Nondestructive Estimation of Leaf Nutrient Concentrations in Eucalyptus Plantations

Oliveira, Luiz; Santana, Reynaldo Campos; Oliveira, Márcio Leles Romarco de

doi:10.1590/01047760201925022631

Cited by 6 publications

(4 citation statements)

References 34 publications

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“…In this study, the vegetation index that provided the highest correlation response was found in the red-edge region of the spectrum with a wavelength range of 670 -760 nm (Guo et al, 2018). In the analysis of N and P nutrients, research on eucalyptus leaves also showed the same thing, namely reflectance from the red-edge region wavelengths gave the highest correlation response, however for K nutrients in the green region range (Oliveira et al, 2019). Red-edge is a sharp change in leaf reflectance values in the wavelength range 680 -750 nm which has a close relationship with the chlorophyll and water content in the leaves (Horler et al, 1983) (see Figure 5).…”

Section: Prediction Model Developmentmentioning

confidence: 54%

“…There were 3 leaf nutrients analyzed, so that for each leaf sample, there were 3 dependent variables analyzed. Oliveira et al (2019) revealed that there was a strong relationship between leaf nutrition and leaf reflectance (leaf reflectance value), located in the visible and near infrared regions (400 -900 nm) of the light spectrum. The spectral index was calculated from a combination of 2 independent variables using the Normalized Difference (ND) equation:…”

Section: Prediction Model Developmentmentioning

confidence: 99%

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The Prediction of Nitrogen, Phosphate, and Potassium Contents of Oil Palm Leaf Using Hand-Held Spectrometer

Hariadi,

Sastrohartono,

Krisdiarto

et al. 2024

JTEP-L

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A hand-held spectrometer can be used to evaluate oil palm (Elaeis guineensis Jacq.) leaf nutrient contents without being destructive. This study aims to develop regression equations and analyze the performance of the prediction models for Nitrogen, Phosphate, and Potassium leaf nutrient contents. The dependent variable in this study was the result of the analysis of nutrient contents in frond number 17 which was carried out in the laboratory, while the independent variable was the leaf reflectance value scanned with a hand-held spectrometer. The Normalized Difference approach is used to create a vegetation index from the combination of reflectance values at two wavelengths. Vegetation index with the highest correlation value to the nutrient content of leaves, is used to make a prediction model for leaf nutrients using the Simple Linear Regression. The regression equations formed to predict the contents of nutrients N, P, and K have high R2. The RMSE values of the predicted contents of N, P, and K nutrients, respectively were 0.21, 0.01, and 0.13; and correctness values of those nutrients respectively were 93.29%, 95.5%, and 88.81%. Keywords: Hand-held spectrometer, Oil palm, Prediction, Leaf nutrients contents.

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Section: Prediction Model Developmentmentioning

confidence: 54%

Section: Prediction Model Developmentmentioning

confidence: 99%

The Prediction of Nitrogen, Phosphate, and Potassium Contents of Oil Palm Leaf Using Hand-Held Spectrometer

Hariadi,

Sastrohartono,

Krisdiarto

et al. 2024

JTEP-L

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“…Hybridization under controlled conditions is widely used in the Brazilian forest sector, with the species composing hybrids with other species, such as the expressively used "urograndis". This hybrid is obtained by the cross between Eucalyptus urophylla and Eucalyptus grandis and accounts for 80% of Brazilian eucalypt plantations, being the main material used (FONSECA et al, 2010;PALUDZYSZYN FILHO;SANTOS, 2011;OLIVEIRA;SANTANA;OLIVEIRA, 2019). In contrast, the low genetic diversity associated with the restriction of hybridization found in Eucalyptus microcorys justifies the lack of genetic studies with the species, as well as its incipient use in breeding programs.…”

