Nutrition packages for wheat on sands - nutrition package

2017

Research organisaton
Funding source

Trial details

Researcher(s) Therese McBeath, Rick Llewellyn, Vadakattu Gupta, Bill Davoren, Willie Shoobridge (CSIRO Agriculture and Food), Michael Moodie, Bill Davoren, Todd McDonald and Mick Brady (MSF)
Year(s) 2017
Contributor CSIRO - Agriculture and Food
Trial location(s) Site 3, Loxton, SA
Further information View external link
Nutrition packages for wheat on sands - nutrition package locations
Aims

To address the following question:

Are there Zn containing N fertiliser products that have a consistent produciton or N use efficiency advantage over urea?

Key messages
  • Previously observed benefits of improved N use efficiency where Zn is supplied with the N were not captured in the 2017 season.
Lead research organisation CSIRO - Agriculture and Food
Host research organisation N/A
Trial funding source CSIRO MSF00003
Related program Maintaining profitable farming systems with retained stubble
Acknowledgments

We thank Loller Partners (Karoonda), Bulla Burra (Loxton) and the Hastings family (Ouyen) for hosting the field sites. Thanks to Jeff Braun and Lou Flohr for discussions around trial design. Thanks to Colin Rivers and Ros Baird for preparing granular Zn fertilisers. This research is funded by GRDC and CSIRO Agriculture and Food (project MSF00003).


Other trial partners MSF
Download the trial report to view additional trial information

Method

Crop type Wheat
Treatment type(s)
  • Fertiliser
  • Fertiliser: Rate
  • Fertiliser: Timing
Trial type Experimental
Trial design Replicated

Loxton 2017

Sow rate or Target density Scepter wheat at 70 kg/ha
Sowing machinery

Knife points and a dual shoot system on 28 cm row spacing

Sow date 24 May 2017
Harvest date Not specified
Plot size 2m x 20m
Plot replication Not specified
Fertiliser
  • All plots received a pre-sowing application equivalent to 33 kg/ha of potassium sulfate, 10 kg P/ha as triple superphosphate at sowing and an in-crop foliar application of Cu and Mn.
  • All fertiliser products were applied below the seed and the treatment list is below.
  • N and Zn Product

    N  applied (kg/ha)

    Zn applied (kg/ha)

    Nil

    0

    Herbicide

    1.5 L/ha of trifluralin pre-sowing

    Other trial notes

    Peer Review: Sean Mason (Agronomy Solutions), Sarah Noack (Hart Fieldsite), Jake Giles (SARDI)

    Download the trial report to view additional method/treatment information

    Download results

    Trial results Table 1

    # Treatment 1
    Treatment 2
    Treatment 3
    Grain yield (t/ha)
    1 0N Nil 0.43
    2 20N Urea 0.83
    3 40N Urea 0.83
    4 20N MAP 0.88
    5 20N ZnMAP 0.85
    6 20N Zn-coated Urea *
    7 20N Zn-S coated Urea 0.86
    8 20N Urea plus foliar Zn 0.75

    Grain yield t/ha


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    Observed trial site soil information
    Trial site soil testing
    Site Depth Type pH EC P K N A OC CAT
    Site 3, Loxton, SA 0 - 10cm Sand 8.54 0.09 15.00 190.00 20.00 0.27
    Soil conditions
    Trial site Soil texture
    Site 3, Loxton, SA Not specified
    Derived trial site soil information
    Australian Soil Classification Source
    Trial site Soil order
    Site 3, Loxton, SA Calcarosol
    National soil grid Source
    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

    Site 3, Loxton SA 2017


    Observed climate information

    Rainfall avg ann (mm) 262mm
    Rainfall avg gsr (mm) 172mm
    Rainfall trial total (mm) 291mm
    Rainfall trial gsr (mm) 140mm

    Derived climate information

    Site 3, Loxton 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 last modified: 16-07-2019 14:02pm AEST