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Background: The tea plant Camellia sinensis (L.) O. Kuntze is a perennial crop, invaded by diversity of insect pest species, and pink tea mite is one of the most devastating pests for sustainable tea production. However, molecular mechanism of defense responses against pink tea mites in tea is still unknown. In this study, metabolomics and transcriptome profiles of susceptible and resistant tea varieties were compared before and after pink tea mite infestation. Results: Metabolomics analysis revealed that abundance levels of polyphenol-related compounds changed significantly before and after infestation. At the transcript level, nearly 8 GB of clean reads were obtained from each sequenced library, and a comparison of infested plants of resistant and susceptible tea varieties revealed 9402 genes with significant differential expression. An array of genes enriched in plant pathogen interaction and biosynthetic pathways of phenylpropanoids showed significant differential regulation in response to pink tea mite invasion. In particular, the functional network linkage of disease resistant proteins, phenylalanine ammonia lyase, flavanone -3-hydroxylase, hydroxycinnamoyl-CoA shikimate transferase, brassinosteroid-6-oxidase 1, and gibberellin 2 beta-dioxygenase induced dynamic defense signals to suppress prolonged pink tea mite attacks. Further integrated analyses identified a complex network of transcripts and metabolites interlinked with precursors of various flavonoids that are likely modulate resistance against to pink tea mite. Conclusions: Our results characterized the profiles of insect induced metabolic and transcript reprogramming and identified a defense regulatory network that can potentially be used to fend off pink tea mites damage. [ABSTRACT FROM AUTHOR]

Abstract Background The tea plant Camellia sinensis (L.) O. Kuntze is a perennial crop, invaded by diversity of insect pest species, and pink tea mite is one of the most devastating pests for sustainable tea production. However, molecular mechanism of defense responses against pink tea mites in tea is still unknown. In this study, metabolomics and transcriptome profiles of susceptible and resistant tea varieties were compared before and after pink tea mite infestation. Results Metabolomics analysis revealed that abundance levels of polyphenol-related compounds changed significantly before and after infestation. At the transcript level, nearly 8 GB of clean reads were obtained from each sequenced library, and a comparison of infested plants of resistant and susceptible tea varieties revealed 9402 genes with significant differential expression. An array of genes enriched in plant pathogen interaction and biosynthetic pathways of phenylpropanoids showed significant differential regulation in response to pink tea mite invasion. In particular, the functional network linkage of disease resistant proteins, phenylalanine ammonia lyase, flavanone -3-hydroxylase, hydroxycinnamoyl-CoA shikimate transferase, brassinosteroid-6-oxidase 1, and gibberellin 2 beta-dioxygenase induced dynamic defense signals to suppress prolonged pink tea mite attacks. Further integrated analyses identified a complex network of transcripts and metabolites interlinked with precursors of various flavonoids that are likely modulate resistance against to pink tea mite. Conclusions Our results characterized the profiles of insect induced metabolic and transcript reprogramming and identified a defense regulatory network that can potentially be used to fend off pink tea mites damage.

PT Perkebunan Nusantara VIII (PTPN VIII) is a State-Owned Enterprise (BUMN). It operates in the plantation sector. The leading commodity is tea. The demand for tea produced by PTPN VIII is increasing. Thus, planning tea production is necessary. One of the production planning efforts is through forecasting based on previous data. Tea production data is time-series data. It contains seasonal elements and is dependent on other locations. We will analyze data with these criteria using space-time models, one of which is vector autoregressive (VAR). VAR models the relationship between observations on certain variables at one time. It also models the observation of the variable itself at previous times. Additionally, VAR models the relationship between observations and other variables at previous times. This paper explains how to forecast tea production. It uses the reconstituted VAR and Seasonal Autoregressive Moving Average (SARIMA) models. The results showed that the reconstituted VAR model was better than the SARIMA model in predicting tea production. The tea production prediction was at the Sedep and Santosa plantations in Bandung Regency.

