Ungarie CWFS site - vetch variety trial

2003
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) Sharon Taylor (CWFS)
Year(s) 2003
Contributor Central West Farming Systems
Trial location(s) Ungarie, NSW
Ungarie CWFS site - vetch variety trial locations
Aims

To conduct a vetch variety trial to look for a dual purpose vetch variety.

Key messages
  • Challus lathyrus (winter-growing annual grain legume) produced hay that was more nutritious than vetch and field peas.
  • Out of the commercial vetch varieties and the SARDI breeding line, Haymaker, produced the most nutritious hay, however it has greater than 5% hard seeds.
  • The best alternative commercial vetch variety to Haymaker was Morava as it has no hard seeds.
  • The SARDI breeding lines that performed the closest to Haymaker were SA/34433 and SA/33600.
Lead research organisation Central West Farming Systems
Host research organisation N/A
Trial funding source GRDC
Related program N/A
Acknowledgments

On behalf of CWFS and the Ungarie Regional Site, I would like to thank Peter Gordon for offering to have the vetch variety trial located on his property and for providing his help and advice during the growing season. I would also like to thank Rade Matic, Vetch Breeder at SARDI, for providing us with seed and information about each of the vetch varieties. We understand that the seed supply for trials in 2003 was limited and we greatly appreciated being able to have access to some of that seed. We would also like to thank Allan  L'Estrange and Nathan Border for their help with the vetch variety trial. Thank you also goes to our major sponsors the Grain Growers Association and GRDC.


Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Hay: Vetch
Treatment type(s)
  • Crop: Type
  • Crop: Variety
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Ungarie 2003

Sow date 28 May 2003
Harvest date Not specified
Plot size 15m x 1.75m
Plot replication Not specified
Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Variety
Crude protein (% of DM) Dry weight (t/ha) Metabolisable energy (MJ/kg DM)
1 Blanchefleur** 21.1 1.427 10.933
2 Haymaker* 25.4 1.757 11.667
3 Languedoc 19.1 1.633 10.767
4 Morava* 21.03 0.833 11.133
5 Popany vetch* 23.67 1.033 11.133
6 2681 ** 21.13 1.27 11
7 SA/33600 22.4 1.02 11.2
8 SA/34182* 21 1.003 10.9
9 SA/34200* 20.37 0.987 11.033
10 SA/34419** 20.6 0.92 10.9
11 SA/34433 23.33 1.163 11.23
12 SA/34462** 19.53 1.13 10.767
13 SA/34544** 19.47 1.403 10.733
14 SA/34563 19.03 1.387 10.7
15 SA/34606 21.13 1.157 10.8
16 SA/34718* 21.27 1.263 10.933
17 SA/34719** 19.8 1.013 10.833

Crude protein % of DM


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Dry weight t/ha


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Metabolisable energy MJ/kg DM


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Ungarie, NSW Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Ungarie, NSW Kandosol
Soil Moisture Source: BOM/ANU
Average amount of water stored in the soil profile during the year, estimated by the OzWALD model-data fusion system.
Year Ungarie NSW
2003 482.2mm
2002 435.2mm
2001 468.7mm
2000 458.9mm
National soil grid Source: CSIRO/TERN
NOTE: National Soil Grid data is aggregated information for background information on the wider area
Actual soil values can vary significantly in a small area and the trial soil tests are the most relevant data where available

Soil properties

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Climate

Derived climate information

No observed climate data available for this trial.
Derived climate data is determined from trial site location and national weather sources.

Ungarie NSW

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Some data on this site is sourced from the Bureau of Meteorology

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.



Trial last modified: 05-05-2018 21:19pm AEST