Tailoring barley plant density to specific varieties in order to maximise yield and quality

2016

Research organisaton
Funding sources

Trial details

Researcher(s) David Burch (NSW DPI)
Nick Moody (NSW DPI)
Year(s) 2016
Contributor Department of Primary Industries NSW
Trial location(s) Condobolin, NSW
Further information View external link
Tailoring barley plant density to specific varieties in order to maximise yield and quality locations
Aims

To examine tailoring barley plant density to specific varieties in order to maximise yield and quality

Key messages

• In the unusually wet growing season of 2016, increasing the barley plant density did not increase the yield of all varieties.

• High tiller numbers reduced overall grain size.

• In ideal growing conditions, some varieties with lower plant densities of <125 plants/m2 out-yielded higher density treatments.

Condobolin NSW 2016

Randomised complete block design, varieties and seed rates randomised within three replicates

Lead research organisation Department of Primary Industries NSW
Host research organisation N/A
Trial funding source GRDC DAN00173
Trial funding source DPI NSW
Related program Management of Barley and Barley Cultivars for the Southern Region
Acknowledgments

This experiment was part of the project ‘Management of barley and barley cultivars for the southern region’, DAN00173, 2013–18, with joint investment by GRDC and NSW DPI. Thanks to the technical support of Daryl Reardon, Nick Hill, Ian Menz and Kate Gibson. Postharvest analysis conducted by Alkira Gray, Brenton Gray and Leisl O’Halloran.


Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Cereal (Grain): Barley
Treatment type(s)
  • Crop: Variety
  • Sowing: Rate
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Condobolin 2016

Sow rate or Target density varied - see report
Sowing machinery

Sown using a six-row DBS plot seeder at 30 cm row spacings; 70 kg/ha mono-ammonium phosphate (MAP) was applied at sowing, providing an additional 7 kg/ha of available N.

Sow date 24 May 2016
Harvest date Unknown
Plot size Not specified
Plot replication 3
Plot randomisation yes
Herbicide

Pre-emergent weed control: WipeOut 450® 2 L/ha In crop application: Axial® 100EC 300 mL/ha + Adigor® 500 mL/100 L water

Pesticide

Targeting aphids: Primor WG® 150 g/ha
 

Other trial notes

This research paper is an extract from the publication Southern NSW Research Results 2017, available at
https://www.dpi.nsw.gov.au/agriculture/broadacre-crops/guides/publications/southern-nsw-research-results

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
Condobolin, NSW Red chromosol
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Condobolin, NSW Kandosol
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 Condobolin NSW
2016 518.5mm
2015 450.9mm
2014 441.3mm
2013 451.3mm
2012 506.5mm
2011 464.5mm
2010 454.9mm
2009 332.6mm
2008 323.0mm
2007 276.4mm
2006 286.2mm
2005 313.1mm
2004 293.7mm
2003 263.5mm
2002 268.4mm
2001 312.2mm
2000 355.0mm
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

Derived climate information

No observed climate data available for this trial.
Derived climate data is determined from trial site location and national weather sources.

Condobolin NSW

CAUTION: Trial site locality unknown; Climate data sourced from Department of Primary Industries NSW office location
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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 report and links

2016 trial report



Trial last modified: 07-06-2023 12:10pm AEST