Birchip Cropping Group – Phosphorus use in the Wimmera Mallee
Project Profile
| Name of Project | Tools for efficient phosphorus use in the Wimmera Mallee |
| Name of group(s) involved | Birchip Cropping Group |
| Location | Birchip |
| State | Victoria |
| NRM Region | Mallee |
| What industry does the group belong to? | Grains |
| Corporate Partners involved | Woolworths |
| Level of Funding from LAL | $21,000 |
| Funding from other sources | $20,000 |
Issues
Consecutive years of below average rainfall (including five droughts in the last seven seasons) and an increase in the cost of fertiliser has resulted in a large reduction in fertiliser being applied by grain producers at sowing. A concern within the industry is that this reduction in fertiliser use may leave growers facing potential yield penalties. Growers will require accurate tools to help support their fertiliser decisions to ensure a higher return on investment is made from nutrient application into the future.
This project aimed to validate a new soil testing tool (Diffusive Gradient Thin Films (DGT)), by conducting a number of paddock surveys to determine where P responses are likely and the magnitude of these responses in terms of increase in grain yields. It is anticipated that growers will be able to use the results from this survey to maximise the return on investment from fertiliser application.
Project Detail
| Background to Project | The Birchip Cropping Group is a not-for-profit agricultural research organisation. The group’s mission is to improve the prosperity of farmers and rural communities. This is achieved via a range of large scale research and demonstration programs which are supported by an extensive and well targeted extension and communication program.Previous work supported by Grains Research and Development Corporation (GRDC) has shown the new soil test DGT is an improved alternative to Colwell P and other soil tests for predicting P availability to wheat, canola, barley and peas both in the glasshouse and in the field. Based on improved soil testing chemistry DGT has the potential to accurately predict plant response to P and therefore P fertiliser requirements while assessment is independent of soil type and other soil characteristics. DGT is not yet commercialised and needs to go through several years of validation prior to the test being available to growers.
In 2008, through collaboration between the University of Adelaide and the BCG, a survey was performed in the Wimmera and Mallee region of Victoria with the objective to determine the P-responsiveness of paddocks and compare whether those responses were correctly predicted by either Colwell P or DGT. The survey simply required growers to have a control strip (no fertiliser applied for one seeder width across the paddock) in their paddock by turning off their fertiliser input. Soil samples at sowing, dry matter (in-crop) and grain yield were taken at each site
The survey found that the new DGT method correctly predicted 89% of responses, while the Colwell P method only predicted 74% however, incorrectly predicted a highly deficient paddock. The survey also found that of the relatively small sample size, 35% of paddocks were responsive to applied-P, which highlights the importance of soil testing. With a superior predictive ability, the DGT method has greater potential to assist growers to maximize their production and ensure a financial return from a P application.
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| Key Objectives | •Objective 1: Evaluate the DGT method for increasing predictive capacity of P responsiveness in grain crops through participatory action research •Objective 2: Report results to the wider regional grains community |
| Description of Project | The project focused on further validation of the DGT test through a more comprehensive survey across the Wimmera Mallee region of Victoria.The BCG collaborated with the University of Adelaide and supervised the data collection and communication with farmers.
A paddock survey was undertaken in 2009 with BCG farmers keen to participate. Each grower volunteered to sow control strips (no P fertiliser) in a particular paddock on their property. Each of these paddocks required an initial soil sample taken from within the control strip and analysed for Colwell P and DGT. The in-crop assessment of dry matter (end of tillering) occurred over a 10 day period. Depending on the farmer’s equipment, grain yield was measured through yield monitors or weigh bins. Grain quality (protein, moisture and screenings) was also measured. The fertiliser response was assessed by comparing adjacent field trial strips.
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| Project Outcomes | Over 40 farmers participated in the project. The project provided a unique opportunity to collate the levels of phosphorus across the Wimmera Mallee region. Currently, the value of soil testing for phosphorus is not seen as a key driver in deciding fertiliser rates and management. For the second year of evaluating the the two soil tests (Colwell and DGT), the DGT test improved the prediction of phosphorus responses by more than 15% above the Colwell P method (plus Phosphorus Buffering Index, PBI). On average 90% of paddocks were correctly identified as either responsive (deficient) or non-responsive (adequate) using the DGT method. This was signficantly better than if the Colwell P method had been used. There was poor correlation between dry matter or grain yield and Colwell P, though when combined with PBI, responsiveness in approximately 70% of paddocks was correctly predicted.One of the key findings of this survey was that a number of paddocks failed to maximise early vegetative growth due to P deficiency. The implications of comparing “relatively” low P rates is that yield differences may only be slight, which could be misinterpreted as no economical response. Further investigation led to a relationship being derived between DGT and PBI for determining the rate required to maximise biomass. Though this is not going to be the aim of every farmer, especially in the Mallee, it will mean that economically there is no advantage applying above the determined rate. This will reduce the amount of unecessary fertiliser expenditure, especially for those farmers employing a maintenance rate strategy.
Both surveys in 2008 and 2009 have demonstrated the potential benefits of DGT as a predictive tool for crop response to applied P and to improve fertiliser decisions. In both years, DGT has outperformed the commonly used Colwell P test. IThe PBI test improves the Colwell P method to a degree where a predicted success rate can be achieved.
Utilising DGT, PBI and combining information from replicated field trials the amounts of P fertiliser required to maximise yields can be estimated. Despite these findings, DGT will not be commercially available until 2012. Subsequently, using Colwell P and PBI together is currently the best tool available. Given Colwell P and PBI can account for 50 – 60% of responses, it indicates that decisions should not be made on these values alone. Paddock history and P-balances would further improve the decision process and allow fertiliser rates to be refined.
Local consultants and agribusiness were informed about the findings at the field days and presentation at the BCG Trials Review day. Information regarding the project was also presented at the BCG Grains and Research Expo (2nd July). The work has increased the links with agribusiness further as providing greater confidence in the current commercially available testing methods and prominsing results from the DGT test.
The project was very successful in demonstrating greater confidence in the results of soil tests (e.g. Colwell P), but also showed the new P test DGT performed exceptionally well. The impact for growers is that the survey findings has given all participants the greater confidence in soil tests for predicting P responses and knowing when P-rates can be modified.
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Photography
John Ferrier, Jil Jil, participated in the phosphorus survey. His field trial crop of Yitpi wheat is shown below. “The new P test has been the most exciting technology currently being developed. We had three paddocks trials this year and it worked really well on all of them. I think it has great promise and will enable me to apply P where it is needed, significantly reducing my input costs.”











