The following Pesticide Hazard Tricolour (PHT) alerts are based on the data in the tables below. An absence of an alert does not imply the substance has no implications for human health, biodiversity or the environment but just that we do not have the data to form a judgement. The alerts for Highly Hazardous Pesticides (HHPs) are based on applying the FAO/WHO (Type 1) and the PAN (Type II) criteria to PPDB data. Further details on the HHP indicators are given in the tables below. Neither the PHT nor the HHP hazard alerts take account of usage patterns or exposure, thus they do not represent risk.
Unclear mode of action but thought to act as an insect irritant
Insecticide behavioural & physiological effects
-
Substance source
Obtained from the seeds of rape plants Brassica napus and brassica campestris
Mixture composition
Canola oil is a mixture of triglycerides whose fatty-acid profile is defined by plant breeding: it must contain low erucic acid and low glucosinolates in the meal. Its composition can vary according to region and extraction method but typically includes oleic acid (55-65%), linoleic acid (18-25%), alpha-linolenic acid (8-12%), palmitic acid (3-5%) and stearic acid (1-2%). Its bioactivity is solely due to its fatty acid content.
Permitted co-formulant in EU and GB under Regulation (EC) No 1107/2009.
Herbicide Resistance Class (HRAC MoA class)
Not applicable
Herbicide Resistance Class (WSSA MoA class)
Not applicable
Insecticide Resistance Class (IRAC MoA class)
UNE
Fungicide Resistance Class (FRAC MOA class)
Not applicable
Examples of recorded resistance
-
Physical state
Vegetable oil. Pale yellow in colour. Canola oil has a complex chemical composition comprised mainly of fatty acids (~56% oleic acid, ~36% linoleic acid)
Example manufacturers & suppliers of products using this active now or historically
Nufarm Australia Ltd
Australian Adjuvants Pty Ltd
W. Neudorff GmbH
Example products using this active
Formulation and application details
Supplied as an oil emulsion formulation
Commercial production
Canola oil production involves transforming canola seeds into the oil. The harvested canola seeds are first cleaned, heated and flaked. Heating helps to soften the seeds, making it easier to extract the oil. Flaking involves rolling the seeds to rupture their outer coating. The flaked seeds are cooked in a series of heating drums or cookers. This step helps to further break down the cell walls and makes the oil extraction process more efficient. The cooked flakes are then pressed using mechanical presses to extract most of the oil. This process is known as expeller pressing. To extract the remaining oil, the pressed seed matter is treated with a solvent. The solvent helps to dissolve the oil, which is then separated from the seed solids. The extracted oil undergoes refining to remove any impurities using methods such as natural clay filters, water, organic acids, and steam.
Impact on climate of production and use
-
ENVIRONMENTAL FATE
Property
Value
Source; quality score; and other information
Interpretation
Solubility - In water at 20 °C at pH 7 (mg l⁻¹)
-
-
-
Solubility - In organic solvents at 20 °C (mg l⁻¹)
-
-
-
Melting point (°C)
-
-
-
Boiling point (°C)
-
-
-
Degradation point (°C)
-
-
-
Flashpoint (°C)
-
-
-
Octanol-water partition coefficient at pH 7, 20 °C
P
-
-
-
Log P
-
-
-
Fat solubility of residues
Solubility
-
-
-
Data type
-
-
-
Density (g ml⁻¹)
-
-
-
Dissociation constant pKa) at 25 °C
-
-
-
-
Vapour pressure at 20 °C (mPa)
-
-
-
Henry's law constant at 25 °C (Pa m³ mol⁻¹)
-
-
-
Volatilisation as max % of applied dose lost
From plant surface
-
-
-
From soil surface
-
-
-
Maximum UV-vis absorption L mol⁻¹ cm⁻¹
-
-
-
Surface tension (mN m⁻¹)
-
-
-
Degradation
Property
Value
Source; quality score; and other information
Interpretation
General biodegradability
Readily biodegradable
Soil degradation (days)
DT₅₀ (typical)
-
-
-
DT₅₀ (lab at 20 °C)
-
-
-
DT₅₀ (field)
-
-
-
DT₉₀ (lab at 20 °C)
-
-
-
DT₉₀ (field)
-
-
-
DT₅₀ modelling endpoint
-
-
-
Note
-
Soil mineralisation
Aerobic (at 20 °C)
-
-
-
Anaerobic (at 20 °C)
-
-
Dissipation rate RL₅₀ (days) on plant matrix
Value
-
-
-
Note
-
Dissipation rate RL₅₀ (days) on and in plant matrix
Value
-
-
-
Note
-
Aqueous photolysis DT₅₀ (days) at pH 7
Value
-
-
-
Note
-
Aqueous hydrolysis DT₅₀ (days) at 20 °C and pH 7
Value
-
-
-
Note
-
Water-sediment DT₅₀ (days)
-
-
-
Water phase only DT₅₀ (days)
-
-
-
Sediment phase only DT₅₀ (days)
-
-
-
Air degradation
As this parameter is not normally measured directly, a surrogate measure is used: ‘Photochemical oxidative DT₅₀’. Where data is available, this can be found in the Fate Indices section below.
Decay in stored produce DT₅₀
-
Soil adsorption and mobility
Property
Value
Source; quality score; and other information
Interpretation
Linear
Kd (mL g⁻¹)
-
-
-
Koc (mL g⁻¹)
-
Notes and range
-
Freundlich
Kf (mL g⁻¹)
-
-
-
Kfoc (mL g⁻¹)
-
1/n
-
Notes and range
-
pH sensitivity
-
Known metabolites
None
ECOTOXICOLOGY
Terrestrial ecotoxicology
Property
Value
Source; quality score; and other information
Interpretation
Mammals - Acute oral LD₅₀ (mg kg⁻¹)
> 5000
Q3 Q = Miscellaneous data from online sources 3 = Unverified data of known source
Rat
Low
Mammals - Short Term Oral NOAEL (mg kg⁻¹ bw d⁻¹)
-
-
-
Mammals - Long Term (Chronic) Oral NOAEL (mg kg⁻¹ bw d⁻¹)
-
-
-
Birds - Acute LD₅₀ (mg kg⁻¹)
> 2000
Q3 Q = Miscellaneous data from online sources 3 = Unverified data of known source
No adverse effects identified or expected
Low
Birds - Short term dietary LC₅₀ (mg kg⁻¹ bw d⁻¹)
-
-
-
Birds - Chronic 21d NOEL (mg kg⁻¹ bw d⁻¹)
-
-
-
Earthworms - Acute 14 day LC₅₀ (mg kg⁻¹ dw soil)
> 1000
Q2 Q = Miscellaneous data from online sources 2 = Unverified data of unknown source
Tzilivakis, J., Lewis, K.A., Green, A. and Warner, D.J. (2026) A decade of growth and impact of the Pesticide Properties Database (PPDB). Human and Ecological Risk Assessment: An International Journal, 1–26. DOI: 10.1080/10807039.2026.2702066
Lewis, K.A., Tzilivakis, J., Warner, D. and Green, A. (2016) An international database for pesticide risk assessments and management. Human and Ecological Risk Assessment: An International Journal, 22(4), 1050-1064. DOI: 10.1080/10807039.2015.1133242
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