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

نویسندگان

چکیده

Tea components (tea polyphenols, catechins, free amino acids, and caffeine) are the key factors affecting quality of green tea. This study aimed to relate biochemical substances in tea soil nutrient composition effectiveness fertilization. Seventy samples their corresponding plantation were randomly collected from Xinyang City, China. The caffeine examined, as well pH, nitrate (NO3--N), ammonium (NH4+-N), available phosphorus (AP), potassium (AK), organic matter (SOM). ordinary kriging was employed visualize spatial variation characteristic by ArcGIS. A quadratic regression model used analyze effects environment on results showed that pH area suitable for cultivating plants. relationship between polyphenols catechins presented U-shape curve, whereas NH4+-N inverted curve. Soil management measures could be implemented control improving quality. combination macro metrological with individual experimentation help detailed influence mechanisms environmental plant physiological processes.

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ژورنال

عنوان ژورنال: Agriculture

سال: 2021

ISSN: ['2077-0472']

DOI: https://doi.org/10.3390/agriculture11121225