CN108960633A - Large leaf solar dried green tea weather method for evaluating quality, evaluation model and quality evaluation grade - Google Patents
Large leaf solar dried green tea weather method for evaluating quality, evaluation model and quality evaluation grade Download PDFInfo
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- 238000013441 quality evaluation Methods 0.000 title claims abstract description 14
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- 238000004519 manufacturing process Methods 0.000 description 2
- 150000008442 polyphenolic compounds Chemical class 0.000 description 2
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Abstract
The present invention relates to quality of agricultural product to measure field, especially large leaf sundrying tea gross tea weather method for evaluating quality.Disclose a kind of large leaf solar dried green tea weather method for evaluating quality, evaluation model and grade classification, it is determined that the climatic factor quantizating index for influencing and being formed tea leaf quality establishes large leaf solar dried green tea weather quality evaluation model and grade scale.By the relationship for analyzing large leaf solar dried green tea growth period weather conditions and quality, under the conditions of acquisition Different climate, the universality climatic evaluation indicator system and technical method for determining tea leaf quality, provide reference to objectively evaluate tealeaves weather quality, and provide foundation for the weather quality certification of tealeaves.
Description
Technical field
The present invention relates to quality of agricultural product to measure field, especially large leaf sundrying tea gross tea weather method for evaluating quality.
Background technique
Yunnan is the core cradle of world tea tree, the large leaf tea area as Pu'er tea raw material account for the 95% of the whole nation with
On.
The interior quality of Pu'er tea is the key that its commodity value, with continuous improvement of people's living standards and Pu'er tea
Health-care effect is gradually recognized by people, and the demand of high-quality Pu'er tea is also being stepped up.On the market, high-quality Pu'er tea is special
It is not that famous mountain ancient tree tea is constantly pursued, price hits new peak repeatly.
Big-leaf species in yunnan solar dried green tea is the raw material of Pu'er tea, and quality is directly related to Pu'er tea manufacturing enterprise
Benefit.Since tealeaves belongs to outdoor industry, natural cause is affected to its quality larger.In different zones, large leaf shines
Crude green tea can lead to the systematic divergence in quality because kind, the age of tree, weather, environment, soil and management level etc. are different.
But in the same area, close age different year local tea variety, the age of tree, environment, soil and management level are almost the same, and annual
The difference of tea growth phase weather conditions can all bring larger impact to its quality, therefore, in the widely different degree of tea leaf quality
It is decided by weather conditions.Since Pu'er tea has the characteristic of more Chen Yue perfume, interior quality is just continued in time, to tea
Leaf reserve value has an impact.
It there is no the standard in terms of large leaf tea weather quality evaluation both at home and abroad at present, it studied high-quality for stablizing
The Pu'er tea market price promotes the high quality and favourable price of Pu'er tea, and then preferably Developing Yunnan Plateau Characteristic agricultural is all very must
It wants.
Summary of the invention
Object of the present invention is to the relationships by analysis large leaf solar dried green tea growth period weather conditions and quality, obtain different
Under weather conditions, the universality climatic evaluation indicator system and technical method of tea leaf quality are determined, to objectively evaluate tealeaves weather
Quality provides reference, and provides foundation for the weather quality certification of tealeaves.
The invention discloses a kind of large leaf solar dried green tea weather method for evaluating quality, evaluation model and grade classifications, really
Determine influence and formed the climatic factor quantizating index of tea leaf quality, establishes large leaf solar dried green tea weather quality evaluation model
And grade scale.
The large leaf solar dried green tea weather quality grade evaluation method includes the following steps:
1) it determines evaluation region, compiles meteorological and phenological observation data in region.
2) meteorological measuring computation model parameter over the years is utilized.
3) Heat Index and humidity index are calculated using current year real-time weather observation data.
4) comprehensive weather qualitative index is calculated using comprehensive weather qualitative index evaluation model, and determines grade.
The climatic factor quantizating index of the influence and formation tea leaf quality includes Heat Index TI and humidity index RHI,
Wherein Heat Index TI includes 4 sub- indexs, and tea shoot sprouts the temperature on average actual measurement of day to harvesting day weather quality evaluation tea hill
It is worth lower limit temperature (DEG C) t of (DEG C) t, tea tree normal growthl, tea tree normal growth upper limit temperature (DEG C) th, tea tree normal growth
Optimum temperature (DEG C) t0With model parameter c；Humidity index RHI includes 2 sub- indexs, and tea shoot sprouts day to harvesting day tea place
Relative humidity measured value RH, tea tree the most suitable growth relative humidity lower limit value RH0, value 74% and model parameter d, with tealeaves
When the average relative humidity of many years and tealeaves humidity index grade matter are excellent (index takes 0.85) in the period from sprouting to picking,
Inversion Calculation obtains.
