Leaf hue measurements offer a fast, high-throughput initial screening of photosynthesis in leaves

Majer, Petra; Sass, László; Horváth, Gábor; Hideg, Éva

doi:10.1016/j.jplph.2009.06.015

Cited by 16 publications

(12 citation statements)

References 14 publications

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“…However a significant hue angle reduction was detected by TACT analysis. The significant positive correlation between hue angle and Chl a concentration agrees with Majer et al (2010) . These authors found a significant linear correlation between hue angle and chlorophyll content in tobacco and grapevine leaves having different colours at different stages of senescence.…”

Section: Discussionsupporting

confidence: 81%

Precision phenotyping of imidazolinone-induced chlorosis in sunflower

et al. 2014

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Chlorosis level is a useful parameter to assess imidazolinone resistance in sunflower (Helianthus annuus L.). The aim of this study was to quantify chlorosis through two different methods in sunflower plantlets treated with imazapyr. The genotypes used in this study were two inbred lines reported to be different in their resistance to imidazolinones. Chlorosis was evaluated by spectrophotometrical quantification of photosynthetic leaf pigments and by a bioinformatics-based color analysis. A protocol for pigment extraction was presented which improved pigment stability. Chlorophyll amount decreased significantly when both genotypes were treated with 10 μM of imazapyr. Leaf color was characterized using Tomato Analyzer ® color test software. A significant positive correlation between color reduction and chlorophyll concentration was found. It suggests that leaf color measurement could be an accurate method to estimate chlorosis and infer chlorophyll levels in sunflower plants. These results highlight a strong relationship between imidazolinoneinduced chlorosis and variations in leaf color and in chlorophyll concentration. Both methods are quantitative, rapid, simple, and reproducible. Thus, they could be useful tools for phenotyping and screening large number of plants when breeding for imidazolinone resistance in this species.

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Section: Discussionsupporting

confidence: 81%

Precision phenotyping of imidazolinone-induced chlorosis in sunflower

et al. 2014

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“…Measurements include size and structure of different organs such leaves and shoots ( Bylesjo et al, 2008 ; Weight et al, 2008 ; Jansen et al, 2009 ; Dhondt et al, 2014 ; Apelt et al, 2015 ; Tome et al, 2017 ), grass stalk structure ( Heckwolf et al, 2015 ), seedling size and phenotype ( Walter et al, 2007 ), hypocotyl ( Wang et al, 2009 ), root architecture ( Brooks et al, 2010 ). Applications are available to characterize certain physiological parameters such as chlorophyll content ( Majer et al, 2010 ; Liang et al, 2017 ) or chlorophyll fluorescence ( Jansen et al, 2009 ; Awlia et al, 2016 ; Rungrat et al, 2016 ). To handle large number of plants, automatic phenotyping platforms have been developed, which are able to acquire large sets of data, characterizing plant growth and physiological status in a non-destructive manner ( Dhondt et al, 2013 ; Feher-Juhasz et al, 2014 ; Junker et al, 2014 ; Mutka and Bart, 2014 ; Awlia et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

“…Spectral reflectance is another valuable tool to determine chlorophyll content in plants ( Gitelson et al, 2003 ). Analysis of RGB color components of digital photographs was employed to determine chlorophyll contents in different plants and environmental conditions ( Adamsen et al, 1999 ; Majer et al, 2010 ; Riccardi et al, 2014 ; Awlia et al, 2016 ; Liang et al, 2017 ). While non-invasive optical methods are useful to estimate leaf chlorophyll contents, calibration for different species and leaf types is essential to get reliable results ( Richardson et al, 2002 ).…”

Section: Introductionmentioning

confidence: 99%

“…While non-invasive optical methods are useful to estimate leaf chlorophyll contents, calibration for different species and leaf types is essential to get reliable results ( Richardson et al, 2002 ). Hue values of leaf color were previously shown to correlate with chlorophyll content and are suitable to estimate photochemical yield of photosystem II ( Majer et al, 2010 ; Sass et al, 2012 ; Minervini et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

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PlantSize Offers an Affordable, Non-destructive Method to Measure Plant Size and Color in Vitro

