Research Progress and Prospect of Intelligent Tea Garden Technology Application

The development and application of internet plus modern tea industry technology is more and more extensive.As an important part of the development process of tea industry,intelligent tea garden plays an important role in the development of the whole industry.At present,intelligent tea garden technology is widely used in many fields such as intelligent monitoring,water and fertilizer integration,green prevention and control,quality and safety traceability.In this paper,the application of intelligent tea garden technology in tea gardens was reviewed.On this basis,the development trend of new information technology and tea industry was prospected,in order to provide some reference and thinking for the innovative research of new technology in tea garden in the future.

Hazard Assessment on Heavy Metal Pollution in Surface Soil from Tea Gardens of Wuzhishan

[Objective] The aim of this study is to investigate hazard assessment on heavy metal pollution in surface soil from tea gardens of Wuzhishan. [Method] The average content and accumulation status of heavy metals including Cr,Ni,Cu,Zn,As,Cd and Pb in surface soil from tea gardens of Wuzhishan was collected. Taking the highest global background value of heavy metals in sediments before modern industrialization and the first-class natural background value of Soil Environment Quality Standard in China as the reference value respectively,the accumulation or ecological hazard coefficient and the ecological hazard index of heavy metals in surface soil from tea gardens of Wuzhishan were assessed by potential ecological risk index. [Result] The pollution level with two kinds of background values as the reference value was similar,while Cd and Pb were main heavy metals which had potential impact on ecological environmental in surface soil from tea gardens of Wuzhishan. [Conclusion] The potential risk level of heavy metals in surface soil from tea gardens of Wuzhishan belongs to the slight-medium pollution level,and the heavy metal with potential risk is mainly Cd.

Effects of Continuous Irrigation of Biogas Slurry on Forms and Biological Availability of Pb in Soil of a Tea Garden

Through indoor culture experiments, the effects of continuous irrigation of biogas slurry on the forms and biological availability of Pb in soil of a tea garden were studied. The results show that continuous irrigation of biogas slurry could change the forms of Pb in the soil, and exchangeable Pb, Pb bonded to iron and manganese oxides, and Pb bonded to carbonates transformed to Pb bonded to or- ganic matter and residual Pb in the soil. Among various forms of Pb in the soil, the content of residual Pb was the highest in the soil irrigated with biogas slurry contin- uously in various treatments, accounting for 54.56%, 60.00% and 60.70% in the treatments T1, T2 and T3 respectively. Compared with the CK, the application of bio- gas slurry could decrease the biological activity and biological availability of Pb in the soil obviously, and the reduction of the biological activity was 21.26%-22.83%. In a word, the application of biogas slurry in soil of the tea garden could inhibit the biological activity and biological availability of Pb.

Distribution of Aluminum and Fluoride in Tea Plant and Soil of Tea Garden in Central and Southwest China

The distribution of Al and F contents and the relationship between Al and F in tea plants and soils of 12 tea gardens in Central and Southwest China were investigated from October 31 to November 14, 2006. The results show that there were differences in pH, CEC, the contents of organic matter （OM）, Al and F in the different soils of the tea gardens. The Al content ranged from 1196 to 7976mg/kg for old leaf, 370 to 2681mg/kg for young leaf and 285 to 525mg/kg for stem, whereas the content of F ranged from 221 to 1504mg/kg for old leaf, 49 to 602mg/kg for young leaf and 13.5 to 77.5mg/kg for stem. The concentrations of labile Al varied obviously in the different soils, but the distribution law of labile Al content for the same garden was Alexchangeable≈AlFe.Mn oxide〉Alorganic〉mlwater.soluble. The contents of different labile F fractions varied slightly in the different soils and the different soil layers, though the exchangeable F content was lowest among the labile F in the soils. The concentrations of Al and F in tea plants increased with increasing amount of water-soluble Al or F, especially the amount of water-soluble fractions in the soil layer of 0-20cm. The correlation between Al content and F content in the tea leaf was more significant than that in the tea stem. Furthermore, the correlation between Al content and F content in whole tea plant was strongly significant （r=0.8763, p〈0.01, n=36）. There were evident tendency that Al concentration increased with the increase of F concentration in different soil layers. The correlation of water-soluble Al with water-soluble F in all soils was also strongly significant （r=0.7029, p〈0.01, n=34）. The results may provide a proof that Al and F are jointly taken up by tea plants to some extent in natural tea gardens.