The evaluation model includes Heat Index model, humidity index model and comprehensive weather qualitative index model,
Wherein Heat Index model is
Model parameter c=(th-t0)×(t0-tl)
Humidity index model is
The comprehensive weather qualitative index model is
A=a × TI+b × RHI
The grade classification is five grades, it is characterised in that table specific as follows:
1 large leaf solar dried green tea weather quality grade of table
The present invention obtains Different climate condition by the relationship of analysis large leaf sundrying tea growth period weather conditions and quality
The lower universality climatic evaluation indicator system and technical method for determining tea leaf quality, provides reference to objectively evaluate tea leaf quality,
And foundation is provided for the weather quality certification of tealeaves.Its significance lies in that instructing large leaf solar dried green tea raw by weather quality evaluation
It produces, promotes the scientific of processing, sale and the storage of high-quality Pu'er tea.
Detailed description of the invention
Fig. 1 large leaf tea tree temperature suitability degree curve, t in figure: temperature；μ (t): Heat Index
Fig. 2 large leaf tea tree humidity suitability degree curve, rh in figure: relative air humidity；μ (rh): humidity index
Specific embodiment:
Embodiment 1, evaluation method
1, region and batch limit
Since each tea hill weather conditions in Pu'er tea area are different, quality discrepancy is larger, therefore this standard is to large leaf sundrying hair
The evaluation of tea weather quality is limited to same area；And different batches tea growth phase weather conditions are also different, weather quality is commented
Valence is just for same batch.The tealeaves weather quality of different zones batch should be evaluated respectively.
2, meteorological data collection
Large leaf tea is widely distributed in 700 meters to 2650 meters of height above sea level of region, and climate type multiplicity differs greatly, uses
National weather observation station data apart from each other cannot represent tea area climate condition, therefore this method is carried out in weather quality evaluation
The data used should derive from tea place weather station.
Embodiment 2, evaluation model
1, principle and method
(1) meteorological factor for influencing tea growth development is screened, finds out related best meteorological factor.
(2) according to agricultural weather Physiological Ecology principle, it can be deduced that meteorological factor and organism growth, yield and quality
The relation curve of formation, value [0,1], wherein 0 indicates to stop growing, yield cannot be formed；1 indicates organism yield, quality
Most preferably, and then the suitability degree curve of each meteorological factor is obtained.
(3) according to each meteorological factor suitability degree curve onset index model.
(4) exponential model of comprehensive each meteorological factor, assigns weight respectively, obtains comprehensive evaluation model.
(5) it tests to model result, obtains opinion rating.
2, data
The tea place Microclimate station weather observation data of 45 different zones and the tea tree phenology of parallel observation (analysis)
Data, physico-chemical analysis data.
3, factor screening
Temperature on average, accumulative precipitation are analyzed using correlation analysis method using the parallel observation data in 13 areas Ge Cha
The tealeaves such as the meteorological factors such as amount, relative humidity, sunshine and tea polyphenols, amino acid, caffeine and water extraction total amount mainly include
The phase relation of the relationship of object, the factor and the main content of tealeaves is shown in Table 2.
As shown in Table 2, tea shoot sprouts to temperature on average, average relative humidity and the main content phase of tealeaves during harvesting
Closing property has passed through statistical check, is to determine the most important meteorological factor of tealeaves content.Therefore selection tea tree tea shoot sprouts to harvesting
Evaluation index of the temperature on average, average relative humidity of period as tealeaves weather quality.
The relationship of 2 large leaf solar dried green tea of table main content and meteorological factor
| Accumulative precipitation | Sunshine time | Temperature on average | Relative humidity | |
| Tea polyphenols | -0.026 | -0.282 | -0.026 | -0.077 |
| Amino acid | 0.103 | 0.154 | 0.051 | -0.564** |
| Caffeine | -0.039 | -0.348 | -0.426* | -0.142 |
| Water extraction | -0.013 | 0.116 | 0.219 | 0.065 |
Note: for * when confidence level is 0.05, correlation is significant；For * when confidence level is 0.01, correlation is significant.
