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Canola is one of the most important cash crops in Canada, but yields can be reduced by several insect pests including Lygus spp. (Hemiptera: Miridae). Canola cultivars have been improved substantially since economic thresholds were developed for Lygus in the 1990's. Thus, the objective of this study was to integrate a large data set collected over 23 years (1999–2021) from plots and commercial fields to update economic thresholds. Regression analysis of the data from the studied years from across distinct ecoregions yielded an overall Economic Injury Level (=action threshold) around 9–23 Lygus per 10 sweeps using the current (high) canola prices. However, insecticide trials at farmer's commercial fields, showed that yield was protected from Lygus feeding by spraying a foliar insecticide at the early pod stage only when catches exceeded 30 Lygus per 10 sweeps. Further analysis of Precision Yield Data (PYD) from combine yield monitors from southern Alberta, revealed that at low abundances, under 17 Lygus per 10 sweeps, Lygus may potentially stimulate canola yield and do not require a control action, unless there are more than 30 Lygus per 10 sweeps. Developing a long term data repository for PYD across multiple sites and spatial scales in the Prairies of Canada would allow future generations of researchers to improve decision making tools such as pest action thresholds, to develop a more resilient and sustainable agriculture. [Display omitted] • From 1999 to 2021 we collected data on canola yield and Lygus bug abundance in southern Alberta from 97 farm or plot sites to validate economic injury levels (EIL). • Linear or non-linear regression models suggested an EIL similar to the historical threshold around 15 Lygus per 10 sweeps. • A detailed analysis of Lygus abundance categories from Precision Yield Data showed that Lygus reduce yield only when they surpass 30 per 10 sweeps and plants can compensate or overcompensate for Lygus feeding below this abundance. • Economic Injury Levels based on overall regression analysis (linear or not) may ignore herbivore-plant interactions that occur at distinct regions of arthropod densities. • Ideally, EIL's should be validated on farms and with large historical data sets. [ABSTRACT FROM AUTHOR]