Bioavailability of heavy metals in soil of the Tieguanyin tea garden, southeastern China

The bioavailability of 22 heavy metals was investigated at 19 sampling sites in Tieguanyin tea garden in Anxi County,Fujian Province,southeastern China.Heavy metal concentrations were determined by inductively coupled plasma-mass spectrometry(ICP-MS)and evaluated by geo-accumulation index(I_(geo)).Dilute nitric acid extraction was used to evaluate biological activity.Cu,Pb,and Cd were highly bioavailable and most easily absorbed by tea trees.Heavy metal bioavailability in the surface soil was as the ratio of the effective state to the total amount.Cd had the highest I_(geo)values,and the respective samples and sites were classified as moderately/strongly contaminated.Cd element is considered the main factor of heavy metal pollution in the tea garden in Anxi.The other heavy metals studied were present in lower concentrations;thus,the samples were classified as uncontaminated or slightly contaminated.

Comprehensive Management Measures for Chicken Rearing in Tea Gardens in Karst Region

In karst region,industrial development is closely related to rocky desertification control. Using abundant natural resources in karst areas to develop chicken rearing in tea gardens can not only make full use of natural resources and alleviate the contradiction between development and governance in rocky desertification areas but also produce good quality chicken. In this paper,the comprehensive management measures related to chicken farming in tea gardens in karst region were elaborated,in order to provided certain guiding significance for practical production.

Survey on Fertility of Tea Garden Soil in Meizhou Region

Survey on fertility of tea garden soil in Meizhou region indicates that tea garden soil has strong acidity; organic matter content remains at medium level; there is a severe lack of available content of nitrogen(N),phosphorus(P) and potassium(K); available calcium(Ca) and magnesium(Mg) content is also insufficient; available sulfur(S) is abundant. In the management of tea cultivation,it is recommended to supplement organic fertilizer,balance the application of NPK fertilizer,and adequately alleviate shortage of Ca and Mg element,to guarantee high and stable yield of tea.

Species Investigation and Population Dynamic of Spiders in Tea Gardens in Northern Guangxi

A systematic investigation on spiders in a tea garden of Guilin Institute of Tea Sciences was conducted. The results showed that totally 687 specimens were collected, belonging to 34 species, 27genera, 14 families, 2 suborders, and a new record species Trochosa suiningensis in Guangxi was found. Spider is a ma- jor developing natural enemy group of insect pests in tea garden, with features of wide distribution, large quantity, long duration, strong predatory and stress resist- ance, which has strong predation on adults and nymphs of Empoasca vitis and young larvae of Ectropis oblique. The population of spiders in tea garden significantly increases after middle June, and reaches the peak in July and August every year.

Effects of Different Farming Methods and Their Effects on Soil Physicochemical Properties of Guilin Maojian Tea Gardens

