HYC Spring canola YieldMax Trial_WA

2023

Research organisation
Funding source

Trial details

Researcher(s) Rohan Brill
Nick Poole
Heping Zhang
Year(s) 2023
Contributor Field Applied Research (FAR) Australia
Trial location(s) Kojonup, WA
HYC Spring canola YieldMax Trial_WA locations
Aims

To assess the impact of increased crop inputs, specifically nitrogen, phosphorus and manure, across various spring canola variety types.

Key messages
  • The high-input management strategy (225 kg/ha N + 30 kg/ha P + 5 t/ha chicken manure) resulted in yields 0.69 t/ha higher than the low-input approach (150 kg/ha N + 15 kg P/ha), reflecting a substantial 26% increase in yield.
  • Yield differences within herbicide tolerance groups was greater than differences between herbicide tolerance groups.
  • For oil concentration, the Glyphosate Tolerant (GT) varieties had higher oil than Clearfield (CLF) and Triazine Tolerant (TT) varieties.
  • Hybrid Clearfield canola 45Y95 CL achieved the highest yield at 3.35 t/ha. This was 19% higher than the lowest yielding variety Hyola Blazer TT.
  • Dry matter assessments were taken at 100°C.days and 500°C.days after the start of flowering and again at crop maturity. 45Y95 CL and 45Y28 RR had more biomass than HyTTec Trifecta by the second biomass assessment. This higher biomass was maintained through to maturity but resulted in lower harvest index (HI).
  • Growth through the crop critical period (between 100 and 500°C.days after the start of flowering) was > 4 t/ha for 45Y95 CL and 45Y28 RR, but < 3 t/ha for HyTTec Trifecta. The difference in growth during the crop critical period likely drove the higher yield of these two varieties. Similarly, there was > 4 t/ha growth through the critical period with the High input nutrition strategy compared with < 3 t/ha for the low input strategy.
  • Applying the extra nutrition and selecting the best hybrids were additive factors in achieving the highest yields in this trial.
  • No significant interaction between variety and management strategy was observed for yield and biomass.
Kojonup WA 2023

Trial design: Factorial

2022 Crop: Barley
Soil type & management: Sandy loam duplex
Available Nitrogen 0-40 cm: 67 kg/ha
Colwell P 0-10 cm: 28 mg/kg
pH (CaCl2) 0-20 cm: 5.6
Organic Carbon 0-20 cm: 2.8%

Lead research organisation Field Applied Research (FAR) Australia
Host research organisation N/A
Trial funding source GRDC FAR2004-002RTX
Related program N/A
Acknowledgments N/A
Other trial partners Brill Ag; FAR Australia
Download the trial report to view additional trial information

Method

Crop type Oilseed: Canola
Treatment type(s)
  • Crop : Variety
  • Fertiliser
  • Fertiliser : Rate
  • Fertiliser : Timing
  • Fertiliser : Type
Trial type Experimental
Trial design Randomised,Replicated

Kojonup 2023

Sow rate or Target density 40 plants/m2
Sow date 20 April 2023
Harvest date 29 November 2023
Trial design method O Other
Trial design arrangement 18 rows x 4 cols
Total plots 72
Plot size Not specified
Plot replication 4
Plot randomisation Y
Fertiliser

Please refer to trial report for treatment details

Fungicide

Please refer to trial report for treatment details

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
Not specified
Soil conditions
Trial site Soil texture
Kojonup, WA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Kojonup, WA Sodosol

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.

Kojonup WA

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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

2023 trial report



Trial last modified: 13-01-2025 16:07pm AEST