Experimental Research of Reliability of Plant Stress State Detection by Laser-Induced Fluorescence Method

Fedotov, Yu. V.; Bullo, Olga; Белов, М. Л.; Городничев, В. А.

doi:10.1155/2016/4543094

Cited by 13 publications

(5 citation statements)

References 17 publications

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“…The mean spectrum per block, for a clone at a given stress level, is the result of fifteen (15) measurements. Indeed, it is recommended to use the mean value of the fluorescence ratio for many measurements to have reliable results instead of one single measurement (Fedotov, Bullo, Belov, & Gorodnichev, 2016).…”

Section: Data Processingmentioning

confidence: 99%

Water Deficiency Detection of Hevea brasiliensis Clones by Laser Induced Fluorescence

Zoro-Diama

Soro

Diomande

et al. 2017

APR

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Water is the key nutritional element for the optimal development of plants. A water deficiency leads to lower crop productivity. As the health status of a plant influences the photosynthesis process, a photosynthetic diagnosis of a plant can be carried by laser induced chlorophyll fluorescence, a reliable and fast method that is non-destructive to the sample. In this study, we show that it is possible to detect the water deficiency of rubber tree hevea brasiliensis from the chlorophyll fluorescence ratio. The fluorescence ratio used in this study is called the effective ratio and it corresponds to the both fluorescence peaks ratio. We noticed that the water deficient plants fluorescence ratios were higher than those of normally watered plants. Moreover, the stressed plants' ratios are greater than a threshold value which depends on the duration of water deprivation application.

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Section: Data Processingmentioning

confidence: 99%

Water Deficiency Detection of Hevea brasiliensis Clones by Laser Induced Fluorescence

Zoro-Diama

Soro

Diomande

et al. 2017

APR

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“…(2020) used chlorophyll fluorometry to measure weeds in the field after herbicide treatment and assessment of herbicide sensitivity ( Linn et al., 2020 ) and determined that the fluorescence parameter Fv/Fm could be a strong indicator for evaluating weed sensitivity to herbicides. Fedotov et al. (2016) used fluorescence spectroscopy to monitor the effects of stress caused by mechanical damage in turfgrass and showed that the fluorescence ratio can be considered a reliable feature of plant stress status ( Fedotov et al., 2016 ).…”

Section: Introductionmentioning

confidence: 99%

“…Linn et al (2020) used chlorophyll fluorometry to measure weeds in the field after herbicide treatment and assessment of herbicide sensitivity (Linn et al, 2020) and determined that the fluorescence parameter Fv/Fm could be a strong indicator for evaluating weed sensitivity to herbicides. Fedotov et al (2016) used fluorescence spectroscopy to monitor the effects of stress caused by mechanical damage in turfgrass and showed that the fluorescence ratio can be considered a reliable feature of plant stress status (Fedotov et al, 2016). Mechanical damage causes damage to the donor side of PSII, resulting in the production of large amounts of reactive oxygen species (ROS) in plants such as weeds, and excessive accumulation of ROS in plants (Choudhury et al, 2016), induces aldehyde formation and increases photosynthetic efficiency in response to stress by increasing the number of reaction centers per unit area (Wojtaszek, 1997;Maresca et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Monitoring weed mechanical and chemical damage stress based on chlorophyll fluorescence imaging

et al. 2023

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Currently, mechanical and chemical damage is the main way to carry out weed control. The use of chlorophyll fluorescence (CF) technology to nondestructively monitor the stress physiological state of weeds is significant to reveal the damage mechanism of mechanical and chemical stresses as well as complex stresses. Under simulated real field environmental conditions, different species and leaf age weeds (Digitaria sanguinalis 2-5 leaf age, and Erigeron canadensis 5-10 leaf age) were subjected to experimental treatments for 1-7 days, and fluorescence parameters were measured every 24 h using a chlorophyll fluorometer. The aim of this study was to investigate the changes in CF parameters of different species of weeds (Digitaria sanguinalis, Erigeron canadensis) at their different stress sites under chemical, mechanical and their combined stresses. The results showed that when weeds (Digitaria sanguinalis and Erigeron canadensis) were chemically stressed in different parts, their leaf back parts were the most severely stressed after 7 days, with photosynthetic inhibition reaching R=75%. In contrast, mechanical stress differs from its changes, and after a period of its stress, each parameter recovers somewhat after 1 to 2 days of stress, with heavy mechanical stress R=11%. Complex stress had the most significant effect on CF parameters, mainly in the timing and efficiency of changes in Fv/Fm, Fq’/Fm’, ETR, Rfd, NPQ and Y(NO), with R reaching 71%-73% after only 3-4 days of complex stress, and its changes in complex stress were basically consistent with the pattern of changes in its chemical stress. The results of the study will help to understand the effects of mechanical and chemical stresses and combined stresses on CF parameters of weeds and serve as a guide for efficient weed control operations and conducting weed control in the future.

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“…However, soil can be degraded by chemical and physical processes, which reduces its ability to function as a base for the development of a healthy layer for vegetation. Therefore, acknowledging soil conditions by the effects on vegetation can represent site conditions [3,4].…”

Section: Introductionmentioning

confidence: 99%

Soil Order-Land Use Index Using Field-Satellite Spectroradiometry in the Ecuadorian Andean Territory for Modeling Soil Quality

2022

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Land use conversion is the main cause for soil degradation, influencing the sustainability of agricultural activities in the Ecuadorian Andean region. The possibility to identify the quality based on the spectral properties allows remote sensing methods to offer an alternative form of monitoring the environment. This study used laboratory spectroscopy and multi-spectral images (Sentinel 2) with environmental covariates (physicochemical parameters) to find an affordable method that can be used to present spatial prediction models as a tool for the evaluation of the quality of Andean soils. The models were developed using statistical techniques of logistic regression and linear discriminant analysis to generate an index based on soil order and three indexes based on the combination of soil order and land use. This combined approach offers an effective method, relative to traditional laboratory methods, to derive estimates of the content and composition of soil constituents, such as electrical conductivity (CE), organic matter (OM), pH, and soil moisture (HU). For Mollisol index.3 with Páramo land use, a value of organic matter (OM) ≥8.6% was obtained, whereas for Mollisol index.4 with Shrub land use, OM was ≥6.1%. These results reveal good predictive (estimation) capabilities for these soil order–land use groups. This provides a new way to monitor soil quality using remote sensing techniques, opening promising prospects for operational applications in land use planning.

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Experimental Research of Reliability of Plant Stress State Detection by Laser-Induced Fluorescence Method

Cited by 13 publications

References 17 publications

Water Deficiency Detection of Hevea brasiliensis Clones by Laser Induced Fluorescence

Water Deficiency Detection of Hevea brasiliensis Clones by Laser Induced Fluorescence

Monitoring weed mechanical and chemical damage stress based on chlorophyll fluorescence imaging

Soil Order-Land Use Index Using Field-Satellite Spectroradiometry in the Ecuadorian Andean Territory for Modeling Soil Quality

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