Section: Resultsmentioning

confidence: 99%

Genetic diversity analysis of two <i>Eucalyptus</i> species using ISSR markers

et al. 2020

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Visando fornecer informações que sirvam de base para estudos de melhoramento genético de Eucalyptus foi realizada a análise da diversidade genética usando marcadores ISSR. As espécies estudadas foram Eucalyptus urophylla e Eucalyptus microcorys, ambas com potencial econômico florestal. Os indivíduos estudados pertencem a um teste de espécies e procedências instalado no ano de 1974 e permanecem isentos de tratos silviculturais. Para as análises foram utilizados nove primers ISSR universais. A partir dos resultados avaliou-se a existência de variação intra e interespecífica por meio da porcentagem de polimorfismo, conteúdo de informação polimórfica (PIC) e distância Euclidiana entre indivíduos. A fim de analisar a distância Euclidiana entre os indivíduos foram feitas a análise de coordenadas principais (PCoA) e análise permutacional de dispersão multivariada (PermDisp) seguida pelo teste de Tukey. Observouse elevada porcentagem de polimorfismo (57,14% para Eucalyptus microcorys e 80,95% para Eucalyptus urophylla). Considerando todos os grupos avaliados, os valores de PIC foram superiores a 0,5 para quatro primers (UBC827, UBC835, UBC841). A variabilidade interna foi significativamente maior na população de Eucalyptus urophylla em relação à Eucalyptus microcorys, o que pode estar associado à maior capacidade do Eucalyptus urophylla em hibridizar naturalmente.

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“…Over the past years, several studies [126,127] have used remote sensing and chemical analyses in estimating foliar nutrient concentrations in plants. However, these studies mostly concentrated on seasonal estimations of nitrogen in grasses.…”

Section: Implications Of Remote Sensing On Wetland Plant Nutrientsmentioning

confidence: 99%

Characterizing Leaf Nutrients of Wetland Plants and Agricultural Crops with Nonparametric Approach Using Sentinel-2 Imagery Data

et al. 2021

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In arid environments of the world, particularly in sub-Saharan Africa and Asia, floodplain wetlands are a valuable agricultural resource. However, the water reticulation role by wetlands and crop production can negatively impact wetland plants. Knowledge on the foliar biochemical elements of wetland plants enhances understanding of the impacts of agricultural practices in wetlands. This study thus used Sentinel-2 multispectral data to predict seasonal variations in the concentrations of nine foliar biochemical elements in plant leaves of key floodplain wetland vegetation types and crops in the uMfolozi floodplain system (UFS). Nutrient concentrations in different floodplain plant species were estimated using Sentinel-2 multispectral data derived vegetation indices in concert with the random forest regression. The results showed a mean R2 of 0.87 and 0.86 for the dry winter and wet summer seasons, respectively. However, copper, sulphur, and magnesium were poorly correlated (R2 ≤ 0.5) with vegetation indices during the summer season. The average % relative root mean square errors (RMSE’s) for seasonal nutrient estimation accuracies for crops and wetland vegetation were 15.2 % and 26.8%, respectively. There was a significant difference in nutrient concentrations between the two plant types, (R2 = 0.94 (crops), R2 = 0.84 (vegetation). The red-edge position 1 (REP1) and the normalised difference vegetation index (NDVI) were the best nutrient predictors. These results demonstrate the usefulness of Sentinel-2 imagery and random forests regression in predicting seasonal, nutrient concentrations as well as the accumulation of chemicals in wetland vegetation and crops.

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Nondestructive Estimation of Leaf Nutrient Concentrations in Eucalyptus Plantations

Cited by 6 publications

References 34 publications

The Prediction of Nitrogen, Phosphate, and Potassium Contents of Oil Palm Leaf Using Hand-Held Spectrometer

The Prediction of Nitrogen, Phosphate, and Potassium Contents of Oil Palm Leaf Using Hand-Held Spectrometer

Genetic diversity analysis of two <i>Eucalyptus</i> species using ISSR markers

Characterizing Leaf Nutrients of Wetland Plants and Agricultural Crops with Nonparametric Approach Using Sentinel-2 Imagery Data

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