Predicting Cherry Leaf Chlorophyll Concentrations Based on Foliar Reflectance Spectra Variables

Xia, Lu; Peng, Hai

doi:10.1007/s12524-014-0397-1

Cited by 8 publications

(8 citation statements)

References 47 publications

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“…of stomata/cm 2 ; S I = { S /( E + S )} × 100, where S = number of stomata for unit area, E = number of epidermal cells per unit area. For chlorophyll estimation, 0.5 g fresh leaf sample was extracted in 80% acetone (25 mL) and estimated spectrophotometrically at 645 and 663 nm after 48 h dark incubation at 4 °C [30].…”

Section: Methodsmentioning

confidence: 99%

Improved micropropagation and in vitro fruiting of Morus indica L. (K-2 cultivar)

Gogoi

Borua

Al-Khayri

2017

Journal of Genetic Engineering and Biotechnology

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A rapid economically viable micropropagation protocol has been developed in the present work for Morus indica L. (K-2 cultivar) utilizing the readily available nodal explants. Explants were established on different plant growth regulators (PGRs) either individually or in combinations. MS medium containing 1 mg L−1 Kinetin (Kin) showed the best shoot multiplication with 4.8 ± 0.23 cm average shoot length and 6.5 ± 0.03 number of internodes. Regenerated shoots were elongated in MS medium supplemented with 1.5 mg L−1 gibberellic acid (GA3). Elongated shoots cultured in full-strength MS medium supplemented with 1 mg L−1 2,4-dichlorophenoxyacetic acid (2,4-D) for one week and then cultured in half-strength MS proved to be more effective in rooting compared to other PGRs in significantly shorter duration. Micropropagated plants transferred to soil fortified with the quarter-strength of MS salts along with humidity regulation process showed 89% survival frequency. In vitro flowering in the regenerated shoots was also observed in the MS medium supplemented with (1.5 mg L−1) Kin and carbon source replaced by commercial sugar cubes. This method can be effectively used for in vitro culture of M. indica in commercial scale owing to its enhanced quality and reduced time frame.

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Section: Methodsmentioning

confidence: 99%

Improved micropropagation and in vitro fruiting of Morus indica L. (K-2 cultivar)

Gogoi

Borua

Al-Khayri

2017

Journal of Genetic Engineering and Biotechnology

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“…About 0.2 g apple leaves were cut from each leaf sample for grinding in 6 mL 95% alcohol with a small amount of quartz sand and calcium carbonate powder, until the grinding blade into liquid, then filtered by adding alcohol for a total of 25 mL in each tube [20]. Each sample for analysis of chlorophyll concentration was placed in a cuvette and absorbance was measured between 200 nm and 1000 nm with 2.0 nm wavelength accuracy and 1nm wavelength repeatability using a UV-2100 UV/V is Spectrophotometer [21]. For each sample, three replicates were analyzed.…”

Section: Chemical Analysis Of Chlorophyll Concentrationsmentioning

confidence: 99%

Estimating Chlorophyll Content of Apple Leaves Based on Different Scales in Differential Window

Han

Zhu

Wang

et al. 2015

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The aims of this study are to explore the effect of different scales in the high spectral data on the estimation of chlorophyll content of apple leaves, to find out the optimal differential window scale and to establish a model for estimating the chlorophyll content of apple leaves. Taking the apple leaves as the research object, the actual spectral reflectance of the leaves was determined by the ASD Field Spec 3 spectrometer and the chlorophyll contents of the leaves were measured in the laboratory. Firstly, the differential transformations from 1 to 30 window scales were done for actual spectral data respectively, and correlation analyses were done between apple leaf chlorophyll content and differential data, then two sensitive wavelengths were chosen under each window. Secondly, taking five consecutive differential windows as a group, the best differential window was selected in each group. Lastly, after the conversion of two sensitive wavelengths in six differential windows, relationship analyses between chlorophyll content of apple leaves and two sensitive wavelengths were done, then two new parameters with the largest correlation coefficient were chosen to establish estimation model. Results showed that with increasing differential window, the determination coefficient (R 2) of estimation model decreased after an initial increase, the tipping point was at the 13th differential window scale. Testing the partial least squares (PLS) model and the stepwise regression (SR) model established under differential window scale of the 13th, the R 2 of the SR model was higher than that of the PLS model. The RMSE and RE% of the SR model were lower than that of the PLS model, which showed that SR model was more suitable to estimate chlorophyll content.

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“…Jin et al analyzed the spectrum of rice leaves and the corresponding chlorophyll content and found that the sensitive bands related to the chlorophyll content of rice leaves were 450-686 and 750-780 nm [10]. Lu et al analyzed the correlation between the spectrum of cherry leaves and chlorophyll content after making various changes [11]. Using stepwise linear regression analysis, it was found that the variable log(1/R741) was highly correlated with the chlorophyll of cherry leaves.…”

Section: Introductionmentioning

confidence: 99%

Winter Wheat SPAD Value Inversion Based on Multiple Pretreatment Methods

et al. 2022

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SPAD value was measured by a portable chlorophyll instrument, which can reflect the relative chlorophyll content of vegetation well. Chlorophyll is an important organic chemical substance in plants that acquires and transmits energy during photosynthesis. The continuous spectral curve of winter wheat can be obtained rapidly in a specific band range by using hyperspectral remote sensing technology to estimate the SPAD value of winter wheat, which is of great significance to the growth monitoring and yield estimation research of winter wheat. In this study, with winter wheat as the research object, the spectral data and corresponding SPAD value in different growth stages were used as the data source, 20 kinds of data preprocessing spectra and sensitive spectral indices set the data as model input values, the partial least square regression (PLSR) model was established to estimate the SPAD value, and the model estimation results of different model input values at different growth stages were compared in detail. The results showed that the set of sensitive spectral indices selected in this study as input values can effectively improve the accuracy and stability of the PLSR model. In addition, the effects of 20 spectral data pretreatment methods on the estimation results of the SPAD value were compared and analyzed in different growth stages. It was found that the spectral data pretreated by the combination of wavelet packet denoising, first-order derivative transformation and principal component analysis can improve the accuracy and stability of PLSR model, and it is suitable for all growth stages. The results also showed that the estimation model is highly sensitive to the standard deviation of the SPAD value (STDchl) in sample sets. When the standard deviation is greater than 5.5 SPAD, the larger the STDchl is, the higher the model estimation accuracy is, and the more stable the model is. At this time, the model estimation accuracy is higher (R2V is greater than 0.5, ratio of performance to deviation is greater than 1.4), which can meet the estimation requirements of the SPAD value.

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Predicting Cherry Leaf Chlorophyll Concentrations Based on Foliar Reflectance Spectra Variables

Cited by 8 publications

References 47 publications

Improved micropropagation and in vitro fruiting of Morus indica L. (K-2 cultivar)

Improved micropropagation and in vitro fruiting of Morus indica L. (K-2 cultivar)

Estimating Chlorophyll Content of Apple Leaves Based on Different Scales in Differential Window

Winter Wheat SPAD Value Inversion Based on Multiple Pretreatment Methods

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