Incorporating Lime to depth on duplex Wheatbelt soils

2020
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) N/A
Contact email agrec@faceygroup.org.au
Year(s) 2020
Contributor Facey Group
Trial location(s) Yealering, WA
Incorporating Lime to depth on duplex Wheatbelt soils locations
Aims

The aim of this trial is to quantify the value of lime applications using different incorporation methods and compare the economic and agronomic returns of each. This trial also includes an application of a rapidly acidifying Elemental Sulphur to demonstrate how soils and crops will perform 10-years into the future if no action is taken to maintain pH levels. The trial also aims to analyse the interactions between each incorporation technique and its effects on ameliorating other crop constraints.

The objective is to give growers a greater understanding of different methods of lime incorporation and the most cost-effective practice locally and to extend on these findings with other research being conducted on varying soil types throughout the state, so that growers can make informed decisions for implementing their own liming strategy.

Key messages
  • Lime application rate had the greatest influence on soil pH in the year of application.
  • The highest lime application of 6 t/ha in combination with spading resulted in the greatest increase in pH across the trial, although at depths of 20-30cm and 30-40cm, 2t/ha, 4t/ha and 6t/ha of lime sand produced similar increases in pH.
  • Higher rates of lime application rate did not increase germination, biomass or grain yield of the cereal crops trialed in the experiment.
  • Deep ripping, followed closely by spading, increased grain yield compared to top-dressing in 2020.
Lead research organisation Facey Group
Host research organisation N/A
Trial funding source GRDC 9176014
Related program N/A
Acknowledgments

The GRDC for investing in and supporting this project; SAGI WEST for providing the statistical data analysis and reporting and Craig Jespersen for hosting, installing and maintaining the trial site and Nick McKenna from Planfarm for conducting the economic analysis.


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

Method

Crop type Cereal (Grain): Barley
Treatment type(s)
  • Soil Improvement
  • Soil Improvement: Application Method
Trial type Demonstration
Trial design Replicated

Yealering 2020

Sow rate or Target density 70 kg/ha
Sow date 20 May 2020
Harvest date Unknown
Plot size 12.4m x 12m
Plot replication 3
Psuedoreplication Not specified
Plot randomisation N
Fertiliser

Vigour 85kgs, UAN 50ltrs, Urea 80kg

Herbicide

19/5/2020 – 2.8L/ha trifluralin (IBS) Paraquat (1.6ltrs)

26/6/2020 Jaguar .7L, LVE MCPA .35l, Intervix 375mls, Hasten 1%

Insecticide

19/5/2020 – 0.1L/ha Alpha Cypermethrin 100EC + 0.1L/ha Chlorpyrifos 500EC

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
Yealering, WA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Yealering, WA Sodosol
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.

Yealering WA

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 report and links

2020 trial report



Trial last modified: 26-09-2024 15:25pm AEST