In order to achieve sustainable development of the tea industry in China, it is necessary to reduce the use of chemical fertiliser rationally. With conventional fertilisation (CF) treatment as the control, five different chemical fertiliser-reduced regimes, including tea-specific formula fertiliser (T1), T1 + acidification amendment (T2), organic substitution based on T1 (T3), urea formaldehyde slow-release fertiliser (T4) and carbon-based organic fertiliser (T5), were conducted and evaluated on a green tea plantation from 2018 to 2021. The results showed that the spring tea yield of T1–T5 increased by 4.65–28.67%, while the free amino acids, tea polyphenols and sensory evaluation scores did not remarkably decrease. In addition, the T1–T5 treatments had a slight effect on soil acidification mitigation (except T2) and maintained the essential nutrients for tea production. Nutrient use efficiency improved, with agronomic efficiency (AE) increasing by 0.01–0.08 kg kg−1, shoot nutrient use efficiency (NUE) by 0.14–0.70% and partial factor productivity (PFP) by 0.05–0.18 kg kg−1. The net economic benefits also improved, with T1 showing a 135.28% increase, followed by T3 (67.53%), T2 (48.65%), T4 (38.07%) and T5 (33.35%). Overall, our results indicated that the T1 treatment could maintain the tea yield and quality while reducing the chemical fertiliser input and maximising the net economic benefit and AE. [ABSTRACT FROM AUTHOR]

Ecosystem health (EH) maintenance and improvement are important goals in environmental and ecological management, and help realize regional sustainable development goals. EH assessment and the regulatory mechanism have remained popular research fields in landscape ecology science. However, the improvement in EH assessment methods is ongoing, the influences of EH and socioeconomic development on agricultural production remain unclear. In this study, we chose Fujian Province in China as the study area, first quantitatively assess EH based on the Vigor–Organization–Resilience–Services (VORS) model, and thereafter explore the response of tea production to EH and socioeconomic development using the structural equation model (SEM). We found that the mean EH value in Fujian Province was 0.52 in 2010, which was 6.12% and 10.64% higher than that in 2000 and 2020, respectively. The high-EH-value regions were distributed in the northwest, while the southeastern regions exhibited low-EH-value agglomerations. According to the temporal evolution characteristics of EH, the kernel density curve patterns exhibited single peaks, and the curves shifted from a broad to a narrow peak from 2000 to 2020, indicating a trend toward a more balanced distribution of EH spatially. SEM results showed a significant positive effect of EH on tea production with a coefficient of 0.86. However, there is a significant trade-off between EH and economic development, as indicated by a coefficient of −0.6. There are also negative indirect effects on tea development when mediated by economic development. However, the overall effect of EH on tea production is 0.8, indicating that EH is still effective in promoting tea production. The results of this study have implications for the integration of ecosystem management and agricultural production management in the region.

ABSTRACTTechnologies are essential for reducing environmental impact and increasing agricultural productivity. Previous adoption studies indicate several socioeconomic, technological, and institutional variables influencing the adoption of agricultural technologies. With less than a decade to the United Nation's sustainable development agenda for 2030, there are yet reports on farmers' resistance to sustainable agricultural technologies. Using a survey and multistage sampling procedure in selecting the respondents of 405 smallholder Chinese farmers, the study models farmers' adoption intensity of sustainable agricultural technologies and their impact on productivity. A 5-point Likert scale was used to analyse farmers' SAT perception levels. The PSM was used to eliminate a major proportion of bias when estimating a more precise treatment effect or impact of SAT adoption on productivity. The findings showed that farmers have mixed perceptions (positive and negative) about SAT adoption, which is reflected in their adoption decisions. The study found that family members as extension officers positively impacted farmers' adoption behaviour. On the contrary, regular visits by agricultural extension services had no impact on farmers' adoption behaviour, but positive on productivity. The results clearly showed elements of constraints in farmers' decision-making. The ATT results showed a significant and positive impact of SATs' adoption on productivity.

Technologies are essential for reducing environmental impact and increasing agricultural productivity. Previous adoption studies indicate several socioeconomic, technological, and institutional variables influencing the adoption of agricultural technologies. With less than a decade to the United Nation's sustainable development agenda for 2030, there are yet reports on farmers' resistance to sustainable agricultural technologies. Using a survey and multistage sampling procedure in selecting the respondents of 405 smallholder Chinese farmers, the study models farmers' adoption intensity of sustainable agricultural technologies and their impact on productivity. A 5-point Likert scale was used to analyse farmers' SAT perception levels. The PSM was used to eliminate a major proportion of bias when estimating a more precise treatment effect or impact of SAT adoption on productivity. The findings showed that farmers have mixed perceptions (positive and negative) about SAT adoption, which is reflected in their adoption decisions. The study found that family members as extension officers positively impacted farmers' adoption behaviour. On the contrary, regular visits by agricultural extension services had no impact on farmers' adoption behaviour, but positive on productivity. The results clearly showed elements of constraints in farmers' decision-making. The ATT results showed a significant and positive impact of SATs' adoption on productivity. [ABSTRACT FROM AUTHOR]

