Researcher(s) |
Nathan Dovey |
---|---|
Contact email | phillip.mackie@scfarmers.org.au |
Contact phone | 0437120891 |
Year(s) | 2019 |
Contributor | Stirlings to Coast Farmers |
Trial location(s) |
Mount Barker, WA
|
100% of Albany and Esperance port zone growers who frequently experience waterlogging will know if ripping and/or summer/cover crops are viable tools to improve crop establishment, crop rooting depth, and yield in a waterlogging year on their property.
The growing season rainfall in 2019 was below average at Perillup, and the summer cropping demonstration did not suffer from water-logging.
Grain growers in this region believe that the soil drying effects from growing summer crops has the greatest potential benefit to winter cropping yields.
In 2019, there was a 770kg/ha barley yield increase above the control from the plots where cowpea was grown in the summer.
There was a 470kg/ha decline in winter barley yield in the plot that was planted to canola between January 30 and May 9, 2019.
Nutritional requirements of summer crops need to be considered when selecting species. Cowpeas fixed useful nitrogen in the 90 growing days.
Lead research organisation |
Southern DIRT |
---|---|
Host research organisation |
Stirlings to Coast Farmers |
Trial funding source | GRDC 9176156 |
Related program | N/A |
Acknowledgments | N/A |
Other trial partners | Not specified |
Crop types | Oilseed: Canola Cereal (Grain): Millet Cereal (Grain): Sorghum Grain Legume: Cowpeas |
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Treatment type(s) |
|
Trial type | Experimental |
Trial design | Unreplicated |
Sow rate or Target density | 5 kg/ha |
---|---|
Sowing machinery |
Air-seeder |
Sow date | 30 January 2019 |
Harvest date | Unknown |
Plot size | 10.97m x 250m |
Plot replication | 1 |
Fertiliser |
Summer crops received 60kg/ha of a MAPSZC:MOP Mixture (Ratio 5:1) |
Sow rate or Target density | 6 kg/ha |
---|---|
Sowing machinery |
Air-seeder |
Sow date | 30 January 2019 |
Harvest date | Not specified |
Plot size | 10.97m x 250m |
Plot replication | 1 |
Fertiliser | Not specified |
Sow rate or Target density | 6 kg/ha |
---|---|
Sowing machinery |
Air-seeder |
Sow date | 30 January 2019 |
Harvest date | Not specified |
Plot size | 10.97m x 250m |
Plot replication | 1 |
Fertiliser | Not specified |
Sow rate or Target density | 20 kg/ha |
---|---|
Sowing machinery |
Air-seeder |
Sow date | 30 January 2019 |
Harvest date | Not specified |
Plot size | 10.97m x 250m |
Plot replication | 1 |
Fertiliser | Not specified |
# |
Treatment 1
|
Grain yield (t/ha) |
---|---|---|
1 | █ Cowpea Ebony | 8.15 |
2 | █ Millett Shirohie | 7.3 |
3 | █ Sorghum Sprint | 7.38 |
4 | █ Canola Hyola 970 | 6.91 |
5 | █ Control wheat stubble | 7.38 |
@T1: (17-04-2019) | @T2: (03-07-2019) | @T3: (12-08-2019) | @T4: (22-08-2019) | @T5: (21-10-2019) | ||
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# |
Treatment 1
|
NDVI (.) | NDVI (.) | NDVI (.) | NDVI (.) | NDVI (.) |
1 | █ Cowpea Ebony | 0.64 | 0.66 | 0.7 | 0.7 | 0.62 |
1 | █ Millett Shirohie | 0.58 | 0.65 | 0.69 | 0.7 | 0.61 |
1 | █ Sorghum Sprint | 0.63 | 0.64 | 0.69 | 0.7 | 0.62 |
1 | █ Canola Hyola 970 | 0.57 | 0.62 | 0.68 | 0.7 | 0.62 |
1 | █ Control wheat stubble | 0.6 | 0.61 | 0.69 | 0.7 | 0.65 |
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Treatment 1
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pH CaCl2 (pH) | NH4 (mg/kg) | Colwell Potassium (mg/kg) | Organic carbon (%) | Colwell phosphorus (PBI) | Electrical conductivity (dS/m) | NO3 (mg/kg) | Colwell phosphorus (mg/kg) | Sulphur (mg/kg) |
---|---|---|---|---|---|---|---|---|---|---|
1 | █ Site Avg (30/1/2019) | 5.3 | 42 | NA | 0.201 | 40 | 6.3 | 3.8 | 1 | 36 |
2 | █ Canola (9/5/2019 | 5.8 | 35 | 32 | 0.138 | 35 | 6.4 | 3 | 8 | 24 |
3 | █ Cowpea (9/5/2019 | 5.7 | 63 | 52 | 0.23 | 45 | 6.3 | 3.4 | 2.5 | 56 |
4 | █ Sorghum (9/5/2019 | 5.8 | 46 | 68 | 0.278 | 56 | 6.4 | 3.2 | 2 | 50 |
5 | █ Millet (9/5/2019 | 5.6 | 39 | 32 | 0.153 | 39 | 6.2 | 3 | 2 | 33 |
6 | █ Average (9/5/2019 | 5.7 | 46 | 46 | 0.2 | 43 | 6.3 | 3.1 | 4 | 40 |
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.