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Agronomy of new wheat and barley varieties response to N applied on wheat stubble

2014
CC BY 4.0

Research organisations
Funding source
Liebe Group Department of Agriculture and Food WA
<abbr title='Department of Agriculture and Food (Western Australia)'>DAFWA</abbr>

Trial details

Researcher(s) Christine Zaicou-Kunesch (DAFWA)
Year(s) 2014
Contributor Liebe Group
Trial location(s) Buntine, WA
Agronomy of new wheat and barley varieties response to N applied on wheat stubble locations
Aims

To evaluate yields and quality of new and existing wheat and barley varieties and their response to N.

Key messages
  • Barley yields averaged 1.78 t/ha compared to 1.64 t/ha for wheat.
  • The barley and wheat varieties differed in their response to added nitrogen (N). Cobra, Mace and Wyalkatchem yields increased at 40 kg/ha of N as did yields of Compass, La Trobe and IGB1337. The other varieties were not responsive to added N.
  • Barley had a higher tillering capacity than wheat.
  • Grain quality and price will influence the profitability of added N. The current high prices for barley grain make it a profitable option. However, barley is less tolerant to acid soils and so site selection is important, as is a good understanding of grain quality and end price.
Lead research organisation Department of Agriculture and Food WA
Host research organisation N/A
Trial funding source DAFWA DAW00218,DAW00224
Related program N/A
Acknowledgments

Gratefully acknowledge Liebe Group, GRDC and DAFWA’s technical services team for support with this research program. Economic analysis was provided by James Hagan, Economist, DAFWA and this is gratefully appreciated. This activity contributes to the DAFWA’s wheat agronomy project (DAW00218) and barley agronomy project (DAW00224).
Other trial partners Liebe Group
Download the trial report to view additional trial information

Method

Crop types Cereal (Grain): Barley Cereal (Grain): Wheat
Treatment type(s)
  • Crop : Variety
  • Crop : Nutrition
Trial type Experimental
Trial design Replicated

Buntine 2014 Barley

Sow rate or Target density Approximately 70 kg/ha targeting 120 plants/m2. Note: 126 plants/m2 established
Sowing machinery

22cm using 7 row cone seeder with press wheels
Sow date 12 May 2014 12/05/2014
Harvest date Not specified
Plot size 1.54m x 10m
Plot replication 3
Fertiliser

12/05/2014: 120 kg/ha Summit Super CZM banded at seeding

11/06/2014: post N treatments applied
Herbicide

12/05/2014: 118 g/ha Sakura, 2 L/ha Spray.Seed 

11/06/2014: 670 mL/ha  Velocity, 1% Hasten
Other trial notes

Paper reviewed by: Georgia Trainor, DAFWA

Contact

Christine Zaicou-Kunesch, DAFWA

christine.zaicou-kunesch@agric.wa.gov.au

(08) 9956 8549

Buntine 2014 Wheat

Sow rate or Target density Not specified
Sowing machinery Not specified
Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Fertiliser Not specified
Herbicide Not specified
Other trial notes

Paper reviewed by: Georgia Trainor, DAFWA

Contact

Christine Zaicou-Kunesch, DAFWA

christine.zaicou-kunesch@agric.wa.gov.au

(08) 9956 8549
Download the trial report to view additional method/treatment information
Trial source data and summary not available
Check the trial report PDF for trial results.
Observed trial site soil information
Trial site soil testing
Site Depth Type pH EC P K N A OC CAT
Buntine, WA 0 - 10cm Sandy loam over loam 5.30 0.05
Buntine, WA 20 - 30cm Sandy loam over loam 4.70
Soil conditions
Trial site Soil texture
Buntine, WA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Buntine, WA 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 Buntine WA
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Climate

Buntine WA 2014

Observed climate information

Rainfall trial gsr (mm) 180mm

Derived climate information

Buntine WA

NOTE: Exact trial site locality unknown - Climate data may not be accurate
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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 report and links

2014 trial report



Trial last modified: 26-11-2019 16:24pm AEST