Chlorophyll index, photochemical reflectance index and chlorophyll fluorescence measurements of rice leaves supplied with different N levels

Shrestha, Suchit Prasad; Brueck, Holger; Asch, Folkard

doi:10.1016/j.jphotobiol.2012.04.008

Cited by 77 publications

(43 citation statements)

References 48 publications

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“…Drought [30,93], temperature stress [87,93], low nitrogen concentration [91,94], iron deficiency [95], high altitude [96], high ultraviolet A/B [97,98] and disease [99][100][101][102] can potentially induce biochemical and physiological changes (e.g., chlorophyllic and carotenoid contents, xanthophyll cycle and NPQ) and inhibit the photochemistry of PSII, thus leading to a decrease in PRI, which was more apparent in young than in mature leaves as cadmium stress increased [103]. Variations in the angle and direction of illumination [104] and instrumental FWHM (full width at half-maximum) [69] can also change the optical properties, which then influence PRI values.…”

Section: Foliar Levelmentioning

confidence: 99%

Affecting Factors and Recent Improvements of the Photochemical Reflectance Index (PRI) for Remotely Sensing Foliar, Canopy and Ecosystemic Radiation-Use Efficiencies

et al. 2016

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Accurately assessing terrestrial gross primary productivity (GPP) is crucial for characterizing the climate-carbon cycle. Remotely sensing the photochemical reflectance index (PRI) across vegetation functional types and spatiotemporal scales has received increasing attention for monitoring photosynthetic performance and simulating GPP over the last two decades. The factors confounding PRI variation, especially on long timescales, however, require the improvement of PRI understanding to generalize its use for estimating carbon uptake. In this review, we summarize the most recent publications that have reported the factors affecting PRI variation across diurnal and seasonal scales at foliar, canopy and ecosystemic levels; synthesize the reported correlations between PRI and ecophysiological variables, particularly with radiation-use efficiency (RUE) and net carbon uptake; and analyze the improvements in PRI implementation. Long-term variation of PRI could be attributed to changes in the size of constitutive pigment pools instead of xanthophyll de-epoxidation, which controls the facultative short-term changes in PRI. Structural changes at canopy and ecosystemic levels can also affect PRI variation. Our review of the scientific literature on PRI suggests that PRI is a good proxy of photosynthetic efficiency at different spatial and temporal scales. Correcting PRI by decreasing the influence of physical or physiological factors on PRI greatly strengthens the relationships between PRI and RUE and GPP. Combining PRI with solar-induced fluorescence (SIF) and optical indices for green biomass offers additional prospects.

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Section: Foliar Levelmentioning

confidence: 99%

Affecting Factors and Recent Improvements of the Photochemical Reflectance Index (PRI) for Remotely Sensing Foliar, Canopy and Ecosystemic Radiation-Use Efficiencies

et al. 2016

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“…Connections between PRI and other photosynthetic parameters, including a quantum yield of photosystem II (∆F/F m ') [38,41,42,[45][46][47][48][49], photosynthetic light use efficiency (LUE) [3,48,[50][51][52][53][54][55], and net CO 2 uptake [47,[56][57][58][59], are actively being investigated. However, the results of these different works vary considerably, e.g., the linear correlation coefficients between PRI and NPQ can range from −0.90 [38,49,60] to +0.86 [41] in different investigations. It is probable that differences are mostly connected to the various conditions of the investigations, e.g., PRI seems to be more responsive to chlorophyll content then to the xanthophyll cycle over long time periods [48].…”

Section: Introductionmentioning

confidence: 99%

Connection of the Photochemical Reflectance Index (PRI) with the Photosystem II Quantum Yield and Nonphotochemical Quenching Can Be Dependent on Variations of Photosynthetic Parameters among Investigated Plants: A Meta-Analysis

