Determination of optimal levels of Ca and Mg for single-stemmed roses grown in closed aeroponic system

Yeo, Kyung-Hwan; Lee, Joohyun; Lee, Yong-Beom

doi:10.1007/s13580-013-0134-7

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…The handling adopted to restore the nutrient solution of the T1 and T2 treatments exerted influence on the nutrient absorption, since this replacement was performed based on the electrical conductivity and the absorbed volume of the solution. According to Yeo et al (2013), this practice, although very usual, does not allow the efficient diagnosis of nutrient excesses or deficiencies in the nutrient solution, which may lead to an imbalance in the nutrient solution. When measuring the electrical conductivity of a nutrient solution after circulation by plant roots, Ca, Mg and S, which are the elements with the lowest absorption rate, are measured mainly, in contrast to N, P, K and Mn (Bugbee, 2004).…”

Section: Treatmentsmentioning

confidence: 99%

Influence of the use of wastewater on nutrient absorption and production of lettuce grown in a hydroponic system

Carvalho

Bastos

Souza

2018

Agricultural Water Management

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The aim of this research was to evaluate the nutrient absorption and the fresh mass of lettuce plants cultivated using domestic wastewater in a hydroponic system during winter and summer seasons. The hydroponic system used was the Nutrient Film Technique with three treatments: 1) drinking water and chemical fertilizers (T1): 2) wastewater supplemented with chemical fertilizers (T2): and 3) only wastewater (T3) in a completely randomized experimental design with four replicates. The wastewater was previously characterized before being used in the treatments in order to quantify the need for nutrient supplementation in the T2 treatment. To determine the fresh mass, dry mass and nutrient absorption, three whole plant samples of each plot were collected at 1, 7, 14 and 21 days after transplanting. The nutrient absorption occurred according to a growing polynomial function for all treatments and most of the elements throughout the two cycles of the crop, except for potassium and magnesium in the T3 treatment in the winter crop. The results of fresh mass of the plant, pH and electrical conductivity of nutrient solutions were submitted to 2-way ANOVA, considering winter and summer as the first factor and treatments as the second one. A significant interaction between the factors for fresh mass and electrical conductivity was observed, and for that reason the average were submitted to Tukey test (p < 0.05%). For T1 and T2 treatments, significant differences were found between the average of the fresh mass of winter and summer, with higher values in winter. For the T3 treatment, no difference was found between the evaluated periods, but there was a significant difference in relation to the other treatments in both periods. The plants of this last treatment had lower fresh mass, less accumulation of nutrients and visual symptoms of nutritional deficiency. Under the experimental conditions, it was concluded that there was no difference in the nutrient absorption between the T1 and T2 treatment, but in the T3 treatment, the absorption was slower and smaller, demonstrating that it is necessary to supplement the wastewater with nutrients.

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Section: Treatmentsmentioning

confidence: 99%

Influence of the use of wastewater on nutrient absorption and production of lettuce grown in a hydroponic system

Carvalho

Bastos

Souza

2018

Agricultural Water Management

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“…Besides, the content of Ca was 70 mg of 100 g leaf lettuce (Krzebietke & Sienkiewicz, ). However, water is one of the important factors to decide leaf lettuce growth, and this factor also affected the Ca content of leaf lettuce (Yeo, Lee, & Lee, ). In addition, precise irrigation is also a requirement for the development of modern intelligent agriculture.…”

Section: Introductionmentioning

confidence: 99%

Visualization research of moisture content in leaf lettuce leaves based on WT‐PLSR and hyperspectral imaging technology

Zhou

Sun

Mao

et al. 2017

J Food Process Engineering

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Fast and effective visualization research of leaf lettuce leaves was particularly important in modern fine agriculture irrigation. Therefore, hyperspectral imaging technology was used to test the moisture content in leaf lettuce sample. A method involving wavelet transform coupled with partial least squares regression (WT‐PLSR) was proposed to extract characteristic wavelengths, build models, and evaluate characteristic wavelengths. Hyperspectral imaging data of 200 leaf lettuce leaves of five moisture gradients were obtained using hyperspectral imaging instrument. The whole region of leaf lettuce sample was selected as region of interest (ROI) to extract the hyperspectral data using sheffield index, image segment, and masking. To reduce noise interference, Savitzky–Golay (SG) algorithm was used to manage spectral data. Besides, WT‐PLSR algorithm was used to select effective feature wavelengths, build detection model, and evaluate characteristic wavelengths. The best prediction model of moisture content in leaf lettuce sample was PLSR model (RMSEP = 0.1688, Rp2=0.8307) building by characteristic wavelength extracted from fourth layers of wavelet decomposition, and it was applied to achieve the distribution of moisture content in leaf lettuce leaves. Hyperspectral imaging technology coupled with WT‐PLSR algorithm can effectively realize the quantitative detection of moisture content in leaf lettuce sample, and visualizing distribution map of moisture content in leaf lettuce leaves offered a more intuitive and comprehensive assessment of moisture contents. Practical applications Well understanding moisture content in leaf lettuce leaves is very important for revelation of novel biological function and calcium (Ca) content. To facilitate more intuitively and comprehensively detect the moisture content in leaf lettuce leaves, a method involving wavelet transform coupled with partial least squares regression (WT‐PLSR) was proposed to extract characteristic wavelengths, build models, and evaluate characteristic wavelengths. It confirms that the WT‐PLSR algorithm is feasible and effective for building models of different moisture contents in leaf lettuce leaves, and visualizing distribution map of leaf lettuce leaves offered a more intuitive and comprehensive assessment of moisture contents.

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Evaluation of the effects of late-season fertilization on the growth, physiology, and nutritional status of Alnus formosana (Burkill) Makino

et al. 2022

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Determination of optimal levels of Ca and Mg for single-stemmed roses grown in closed aeroponic system

Cited by 6 publications

References 15 publications

Influence of the use of wastewater on nutrient absorption and production of lettuce grown in a hydroponic system

Influence of the use of wastewater on nutrient absorption and production of lettuce grown in a hydroponic system

Visualization research of moisture content in leaf lettuce leaves based on WT‐PLSR and hyperspectral imaging technology

Evaluation of the effects of late-season fertilization on the growth, physiology, and nutritional status of Alnus formosana (Burkill) Makino

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