Effect of grazing on the grain yield and quality of seven cereals

2006
CC BY 4.0

Research organisaton
Funding sources

Trial details

Researcher(s) Stacey Alexander (SFS)
Cam Nicholson (SFS)
Year(s) 2006
Contributor Southern Farming Systems
Trial location(s) Inverleigh, VIC
Effect of grazing on the grain yield and quality of seven cereals locations
Aims

To quantify the drymatter potential of seven long season cereal crops before stem elongation is reached and to determine the impact on grain yield if heavy grazing occurs at GS31.

Key messages

Intensive grazing at GS 30 – GS 31 (start of stem elongation) reduced grain yield compared to no grazing by an average of 37%. The greatest yield loss of 57% occurred with Monstress triticale and the lowest yield loss occurred with Amarok wheat (18%). Up to 2.1 t/ha of drymatter was available for grazing before stem elongation was reached. Yerong barley yielded the greatest drymatter pre grazing, with Brennan wheat the lowest drymatter yielding at 1.5 t/ha.

Lead research organisation N/A
Host research organisation N/A
Trial funding source Grain & Graze
Trial funding source NREP
Related program Grain & Graze
Acknowledgments

Rohan Wardle and the SFS field staff for sowing and post emergent crop management.


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

Method

Crop types Cereal (Grain): Triticale Cereal (Grain): Wheat Cereal (Grain): Barley
Treatment type(s)
  • Crop: Type
  • Crop: Variety
  • Grazing: Rate
  • Grazing: Timing
Trial type
Trial design

Inverleigh 2006 Triticale

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

Inverleigh 2006 Wheat

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

Inverleigh 2006 Barley

Sow date 11 May 2006
Harvest date 13 December 2006
Plot size 16m x 2m
Plot replication 3
Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Variety
Treatment 1
Grain yield (t/ha) Dry matter (t/ha) 1000 grain weight (g) Protein (%)
1 Gairdner (barley) Ungrazed 4.9 32.2 11.9
2 Yerong (barley) Ungrazed 4.4 33.8 12
3 Monstress (triticale) Ungrazed 4.1 37.8 11
4 Marombi (wheat) Ungrazed 4.1 33.5 11.2
5 Mackellar (wheat) Ungrazed 4 27.5 11.2
6 Amarok (wheat) Ungrazed 3.8 35.4 11.4
7 Brennan (wheat) Ungrazed 3.1 34.8 12.3
8 Gairdner (barley) Grazed, GS31 - GS32 3.2 2.19 34.3 11.3
9 Yerong (barley) Grazed, GS30 - GS31 2.9 2.12 36.8 11.4
10 Monstress (triticale) Grazed, GS30 - GS31 1.8 2.02 28.2 10.8
11 Mackellar (wheat) Grazed, GS30 - GS31 2.7 1.73 25.1 9.6
12 Marombi (wheat) Grazed, GS30 2.5 1.92 27.6 10.6
13 Amarok (wheat) Grazed, GS30 3.1 1.49 30.3 9.8
14 Brennan (wheat) Grazed, GS30 1.9 1.48 29.6 11.8

Grain yield t/ha


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1000 grain weight g


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Dry matter t/ha


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Protein %


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Inverleigh, VIC Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Inverleigh, 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 Inverleigh VIC
2006 467.8mm
2005 491.2mm
2004 438.6mm
2003 416.4mm
2002 399.6mm
2001 472.4mm
2000 448.5mm
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.

Inverleigh 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: 24-01-2023 15:22pm AEST