Evaluation of forage varieties in a cropping system

2010
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) Tony Campbell (SFS)
Jon Midwood (SFS)
Year(s) 2010
Contributor Southern Farming Systems
Trial location(s) Lake Bolac, VIC
Evaluation of forage varieties in a cropping system locations
Aims

To collect more data on dry matter and production figures for forage varieties.

Key messages
  • A range of cereal, grass, vetch, brassica and clover varieties were selected for their suitability in medium-high rainfall zones ina forage break in cropping rotations.
  • In 2009 and 2010, specialist forage oats (Graza 51 and Graza 80) and annual ryegrass (Grassmax and Drummer) grew the largest amounts of dry matter.
  • In 2009 Morava vetch grew the highest amount of dry matter for legumes, whilst in 2010 it was Zulu II arrowleaf clover.
  • In 2010, the site was extremely wet, and some varieties performed better than others. If 2011 also proves to be wet, growers need to carefully select their varieties.
Lead research organisation N/A
Host research organisation N/A
Trial funding source Seedmark
Related program N/A
Acknowledgments N/A
Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop types Hay: Vetch Hay: Oaten Forage: Brassica Pasture: Clover Pasture: Medic Weed: Ryegrass
Treatment type(s)
  • Crop: Type
  • Crop: Variety
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Lake Bolac 2010 Vetch

Sow date 7 May 2010
Harvest date Not specified
Plot size 20m x 1.8m
Plot replication Not specified

Lake Bolac 2010 Oaten

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Lake Bolac 2010 Brassica

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Lake Bolac 2010 Clover

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Lake Bolac 2010 Medic

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Lake Bolac 2010 Ryegrass

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Variety
Treatment 1
Dry matter (t/ha)
1 Rasina Vetch 1.091
2 Morava Vetch 1.104
3 Laser persian clover 1.495
4 Leafmore Forage rape 2.779
5 Graza 51 Forage oat 4.288
6 Graza 80 Forage oat 3.614
7 Scimitar Burr medic 1.174
8 Bolta Balansa 1.74
9 Zulu II Arrowleaf clover 2.076
10 Drummer Annual ryegrass 5.133
11 Grassmax Annual ryegrass 4.62

Dry matter t/ha


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Lake Bolac, VIC Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Lake Bolac, VIC Sodosol
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 Lake Bolac VIC
2010 532.7mm
2009 476.1mm
2008 477.4mm
2007 474.0mm
2006 461.2mm
2005 491.3mm
2004 474.1mm
2003 482.7mm
2002 463.3mm
2001 466.9mm
2000 459.2mm
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.

Lake Bolac VIC

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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: 31-10-2019 15:09pm AEST