In order to further optimize the cultivation and agronomic technology of Guilin Maojian tea gardens, the effects, efficiencies and costs of different farming methods and their effects on the physiochemical properties of tea garden soil were studied through the modification of the test sites with the non-farming land as the control. The results showed that human farming, mini-tiller farming and crawler tractor farming could improve the physical and chemical properties of soil. After farming, the soil had good water retention but low moisture content compared to the control group, while the soil bulk density and hardness value were significantly lower than those of the control, and the porosity of soil was significantly higher than that of contrast. With the passage of time, soil bulk density and hardness value gradually increased after farming, while the porosity of soil decreased gradually. There were great differences in the effects, efficiencies and costs of different farming methods. Crawler tractor had the best and most stable farming effect, and the operation efficiency was 10 times that of human farming while the cost was only 0.39 times of human farming. Therefore, it was feasible to adopt mini-tiller or crawler tractor to carry out mechanical farming of Guilin Maojian tea garden, which provided theoretical references for the soil property improvement using mechanical farming and was favorable for promoting the popularization of farming machines and the acceleration of mechanization of tea gardens. But for tea plantations that are intended to be mechanized, apart from the mechanical and technical personnel to be configured in place, the site conditions, planting modes and mechanical way reservation of tea garden should be planned accordingly. It is recommended to select flat or gentle slope for reclamation, and preference is given to non-sexual tea tree varieties with big line spacing over 180 cm long. Moreover, the main road construction should be more than 3.0 m, and trunk road 2.0 m or above. And isolation ditch and drain should be set between the tea garden and the surrounding mountain forests and farmland.

施用不同调理剂对酸化茶园土壤化学性质及茶叶品质的影响

针对茶园土壤酸化问题,利用不同配方调理剂对其进行土壤改良。采用田间微区试验的方法,以种植英红九号年限分别为2年(幼龄)和8年(成龄)茶园为研究对象,设置4个不同处理:不施调理剂(CK)、调理剂Ⅰ(生物炭,T1)、调理剂Ⅱ(生物炭+石灰,T2)及调理剂Ⅲ(生物炭+碱渣钙镁肥,T3),施用量为20 t·hm^(-2)。通过2年定位试验,研究3种调理剂对茶园土壤的主要化学性质及茶叶品质的影响。土壤分析表明,与对照组相比,2年的试验周期中,2种茶园的土壤pH均呈现先升后降的趋势,试验4个月后施用调理剂Ⅰ、Ⅱ、Ⅲ的幼龄茶园土壤pH值分别升高了0.11、0.20和0.22个单位,成龄茶园pH值分别升高了0.15、0.16和0.38个单位,但经过16个月后pH值又会逐渐下降。幼龄茶园土壤有效磷和速效钾含量均有显著升高,而成龄茶园只有速效钾含量显著升高。茶叶品质分析表明,与CK相比,试验4个月后幼龄茶园调理剂处理组茶叶的水浸出物含量分别显著增加6.66%、6.30%和6.80%。施用调理剂可以改善茶园酸性土壤,增加土壤肥力和茶叶内含物质含量。

茶园仿生往复式开沟松土机设计与试验

丘陵山区茶园土壤板结、石砾较多,使用传统旋转或移动式开沟机会出现打石跳刀、刀具无法入土、开沟不深、作业阻力大的问题。为此,依据人工铲土具有自发性以最低功耗完成最优作业路径的特点,设计仿人工铲土动作的曲柄摇杆式开沟装置,并研制小型茶园往复式开沟松土机。通过分析人工使用铁锹铲土的动作,建立入土、切土、抛土的运动模型,基于Matlab软件分析得到人工铲土时铁锹锹尖运动轨迹的拟合方程,以此方程为基准,建立曲柄连杆机构的目标函数,结合约束条件解出曲柄摇杆机构结构参数,同时对开沟铲进行开沟阻力分析,确定开沟铲的结构参数。建立Recurdyn和EDEM耦合的开沟铲-土壤互作仿真模型,并进行三因素三水平正交试验,对作业和结构参数进行优化,得到最优参数组合:机器前进速度v为0.06 m/s、曲柄转速n为42 r/min、入土倾角φ为80°。田间试验结果表明,茶园往复式开沟松土机作业平均开沟深度为211.5 mm,开沟功率为0.119 kW,沟深稳定性系数为90.9%,相较于传统旋转式开沟机,开沟功率降低6.3%,沟深稳定性系数提高3.1个百分点,整机作业质量满足茶园农艺要求。

