| Researcher(s) |
Trent Potter |
|---|---|
| Year(s) | 2005 |
| Contributor | Southern Farming Systems |
| Trial location(s) |
Conmurra, SA
Frances, SA |
The objective of these trials was to evaluate the yield and quality of a range of barley varieties and breeders lines.
At Conmurra there was significant net blotch. In this case GairdnerPlus produced greater grain yields of better quality grain than Gairdner. No other diseases were recorded. At Frances, no significant disease was noted and higher yielding varieties were
Capstan, Flagship and Gairdner.
| Lead research organisation | N/A |
|---|---|
| Host research organisation | N/A |
| Trial funding source | GRDC |
| Related program | N/A |
| Acknowledgments |
F Funded by GRDC. Thanks to Peter Hocking at Conmurra and Peter Hannaford at Frances who supplied land for these trials. |
| Other trial partners | Not specified |
| Crop type | Cereal (Grain): Barley |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Replicated |
| Sow date | 2 June 2005 |
|---|---|
| Harvest date | Not specified |
| Plot size | 1.2m x 8m |
| Plot replication | Not specified |
| Sow date | 26 June 2005 |
|---|---|
| Harvest date | Not specified |
| Plot size | 1.2m x 8m |
| Plot replication | Not specified |
| # | Variety |
Protein (%) | Screenings (%) | Grain yield (t/ha) | Test weight (kg/hL) | 1000 grain weight (g) |
|---|---|---|---|---|---|---|
| 1 | █ AGGIN | 10 | 0.7 | 4.173 | 69.5 | 44.5 |
| 2 | █ Capstan | 11.9 | 1.1 | 4.132 | 69.5 | 47.4 |
| 3 | █ AGSWPrefect | 9.5 | 0.6 | 4.09 | 70.83 | 42.9 |
| 4 | █ Flagship | 10.3 | 0.8 | 3.962 | 71 | 50.3 |
| 5 | █ Gairdner | 9.7 | 0.7 | 3.944 | 71.08 | 48.3 |
| 6 | █ Mackay | 9.7 | 1.3 | 3.88 | 70.5 | 45.3 |
| 7 | █ Baudin | 10 | 0.4 | 3.828 | 71.08 | 44.3 |
| 8 | █ AGSWAntto | 9.8 | 0.5 | 3.828 | 71 | 44.4 |
| 9 | █ SloopSA | 11.5 | 0.6 | 3.815 | 70.33 | 47.7 |
| 10 | █ Sloop | 11.1 | 0.2 | 3.78 | 70.5 | 46.7 |
| 11 | █ GairdnerPlus | 9.9 | 0.6 | 3.755 | 70.83 | 46.9 |
| 12 | █ Dhow | 10.7 | 0.5 | 3.697 | 68 | 47.2 |
| 13 | █ Maritime | 10.5 | 0.2 | 3.628 | 70 | 50.5 |
| 14 | █ WI3416 | 9.7 | 0.5 | 3.615 | 66.33 | 51.3 |
| 15 | █ SloopVic | 11.3 | 0.5 | 3.601 | 69.5 | 48.2 |
| 16 | █ Schooner | 11.3 | 0.5 | 3.552 | 71.33 | 45.9 |
| 17 | █ Barque | 10.9 | 0.3 | 3.471 | 68.33 | 50.5 |
| 18 | █ Keel | 10.7 | 0.6 | 3.166 | 69.17 | 48.3 |
| 19 | █ Torrens | 13.7 | 1.7 | 2.941 | 74 | 43.4 |
| # | Variety |
Protein (%) | Screenings (%) | Grain yield (t/ha) | Test weight (kg/hL) | 1000 grain weight (g) |
|---|---|---|---|---|---|---|
| 1 | █ Gs05Fb1 | 10 | 2.4 | 5.161 | 69.8 | 42.3 |
| 2 | █ Baudin | 9.7 | 3.1 | 4.807 | 68.7 | 41.2 |
| 3 | █ Capstan | 9.9 | 5.3 | 4.735 | 67 | 42.6 |
| 4 | █ WI3416 | 9.2 | 1.7 | 4.638 | 69.1 | 48.2 |
| 5 | █ Mackay | 9.9 | 6.1 | 4.581 | 68.5 | 39.8 |
| 6 | █ GS05MB2 | 10.1 | 3.4 | 4.556 | 66.7 | 36.5 |
| 7 | █ Flagship | 10.2 | 3.1 | 4.552 | 70.3 | 48.6 |
| 8 | █ GairdnerPlus | 10.1 | 2.3 | 4.244 | 69.3 | 44.2 |
| 9 | █ Gs05Mb1 | 9.9 | 2.1 | 4.234 | 67.8 | 41.1 |
| 10 | █ AG-Gin | 10.1 | 3 | 4.173 | 67.1 | 42.7 |
| 11 | █ SloopSA | 10.6 | 1.8 | 4.163 | 69.1 | 47.1 |
| 12 | █ Sloop | 10.6 | 1.6 | 4.117 | 69.6 | 45 |
| 13 | █ AGSW-Prefect | 10 | 2.2 | 4.104 | 68.7 | 40.5 |
| 14 | █ Dhow | 11.1 | 3.2 | 3.974 | 64.2 | 41.6 |
| 15 | █ Maritime | 9.9 | 2.3 | 3.977 | 67.3 | 47.8 |
| 16 | █ Buloke | 10.1 | 5 | 3.963 | 66 | 45.1 |
| 17 | █ AGSW-Antto | 10.1 | 5.6 | 3.914 | 68.8 | 39.4 |
| 18 | █ Gs05Fb2 | 10.1 | 20.2 | 3.879 | 60.4 | 35 |
| 19 | █ Gs05Fb3 | 10.3 | 8.6 | 3.85 | 65.7 | 36.9 |
| 20 | █ Schooner | 10.3 | 3.7 | 3.761 | 68.3 | 40.1 |
| 21 | █ Keel | 10.7 | 2.5 | 3.757 | 67.5 | 45.6 |
| 22 | █ Torrens | 11.6 | 2.3 | 3.721 | 72.4 | 44.9 |
| 23 | █ SloopVic | 11.2 | 3.1 | 3.51 | 68 | 44.1 |
| 24 | █ Barque | 10.8 | 3.8 | 3.455 | 70 | 43.5 |
| 25 | █ Gairdner | 10.1 | 17.8 | 3.271 | 65.3 | 37.4 |
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.
