Matching nitrogen to variety

2012
CC BY 4.0

Research organisatons

Trial details

Researcher(s) Clare Johnston (Liebe Group)
David Scholz (Elders Ltd)
Year(s) 2012
Contributor Liebe Group
Trial location(s) East Dalwallinu, WA
Matching nitrogen to variety locations
Aims

To evaluate yield and quality response of existing wheat varieties when treated at different nitrogen rates. Aiming to maximise nitrogen use efficiency by matching inputs to variety.

Key messages

Mace was the highest yielder with the best grain quality and being a hard variety gave the best gross margin. All other varieties didn’t make their base grade of APW2 with the exception of one Magenta treatment. Adding nitrogen had a negative impact on yields and therefore gross margins with the exception of Magenta 25N, which was able to scrape into a higher bin grade. 

Lead research organisation Elders Ltd
Host research organisation N/A
Related program N/A
Acknowledgments

Kalyx for managing the trial, Summit for their help and advice.


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

Method

Crop type Cereal (Grain): Wheat
Treatment type(s)
  • Crop: Variety
  • Fertiliser: Rate
Trial type Experimental
Trial design Replicated

East Dalwallinu 2012

Sow rate or Target density 75 kg/ha
Sow date 7 June 2012
Harvest date Not specified
Plot size 12m x 2.5m
Plot replication 3
Paddock history 2009 wheat, 2010 wheat, 2011 wheat
Fertiliser

7/6/12: 75 kg/ha MAPSZC banded, 100 kg/ha SOP spread IBS

Herbicide

7/6/12: 1.5 L/ha Roundup, 2.5 L/ha Boxer Gold, 1.0 L/ha Trifluralin,

11/7/12: 25 g/ha Monza, 2% v/v DC Trate,

Insecticide

7/6/12: 1 L/ha Chlorpyriphos

Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Variety
Treatment 1
Head abundance (heads/m2) Protein (%) Grain yield (t/ha) Gross margin ($/ha) Hectolitre weight (kg/hL) Screenings (%) Biomass (unspecified)
1 Mace 0N 1.354 11.6 1.35 207.32 74.4 3.3 80
2 Mace 25N 1.051 13.1 1.05 86.11 74.5 4.5 80
3 Mace 50N 1.316 13.3 1.32 134.78 74.7 3.9 85
4 Mace 75N 1.307 13.9 1.31 83.85 73.7 5 92
5 Magenta 0N 0.928 12.2 0.93 43.56 73.9 3.9 82
6 Magenta 25N 0.966 13.5 0.97 59.68 74.3 3.2 87
7 Magenta 50N 0.966 14.1 0.97 -13.68 73.3 5.3 87
8 Magenta 75N 1.032 14.6 1.03 -29.61 73.7 4.6 93
9 Wyalkatchem 0N 1.013 12 1.01 66.51 73.4 3.5 80
10 Wyalkatchem 25N 0.985 13.3 0.99 25.2 71.1 6.1 82
11 Wyalkatchem 50N 0.739 13.8 0.74 -75 70.9 6.2 83
12 Wyalkatchem 75N 0.767 14.4 0.77 -101.16 71.4 6.4 85

Grain yield t/ha


Loading

Biomass unspecified


Loading

Gross margin $/ha


Loading

Head abundance heads/m2


Loading

Hectolitre weight kg/hL


Loading

Protein %


Loading

Screenings %


Loading
Observed trial site soil information
Trial site soil testing
Site Depth Type pH EC P K N A OC CAT
East Dalwallinu, WA 0 - 10cm Loamy Clay 5.60 0.04
East Dalwallinu, WA 10 - 30cm Loamy Clay
Soil conditions
Trial site Soil texture
East Dalwallinu, WA Red loam
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
East Dalwallinu, 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 East Dalwallinu WA
2012 309.7mm
2011 288.9mm
2010 265.3mm
2009 286.5mm
2008 314.0mm
2007 276.0mm
2006 277.8mm
2005 242.3mm
2004 259.5mm
2003 282.6mm
2002 232.5mm
2001 266.2mm
2000 340.9mm
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

Loading

Climate

East Dalwallinu WA 2012


Observed climate information

Rainfall trial gsr (mm) 133mm

Derived climate information

East Dalwallinu WA

Loading
Loading
Loading

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

2012 trial report