Sukhova

Sukhov

2018

Remote Sensing

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Abstract:The development of spectral methods of remote sensing, including measurement of a photochemical reflectance index (PRI), is a prospective trend in precision agriculture. There are many works which have investigated the connection between photosynthetic parameters and PRI; however, their results varied and were sometimes contradictory. For this paper, we performed a meta-analysis of works in this field. Here, only linear correlations of PRI with photosynthetic parameters-including quantum yield of photosystem II (∆F/Fm'), nonphotochemical quenching of chlorophyll fluorescence (NPQ), and light use efficiency (LUE)-were investigated. First, it was shown that the correlations were dependent on conditions of PRI measurements (leaf or canopy; artificial light or sunlight). Second, it was shown that a minimal level of the photosynthetic stress, and the variation of this level among investigated plants, can influence the linear correlation of PRI with ∆F/Fm' and NPQ; the effect was dependent on conditions of measurements. In contrast, the distribution of LUE among plants did not influence its correlation with PRI. Thus, the meta-analysis shows that the distribution of photosynthetic parameters among investigated plants can be an important factor that influences the efficiency of remote sensing on the basis of the PRI measurement.

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“…An imbalance between biosynthesis and catabolic turnover of green pigments in plant tissues indicates profound inhibition of photosynthesis process (Heng-Moss et al, 2003;Smith et al, 2005;Botha et al, 2006;Diaz-Montano et al, 2007;Goławska et al, 2010). Portable leaf-clip-type chlorophyll meters perform rapid, repetitive and nondestructive estimates of Chl concentrations in living plants (Hawkins et al, 2009;Jinwen et al, 2009;Coste et al, 2010;Gholizadeh et al, 2011;Shrestha et al, 2012;Ghosh et al, 2013). The use of these reliable and advanced instruments for measurement of green pigment content is not restricted to controlled laboratory bioassays but can be extended to experiments in the plants' natural environment (Uddling et al, 2007;Ruiz-Espinoza et al, 2010;Neto et al, 2011;Cerovic et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…The use of these reliable and advanced instruments for measurement of green pigment content is not restricted to controlled laboratory bioassays but can be extended to experiments in the plants' natural environment (Uddling et al, 2007;Ruiz-Espinoza et al, 2010;Neto et al, 2011;Cerovic et al, 2012). SPAD-502 chlorophyll meters have been used to obtain accurate measurements in arbitrary SPAD units reflecting absolute foliar Chl concentrations (Arunyanark et al, 2008;Marenco et al, 2009;Mielke et al, 2010;Ling et al, 2011;Shrestha et al, 2012). A significant linear relationship between SPAD readings and leaf nitrogen status in tissues of monocotyledonous species has been documented (Rostami et al, 2008;Swain and Sandip, 2010;Liu et al, 2012;Ghosh et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Chlorophyll Content of Aphid-Infested Seedling Leaves of Fifteen Maize Genotypes

Sytykiewicz¹,

Czerniewicz²,

Sprawka³

et al. 2013

Acta Biologica Cracoviensia Series Botanica

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We measured the total chlorophyll (Chl a+b) content in seedling leaves of fifteen maize cultivars infested by two studied aphid species (oligophagous Rhopalosiphum padi L., monophagous Sitobion avenae F.) 7 and 14 days after the beginning of infestation, using a SPAD-502 chlorophyll meter. Chlorophyll loss was more severe in R. padi-infested than in S. avenae-infested plants. Chlorophyll depletion was greater after long-term (14 days) than after short-term aphid infestation in the investigated host systems. Seedlings of Złota Karłowa and Tasty Sweet were more damaged by aphid feeding; Ambrozja and Płomyk plants were less damaged by aphid feeding.K Ke ey y w wo or rd ds s: : Total chlorophyll (Chl a+b) content, SPAD units, maize, Rhopalosiphum padi, Sitobion avenae.

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Chlorophyll index, photochemical reflectance index and chlorophyll fluorescence measurements of rice leaves supplied with different N levels

Cited by 77 publications

References 48 publications

Affecting Factors and Recent Improvements of the Photochemical Reflectance Index (PRI) for Remotely Sensing Foliar, Canopy and Ecosystemic Radiation-Use Efficiencies

Affecting Factors and Recent Improvements of the Photochemical Reflectance Index (PRI) for Remotely Sensing Foliar, Canopy and Ecosystemic Radiation-Use Efficiencies

Connection of the Photochemical Reflectance Index (PRI) with the Photosystem II Quantum Yield and Nonphotochemical Quenching Can Be Dependent on Variations of Photosynthetic Parameters among Investigated Plants: A Meta-Analysis

Chlorophyll Content of Aphid-Infested Seedling Leaves of Fifteen Maize Genotypes

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