四川茶区幼龄茶园高效管理技术

幼龄茶园管护存在的前期投入较大、投产周期较长、技术要求较高等突出问题,是制约茶农收入和良种更换积极性的关键所在。文章总结了四川茶区幼龄茶园高效栽培管理的新技术和新模式,以推动幼龄茶园优质、降本、高效栽培管理,为促进茶园优良茶树新品种更新换代及茶产业的高质量发展提供技术支撑。

科技创新推动茶叶质量安全全程管控能力提升

现阶段我国茶叶质量安全水平高,饮茶安全有保障。茶叶饮用安全得益于茶叶科技创新日益发展,茶园绿色防控技术、清洁化茶叶加工技术、茶叶质量安全精准检测技术与风险评估理论创新,将茶叶质量安全从末端监管调整到从茶园到茶杯的全过程,为茶叶质量安全风险监测、风险控制与风险管理提供强有力的科学支撑。性诱剂化学生态防控技术、杀虫灯与诱虫色板物理诱杀技术、茶尺蠖与茶毛虫病毒生物防治技术、以草抑草绿色除草技术等茶园绿色防控技术从源头提升了茶叶农药残留控制水平;清洁化能源加热替代传统的燃煤燃材加热方式,显著降低了茶叶加工中环境污染物和重金属等有害物质的污染;质谱创新技术将茶叶质量安全检测提升到高通量精准检测与非靶向筛查水平,速测创新技术前移了茶叶农药残留的监测环节。文章介绍了近年来我国茶叶质量安全水平,分析了科技创新对茶叶质量安全全程管控能力提升的推动作用。

有机种植方式对茶园土壤酸碱度的影响

土壤过度酸化是影响茶产业持续健康发展的主要因素之一,为了解有机管理方式对茶园土壤酸碱度的长期影响,以常规茶园为对照,研究了我国18个省份84个产茶县有机管理1~21 a对茶园土壤pH的影响。结果表明,有机茶园比常规茶园土壤pH平均高0.36,达极显著水平;随着有机管理年份的增加,茶园土壤pH总体为先显著上升、后显著下降并维持相对平稳,有机管理1~5、6~10、11~15、16~21 a的pH比常规茶园分别高0.48、0.23、0.28和0.30,均达显著或极显著水平;有机管理方式还有利于土壤pH向最适合茶树生长发育的方向发展,pH 4.5~5.5的茶园占比,常规茶园为41.9%,有机管理1~5、6~10、11~15、16~21 a的茶园分别为53.1%、48.9%、58.7%和66.7%,总体随有机管理年限的增加而增加。可见,有机管理方式能防止茶园土壤严重酸化,使土壤pH向着最适合茶树生长发育的方向发展。

接种蚯蚓对有机茶园土壤结构及有机碳库的影响

为探讨接种蚯蚓对有机茶园土壤团聚体、孔隙分布及有机碳库的影响,设置375条/m^(2),250条/m^(2),125条/m^(2)三种蚯蚓投放密度,将威廉腔环蚓接种于信阳有机茶园土壤中。结果表明:接种蚯蚓能显著提升>2mm大团聚体的比例而降低<0.25mm粒径的微团聚体的比例;提高水稳性小团聚体(0.25mm≤d≤2mm)比例,但对水稳性大团聚体d>2mm的影响不显著;高密度蚯蚓处理平均重量直径(MWD),平均几何直径(NWD)以及分型维数(D),团聚体破坏率(PAD)显著高于其他密度处理及对照(CK)。接种蚯蚓使得结构性孔隙(土壤颗粒间和团聚体间孔隙)所占比重增加,其中以团聚体间孔隙增加最为显著,其次为颗粒间孔隙,对由粘粒及矿物层间形成的毛管孔隙分布无显著影响;随着接种密度的增加,颗粒间孔隙度变化不显著而团聚体间孔隙度的相对值和绝对值均显著增加。添加蚯蚓能显著增加土壤活性有机库总量。接种密度的增加对活性有机碳库总量影响不大,但对土壤呼吸速率提升较多,故从温室气体排放角度考虑低接种密度更合适。可见,有机茶园中少量接种蚯蚓即能达到改良土壤结构的效果,并能缓解由于采茶造成的土壤压实问题。

