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Researcher(s) |
Rohan Brill Daniel Johnston Tony Napier |
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Year(s) | 2019 |
Contributor | Department of Primary Industries NSW |
Trial location(s) |
Leeton, NSW
|
Further information | View external link |
This experiment was designed to increase the understanding of:
• canola yield potential in the high yielding irrigated zone of southern NSW
• the effect of climatic stress at different canola growth stages.
• In a season characterised by low frost severity, Nuseed Diamond was the highest yielding variety for all three sowing dates.
• In a low frost severity season, earlier sowing on 27 March and 11 April achieved a higher grain yield compared with the later sowing on 30 April.
• Triazine tolerant varieties were generally lower yielding compared with other varieties with a similar phenology.
• Winter type canola yield and oil performance were comparable with spring types when sown before mid April and could be worth considering as a dual-purpose crop due to the additional value generated from grazing.
Lead research organisation | N/A |
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Host research organisation | N/A |
Trial funding source | GRDC BLG107 |
Trial funding source | DPI NSW |
Related program | N/A |
Acknowledgments |
This experiment is part of the ‘High yielding canola’ project, BLG107, 2017–20, with joint investment by GRDC and NSW DPI. |
Other trial partners | Not specified |
Crop type | Oilseed: Canola |
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Treatment type(s) |
|
Trial type | Experimental |
Trial design | Unknown |
Sow date | Multiple - please see report |
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Harvest date | Unknown |
Plot size | Not specified |
Plot replication | Not specified |
Fertiliser |
• Mono-ammonium phosphate (MAP) at 200 kg/ha (20 kg N/ha and 44 kg P/ha). • Gran-Am at 200 kg/ha (41 kg N/ha and 48 kg sulfur (S)/ha). • Urea at 240 kg/ha (110 kg N/ha). |
Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2020, 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.