Assessing the impact of deep ripping and spading across three soil types near Quairading, Western Australia

2017

Research organisaton
Funding source

Trial details

Researcher(s) Tim Boyes (agVivo) and Joel Andrew (Map IQ)
Year(s) 2017
Contributor agVivo
Trial location(s) Quairading, WA
Assessing the impact of deep ripping and spading across three soil types near Quairading, Western Australia locations
Aims

To assess the impact of deep ripping and spading on crop yield across three different soil types near Quairading, WA.

Key messages
  • Deep ripping and spading increased yield between 68% and 107% at this site.
  • Combining deep ripping and spading can ameliorate multiple soil constraints.
  • Leaving untreated control strips can be used to quantify the yield differences of the treatment.
Lead research organisation agVivo
Host research organisation N/A
Trial funding source GRDC AVP00003
Related program N/A
Acknowledgments

The research undertaken as part of this project is made possible by the significant contributions of the grower and Tim Boyes who setup the demonstration sites. This assessment of the trial and report is funded by the GRDC through the Albany Region Cropping Solution Network.

GRDC Project Number: AVP00003-A


Other trial partners Map IQ
Download the trial report to view additional trial information

Method

Crop type Wheat
Treatment type(s)
  • Soil
  • Soil: Preparation
Trial type Demonstration
Trial design Unknown

Quairading 2017

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

Trial results Table 1: Grain Yield x Soil Type x Treatment

# Treatment 1
Treatment 2
Grain yield (t/ha)
1 Deep White Sand Rip + Spade 1.107
2 Deep White Sand Control 0.656
3 Deep Yellow Sand Rip + Spade 2.214
4 Deep Yellow Sand Control 1.066
5 Sand Gravel Duplex Rip + Spade 2.337
6 Sand Gravel Duplex Control 1.23

Grain yield t/ha


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Trial results Table 2: Average soil strength measurements from ripped and control plots as recorded by a cone penetrometer in August 2017.

# Treatment 1
Soil loosening depth (cm) Soil strength (kPa)
1 Control -5 988
2 Control -10 1257
3 Control -15 1828
4 Control -20 2593
5 Control -25 3319
6 Control -30 4048
7 Control -35 4027
8 Control -40 3655
9 Control -45 3266
10 Control -50 2928
11 Control -55 2628
12 Control -60 2417
13 Control -65 2269
14 Control -70 2198
15 Rip + Spade -5 160
16 Rip + Spade -10 639
17 Rip + Spade -15 824
18 Rip + Spade -20 953
19 Rip + Spade -25 1164
20 Rip + Spade -30 1510
21 Rip + Spade -35 1746
22 Rip + Spade -40 1890
23 Rip + Spade -45 1874
24 Rip + Spade -50 1978
25 Rip + Spade -55 2452
26 Rip + Spade -60 2467
27 Rip + Spade -65 2370
28 Rip + Spade -70 2449
29 Barrier -5 2500
30 Barrier -10 2500
31 Barrier -15 2500
32 Barrier -20 2500
33 Barrier -25 2500
34 Barrier -30 2500
35 Barrier -35 2500
36 Barrier -40 2500
37 Barrier -45 2500
38 Barrier -50 2500
39 Barrier -55 2500
40 Barrier -60 2500
41 Barrier -65 2500
42 Barrier -70 2500


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Quairading, WA Not specified
Derived trial site soil information
Australian Soil Classification Source
Trial site Soil order
Quairading, WA Chromosol
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

Derived climate information

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

Quairading 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.