微生物肥对茶园昆虫和蜘蛛群落的影响

为了评估微生物肥对茶园昆虫和蜘蛛群落的影响,以单施化肥为对照,比较了单施微生物肥、单施复混肥(有机肥与化肥混合)的茶园昆虫和蜘蛛群落的发生数量,统计各处理间的群落优势类群,分析主要害虫小贯松村叶蝉(Matsumurasca onukii)种群数量消长动态。结果表明,微生物肥处理的茶园昆虫和蜘蛛群落多样性指数和均匀度指数分别为2.07和0.45,均显著高于复混肥和化肥处理组的,说明微生物肥处理的茶园昆虫群落结构更复杂,生态系统物种丰富,稳定性更好;微生物处理组的茶园昆虫群落优势集中性指数和优势度指数最小,分别为0.31和0.55,也说明其物种最丰富,群落处于稳定状态;单施微生物肥对茶园小贯松村叶蝉种群数量控制效果显著。施用微生物肥能显著影响茶园昆虫和蜘蛛群落结构,降低害虫小贯松村叶蝉的种群数量,处理后的茶园昆虫和蜘蛛群落结构更加复杂,生态系统物种丰富,群落处于稳定状态。

基于宏基因组测序揭示不同施肥方式对茶园土壤微生物群落的季节性影响

为揭示不同施肥方式对茶园土壤微生物群落的季节性影响,采用宏基因组测序,比较分析了同一茶园习惯施肥(CF)、微生物有机肥配施控释复合肥(MC),在冬季至夏季3个时间点[11月14日(CF1、MC1)、3月1日(CF2、MC2)、5月15日(CF3、MC3)]的土壤微生物群落组成和结构。结果表明,共获得311211956条高质量测序数据和1763759个Unigenes。主成分和相关性分析表明,MC1和CF1的土壤微生物基因丰度聚为一类,其他独聚一类。不同季节,CF和MC的细菌、古菌、真菌分别占微生物总数的88%~89%、0.8%~2.0%、0.02%~0.10%;古菌数量逐渐增加,真菌数量先增加后降低。CF2、CF3的古菌数量分别高于MC2、MC3,而真菌数量相反;CF2、CF3的细菌、真菌丰度分别显著低于MC2、MC3,古菌丰度相反。MC1、MC2、MC3之间的细菌、古菌、真菌丰度存在显著差异,而CF1与CF3的真菌丰度接近。相较于CF,MC提高了土壤细菌中的变形菌门、放线菌门、芽单胞菌门、绿弯菌门、拟杆菌门、硝化螺旋菌门、装甲菌门相对丰度,降低了酸杆菌门、疣微菌门、浮霉菌门相对丰度;提高了古菌中的奇古菌门相对丰度,降低了广古菌门、泉古菌门、深古菌门相对丰度;提高了真菌中的毛霉门、捕虫霉门、隐真菌门相对丰度,降低了担子菌门相对丰度。总体上,CF和MC优势细菌门、优势古菌门、优势真菌门相对丰度的季节性变化趋势存在一定差异。茶园土壤微生物群落组成和结构呈现一定的季节性、施肥方式性变化规律;微生物有机肥配施控释复合肥可以提高土壤细菌丰度、真菌数量和丰度,降低古菌数量和丰度,改变土壤优势菌群的组成,为充分利用微生物资源、提高茶树养分利用率等提供了理论依据。