et al. 2018

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Plant size, shape and color are important parameters of plants, which have traditionally been measured by destructive and time-consuming methods. Non-destructive image analysis is an increasingly popular technology to characterize plant development in time. High throughput automatic phenotyping platforms can simultaneously analyze multiple morphological and physiological parameters of hundreds or thousands of plants. Such platforms are, however, expensive and are not affordable for many laboratories. Moreover, determination of basic parameters is sufficient for most studies. Here we describe a non-invasive method, which simultaneously measures basic morphological and physiological parameters of in vitro cultured plants. Changes of plant size, shape and color is monitored by repeated photography with a commercial digital camera using neutral white background. Images are analyzed with the MatLab-based computer application PlantSize, which simultaneously calculates several parameters including rosette size, convex area, convex ratio, chlorophyll and anthocyanin contents of all plants identified on the image. Numerical data are exported in MS Excel-compatible format. Subsequent data processing provides information on growth rates, chlorophyll and anthocyanin contents. Proof-of-concept validation of the imaging technology was demonstrated by revealing small but significant differences between wild type and transgenic Arabidopsis plants overexpressing the HSFA4A transcription factor or the hsfa4a knockout mutant, subjected to different stress conditions. While HSFA4A overexpression was associated with better growth, higher chlorophyll and lower anthocyanin content in saline conditions, the knockout hsfa4a mutant showed hypersensitivity to various stresses. Morphological differences were revealed by comparing rosette size, shape and color of wild type plants with phytochrome B (phyB-9) mutant. While the technology was developed with Arabidopsis plants, it is suitable to characterize plants of other species including crops, in a simple, affordable and fast way. PlantSize is publicly available (http://www.brc.hu/pub/psize/index.html).

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“…Digital cameras provide a red, green, and blue digital image that can be used to calculate spectral indices or hue values. Chlorophyll meter values (Richardson et al 2002), spectral indices (Steele et al 2008), and hue values (Majer et al 2010) have been shown to be significantly related to foliar Chl ab .…”

Section: Introductionmentioning

confidence: 99%

Simple assessment of needleleaf and broadleaf chlorophyll content using a flatbed color scanner

EitelJan

VierlingLee

LongDan³

et al. 2011

Can. J. For. Res.

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Total chlorophyll a and b content (Chl ab ) of leaves is an important indicator of the photosynthetic capacity, nutritional condition, and health status of plants. Developing low-cost, easily accessible methods for estimating foliar Chl ab of needleleaf species would enable a broad range of forestry applications. We evaluated data acquired using an off-the-shelf flatbed color scanner to assess its utility in quantifying needleleaf Chlab. Red and green digital numbers (DN) of the scan image were obtained from needle leaves of oneseed juniper (Juniperus monosperma (Engelm.) Sarg.) and piñon pine (Pinus edulis Engelm.) in addition to two broadleaf species for comparison purposes. Values of laboratory-determined Chlab (range 1.5-64.0 µg·cm -2 ) were then predicted using the DN values from the scanner-imaged needle leaves as a regression estimator. The red or green DN values of the scanner-imaged needle leaves were curvilinearly related to Chlab with an r 2 of 0.67 (RMSE = 4.72 µg·cm -2 , p < 0.001) for juniper needles and an r 2 of 0.54 (RMSE = 5.51 µg·cm -2 , p < 0.001) for pine needles. Although our results suggest that flatbed scanner derived Chlab estimates are not suitable for applications where highly accurate Chlab estimates are required, the technique is likely to be a useful tool for forest practitioners in managing tree nutrition and health.Résumé : La teneur totale en chlorophylle a et b (Chl ab ) des feuilles est un important indicateur de la capacité photosynthé-tique, des conditions nutritives et de l'état de santé des plantes. Le développement de méthodes peu coûteuses et facilement accessibles pour estimer la teneur en Chlab foliaire des espèces conifériennes ouvrirait la porte à une vaste gamme d'applications en foresterie. Nous avons examiné les données acquises à l'aide d'un lecteur optique couleur à plat standard afin d'é-valuer l'utilité de cet appareil pour quantifier la teneur en Chlab foliaire. Les valeurs numériques du rouge et du vert (DN) de l'image numérisée ont été obtenues à partir des aiguilles de genévrier monosperme (Juniperus monosperma (Engelm.) Sarg.) et de pin du Colorado (Pinus edulis Engelm.), ainsi que de deux espèces feuillues à des fins de comparaison. Les valeurs de Chlab mesurées en laboratoire (étendue 1,5-64,0 µg·cm -2 ) ont ensuite été prédites à l'aide des valeurs DN provenant des images des aiguilles produites par le lecteur optique et utilisées comme estimateur de régression. Les valeurs DN du rouge et du vert de l'image numérisée des aiguilles étaient reliées de façon curviligne à la teneur en Chlab avec un r 2 de 0,67 (écart-type = 4,72 µg·cm -2 , p < 0,001) pour les aiguilles de genévrier et un r 2 de 0,54 (écart-type = 5,51 µg·cm -2 , p < 0,001) pour les aiguilles de pin. Bien que nos résultats indiquent que les estimations des teneurs en Chlab dérivées d'un lecteur optique à plat ne conviennent pas pour des applications qui exigent des mesures très précises de la teneur en Chlab, la technique a des chances de devenir un outil utile pour les praticiens forestiers ...

show abstract

Leaf hue measurements offer a fast, high-throughput initial screening of photosynthesis in leaves

Cited by 16 publications

References 14 publications

Precision phenotyping of imidazolinone-induced chlorosis in sunflower

Precision phenotyping of imidazolinone-induced chlorosis in sunflower

PlantSize Offers an Affordable, Non-destructive Method to Measure Plant Size and Color in Vitro

Simple assessment of needleleaf and broadleaf chlorophyll content using a flatbed color scanner

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