QX/T 411-2017 in English
VALIDAssessment of tea climate quality
- Issued on:2017-12-29
- Implemented on:2018-05-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$127.00
Introduction
Analysis of the core content of the standard
This standard innovatively establishes a quantitative evaluation system based on the meteorological conditions 15 days before harvest. Through the three core indicators of average temperature, relative humidity and sunshine hours, combined with the phenol-ammonia ratio (rRPA), objective grading of tea quality is achieved.
Technical details of the evaluation model
| Meteorological elements | Optimal interval | Weight coefficient | Biochemical impact |
|---|---|---|---|
| Average temperature | 12-18℃ | 0.6 | Influence on enzyme activity and secondary metabolism |
| Relative humidity | ≥80% | 0.2 | Regulate leaf water balance |
| Sunshine hours | 3-6 hours | 0.2 | Regulate photosynthetic product accumulation |
Empirical analysis of grade classification
Take superior grade tea as an example: when Itcq≥2.5, the corresponding phenol-ammonia ratio is <2.5, which is highly consistent with the spring climate conditions in the core production area of Longjing tea (Hangzhou, Zhejiang) - the average temperature in late March is 15.2℃, the humidity is 82%, and the sunshine is 4.5 hours. The measured phenol-ammonia ratio is 2.3.
Implementation and Application Suggestions
- Optimization of Harvest Timing: It is recommended to harvest after meteorological indicators have reached the optimal range for three consecutive days.
- Regional Adaptation: High-altitude production areas should pay special attention to the deduction of temperatures <10°C.
- Disaster Prevention: Frost occurring 15 days before harvest will directly result in Itcq=0.
Background of Standard Evolution
Based on a follow-up study of 286 tea garden samples conducted by the Zhejiang Provincial Climate Center from 2014 to 2015, it was found that the influence of meteorological factors on tea quality follows the pattern of temperature (60%) > humidity (20%) ≈ sunshine (20%). This finding directly led to the establishment of this standard evaluation model.

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