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A Quadratic Regression Model to Quantify Plantation Soil Factors That Affect Tea Quality

Author

Listed:
  • Bo Wen

    (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China)

  • Ruiyang Li

    (College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China)

  • Xue Zhao

    (College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China)

  • Shuang Ren

    (College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China)

  • Yali Chang

    (Henan Key Laboratory of Tea Plant Comprehensive Utilization in South Henan, Xinyang Agriculture and Forestry University, Xinyang 464000, China)

  • Kexin Zhang

    (College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China)

  • Shan Wang

    (College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China)

  • Guiyi Guo

    (Henan Key Laboratory of Tea Plant Comprehensive Utilization in South Henan, Xinyang Agriculture and Forestry University, Xinyang 464000, China)

  • Xujun Zhu

    (College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China)

Abstract

Tea components (tea polyphenols, catechins, free amino acids, and caffeine) are the key factors affecting the quality of green tea. This study aimed to relate key biochemical substances in tea to soil nutrient composition and the effectiveness of fertilization. Seventy tea samples and their corresponding plantation soil were randomly collected from Xinyang City, China. The catechins, free amino acids, and caffeine in tea were examined, as well as the soil pH, nitrate ( N O 3 - -N), ammonium ( N H 4 + -N), available phosphorus (AP), available potassium (AK), and soil organic matter (SOM). The ordinary kriging was employed to visualize the spatial variation characteristic by ArcGIS. A quadratic regression model was used to analyze the effects of the soil environment on the tea. The results showed that the soil pH of the study area was suitable for cultivating tea plants. The relationship between soil pH and tea polyphenols and catechins presented the U-shape curve, whereas the soil pH and N H 4 + -N and the free amino acids, the soil pH, and caffeine presented the inverted U-shape curve. Soil management measures could be implemented to control the soil environment for improving the tea quality. The combination of the macro metrological model with individual experimentation could help to analyze the detailed influence mechanisms of environmental factors on plant physiological processes.

Suggested Citation

  • Bo Wen & Ruiyang Li & Xue Zhao & Shuang Ren & Yali Chang & Kexin Zhang & Shan Wang & Guiyi Guo & Xujun Zhu, 2021. "A Quadratic Regression Model to Quantify Plantation Soil Factors That Affect Tea Quality," Agriculture, MDPI, vol. 11(12), pages 1-12, December.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:12:p:1225-:d:695389
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    References listed on IDEAS

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    1. Likens, Aaron D. & Amazeen, Polemnia G. & West, Stephen G. & Gibbons, Cameron T., 2019. "Statistical properties of Multiscale Regression Analysis: Simulation and application to human postural control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
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