Researcher(s) |
Simon Craig (BCG) Ben Jones (Mallee Focus) Linda Walters (BCG) |
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Year(s) | 2013 |
Contributor | Birchip Cropping Group |
Trial location(s) |
Nhill, VIC
|
To determine the competitiveness of current and new barley varieties so management packages can be developed for growers to use.
Wimmera had the greatest yield loss in the presence of weeds and produced the highest weed yield. Hindmarsh also produced the same weed yield. Both of these varieties should not be sown into weedy paddocks unless there is a good management strategy. Scope, Buloke and Compass were identified as very competitive varieties, with the least amount of yield loss and weed seed production. Generally, the presence of weeds reduced barley yields by 1.4t/ha on a 5.4t/ha crop (mean of all varieties).
Lead research organisation | N/A |
---|---|
Host research organisation | N/A |
Trial funding source | GRDC DAN00173 |
Related program |
Management of Barley and Barley Cultivars for the Southern Region |
Acknowledgments |
This trial was funded by GRDC through the “Barley agronomy in the southern Australia 2013-2018” (Project code: DAN00173) |
Other trial partners | Not specified |
Crop type | Cereal (Grain): Barley |
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Treatment type(s) |
|
Trial type | Experimental |
Trial design | Replicated |
Sow date | 22 April 2013 |
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Harvest date | Not specified |
Plot size | Not specified |
Plot replication | 3 |
Fertiliser |
23 April - Granulock Supreme Z (55kg/ha) 11 July - Urea (90kg/ha) 17 July - Urea (90kg/ha) 20 August - Urea (90kg/ha) |
Herbicide |
28 June - Velocity (670ml/ha) + Lontrel (100ml/ha) + Hasten (1% v/v) |
Insecticide |
30 September - Alpha Duo (200ml/ha) |
Fungicide |
23 April - Intake Hi Load Gold (200ml/ha) (on fertiliser) 11 September - Prosaro (150ml/ha) + BS1000 (0.25% v/v) 25 September - Prosaro (150ml/ha) + BS1000 (0.25% v/v) |
@T1: GS65 | @T2: GS80 | |||||||
---|---|---|---|---|---|---|---|---|
# | Variety |
Treatment 1
|
Weed yield (t/ha) | Grain yield (t/ha) | Barley stems (m2) | Plant density (plants/m2) | Biomass (t/ha) | NDVI (.) |
1 | █ Average | █ Weed Free | 5.41 | 196 | 120 | 6.02 | 0.44 | |
1 | █ Average | █ Weeds | 3.99 | 137 | 118 | 3.96 | 0.4 | |
1 | █ Average | █ Weed Free | 5.35 | |||||
2 | █ Average | █ Weed Free | 5.57 | |||||
2 | █ Average | █ Weed Free | 6.08 | |||||
2 | █ Average | █ Weed Free | 5.87 | |||||
3 | █ Bass | █ Weed Free | 5.27 | |||||
4 | █ Buloke | █ Weed Free | 5.08 | |||||
5 | █ Commander | █ Weed Free | 5.11 | |||||
6 | █ Compass | █ Weed Free | 5.29 | |||||
7 | █ Fathom | █ Weed Free | 5.44 | |||||
8 | █ Flinders | █ Weed Free | 6.03 | |||||
9 | █ Gairdner | █ Weed Free | 5.77 | |||||
10 | █ Granger | █ Weed Free | 5.7 | |||||
11 | █ Hindmarsh | █ Weed Free | 5.03 | |||||
12 | █ LaTrobe | █ Weed Free | 5.12 | |||||
13 | █ Maritime | █ Weed Free | 4.7 | |||||
14 | █ Navigator | █ Weed Free | 5.14 | |||||
15 | █ Scope | █ Weed Free | 5.74 | |||||
16 | █ Skipper | █ Weed Free | 5.12 | |||||
17 | █ Sloop Sa | █ Weeds | 1.41 | 4.16 | ||||
18 | █ Westminster | █ Weeds | 1.08 | 4.73 | ||||
19 | █ Wimmera | █ Weeds | 1.35 | 4.76 | ||||
20 | █ Yarra | █ Weeds | 0.99 | 5 | ||||
21 | █ Bass | █ Weeds | 1.39 | 4.19 | ||||
22 | █ Buloke | █ Weeds | 2.08 | 3.37 | ||||
23 | █ Commander | █ Weeds | 1.68 | 3.59 | ||||
24 | █ Compass | █ Weeds | 1.68 | 3.84 | ||||
25 | █ Fathom | █ Weeds | 2.09 | 3.72 | ||||
26 | █ Flinders | █ Weeds | 1.53 | 4.44 | ||||
27 | █ Gairdner | █ Weeds | 1.16 | 4.41 | ||||
28 | █ Granger | █ Weeds | 1.67 | 4.03 | ||||
29 | █ Hindmarsh | █ Weeds | 1.1 | 4.42 | ||||
30 | █ LaTrobe | █ Weeds | 1.83 | 3.35 | ||||
31 | █ Maritime | █ Weeds | 1.47 | 3.81 | ||||
32 | █ Navigator | █ Weeds | 1.71 | 3.5 | ||||
33 | █ Scope | █ Weeds | 2.38 | 3.2 | ||||
34 | █ Skipper | █ Weeds | 2.06 | 3.48 | ||||
35 | █ Sloop Sa | █ | ||||||
36 | █ Westminster | █ | ||||||
37 | █ Wimmera | █ | ||||||
38 | █ Yarra | █ |
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.