Sulphur management in a three year rotation

2016
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) Leighton Wilksch (Agbyte)
Year(s) 2016
Contributor Hart Field Site Group
Trial location(s) , SA
Sulphur management in a three year rotation locations
Aims

To establish product, rates and timings suitable to achieving the most economic return for managing sulphur deficiency.

Key messages
  • The addition of sulphur increased wheat grain yield at both trial sites.
  • Grain yield at the clay loam site was consistent for all of the sulphur rates, sources (gypsum and SoA) and application times tested
  • In contrast, there was variation in grain yield for the sulphur treatments tested at the sandy dune location due to the poor nutrient holding capacity of this soil type.
Lead research organisation N/A
Host research organisation N/A
Trial funding source SAGIT
Related program N/A
Acknowledgments

Thanks to SAGIT for project funding to complete this research. Also thanks to NSS and Garrett Bettess.


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

Method

Crop type Cereal (Grain): Wheat
Treatment type(s)
  • Fertiliser: Application Method
Trial type Experimental
Trial design Replicated

2016

Sow rate or Target density Mace @ 60 kg/ha
Sow date 11 May 2016
Harvest date Unknown
Plot size 1.5m x 11m
Plot replication Not specified
Fertiliser
  • MAP (10:22) @ 90kg/ha on 11 May
  • Urea (46:0) applied to balance nitrogen rates across site
  • Sulphur applied as per rates listed in Tables 1 and 2
Other trial notes

While all due care has been taken in compiling the information within this manual the Hart Field-Site Group Inc or researchers involved take no liability resulting from the interpretation or use of these results. We do not endorse or recommend the products of any manufacturers referred to. Other products may perform as well or better than those specifically referred to. Any research with un-registered products and rates in the manual does not constitute a recommendation for that particular use by the researchers or the Hart Field-Site Group Inc.

Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Treatment 1
NDVI (.) Grain yield (t/ha)
1 Gypsum @ 3000kg/ha in 2015 0.758 5.63
2 SoA @ 150kg/ha in both years 0.771 5.6
3 SoA @ 150kg/ha in 2015 0.745 5.51
4 SoA @ 100kg/ha in both years 0.742 5.51
5 Gypsum @ 1000kg/ha in both years 0.726 5.49
6 SoA @ 75kg/ha in both years 0.77 5.48
7 SoA @ 300kg/ha in 2015 0.748 5.45
8 SoA @ 50kg/ha in both years 0.757 5.42
9 Gypsum @ 1000kg/ha in 2015 0.745 5.4
10 SoA @ 150kg/ha in 2015 0.752 5.28
11 SoA @ 75kg/ha in 2015 0.758 5.28
12 Nil 0.741 4.74

Grain yield t/ha


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NDVI .


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
, SA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
, 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 SA
2016 508.5mm
2015 456.4mm
2014 541.6mm
2013 531.6mm
2012 533.2mm
2011 561.4mm
2010 566.6mm
2009 521.5mm
2008 507.1mm
2007 551.7mm
2006 534.0mm
2005 505.3mm
2004 489.1mm
2003 520.5mm
2002 517.1mm
2001 555.1mm
2000 552.6mm
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.

SA

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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: 14-01-2023 23:04pm AEST