Christine Zaicou-Kunesch, Melaine Kupsch and Anne Smith (DAFWA)
East Dalwallinu, WA
The objective of this research is to determine the value of agronomic management (plant density and nitrogen) on production of quality grain for profitable wheat systems. Increasing plant density is a useful tool to increase the competitiveness of a crop against weeds, however, how will this influence grain yield and quality for the new wheat varieties.
Increasing plant density is a tool to improve a crop’s competitiveness against weeds. This strategy did not adversely affect the yield of the varieties at the Liebe Main Trial Site in 2012.
Nitrogen treatments did not significantly influence crop yield however, did influence grain protein. The soil nitrogen levels and season are likely to have influenced this result. Soil testing and understanding the crops requirements as the season unfolds are useful strategies to manage crop performance economically.
The environment is likely to have had the bigger influence on the performance of the varieties than plant density or nitrogen. Growing season rainfall for 2012 was lower than average and disease patches (likely Rhizoctonia) were evident at the trial. The water use efficiency at the site was 13 kg/mm given growing season rainfall (April to October) was 133mm (plus 34mm in January) and grain yields of 1.98 t/ha across whole trial.
|Lead research organisation||N/A|
|Host research organisation||N/A|
|Trial funding source||GRDC DAW00218|
|Trial funding source||DAFWA|
Appreciate the support of the Liebe Group with trial planning and preparation. DAFWA’s technical services team for terrific trial management. GRDC and DAFWA jointly support this research aiming to improve profitability of wheat production through the Wheat Agronomy Project DAW 218.
|Other trial partners||Not specified|
|Sow date||22 May 2012|
|Harvest date||Not specified|
|Plot size||20m x 1.54m|
|Paddock history||2009 wheat, 2010 wheat, 2011 canola|
22/5/12: 100 kg/ha Agstar Extra, 25 kg/ha Muriate of Potash
22/5/12: 100 mL/ha Dominex, 118 g/ha Sakura,
13/7/12: 1 L/ha Hasten, 1 L/ha Decision;
23/7/12: 700 mL/ha Barracuda, 2.5 g/ha Ally
22/5/12: 200 mL/ha Talstar
||Protein (%)||Grain yield (t/ha)|
|1||█ Cobra||█||█ 14 kg N/ha||13.5||1.67|
|2||█ Cobra||█||█ 30 kg N/ha||13.7||1.87|
|3||█ Cobra||█||█ 60 kg N/ha||14.7||1.7|
|4||█ Cobra||█||█ 90 kg N/ha||14.8||1.93|
|5||█ Cobra||█ 105 plants/m2||█||1.76|
|6||█ Cobra||█ 169 plants/m2||█||1.68|
|7||█ Cobra||█ 210 plants/m2||█||1.65|
|8||█ Cobra||█ 266 plants/m2||█||1.72|
|9||█ Corack||█||█ 14 kg N/ha||12.4||2.06|
|10||█ Corack||█||█ 30 kg N/ha||13||2.15|
|11||█ Corack||█||█ 60 kg N/ha||13.6||2.2|
|12||█ Corack||█||█ 90 kg N/ha||14.7||2|
|13||█ Corack||█ 138 plants/m2||█||2.18|
|14||█ Corack||█ 199 plants/m2||█||2.15|
|15||█ Corack||█ 207 plants/m2||█||2.07|
|16||█ Corack||█ 88 plants/m2||█||2.09|
|17||█ Mace||█||█ 14 kg N/ha||11.9||2.16|
|18||█ Mace||█||█ 30 kg N/ha||12.7||2.13|
|19||█ Mace||█||█ 60 kg N/ha||13.1||2.06|
|20||█ Mace||█||█ 90 kg N/ha||14.3||1.92|
|21||█ Mace||█ 100 plants/m2||█||2|
|22||█ Mace||█ 176 plants/m2||█||2.05|
|23||█ Mace||█ 198 plants/m2||█||2.1|
|24||█ Mace||█ 292 plants/m2||█||2.16|
|Rainfall trial gsr (mm)||133mm|
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.