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Researcher(s) |
Brian Dunn Tina Dunn |
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Year(s) | 2017 |
Contributor | Department of Primary Industries NSW |
Trial location(s) |
Wagga Wagga, ACT
|
Further information | View external link |
As growers push for maximum grain yield, lodging is becoming a significant factor in rice production, increasing the time and cost of harvest and often resulting in significant yield loss andreduced grain quality.
Several factors influence lodging susceptibility including seasonal weather, variety, sowing method, nitrogen rate and timing, plant density, water depth, time of draining and wind or rain as the crop nears maturity. Some of these factors can be managed, thus providing the opportunity to reduce crop lodging potential.
• Lodging is becoming a significant problem in rice as growers push for maximum grain yields, but some varieties are more prone to lodging than others.
• Management practices such as drill sowing, reduced sowing rate, reduced pre-permanent water nitrogen rate and draining on time reduce the potential for lodging.
Lead research organisation |
Department of Primary Industries NSW |
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Host research organisation | N/A |
Trial funding source | DPI NSW PRJ-009790 |
Trial funding source | AgriFutures |
Related program | N/A |
Acknowledgments |
This experiment was part of the AgriFutures Australia project ‘Rice variety nitrogen and agronomic management’, PRJ-009790, 2015–20, with joint investment from NSW DPI and AgriFutures Australia. Thank you to Craig Hodges and Chris Dawe (Technical Assistants) for their assistance. |
Other trial partners | Not specified |
Crop type | Cereal (Grain): Rice |
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Treatment type(s) |
|
Trial type | Experimental |
Trial design | Unknown |
Sow date | Unknown |
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Harvest date | Unknown |
Plot size | Not specified |
Plot replication | Not specified |
Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2018, available at |
# |
Treatment 1
|
Plant height (cm) | Stem weight (g/cm) | Lodging (0-9) |
---|---|---|---|---|
1 | █ Doongara | 75 | 0.028 | 1 |
2 | █ Topaz | 81 | 0.022 | 1 |
3 | █ Reiziq | 810 | 0.024 | 1.1 |
4 | █ Shepra | 83 | 0.022 | 1.2 |
5 | █ Opus | 81 | 0.022 | 2 |
6 | █ Langi | 86 | 0.022 | 2.1 |
7 | █ Viand | 85 | 0.019 | 2.6 |
8 | █ YRK 5 | 93 | 0.018 | 5.6 |
9 | █ Koshihikari | 91 | 0.018 | 6.1 |
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.