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

Bo Wen, Ruiyang Li, Xue Zhao, Shuang Ren, Yali Chang, Kexin Zhang, Shan Wang, Guiyi Guo and Xujun Zhu
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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

Agriculture, 2021, vol. 11, issue 12, 1-12

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.

Keywords: soil pH; soil nutrients; main chemical components in tea; spatial variation characteristic; quadratic regression model (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
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