||12.9||1.7|
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.