Use of the atLEAF+ chlorophyll meter for a nondestructive estimate of chlorophyll content

Novichonok, Elena V.; Novichonok, A.; Kurbatova, S. A.; Markovskaya, E. F.

doi:10.1007/s11099-015-0172-8

Cited by 34 publications

(20 citation statements)

References 44 publications

(55 reference statements)

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“…The adjusted coefficients of determination of the model were 0.96, 0.92, 0.96, and 0.94 for Chl a and b, total Chl, and Car, respectively. These results were nearly identical to those observed in a recent study for Chl (Novichonok et al 2016). Another study with soybean plants found similar results with a close relationship between portable Chl meter measurements and Chl measured by the classical method (Markwell et al 1995).…”

Section: Resultssupporting

confidence: 90%

A novel method for the estimation of soybean chlorophyll content using a smartphone and image analysis

Rigon¹,

Capuani²,

Fernandes³

et al. 2016

Photosynt.

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The development of smartphones, specifically their cameras, and imaging technologies has enabled their use as sensors/measurement tools. Here we aimed to evaluate the applicability of a fast and noninvasive method for the estimation of total chlorophyll (Chl), Chl a, Chl b, and carotenoids (Car) content of soybean plants using a smartphone camera. Single leaf disc images were obtained using a smartphone camera. Subsequently, for the same leaf discs, a Chl meter was used to obtain the relative index of Chl and the photosynthetic pigments were then determined using a classic method. The RGB, HSB and CIELab color models were extracted from the smartphone images and correlated to Chl values obtained using a Chl meter and by a standard laboratory protocol. The smartphone camera was sensitive enough to capture successfully a broad range of Chl and Car contents seen in soybean leaves. Although there was a variation between color models, some of the proposed regressions (e.g., the S and b index from HSB and Lab color models and NRI [RGB model]) were very close to the Chl meter values. Based on our findings, smartphones can be used for rapid and accurate estimation of soybean and Car contents in soybean leaves.

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Section: Resultssupporting

confidence: 90%

A novel method for the estimation of soybean chlorophyll content using a smartphone and image analysis

Rigon¹,

Capuani²,

Fernandes³

et al. 2016

Photosynt.

View full text Add to dashboard Cite

show abstract

“…There is consistent evidence that chlorophyll meters can become partially saturated at high N and chlorophyll contents [ 37 , 41 , 42 , 69 ]. However, often the partial saturation response does not occur, and linear relationships are observed between chlorophyll meter readings and leaf chlorophyll or leaf/plant N content [ 28 , 38 , 70 , 71 ].…”

Section: Chlorophyll Metersmentioning

confidence: 94%

Proximal Optical Sensors for Nitrogen Management of Vegetable Crops: A Review

Padilla

Gallardo

Peña-Fleitas

et al. 2018

Sensors

132

130

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Optimal nitrogen (N) management is essential for profitable vegetable crop production and to minimize N losses to the environment that are a consequence of an excessive N supply. Proximal optical sensors placed in contact with or close to the crop can provide a rapid assessment of a crop N status. Three types of proximal optical sensors (chlorophyll meters, canopy reflectance sensors, and fluorescence-based flavonols meters) for monitoring the crop N status of vegetable crops are reviewed, addressing practical caveats and sampling considerations and evaluating the practical use of these sensors for crop N management. Research over recent decades has shown strong relationships between optical sensor measurements, and different measures of crop N status and of yield of vegetable species. However, the availability of both: (a) Sufficiency values to assess crop N status and (b) algorithms to translate sensor measurements into N fertilizer recommendations are limited for vegetable crops. Optical sensors have potential for N management of vegetable crops. However, research should go beyond merely diagnosing crop N status. Research should now focus on the determination of practical fertilization recommendations. It is envisaged that the increasing environmental and societal pressure on sustainable crop N management will stimulate progress in this area.

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“…Second, leaf chlorophyll levels were measured for each plant as an indication of individual plant stress [38,39,40] at the time of root and rhizosphere collection using a handheld portable chlorophyll meter (atLEAF; Wilmington, DE) which measures light transmittance. Values produced by the meter are unit-less indices [41, 42], in which higher measured values correspond to healthier plants within the same species [40]. …”

Section: Methodsmentioning

confidence: 99%

Bacterial Rhizoplane Colonization Patterns of Buchloe dactyloides Growing in Metalliferous Mine Tailings Reflect Plant Status and Biogeochemical Conditions

et al. 2017

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Plant establishment during phytostabilization of legacy mine tailings in semiarid regions is challenging due to low pH, low organic carbon, low nutrients, and high toxic metal(loid) concentrations. Plant-associated bacterial communities are particularly important under these harsh conditions because of their beneficial services to plants. We hypothesize that bacterial colonization profiles on rhizoplane surfaces reflect deterministic processes that are governed by plant health and the root environment. The aim of this study was to identify associations between bacterial colonization patterns on buffalo grass (Buchloe dactyloides) rhizoplanes and both plant status (leaf chlorophyll and plant cover) and substrate biogeochemistry (pH, electrical conductivity, total organic carbon, total nitrogen, and rhizosphere microbial community). Buffalo grass plants from mesocosm- and field-scale phytostabilization trials conducted with tailings from the Iron King Mine and Humboldt Smelter Superfund Site in Dewey-Humboldt, Arizona were analyzed. These tailings are extremely acidic and have arsenic and lead concentrations of 2 4 g kg−1 substrate. Bacterial communities on rhizoplanes and in rhizosphere-associated substrate were characterized using fluorescence in situ hybridization and 16S rRNA gene amplicon sequencing, respectively. The results indicated that the metabolic status of rhizoplane bacterial colonizers is significantly related to plant health. Principal component analysis revealed that root-surface Alphaproteobacteria relative abundance was associated most strongly with substrate pH and Gammaproteobacteria relative abundance associated strongly with substrate pH and plant cover. These factors also affected the phylogenetic profiles of the associated rhizosphere communities. In summary, rhizoplane bacterial colonization patterns are plant specific and influenced by plant status and rhizosphere biogeochemical conditions.

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Use of the atLEAF+ chlorophyll meter for a nondestructive estimate of chlorophyll content

Cited by 34 publications

References 44 publications

A novel method for the estimation of soybean chlorophyll content using a smartphone and image analysis

A novel method for the estimation of soybean chlorophyll content using a smartphone and image analysis

Proximal Optical Sensors for Nitrogen Management of Vegetable Crops: A Review

Bacterial Rhizoplane Colonization Patterns of Buchloe dactyloides Growing in Metalliferous Mine Tailings Reflect Plant Status and Biogeochemical Conditions

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