Rapid monitoring of herbicide-resistant Alopecurus myosuroides Huds. using chlorophyll fluorescence imaging technology

Wang, Pei; Peteinatos, Gerassimos G.; Hui, Li; Brändle, Frank; Pfündel, Erhard; Drobny, H. G.; Gerhards, Roland

doi:10.1007/s41348-017-0131-7

Cited by 5 publications

(9 citation statements)

References 34 publications

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“…Recently, based on laboratory research, several reports have presented the possibility of using the chlorophyll fluorescence measurement for the detection of weeds’ physiological response to the non-photosystem inhibitors [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. Wang et al [ 19 , 20 ] developed a mobile sensor from a chlorophyll fluorescence imaging system, which could be applied in the greenhouse and field tests. It has been applied for the early detection of the effects of herbicide on a commercially sensitive population of Alopecurus myosuroides and for herbicide stress detection in soybeans, a crop which is very sensitive to the tested herbicides [ 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

A Fluorescence Sensor Capable of Real-Time Herbicide Effect Monitoring in Greenhouses and the Field

Wang

Jia

et al. 2018

Sensors

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Herbicide resistant weeds need to be identified early so that yield loss can be avoided by applying proper field management strategies. A novel chlorophyll-fluorescence-imaging sensor has been developed to conduct real-time herbicide effect evaluation. In this research, greenhouse and field experiments were conducted to calibrate the capability of the sensor in monitoring herbicide effects on different biotypes of two grass weeds (Alopecurus myosuroides, Apera spica-venti) in southwestern Germany. Herbicides with different modes of action were applied for the effect monitoring. Chlorophyll fluorescence yield of the plants was measured 3–15 days after treatment (DAT) using the new fluorescence sensor. Visual assessment of the weeds was carried out on 21 DAT. The results showed that the maximal PS II quantum yield (Fv/Fm) of herbicide sensitive weeds was significantly lower than the values of resistant populations in 5 DAT. The new technology was capable of quickly identifying the herbicide’s effect on plants. It can be used to optimize management strategies to control herbicide resistant weeds.

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Section: Introductionmentioning

confidence: 99%

A Fluorescence Sensor Capable of Real-Time Herbicide Effect Monitoring in Greenhouses and the Field

Wang

Jia

et al. 2018

Sensors

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“…This developmental step focused on F v /F m values of individual plants with the objective to assess the degree of herbicide action without controls and, thus, to increase the scope of application of the PAM-imaging sensor (Wang et al 2018). At three field sites, A. myosuroides plants were treated with ALS, ACCase and PS II inhibitors (EXP4, Table 1).…”

Section: Herbicide Sensitivity Estimation At Plant Levelmentioning

confidence: 99%

Features and applications of a field imaging chlorophyll fluorometer to measure stress in agricultural plants

et al. 2020

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Most non-destructive methods for plant stress detection do not measure the primary stress response but reactions of processes downstream of primary events. For instance, the chlorophyll fluorescence ratio Fv/Fm, which indicates the maximum quantum yield of photosystem II, can be employed to monitor stress originating elsewhere in the plant cell. This article describes the properties of a sensor to quantify herbicide and pathogen stress in agricultural plants for field applications by the Fv/Fm parameter. This dedicated sensor is highly mobile and measures images of pulse amplitude modulated (PAM) chlorophyll fluorescence. Special physical properties of the sensor are reported, and the range of its field applications is defined. In addition, detection of herbicide resistant weeds by employing an Fv/Fm-based classifier is described. The PAM-imaging sensor introduced here can provide in-field estimation of herbicide sensitivity in crops and weeds after herbicide treatment before any damage becomes visible. Limitations of the system and the use of a classifier to differentiate between stressed and non-stressed plants based on sensor data are presented. It is concluded that stress detection by the Fv/Fm parameter is suitable as an expert tool for decision making in crop management.

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“…Hyperspectral imaging techniques (e.g., normalised difference vegetation index (NDVI) and chlorophyll fluorescence and thermal imaging, as well as near-infrared (NIR) and Raman spectroscopy [11,13,14,[24][25][26][27][28]) are capable of highly objective and transferable characterisation of individual plants. Raman spectroscopy has been used to distinguish abiotic stresses in plants [28].…”

Section: Introductionmentioning

confidence: 99%

“…Raman spectroscopy has been used to distinguish abiotic stresses in plants [ 28 ]. Imaging pulse amplitude modulated (PAM) fluorometry with the purposely built Weed PAM [ 13 , 14 , 24 , 25 ] has been used to assess herbicide resistance of weed seedlings in greenhouse conditions [ 29 ] and in the field [ 14 ]. However, hyperspectral imaging techniques require substantial investment to purchase highly specialised equipment which may not be economical for small laboratories and farmers interested in simple fine-level monitoring of herbicide resistance.…”

Section: Introductionmentioning

confidence: 99%

instaGraminoid, a Novel Colorimetric Method to Assess Herbicide Resistance, Identifies Patterns of Cross-Resistance in Annual Ryegrass

Paril

Fournier‐Level

2019

Plant Phenomics

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Herbicide resistance in agricultural weeds is a global problem with an increasing understanding that it is caused by multiple genes leading to quantitative resistance. These quantitative patterns of resistance are not easy to decipher with mortality assays alone, and there is a need for straightforward and unbiased protocols to accurately assess quantitative herbicide resistance. instaGraminoid—a computer vision and statistical analysis package—was developed as an automated and scalable method for quantifying herbicide resistance. The package was tested in rigid ryegrass (Lolium rigidum), the most noxious and highly resistant weed in Australia and the Mediterranean region. This method provides quantitative measures of the degree of chlorosis and necrosis of individual plants which was shown to accurately reflect herbicide resistance. We were able to reliably characterise resistance to four herbicides with different sites of action (glyphosate, sulfometuron, terbuthylazine, and trifluralin) in two L. rigidum populations from Southeast Australia. Cross-validation of the method across populations and herbicide treatments showed high repeatability and transferability. Significant positive correlations in resistance of individual plants were observed across herbicides, which suggest either the accumulation of herbicide-specific resistance alleles in single genotypes (multiple stacked resistance) or the presence of general broad-effects resistance alleles (cross-resistance). We used these quantitative estimates of cross-resistance to simulate how resistance development under an herbicide rotation strategy is likely to be higher than expected.

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Rapid monitoring of herbicide-resistant Alopecurus myosuroides Huds. using chlorophyll fluorescence imaging technology

Cited by 5 publications

References 34 publications

A Fluorescence Sensor Capable of Real-Time Herbicide Effect Monitoring in Greenhouses and the Field

A Fluorescence Sensor Capable of Real-Time Herbicide Effect Monitoring in Greenhouses and the Field

Features and applications of a field imaging chlorophyll fluorometer to measure stress in agricultural plants

instaGraminoid, a Novel Colorimetric Method to Assess Herbicide Resistance, Identifies Patterns of Cross-Resistance in Annual Ryegrass

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