Statistical modeling for estimating glucosinolate content in Chinese cabbage by growth conditions

Kim, Do-Gyun; Shim, Joon-Yong; Ko, Myung-Jun; Chung, Sun–Ok; Chowdhury, M. A. H.; Lee, Wang‐Hee

doi:10.1002/jsfa.8874

Cited by 7 publications

(3 citation statements)

References 45 publications

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“…Cabbage is widely planted in China, especially in Southern China, which has approximately half of the total cabbage-growing area. Cabbage is an important cash crop, the consumption of which also ranks fi rst among all vegetables in China (Kim et al, 2018;Xiang et al, 2018). Cabbage has a large demand for water and fertilizer; the fertilizer use in China's cabbage production is about 454.63 kg/ha, and in cabbage production, the fertilizer is easy to lose, so the partial and excessive fertilization phenomenon is serious (McKeown et al, 2010).…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

Elasticity of Substitution, Price Effect and Sustainable Fertilizer Use: A Translog and SUR Analysis in China

Pang¹,

Dang²,

Xu³

2021

Prague Economic Papers

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Section: Data and Descriptive Statisticsmentioning

confidence: 99%

Elasticity of Substitution, Price Effect and Sustainable Fertilizer Use: A Translog and SUR Analysis in China

Pang¹,

Dang²,

Xu³

2021

Prague Economic Papers

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“…Statistical modeling is an effective tool for quantifying the relationship between dependent and independent variables by the statistical significance of their correlations (Kim et al, 2016). Kim et al (2018) developed a statistical model for glucosinolate content in Chinese cabbage using a secondorder multi-polynomial equation with growth duration and temperature as independent variables. In this study, the model structure was determined according to the linear pattern of phenolic accumulation with UV-B dose as shown in the results from previous studies (Dou et al, 2019;Yoon et al, 2021a) or quadratic pattern with leaf group as shown in Figure 6 and the results from a previous study (Yoon et al, 2021b).…”

Section: Predicting Models Of Phenolic Content In Three-dimensional P...mentioning

confidence: 99%

Prediction of Phenolic Contents Based on Ultraviolet-B Radiation in Three-Dimensional Structure of Kale Leaves

Yoon¹,

Kim²,

Oh³

et al. 2022

Front. Plant Sci.

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Ultraviolet-B (UV-B, 280–315 nm) radiation has been known as an elicitor to enhance bioactive compound contents in plants. However, unpredictable yield is an obstacle to the application of UV-B radiation to controlled environments such as plant factories. A typical three-dimensional (3D) plant structure causes uneven UV-B exposure with leaf position and age-dependent sensitivity to UV-B radiation. The purpose of this study was to develop a model for predicting phenolic accumulation in kale (Brassica oleracea L. var. acephala) according to UV-B radiation interception and growth stage. The plants grown under a plant factory module were exposed to UV-B radiation from UV-B light-emitting diodes with a peak at 310 nm for 6 or 12 h at 23, 30, and 38 days after transplanting. The spatial distribution of UV-B radiation interception in the plants was quantified using ray-tracing simulation with a 3D-scanned plant model. Total phenolic content (TPC), total flavonoid content (TFC), total anthocyanin content (TAC), UV-B absorbing pigment content (UAPC), and the antioxidant capacity were significantly higher in UV-B-exposed leaves. Daily UV-B energy absorbed by leaves and developmental age was used to develop stepwise multiple linear regression models for the TPC, TFC, TAC, and UAPC at each growth stage. The newly developed models accurately predicted the TPC, TFC, TAC, and UAPC in individual leaves with R2 > 0.78 and normalized root mean squared errors of approximately 30% in test data, across the three growth stages. The UV-B energy yields for TPC, TFC, and TAC were the highest in the intermediate leaves, while those for UAPC were the highest in young leaves at the last stage. To the best of our knowledge, this study proposed the first statistical models for estimating UV-B-induced phenolic contents in plant structure. These results provided the fundamental data and models required for the optimization process. This approach can save the experimental time and cost required to optimize the control of UV-B radiation.

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“…Studies have shown that the main factor affecting the content and composition of GSL is genotype, and the content and composition of GSL were different among different species and varieties ( SzydłOwska-Czerniak et al, 2011 ; Wiesner et al, 2013b ; Rhee et al, 2020 ; Jeon et al, 2022 ). Temperature, light quality, mechanical injury, and insect feeding can affect GSL biosynthesis and component content ( Pedreno et al, 2017 ; Kim D. et al, 2018 ; Lin et al, 2022 ). Moreover, biosynthesis of GSL is also influenced by plant hormones, plant growth regulators, chemical fertilizers, pesticides, metal ions, gas, etc.…”

Section: Introductionmentioning

confidence: 99%

Effects of Plant Hormones, Metal Ions, Salinity, Sugar, and Chemicals Pollution on Glucosinolate Biosynthesis in Cruciferous Plant

Liu

Wang

et al. 2022

Front. Plant Sci.

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Cruciferous vegetable crops are grown widely around the world, which supply a multitude of health-related micronutrients, phytochemicals, and antioxidant compounds. Glucosinolates (GSLs) are specialized metabolites found widely in cruciferous vegetables, which are not only related to flavor formation but also have anti-cancer, disease-resistance, and insect-resistance properties. The content and components of GSLs in the Cruciferae are not only related to genotypes and environmental factors but also are influenced by hormones, plant growth regulators, and mineral elements. This review discusses the effects of different exogenous substances on the GSL content and composition, and analyzes the molecular mechanism by which these substances regulate the biosynthesis of GSLs. Based on the current research status, future research directions are also proposed.

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Statistical modeling for estimating glucosinolate content in Chinese cabbage by growth conditions

Cited by 7 publications

References 45 publications

Elasticity of Substitution, Price Effect and Sustainable Fertilizer Use: A Translog and SUR Analysis in China

Elasticity of Substitution, Price Effect and Sustainable Fertilizer Use: A Translog and SUR Analysis in China

Prediction of Phenolic Contents Based on Ultraviolet-B Radiation in Three-Dimensional Structure of Kale Leaves

Effects of Plant Hormones, Metal Ions, Salinity, Sugar, and Chemicals Pollution on Glucosinolate Biosynthesis in Cruciferous Plant

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