4, model and weather quality evaluation index
Tea tree, can be with normal growth usually between 10~35 DEG C；It is spring, overwintering when temperature goes back up to 7~10 DEG C or so
Tea shoot starts to sprout, between different bud type tea tree breeds, the origin temp sprouted slightly difference (Qian Shuyun, 1986).15
Within the scope of~25 DEG C grow rapidly, at 20~25 DEG C, young sprout growth it is most fast.When temperature is up to 30 DEG C or more, growth of tea plant speed
Significantly slow down, 35 DEG C or more high temperature, enzymatic reaction will be destroyed, young sprout growth will gradually stop.Tea tree autumn growth is usually dropped in temperature
It stops growing at 15 DEG C or so, is transferred to stand-down suspend mode.In And Development of Tea Shoot growth period, per day relative air humidity preferably exists
78%~80% or more, if relative humidity is lower than 60%, same period assimilation will be greater than by the substance that respiration consumes and generate
Substance, and tealeaves quality is thick and stiff.
According to the growth and development characteristic of large leaf tea tree, the meteorological number at 45 difference tea places Cha Qu Microclimate station is utilized
According to parallel observational data, carry out the growth and development of large leaf tea tree and temperature, relative humidity experimental study, determine large leaf solarization
Crude green tea Heat Index, humidity index model and comprehensive weather quality evaluation model.
(1) Heat Index model
The air temperature data of the tea place Microclimate station meteorological observation of 45 different zones such as the comprehensive analysis south hilllock Nuo Shan, great Du
And tea tree Phenological data, the physico-chemical analysis data of parallel observation determine large leaf tea growth of tea plant most using best expectation method
High, minimum and most suitable temperature threshold value (table 3).
3 large leaf tea growth of tea plant highest of table, minimum and most suitable temperature threshold value
| Project | Most suitable temperature | The highest temperature | The lowest temperature |
| Threshold value | 16.7 | 38.0 | 12.8 |
It is suitable for writing music according to highest, minimum and most suitable temperature threshold value and the plant growth temperature that Elevation is grown
Line establishes Heat Index model using temperature as the characterization factor of large leaf tea Heat Index:
In formula:
TI --- Heat Index；
T --- tea shoot sprouts day to the temperature on average measured value (DEG C) for harvesting day tea hill；
tl--- the lower limit temperature (DEG C) of tea tree normal growth；
th--- the upper limit temperature (DEG C) of tea tree normal growth；
t0--- the optimum temperature (DEG C) of tea tree normal growth.
C --- model parameter.
(2) humidity index model
The humidity data of the tea place Microclimate station meteorological observation of 45 different zones such as the comprehensive analysis south hilllock Nuo Shan, great Du
And tea tree Phenological data, the physico-chemical analysis data of parallel observation determine large leaf tea growth of tea plant most using best expectation method
The average air relative humidity lower limit of suitable average air relative humidity lower limit (74%), large leaf tea tea tree normal growth
(25%).
According to Elevation humidity suitability degree curve, is sprouted with large leaf tea from tea shoot and built to picking time relative humidity
Vertical humidity index model:
In formula:
RHI --- humidity index；
RH --- tea shoot sprouts day to the relative humidity measured value for harvesting day tea place；
RH0--- the relative humidity lower limit value of tea tree the most suitable growth, value 74%；
D --- model parameter.With tealeaves, the average relative humidity of many years and tealeaves humidity refer in the period from sprouting to picking
When number grade matter is excellent (index takes 0.85), Inversion Calculation is obtained.
(3) composite index
Using Principal Component Analysis, the weight of Heat Index, humidity index is determined, establish the comprehensive gas of large leaf solar dried green tea
Wait quality evaluation model and index of correlation.
A=a × TI+b × RHI
In formula:
A --- comprehensive weather qualitative index；
TI --- Heat Index；
RHI --- humidity index；
A, b --- weight coefficient
Heat Index weight coefficient: the tealeaves weight coefficient value 0.58 of harvesting in 2~April, the value of other periods harvesting
0.52。
Humidity index weight coefficient: the tealeaves weight coefficient value 0.42 of harvesting in 2~April, the value of other periods harvesting
0.48。
5, grade classification
Comprehensive weather quality evaluation grade drafts special 5 grades (being shown in Table 4) such as excellent, excellent, good, general, poor.
