| Researcher(s) |
Simon Falkiner (G G) Cam Nicholson (G G) Annieka Paridean (SFS) |
|---|---|
| Year(s) | 2007 |
| Contributor | Southern Farming Systems |
| Trial location(s) |
Mininera, VIC
|
A late sown winter wheat Marombi and experimental wheat 10.10.3 were grazed at three different times and compared to the ungrazed crop. Drymatter production available for grazing up to GS 30/31 was 1.48 t/ha for Marombi and 1.89 t/ha for 10.10.3. Early grazing had minimal or no impact on grain yield. Grazing in the early to mid vegetative stage increased grain yield of 10.10.3 by 0.36 t/ha or 5 %. However there was a yield reduction (0.48 t/ha or 8%) by grazing the Marombi. Given the limited number of samples taken, the variation in yield may not be different from the no grazing treatment. The change in stubble mass was less than anticipated, with a decline of up to 13%.
| Lead research organisation | N/A |
|---|---|
| Host research organisation | N/A |
| Related program | N/A |
| Acknowledgments |
Roly Patterson landholder |
| Other trial partners | Not specified |
| Crop type | Cereal (Grain): Wheat |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Unknown |
| Sow date | Not specified |
|---|---|
| Harvest date | Not specified |
| Plot size | Not specified |
| Plot replication | Not specified |
| # | Variety |
Treatment 1
|
Grain yield (t/ha) |
|---|---|---|---|
| 1 | █ 10.10.3 | █ Ungrazed GS 31 | 5.37 |
| 2 | █ Marombi | █ Ungrazed GS 30 | 4.34 |
| 3 | █ 10.10.3 | █ Ungrazed GS 24 | 6.73 |
| 4 | █ 10.10.3 | █ Ungrazed GS 23 | 7.38 |
| 5 | █ Marombi | █ Ungrazed GS 22 | 5.84 |
| 6 | █ Marombi | █ Ungrazed GS 21 | 5.63 |
| 7 | █ 10.10.3 | █ Grazed GS 24 | 6.52 |
| 8 | █ 10.10.3 | █ Grazed GS 23 | 6.88 |
| 9 | █ Marombi | █ Grazed GS 22 | 6.08 |
| 10 | █ Marombi | █ Grazed GS 21 | 6.34 |
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.