Wheat varieties: managing yield and grain quality risks through sowing time and seeding rate at Mullewa

2012

Research organisatons
Funding source
North East Farming Futures Mullewa Farm Improvement Group

Trial details

Researcher(s) Melanie Kupsch (DAFWA)
Anne Smith (DAFWA)
Christine Zaicou-Kunesch (DAFWA)
Year(s) 2012
Contributor North East Farming Futures
Trial location(s) Mullewa Research Annex, WA
Wheat varieties: managing yield and grain quality risks through sowing time and seeding rate at Mullewa locations
Aims

To improve crop production by determining the effect of sowing time and sowing rate on crop yield and grain quality risks of new wheat varieties.

Key messages

Sowing time has a greater influence on production of all wheat varieties than seeding rate. Weed competition is one factor which can limit early sowing and increasing crop competition through increasing plant density has been demonstrated as a useful non chemical tool to reduce weed growth. The research has demonstrated that increasing plant density did not adversely affect crop yield or grain quality of crops sown close to the break of the season in May however higher plant densities of varieties sown in June did reduce yield of wheat varieties.There was no influence of seeding rate on crop production in 2012 at Mullewa when the crop was sown close to the break. However there was a yield penalty with the higher seeding rate when the sowing time was delayed by a month. These results are in contrast to 2011 at Mullewa. Increasing seeding rate increased crop production when sown close to the break and there was no effect on production with increasing seeding rate when seeding was delayed.

Lead research organisation N/A
Host research organisation Mullewa Farm Improvement Group
Trial funding source Mallee CMA
Related program Tactical Break Crop Agronomy
Acknowledgments N/A
Other trial partners North East Farming Futures
Download the trial report to view additional trial information

Method

Crop type Wheat
Treatment type(s)
  • Variety: Type
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Mullewa Research Annex 2012

Sow rate or Target density 100, 200 and 300 plants/m2
Sow date 11 May 2012 11 May and 7 June 2012
Harvest date Not specified
Plot size 20m x 1.54m
Plot replication 3
Fertiliser

TOS 1: 11 May, 80 kg/ha Agras Xtra drilled with seed + 60 kg/ha Urea topdressed.
TOS1: 11 May, sprayed 100 mL/ha Dominex +1.5 L/ha Triflur X + 1 L/ha Sprayseed
TOS2: 7Jun, 80 kg Agras Xtra + 50 kg/ha Urea
TOS1+2: 25 Jun, 0.5 L/ha Hasten + 700 mL/ha Velocity

Download the trial report to view additional method/treatment information
Trial source data and summary not available
Check the trial report PDF for trial results.
Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Mullewa Research Annex, WA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Mullewa Research Annex, WA Tenosol
Soil Moisture Source: BOM/ANU
Average amount of water stored in the soil profile during the year, estimated by the OzWALD model-data fusion system.
Year Mullewa Research Annex WA
2012 348.6mm
2011 437.3mm
2010 326.3mm
2009 361.0mm
2008 405.6mm
2007 327.6mm
2006 346.0mm
2005 340.8mm
2004 337.7mm
2003 345.4mm
2002 340.0mm
2001 313.0mm
2000 414.1mm
National soil grid Source: CSIRO/TERN
NOTE: National Soil Grid data is aggregated information for background information on the wider area
Actual soil values can vary significantly in a small area and the trial soil tests are the most relevant data where available

Soil properties

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Climate

Mullewa Research Annex WA 2012


Observed climate information

Rainfall trial gsr (mm) 100.4mm

Derived climate information

Mullewa Research Annex WA

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Some data on this site is sourced from the Bureau of Meteorology

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.



Trial last modified: 25-06-2019 13:07pm AEST