Because of the abundant benefits of tea, it becomes the most favorite drink of the people of the entire world. In India, the state Assam produces a highest amount of tea (i.e., more than 400 million kgs) per annum and it is near about 56% of India's total tea production and it solely exports 40% of the country's overall tea. It contributes to Indian economy up to a great extent. Thus, the time series analysis and forecasting tea production of Assam can help government and policy makers in planning and monitoring it. In this paper an attempt has been made to perform a time series analysis of Tea production of South Bank of Assam from 1961 to 2013 using ARIMA Methodology. According to some model choice criteria among the five fitted models, ARIMA(1,1,1) found to be the best fitted model for the Tea production of South Bank of Assam. According to the diagnostic analysis results, the model is adequately fitted to tea production data and thus it is used for prediction of Tea production for next 15 years. [ABSTRACT FROM AUTHOR]

Tea is a steeped beverage made from the leaves of Camellia sinensis. Globally, this healthy, caffeine-containing drink is one of the most widely consumed beverages. At least 50 countries produce tea and most of the production information and tea research is derived from international sources. Here, we discuss information related to tea production, genetics, and chemistry as well as production issues that affect or are likely to affect emerging tea production and research in the United States. With this review, we relay current knowledge on tea production, threats to tea production, and solutions to production problems to inform this emerging market in the United States.

In order to achieve sustainable development of the tea industry in China, it is necessary to reduce the use of chemical fertiliser rationally. With conventional fertilisation (CF) treatment as the control, five different chemical fertiliser-reduced regimes, including tea-specific formula fertiliser (T1), T1 + acidification amendment (T2), organic substitution based on T1 (T3), urea formaldehyde slow-release fertiliser (T4) and carbon-based organic fertiliser (T5), were conducted and evaluated on a green tea plantation from 2018 to 2021. The results showed that the spring tea yield of T1–T5 increased by 4.65–28.67%, while the free amino acids, tea polyphenols and sensory evaluation scores did not remarkably decrease. In addition, the T1–T5 treatments had a slight effect on soil acidification mitigation (except T2) and maintained the essential nutrients for tea production. Nutrient use efficiency improved, with agronomic efficiency (AE) increasing by 0.01–0.08 kg kg−1, shoot nutrient use efficiency (NUE) by 0.14–0.70% and partial factor productivity (PFP) by 0.05–0.18 kg kg−1. The net economic benefits also improved, with T1 showing a 135.28% increase, followed by T3 (67.53%), T2 (48.65%), T4 (38.07%) and T5 (33.35%). Overall, our results indicated that the T1 treatment could maintain the tea yield and quality while reducing the chemical fertiliser input and maximising the net economic benefit and AE.

The high fertilizer application in tea planting and the large energy consumption in tea processing have raised concerns about greenhouse gas (GHG) emissions of tea production. China is the world's largest tea production country, but its tea production is dominated by smallholder farmers. Therefore, when it comes to GHG emission reduction in tea production, specific measures need to be developed for the smallholder mode. The purpose of this study is to reveal the characteristics and influencing factors of GHG emissions of smallholder tea plantations, as well as to develop GHG emission reduction measures suitable for the smallholder mode. Here, we focus on Fenghuang Dancong tea and two types of smallholder tea plantations, the high-altitude tea plantation (HTP11 HTP: the high-altitude tea plantation; MLP: the mid-low-altitude tea plantation; CF: carbon footprint; GHG: greenhouse gas; CO2-eq: CO2 emission equivalent; LCA: life cycle assessment.) and the mid-low-altitude tea plantation (MLP), in Fenghuang Town, Chaozhou City, China. The carbon footprint (CF) method is employed, which is a widely used method for estimating GHG emissions and expressed in CO2 emission equivalent (CO2-eq). The assessment on the CF of the Fenghuang Dancong tea production and a comparative analysis between the HTP and the MLP have been made. Results show that (1) at the tea planting stage, fertilizer input is the main contributor to the CFplanting; electricity input is the primary component of the CFprocessing at the tea processing stage; (2) considering the two stages of tea planting and processing, the CFtea of the MLP is more than twice that of the HTP; (3) the production and management measures adopted by tea farmers have a significant impact on the CFtea, which are mainly driven by economic interests. In view of these findings, we emphasize the importance of balancing GHG emission reduction with economic benefits and propose GHG emission reduction measures such as formulating subsidy policies for organic fertilizers, promoting green and organic product certification, improving the energy input structure and strengthening scientific guidance. We submit that this study will not only help local managers formulate efficient GHG emission reduction measures, but also provide references for other studies on GHG emissions of tea production in the smallholder mode.

