|Contributor||Department of Primary Industries and Regional Development WA|
Lake Grace, ACT
This trial is the second year of the trial series comparing the performance and response of two breeding lines (03198-18, named Kowari , and 06204-16, named Bilby ) and two benchmark varieties (Carrolup and Williams ) to changes in nitrogen and plant density in medium rainfall environments. This research builds on the trials conducted at Holt Rock in 2014-2016.
Kowari and Williams yielded similarly, and out-yielded newly accredited variety Bilby (breeding line 06204-16) (by 0.15 t/ha) and Carrolup (by 0.25 t/ha).
Bilby was the most sensitivity to increasing nitrogen, with N increasing from 0 to 60kg N/ha significantly reducing Bilby’s hectolitre weight.
|Lead research organisation||
Department of Primary Industries and Regional Development WA
|Host research organisation||N/A|
|Trial funding source||GRDC DAW00227|
|Trial funding source||DPIRD WA DAW00227|
Tactical Break Crop Agronomy
The author acknowledges the research support of Blakely Paynter, and technical support of Kim Arnold, and the DPIRD Research Support Units at Northam, Wongan Hills and Katanning. 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, the author would like to thank them for their continued support.
|Other trial partners||Not specified|
Small plot air seeder.
|Sow date||30 May 2018|
|Harvest date||11 December 2018|
|Plot size||10m x 1.85m|
|Fertiliser||<p>Basal fertiliser comprised of CSBP Super CZM which was treated with Uniform (40ml/L) and banded below the seed at 120 kg/ha.</p>|
|Seed treatment||Emerge + Vibrance (max label rate), Uniform treatment on fertiliser.|
|Rainfall trial gsr (mm)||163mm|
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.