基于时域卷积网络与Transformer的茶园蒸散量预测模型

在茶园水资源管理中,蒸散量(Evapotranspiration,ET)是评估作物水分需求的关键指标,由于茶园蒸散量预测具有时序性、不稳定性以及非线性耦合等特点,目前的茶园蒸散量预测模型存在预测精度较低的问题,针对此问题本文提出了一种新型的茶园蒸散量预测模型。首先使用互信息算法(Mutual information,MI)与主成分分析算法(Principal component analysis,PCA)相融合的数据处理算法(MIPCA),筛选强相关的特征并提取主成分;其次将时域卷积网络(Temporal convolutional network,TCN)与Transformer融合,利用灰狼算法(Grey wolf optimization,GWO)优化超参数,捕捉茶园数据的全局依赖关系;最后整合2个网络构建了MIPCA-TCN-GWO-Transformer模型,通过消融试验和对比试验验证了模型性能,并对模型在不同时间步长下的性能进行测试。结果表明,该模型平均绝对百分比误差(Mean absolute percentage error,MAPE)、均方根误差(Root mean square error,RMSE)和决定系数(Coefficient of determination,R^(2))3个评价指标分别为0.015 mm/d、0.312 mm/d和0.962,优于长短期记忆模型(Long short term memory,LSTM)等传统预测模型。在小时尺度、日尺度和月尺度下的R^(2)分别为0.986、0.978和0.946,在不同时间步长下展现了良好的适应性和准确性。本文构建的MIPCA-TCN-GWO-Transformer模型具有较高的预测精度和稳定性,可为茶园水资源优化管理和灌溉制度制定提供科学参考。

天然林改造为单一茶园前后不同生境土壤丛枝菌根真菌物种多样性的差异

在贵州省遵义市正安县和湄潭县,选择地理位置相邻的3种生境类型样地——天然林、由天然林改造而来的人工林、不同种植年限茶园(茶园依据种植年限(t)不同划分为5组:t<10 a、10 a≤t<20 a、20 a≤t<30 a、30 a≤t<40 a、t≥40 a);采用分层随机抽样法设计3种生境的土壤样品采集,共选取37个采样点(茶园17个、天然林10个、人工林10个),统一采集深为5~40 cm的根际土壤,每个样点采集3~5份混合土壤作为重复,共采集128份土壤样品;参照相关标准和规范测定土壤理化性质(pH、有机质质量分数、全氮质量分数、全磷质量分数、全钾质量分数、解氮质量分数、有效磷质量分数、速效钾质量分数、土壤粒径、质地类型),采用湿筛倾注-蔗糖离心法进行土壤丛枝菌根(AM)真菌孢子分离和形态鉴定,采用孢子密度、物种丰富度、分离频度、相对多度、重要值、香农-威纳多样性指数(Shannon-Wiener Index)、辛普森多样性指数(Simpson Index)、皮卢均匀度指数(Pielou’s Evenness Index)评估丛枝菌根真菌群落结构;采用聚类分析法、冗余分析(RDA)法、方差分析法,分析3种生境土壤丛枝菌根真菌物种多样性的差异。结果表明:3种生境中共检出7科11属48种丛枝菌根真菌。孢子密度、物种丰富度、香农-威纳多样性指数、辛普森多样性指数,在天然林土壤中最高、茶园土壤中次之、人工林土壤中最低。种植年限小于20 a的茶园土壤中丛枝菌根真菌物种组成与人工林相似,主要受土壤因子的影响;而种植年限大于20 a的茶园土壤中丛枝菌根真菌物种组成丰富,接近天然林,受土壤因子和宿主植物的双重影响。说明人为因素引起的生境变化会影响丛枝菌根真菌物种组成,扰动后的丛枝菌根真菌生态平衡重建需要一定年限。

生态茶园套种灵芝栽培技术

生态茶园套种灵芝是一种低碳循环的农业模式,不仅能够增加茶园经济效益,而且有利于提升茶园的建设与管理水平,具有良好的生态和经济双重效益。文章分析了生态茶园套种灵芝模式的优点,并根据生产中的实践经验,总结了生态茶园套种灵芝的栽培技术要点。