The information contained in this publication is based on knowledge and understanding at the time of writing (June 2017) and may not be accurate, current or complete. The State of New South Wales (including the NSW Department of Industry), the author and the publisher take no responsibility, and will accept no liability, for the accuracy, currency, reliability or correctness of any information included in the document (including material provided by third parties). Readers should make their own inquiries and rely on their own advice when making decisions related to material contained in this publication. The product trade names in this publication are supplied on the understanding that no preference between equivalent products is intended and that the inclusion of a product name does not imply endorsement by the department over any equivalent product from another manufacturer.
Researcher(s) |
Helen Burns (NSW DPI) Clayton Butterly (La Trobe University) Jason Condon (Charles Sturt University) Tim Condon (Delta Agribusiness) Neil Coombes (NSW DPI) Richard Hayes (NSW DPI) Salahadin Khairo (NSW DPI) Guangdi Li (NSW DPI) Sergio Moroni (La Trobe University) Peter Ryan (CSIRO) Peter Sale (NSW DPI) Caixian Tang (NSW DPI) Ehsan Tavakkoli (NSW DPI) |
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Year(s) | 2016 |
Contributor | Department of Primary Industries NSW |
Trial location(s) |
Grafton, NSW
|
Further information | View external link |
The aim of the project is to manage subsoil acidity through innovative amelioration methods that increase productivity, profitability and sustainability on farms.
• Subsoil acidity is a major constraint to crop productivity in the high rainfall zone (500–800 mm) of southeastern Australia.
• More aggressive methods, such as deep ripping in conjunction with lime or other amendments, are being tested to achieve rapid changes to pH at depth.
• A long-term field experiment was established to study changes in the chemical, physical and biological properties of soil under vigorous soil amelioration techniques.
Lead research organisation | N/A |
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Host research organisation | N/A |
Trial funding source | GRDC DAN00206 |
Trial funding source | DPI NSW |
Related program |
Innovative approaches to managing subsoil acidity in the southern grain region |
Acknowledgments |
‘Innovative approaches to managing subsoil acidity in the southern grain region’ is a project with joint investment by NSW DPI and GRDC (DAN00206, 2015–20). Richard Lowrie, Adam Lowrie, Graeme Poile, Albert Oates, Andrew Price, Binbin Xu and Yan Jia (NSW Department of Primary Industries), and Dr Alek Zander and Kerry Schirmer (Charles Sturt University) provide quality technical support. |
Other trial partners | Not specified |
Crop types | Oilseed: Canola Cereal (Grain): Wheat Cereal (Grain): Barley Grain Legume: Faba beans |
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Treatment type(s) |
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Trial type | Experimental |
Trial design | Unknown |
Sow date | Not applicable |
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Harvest date | Not applicable |
Plot size | Not specified |
Plot replication | Not specified |
Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2017, available at |
Sow date | Not specified |
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Harvest date | Not specified |
Plot size | Not specified |
Plot replication | Not specified |
Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2017, available at |
Sow date | Not specified |
---|---|
Harvest date | Not specified |
Plot size | Not specified |
Plot replication | Not specified |
Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2017, available at |
Sow date | Not specified |
---|---|
Harvest date | Not specified |
Plot size | Not specified |
Plot replication | Not specified |
Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2017, available at |
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.