With the worldwide increase of herbicide-resistant weed populations, there is a need for fast and reliable screening methods for early detection of herbicide-resistant weeds. Several tests on herbicide resistance in weeds exist (Beckie et al. 2000). Until today, the most common method to detect herbicide-resistant weed plants are timeconsuming and labour-intensive greenhouse bioassays. The major disadvantage of this test is that the results become available only for the next growing season. One test that was developed to overcome this limitation was the Syngenta rapid in-season quick test (RISQ) (Kaundun et al. 2011). Here, seedlings are transplanted to herbicide-treated agar and the survivorship is recorded after 10 days. It is a reliable method for testing herbicide resistance in weeds for post-emergent herbicides (Brosnan et al. 2017). While the RISQ provides information if a plant is resistant or not, it does not give estimation about the level of resistance.To receive information about the resistance level of a weed population, the experimental setup of the RISQ was combined with an assessment of the maximum quantum efficiency of photosysDetecting herbicide-resistant Apera spica-venti with a chlorophyll fluorescence agar test