| Researcher(s) |
Nick Poole Darcy Warren |
|---|---|
| Year(s) | 2021 |
| Contributor | Field Applied Research (FAR) Australia |
| Trial location(s) |
Hagley, TAS
|
To examine the yield potential of new spring germplasm grown under HYC Management packages against spring controls in an early spring sowing window.
The highest yielding cultivar was RGT Planet at 10.84t/ha while many other spring cultivars yielded similarly including Rosalind.
Day length sensitive cultivars such as Laperouse and Minotaur yielded 8.24 and 9.65t/ha respectively.
The older cultivar Westminster 8.65t/ha is now significantly outclassed.
Laureate’s performance was lower than 2020 at 9.93t/ha in 2021, however this was likely due to increased Nitrogen and lodging which will be discussed in the G*E*M trial.
Other new variety commercial releases such as Fandaga yielded competitive with Planet.
Grain protein levels were all above 11% except for AGTB0244.
Rotation position: 1st cereal after Poppies
Soil type: Chromosol
| Lead research organisation |
Field Applied Research (FAR) Australia |
|---|---|
| Host research organisation | N/A |
| Trial funding source | GRDC FAR2004-002SAX |
| Related program |
FAR Hyper Yielding Crops 2020-2022 |
| Acknowledgments | N/A |
| Other trial partners | Not specified |
| Crop type | Cereal (Grain): Barley |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Randomised,Replicated,Blocked |
| Sow rate or Target density | 300 seeds/m2 |
|---|---|
| Sow date | 8 September 2021 |
| Harvest date | 20/1/2022 (1st Harvest Date) to 4/02/2022 (2nd Harvest Date) |
| Plot size | Not specified |
| Plot replication | Not specified |
| Fertiliser |
Sowing Fertiliser: 100kg MAP/ha Nitrogen: 1 Oct-160kg N/ha |
| Fungicide |
GS00 Systiva |
| Seed treatment | Pontiac |
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.
