Impact of AMF on Summer Crops (Cotton)

2019 - 2020
CC BY 4.0

Research organisation
Funding source

Trial details

Researcher(s) Branco Duric
Year(s) 2019 - 2020
Contributor Northern Grower Alliance
Trial location(s) Mullaley, NSW
Impact of AMF on Summer Crops (Cotton) locations
Aims

To evaluate the impact of management practices on AMF
To evaluate the impact of AMF on cotton performance
To screen management options for use in low AMF situations

Key messages

Canola provides a number of benefits in our farming system. It provides an early sown crop option and a disease break crop for a range of cereals and pulses including being a non-host of the root lesion nematode Pratylenchus thornei.
One of the challenges is that canola is also a non-host of arbuscular mycorrhiza fungi (AMF). AMF are obligate symbionts and require the presence of a plant host for reproduction. AMF provide nutrients such as P and Zn to the plant, the plant hosts the AMF and provides carbohydrates.
AMF are important for crop production in winter crops such as linseed and faba beans and a range of key summer crops including cotton, sorghum, mung bean, maize and sunflower. The absence, or low levels, of AMF can cause reduced growth and yield in these crops, often described as long fallow disorder.
In addition, the deep-rooted habit of canola often dries out the soil profile in the year of production. In the northern region, this means a
longer fallow is often required after the canola phase to replenish soil moisture profiles. The combination of a non-host crop followed by an extended fallow can mean very low levels of AMF are present.
In regions such as the Liverpool Plains where canola production is more reliable, crop productions issues are often evident when a summer crop is grown following a canola phase. This trial was conducted to evaluate the impact of a range of management options to limit the impact of low AMF following canola and to assess the performance on sorghum. Separate reports examine the impact on cotton and mung bean.

Lead research organisation Northern Grower Alliance
Host research organisation N/A
Trial funding source GRDC NGA2009-002RTX
Related program N/A
Acknowledgments N/A
Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop types Cereal (Grain): Wheat Oilseed: Canola Cereal (Grain): Barley Other crop: Cotton
Treatment type(s)
  • Crop : Type
  • Soil Improvement : Method
Trial type Experimental
Trial design Randomised,Replicated

Mullaley 2019 Wheat

Sow rate or Target density 50 kg/ha
Sow date 10 May 2019
Harvest date 1 November 2019
Trial design method SPD Split Plot Design
Plot size 4m x 12m
Plot replication 4

Mullaley 2019 Canola

Sow rate or Target density 2.5 kg/ha
Sow date 10 May 2019
Harvest date 1 November 2019
Trial design method SPD Split Plot Design
Plot size 4m x 12m
Plot replication 4

Mullaley 2020 Barley

Sow rate or Target density 80 kg/ha
Sow date 12 March 2020
Harvest date 28 April 2020
Trial design method SPD Split Plot Design
Plot size 4m x 12m
Plot replication 4

Mullaley 2020 Cotton

Sow rate or Target density 12 kg/ha
Sow date 27 November 2020
Harvest date Unknown
Trial design method SPD Split Plot Design
Plot size 4m x 12m
Plot replication 4
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
Mullaley, NSW Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Mullaley, NSW Vertosol

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.

Mullaley NSW

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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

2019 trial report



Trial last modified: 25-03-2026 16:24pm AEST