| Researcher(s) |
Doug Sands |
|---|---|
| Year(s) | 2017 - 2018 |
| Contributor | Queensland Department of Agriculture and Fisheries |
| Trial location(s) |
Emerald, QLD
|
This experiment has attempted to use rainfall timing (imitated by overhead irrigation) to mitigate the negative weather impacts on
dry matter production both before and after flowering in an early and late summer TOS. A wide gap between TOS was deliberately
used to create the largest contrast in weather conditions that the crop would experience and then monitor how the plant’s physiological
development changes in relation to changing soil water conditions.
1. In dryland conditions, planting in February increased yield of dryland mungbeans by 475 kg/ha over December planting.
2. Irrigation treatments increased mungbean yields by a maximum of 298 kg/ha and 653 kg/ha (planted in February and December respectively).
3. Application of water during mid pod-fill increased grain yield in the December planting but not the February planting.
| Lead research organisation |
Queensland Department of Agriculture and Fisheries |
|---|---|
| Host research organisation | N/A |
| Trial funding source | GRDC UQ00063 |
| Related program | N/A |
| Acknowledgments |
The Queensland Pulse Agronomy Initiative (UQ00063) is funded by the Grains Research |
| Other trial partners | Not specified |
| Crop type | Grain Legume: Mung beans |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Blocked |
| Sow date | sowing dates varied - please see report |
|---|---|
| Harvest date | Not specified |
| Plot size | Not specified |
| Plot replication | Not specified |
| Fertiliser |
Granulock® SuPreme Z™ at planting (30 kg/ha) |
| Sow date | Not specified |
|---|---|
| Harvest date | Not specified |
| Plot size | Not specified |
| Plot replication | Not specified |
| Fertiliser | Not specified |
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.