The Relationship Between Iron and Nitrogen Concentrations Based On Kjeldahl Method and SPAD-502 Readings in Grapevine (Vitis vinifera L. cv. ‘Sultana Seedless’)

Ateş, Fadime; Kaya, Özkan

doi:10.1007/s10341-021-00580-8

Cited by 15 publications

(10 citation statements)

References 39 publications

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“…Compared to ordinary broad-leaf trees, the chlorophyll content of S. vulgaris was generally low. This may be because the leaf type of S. vulgaris is coniferous and the measurement principle of the chlorophyll meter is more suitable for broad-leaf trees (Ates and Kaya, 2021). Even when leaves were covered in small holes, there were some gaps or the leaves artificially integrated into a cluster.…”

Section: Discussionmentioning

confidence: 99%

Study of the spectral characters–chlorophyll inversion model of Sabina vulgaris in the Mu Us Sandy Land

et al. 2023

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As the dominant shrub community plant in the Mu Us Sandy Land, S. vulgaris is the key factor of ecological environment restoration in the Mu Us Sandy Land, It is of great significance to explore the estimation and inversion of content based on spectrum for ecological environment evaluation and intervention in Mu Us Sandy Land. The SVC HR-1024 portable feature spectrometer and SPAD 502 chlorophyll meter were used to study Mu Us Sandy Land of S. vulgaris. The best band is screened by correlation matrix method, the best vegetation index is screened by Structural Equation Modeling model, and then the best inversion model is established by different mathematical modeling methods. Results revealed that the vegetation indices and chlorophyll content were correlated, combining the six vegetation indices revealed that 610–690nm and 700–940 nm were the bands with the highest correlation. In the selection of optimal vegetation index, NDVI, ratio vegetation index and mNDVI perform best and are suitable for subsequent modeling. Of the four models, the partial least squares model had the best fitting effect (R2 > 0.91). The univariate linear regression model had the simplest processing procedure, but its accuracy was unstable (R2 = 0.1–0.9). multivariate stepwise regression accuracy is also appropriate (R2 > 0.8). The stability of BP neural network modeling is not high. Compare the four methods, PLS and multivariate stepwise regression have their own advantages, and the accuracy is higher, you can make a choice according to the demand as the late modeling method.

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Section: Discussionmentioning

confidence: 99%

Study of the spectral characters–chlorophyll inversion model of Sabina vulgaris in the Mu Us Sandy Land

et al. 2023

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“…Plant samples were digested using hydrogen peroxide and sulfuric acid for NPK determinations [ 42 ]. N was determined using the Kjeldahl method [ 43 ]. P was extracted and determined spectrophotometrically as blue molybdate-phosphate complexes [ 44 ], and K was measured via flame photometry.…”

Section: Methodsmentioning

confidence: 99%

Effects of Fertilization Approaches on Plant Development and Fertilizer Use of Citrus

Chen

et al. 2022

Plants

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Fertilization is an important part of citrus crop management. However, limited details are available about the fertilization approach on citrus plant development. A pot experiment for the fertilization approaches and fertigation levels were conducted in this study. Four fertilization approaches, namely, drip fertigation (DF), broadcast fertilization (CK+), hole fertilization (HF) and pour fertilization (PF) were tested. The fertigation level treatment included 100% (DF-337.5), 80% (DF-270), 60% (DF-202.5) and 40% (DF-135) fertilizer supply with DF, and the 100% fertilizer supply with broadcast fertilization were served as control (CK). The results showed that DF not only increased the absorptions of nitrogen (N), phosphorus (P) and potassium (K) but also promoted citrus plant height, stem diameter and dry weight. In fruit quality, DF had the highest fruit total soluble solid (TSS) and titratable acidity (TA) contents. For fertilizer loss, DF had the lowest N and K leaching losses of 9.26% and 4.05%, respectively, and the lowest N and K runoff losses among the approaches. Isotopic tracing with 15N indicated that DF had the highest fertilizer use efficiency. Based on the analysis of fertigation levels, DF approach with 60% fertilizer reduction could improve citrus plant development. Therefore, DF promoted citrus plant growth and fruit quality by accelerating fertilizer utilization and impairing fertilizer loss. The fertilizer amount in citrus production could be reduced significantly using DF.

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“…Therefore, by measuring the nitrogen content in the substance, the total protein content in the substance can be estimated. The main principle of this method is to digest with concentrated sulfuric acid, use catalysts and warming agents to accelerate the decomposition of organic matter, convert organic nitrogen into ammonia in the solution, and finally titrate the distilled ammonia with standard acid [40][41][42][43] .…”

Section: Kjeldahl Methodsmentioning

confidence: 99%

Method for detecting soil total nitrogen contents based on pyrolysis and artificial olfaction

Zhu

et al. 2022

International Journal of Agricultural and Biological Engineering

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Soil nitrogen is an essential nutrient element for crop growth and development, and an important indicator of soil fertility characteristics. This study proposed a method based on pyrolysis and artificial olfaction to quickly and accurately determine the soil total nitrogen (STN) content. A muffle furnace was used to pyrolyze the soil samples, and ten different types of oxide semiconductor gas sensors were used to construct a sensor array to detect the soil samples' pyrolysis gas. The response curves of the sensors were tested at pyrolysis temperatures of 200°C, 300°C, 400°C, and 500°C and at pyrolysis times of 1 min, 3 min, 5 min, and 10 min to obtain the optimal pyrolysis state of the soil samples. The optimal pyrolysis temperature was 400°C, and the pyrolysis time was 3 min. The response area, maximum value, average differential coefficient, variance value, maximum gradient value, average value, and 8th-second transient value of the sensor response curve were extracted to construct an artificial olfactory feature space of 121×10×7 (121 soil samples, ten sensor numbers, seven extracted eigenvalues). Back-propagation neural network algorithm (BPNN), partial least squares regression algorithm (PLSR), and partial least squares regression combined with back-propagation neural network algorithm (PLSR-BPNN) were used to establish a prediction model of artificial olfactory feature space and STN content. Moreover, coefficient of determination (R 2 ), root mean square error (RMSE), and the ratio of performance to deviation (RPD) were used as the performance indicators of the prediction results. The test results showed that the R 2 of the PLSR, BPNN, and PLSR-BPNN models were 0.89033, 0.81185, and 0.92186, and the RMSE values were 0.24297, 0.37370, and 0.21781, and the RPD were 2.9964, 1.9482, and 3.3426, respectively. The model established by the PLSR-BPNN algorithm has the highest R 2 and RPD and the smallest RMSE, can achieve the accurate prediction of STN content, and therefore the model is rated as "excellent". The detection method in this study achieves a low-cost, rapid, and accurate determination of STN content, and provides a new reference for the measurement of STN.

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The Relationship Between Iron and Nitrogen Concentrations Based On Kjeldahl Method and SPAD-502 Readings in Grapevine (Vitis vinifera L. cv. ‘Sultana Seedless’)

Cited by 15 publications

References 39 publications

Study of the spectral characters–chlorophyll inversion model of Sabina vulgaris in the Mu Us Sandy Land

Study of the spectral characters–chlorophyll inversion model of Sabina vulgaris in the Mu Us Sandy Land

Effects of Fertilization Approaches on Plant Development and Fertilizer Use of Citrus

Method for detecting soil total nitrogen contents based on pyrolysis and artificial olfaction

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