Plant growth regulants (PGR)

2011
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) Nicole Dimos (SPAA)
Ian Oswald (Jacobs (IOJ photography))
Sam Trengove (SPAA)
Year(s) 2011
Contributor Society of Precision Agriculture Australia
Trial location(s) Bute, SA
Plant growth regulants (PGR) locations
Aims

To assess the effects of plant growth regulants (PGR’s) on crop growth and grain yield across variable soils in wheat and barley.

Key messages

It was hypothesised that the benefits of the growth regulants would be related to the amount of crop growth. It was expected they would have a greater beneficial impact where the crop was identified as being thick and bulky, according to the aerial imagery and that the effects would be less or negative where crop growth was less and possibly already constrained by other factors such as nutrition. If this hypothesis were correct, crop imagery could be used to target growth regulants to areas where a positive response is most likely. There was lower NDVI at the southern end of Ronnies paddock, and this is where a negative yield response was observed, indicating the hypothesis may be correct, however the link is not strong.

Lead research organisation Society of Precision Agriculture Australia
Host research organisation N/A
Trial funding source GRDC SPA000010
Related program N/A
Acknowledgments

This project was funded by the Grains Research and Development Corporation (GRDC)


Other trial partners Bill and Max Trengove hosted the trial
Download the trial report to view additional trial information

Method

Crop types Barley
Wheat
Treatment type(s)
  • Growth regulator: Type
Trial type Precision agriculture
Trial design Not applicable

Bute 2011 Barley

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Bute 2011 Wheat

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Treatment 1
Treatment 2
Plant height (cm)
1 Wheat on loam flat No PGR 73.6
2 Wheat on loam flat PGR - Cycocel @ 1 L/ha @ GS31 72.3
3 Wheat on loam flat PGR - Cycocel @ 1 L/ha Moddus @ 200 mL/ha @ GS31 68.7
4 Wheat on sand hill No PGR 86.3
5 Wheat on sand hill PGR - Cycocel @ 1 L/ha @ GS31 82
6 Wheat on sand hill PGR - Cycocel @ 1 L/ha Moddus @ 200 mL/ha @ GS31 76.6
7 Barley on loam flat No PGR 76.5
8 Barley on loam flat PGR - Cycocel @ 1 L/ha @ GS31 73.1
9 Barley on loam flat PGR - Cycocel @ 1 L/ha Moddus @ 200 mL/ha @ GS31 62.1
10 Barley on sand hill No PGR 71.7
11 Barley on sand hill PGR - Cycocel @ 1 L/ha @ GS31 74.9
12 Barley on sand hill PGR - Cycocel @ 1 L/ha Moddus @ 200 mL/ha @ GS31 60.4

Plant height cm


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Bute, SA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Bute, SA Calcarosol
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 Bute SA
2011 519.8mm
2010 520.1mm
2009 458.8mm
2008 455.5mm
2007 471.9mm
2006 441.5mm
2005 437.8mm
2004 439.6mm
2003 476.4mm
2002 464.1mm
2001 498.2mm
2000 488.4mm
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.

Bute SA

NOTE: Exact trial site locality unknown - Climate data may not be accurate
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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: 30-09-2019 15:10pm AEST