Effects of Nitrogen Deficiency and Resupply on the Absorption of Mineral Nutrients by Tangor Cultivar ‘Shiranuhi’ (Citrus unshiu × C. sinensis) Grown in a Hydroponic System

Heo, Seong; Park, Won-Pyo

doi:10.3390/plants11182351

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…Hydroponic systems are popular because they make fertiliser solution management easier and offer an acceptable supply of mineral elements in soluble form. Hydroponics is great for determining the correct nutrient concentrations for plants and researching the consequences of nutrient lack [18].…”

Section: Methodsmentioning

confidence: 99%

Citrus Tree Nutrient Deficiency Classification: A Comparative Study of ANN and SVM Using Colour-Texture Features in Leaf Images

Kamelia,

Khawa,

Nurmalasari

et al. 2024

IJCDS

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Nutrient deficiency in Citrus reticulata (mandarin orange) plants is a critical agricultural issue that has far-reaching implications. Such deficiencies not only compromise the overall health and vigor of the mandarin orange trees but also render them more susceptible to diseases and pest infestations. Addressing this concern is of principal importance to ensure sustainable citrus cultivation and enhance crop yield. In this research, we propose a comprehensive approach to tackle the pervasive problem of nutrient deficiencies in Citrus Reticulata var. Fremont leaves. Our approach leverages cutting-edge techniques in image processing and machine learning to provide accurate and efficient detection of these deficiencies. The image data is divided into four classes: N Deficiency, P Deficiency, K Deficiency and Normal. The file sizes are compressed using a lossless compression method, resulting in an average file size reduction of 96.99%. The second stage involves applying segmentation processes to the images using the Canny and Sauvola methods.Third stage involves extracting colour and texture features from the images. The feature values will be used for the classification process in the next stage. The segmentation process employs two methods, namely Canny and Sauvola, which effectively separate the leaves from the background. The detection process is evident in the feature extraction phase, which utilizes two features: colour and texture.The fourth stage involves the classification process based on the segmentation results methods, performed separately using Artificial Neural Network (ANN) and Support Vector Machine (SVM) methods. These process results in four datasets: Canny-ANN, Canny-SVM, Sauvola-ANN, and Sauvola-SVM. The highest accuracy is achieved by the Sauvola-ANN method, with a value of 93.75%.

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Section: Methodsmentioning

confidence: 99%

Citrus Tree Nutrient Deficiency Classification: A Comparative Study of ANN and SVM Using Colour-Texture Features in Leaf Images

Kamelia,

Khawa,

Nurmalasari

et al. 2024

IJCDS

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“…Plants need nitrogen (N) to synthesize nucleic acids (NAs), amino acids (AAs), proteins, and other N-containing compounds needed to maintain their life cycle. N fertilizers play a vital role in citrus growth and development [ 1 , 2 ]. A positive relationship exists between citrus yield and N accumulation in new shoots in China’s commercial orchards [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…In higher plants, N deficiency has remarkable impacts on a series of physiological and biological processes, including growth, nutrient and water uptake, photosynthesis, pigment biosynthesis, carbon (C) and N metabolism, C and N partitioning between roots and shoots, energy metabolism, lipid metabolism, reactive oxygen species (ROS) formation and Plants 2023, 12, 2680 2 of 24 removal, NA metabolism, phytohormone biosynthesis, cell wall metabolism, senescence, and secondary metabolism [1,[6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Analysis of Metabolome, Transcriptome, and Physiology Revealed the Molecular and Physiological Response of Citrus sinensis Roots to Prolonged Nitrogen Deficiency

Lai

Peng

Rao

et al. 2023

Plants

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Citrus sinensis seedlings were supplied with a nutrient solution containing 15 (control) or 0 (nitrogen (N) deficiency) mM N for 10 weeks. Extensive metabolic and gene reprogramming occurred in 0 mM N-treated roots (RN0) to cope with N deficiency, including: (a) enhancing the ability to keep phosphate homeostasis by elevating the abundances of metabolites containing phosphorus and the compartmentation of phosphate in plastids, and/or downregulating low-phosphate-inducible genes; (b) improving the ability to keep N homeostasis by lowering the levels of metabolites containing N but not phosphorus, upregulating N compound degradation, the root/shoot ratio, and the expression of genes involved in N uptake, and resulting in transitions from N-rich alkaloids to carbon (C)-rich phenylpropanoids and phenolic compounds (excluding indole alkaloids) and from N-rich amino acids to C-rich carbohydrates and organic acids; (c) upregulating the ability to maintain energy homeostasis by increasing energy production (tricarboxylic acid cycle, glycolysis/gluconeogenesis, oxidative phosphorylation, and ATP biosynthetic process) and decreasing energy utilization for amino acid and protein biosynthesis and new root building; (d) elevating the transmembrane transport of metabolites, thus enhancing the remobilization and recycling of useful compounds; and (e) activating protein processing in the endoplasmic reticulum. RN0 had a higher ability to detoxify reactive oxygen species and aldehydes, thus protecting RN0 against oxidative injury and delaying root senescence.

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Integration of physiology, metabolome and transcriptome for understanding of the adaptive strategies to long-term nitrogen deficiency in Citrus sinensis leaves

Peng

Ren

Lai

et al. 2023

Scientia Horticulturae

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Effects of Nitrogen Deficiency and Resupply on the Absorption of Mineral Nutrients by Tangor Cultivar ‘Shiranuhi’ (Citrus unshiu × C. sinensis) Grown in a Hydroponic System

Cited by 3 publications

References 21 publications

Citrus Tree Nutrient Deficiency Classification: A Comparative Study of ANN and SVM Using Colour-Texture Features in Leaf Images

Citrus Tree Nutrient Deficiency Classification: A Comparative Study of ANN and SVM Using Colour-Texture Features in Leaf Images

An Integrated Analysis of Metabolome, Transcriptome, and Physiology Revealed the Molecular and Physiological Response of Citrus sinensis Roots to Prolonged Nitrogen Deficiency

Integration of physiology, metabolome and transcriptome for understanding of the adaptive strategies to long-term nitrogen deficiency in Citrus sinensis leaves

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