| Researcher(s) |
Amanda Cook (SARDI) Ian Richter (SARDI) |
|---|---|
| Year(s) | 2017 |
| Contributor | Eyre Peninsula Agricultural Research Foundation |
| Trial location(s) |
Minnipa Agricultural Centre, SA
|
| Related trials |
The GRDC project ‘Maintaining profitable farming systems with retained stubble - upper Eyre Peninsula’ aims to produce sustainable management guidelines to control pests, weeds and diseases while retaining stubble to maintain or improve soil health, and reduce exposure to wind erosion. The major outcome to be achieved is increased knowledge and skills allowing farmers and advisers to improve farm profitability while retaining stubble in farming systems on upper Eyre Peninsula (EP).
The Minnipa Agricultural Centre (MAC) S7 stubble retention trial was established to maintain or improve crop production through applying alternative weed, disease and pest control options in pasture wheat rotations in the presence of crop residues. The trial was established in 2013 with wheat and different stubble treatments imposed at harvest annually. It was sown either inter row or on row in 2014-17 to determine the impacts of stubble management on crop production, weeds, disease and pests in low rainfall farming systems.
Standing stubble cut low (15-17 cm) resulted in the highest level of stubble being maintained into the following season.
Stubble management and seeding position had little effect on grass weeds.
Snail numbers were higher in standing stubble cut high (30 cm) and stubble removed had the lowest numbers.
Stubbles can be estimated using 1.3-2.8 times the grain yield, but it may underestimate the stubble in an average season following a good year, or after a very poor season.
In many low rainfall farming systems livestock are still a very important part of the farming system and the level of stubble carryover is reduced after grazing.
Stubble management and seeding position have not impacted greatly on crop production, weeds, disease and pests over three years with relatively high stubble loads for low rainfall farming systems.
| Lead research organisation |
Eyre Peninsula Agricultural Research Foundation |
|---|---|
| Host research organisation |
SARDI Minnipa Agricultural Centre |
| Trial funding source | GRDC EPF00001 |
| Related program |
Maintaining profitable farming systems with retained stubble |
| Acknowledgments |
Thank you to Ian Richter, Brett Hay, Rochelle Wheaton and Katrina Brands for processing samples. Trial funded by GRDC Maintaining profitable farming systems with retained stubble - upper Eyre Peninsula (EPF00001). |
| Other trial partners | Not specified |
| Crop type | Cereal (Grain): Barley |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Replicated |
| Sowing machinery |
Plot size |
|---|---|
| Sow date | 16 May 2017 |
| Harvest date | 8 November 2017 |
| Plot size | 18m x 2m |
| Plot replication | 3 |
| Fertiliser |
base fertiliser of DAP @ 60 kg/ha treated with flutriafol. In 2015-16 nitrogen treatments were added; Nil or 40 kg/ha urea at seeding and extra depending on seasonal conditions. |
| Fungicide |
Flutriafol on seed |
| Seed treatment | Flutriafol |
| # |
Treatment 1
|
Ryegrass density (plants/m2) | Grain yield (t/ha) | Screenings (%) | Dry matter (t/ha) | Protein (%) |
|---|---|---|---|---|---|---|
| 1 | █ Stubble standing high | 1.3 | 0.37 | 9 | 0.83 | 13.9 |
| 2 | █ Stubble standing low | 1.4 | 0.41 | 8.8 | 0.89 | 13.7 |
| 3 | █ Stubble cultivated | 1.1 | 0.42 | 8.9 | 0.93 | 14.1 |
| 4 | █ Stubble removed | 0.6 | 0.36 | 9 | 0.73 | 14.3 |
| 5 | █ Inter row | 1 | 0.39 | 9.3 | 0.87 | 14 |
| 6 | █ On row | 1.1 | 0.39 | 8.6 | 0.82 | 14 |
| 7 | █ *No extra N | 0.9 | 0.39 | 8.5 | 0.86 | 13.9 |
| 8 | █ *60 kg/ha N | 1.2 | 0.39 | 9.3 | 0.83 | 14.1 |
| Rainfall avg ann (mm) | 325mm |
|---|---|
| Rainfall avg gsr (mm) | 242mm |
| Rainfall trial total (mm) | 281mm |
| Rainfall trial gsr (mm) | 155mm |
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.
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