4 large leaf sundrying tea weather quality grade of table divides
| Grade | Evaluation number range |
| It is special excellent | A≥0.95 |
| It is excellent | 0.95 A >=0.85 > |
| It is good | 0.85 A >=0.75 > |
| Generally | 0.75 A >=0.65 > |
| Difference | A < 0.65 |
6, product test
According to the above method, to 3 tea hills in 2017, totally 16 batch large leafs shone for totally 3 batches, 3 tea places in 2016
Crude green tea sampling carries out weather quality evaluation, the results are shown in Table 5.
5 large leaf solar dried green tea weather attribute sampling evaluation result of table
Note: Tea Samples are encoded by " place of production number-batch number ".
Claims (4)
1. large leaf solar dried green tea weather quality grade evaluation method, it is characterised in that include the following steps:
1) it determines evaluation region, compiles meteorological and phenological observation data in region；
2) meteorological measuring computation model parameter over the years is utilized；
3) Heat Index and humidity index are calculated using current year real-time weather observation data；
4) Utilization assessment model calculates comprehensive weather qualitative index, and determines grade.
2. the climatic factor quantization for influencing in large leaf solar dried green tea weather quality grade evaluation method and forming tea leaf quality refers to
Mark includes Heat Index TI and humidity index RHI, it is characterised in that Heat Index TI includes 4 sub- indexs, and tea shoot sprouts day extremely
Harvest temperature on average measured value (DEG C) t in day tea hill, lower limit temperature (DEG C) t of tea tree normal growthl, tea tree normal growth it is upper
Limit temperature (DEG C) th, tea tree normal growth optimum temperature (DEG C) t0 and model parameter c；Humidity index RHI includes that 2 sons refer to
Mark, tea shoot sprout day to the relative humidity measured value RH in harvesting day tea place, the relative humidity lower limit value RH0 of tea tree the most suitable growth
(with tealeaves, the average relative humidity of many years and tealeaves humidity refer in the period from sprouting to picking by (value 74%) and model parameter d
When number grade matter is excellent (index takes 0.85), Inversion Calculation is obtained).
3. large leaf solar dried green tea weather quality grade evaluation model, it is characterised in that the evaluation model includes Heat Index mould
Type, humidity index model and comprehensive weather qualitative index model,
The Heat Index model is
Model parameter c=(th-t0)×(t0-tl)
The humidity index model is
The comprehensive weather qualitative index model is
A=a × TI+b × RHI
4. large leaf solar dried green tea weather quality evaluation grade, it is characterised in that be divided into five grades, table specific as follows:
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Cited By (3)
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| CN112070297A (en) * | 2020-09-04 | 2020-12-11 | 浙江省气候中心 | Weather index prediction method, device, equipment and storage medium for farming activities |
| CN113627709A (en) * | 2021-06-11 | 2021-11-09 | 中国热带农业科学院 | System and method for evaluating gorgeous quality based on infrared spectrum detection |
| CN114331109A (en) * | 2021-12-27 | 2022-04-12 | 云南省气候中心(云南省生态气象和卫星遥感中心) | Method for evaluating climate quality of coffee beans |
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| CN106296431A (en) * | 2016-08-16 | 2017-01-04 | 神农架林区气象服务中心 | Shennongjia green tea climatic ecology quality evaluation pattern |
| US20180096617A1 (en) * | 2016-09-30 | 2018-04-05 | Genesys Telecommunications Laboratories, Inc. | System and method for automatic quality evaluation of interactions |
| CN108182544A (en) * | 2018-01-24 | 2018-06-19 | 李超 | A kind of method for evaluation of quality of agricultural product |
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| CN106296431A (en) * | 2016-08-16 | 2017-01-04 | 神农架林区气象服务中心 | Shennongjia green tea climatic ecology quality evaluation pattern |
| US20180096617A1 (en) * | 2016-09-30 | 2018-04-05 | Genesys Telecommunications Laboratories, Inc. | System and method for automatic quality evaluation of interactions |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112070297A (en) * | 2020-09-04 | 2020-12-11 | 浙江省气候中心 | Weather index prediction method, device, equipment and storage medium for farming activities |
| CN113627709A (en) * | 2021-06-11 | 2021-11-09 | 中国热带农业科学院 | System and method for evaluating gorgeous quality based on infrared spectrum detection |
| CN114331109A (en) * | 2021-12-27 | 2022-04-12 | 云南省气候中心(云南省生态气象和卫星遥感中心) | Method for evaluating climate quality of coffee beans |
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Application publication date: 20181207 |