Agriculture in China is undergoing a swift transformation to modify labour relocation. This change is spearheaded by commercial farms and other Chinese government interventions thereby promoting agricultural production and rural growth. The input-dependent industrial model of agriculture is also considered in conflict with attaining a safe and healthy environment for its inhabitants. The current approaches initiated in the tea sector have witnessed several enriched sustainable agricultural technologies (SATs). The SATs seek to increase yield while ensuring agricultural sustainability via ecological strategies. However, reports have shown farmers have low desire resulting in a lower acceptance rate of SATs among Chinese farmers. We provide a systematic review with a focus on the key determinants of SATs adoption rate in tea production in China from 2000 to 2022. The results revealed the significance and suitability of different approaches in establishing farmers’ adoption behaviour. The specificity of farmers’ SAT adoption behaviour is essentially not compromised by any codified variables but the interrelationship among the determinants, including socio-demographic, agroecological and environmental, technological, institutional, and social networks, and informational, and farmer behavioural factors. We recommend that the government increase awareness of SATs to promote public demand for agricultural sustainability, particularly in developing countries.

The construction of standardized tea gardens is the main trend in the development of modern agriculture worldwide. As one of the most important economic crops, tea has increasingly stringent requirements placed on its planting capacity and quality. The application of machine vision technology has led to the gradual development of tea production moving towards intelligence and informatization. In recent years, research on tea production based on machine vision technology has received widespread attention, as it can greatly improve production efficiency and reduce labor costs. This article reviews the current application status of machine vision technology in tea pest monitoring, intelligent harvesting, quality evaluation, and classification, and analyzes and discusses specific challenges around machine vision technology in tea production; for example, this technology lacks a standard database and weather interference, training errors in the model, and differences in the hardware computing speed can become a challenge. Based on the current research and application of machine vision technology in various fields, this article looks ahead to the development prospects and future trends of machine vision technology in tea production applications, such as future research to further integrate multiple types of sensors, improvements in the quality and usability of datasets, optimized model algorithms for existing problems, dissemination of research results, and intelligent management of tea production through machine vision technology. [ABSTRACT FROM AUTHOR]

Tea is a very important cash crop in Vietnam as it provides crucial income and employment for farmers in poor rural areas. Unfortunately, the dominance of long‐term, conventional tea cultivation has caused severe soil health degradation and environmental pollution. At the same time, as tea production may provide a better net income compared with other annual crops such as rice and vegetables, farmers have been converting parts of their allocated land to cultivate tea plants. Little is known about the benefit of agroecological management as an alternative to conventional tea management practices, and thus, there is a need to understand how it can improve tea yields, quality and the livelihoods of the farmers. Conducted in Northern Vietnam from 2019 to 2022, this study examined the impacts of agroecological tea management practices on soil health indicators, tea yield and quality, and net income of tea farmers. We showed that agroecological management practices significantly enhanced soil organic matter by 0.8% and soil pH by 0.5 units on average. Conversely, conventional management based on chemical fertilizer applications, significantly increased soil total nitrogen by 0.15%–0.2%. No significant differences were observed between soil texture and other soil chemical characteristics. Soil biological parameters were also significantly higher in agroecological tea soil and root samples than in conventional tea plots. Average AMF frequency and intensity of the agroecological tea roots were 98% and 37%, respectively, compared with 73% and 15% of the conventional tea roots. Likewise, soil macrofauna and mesofauna abundance in the agroecological tea plantations was 76 individuals/m2 and 101 individuals/100 g fresh soil on average, respectively, while that of conventional tea farms were 34 and 63 individuals/100 g fresh soil, respectively. Interestingly, a comparison between the converted and nonconverted lands did not show any significant effect of the conversion on soil physicochemical and biological characteristics, apart from tea root AMF colonization. Conventional tea management consistently resulted in higher tea yield and yield components, even though the differences were not always statistically significant. Despite lower tea yields, agroecological tea adopters earned around USD 8400 ha/year more than the farmers still practicing conventional management. This study shows that it is economically and environmentally more sustainable to produce organic tea than conventional tea, and our results should encourage more farmers to adopt such agroecological practices in Northern Vietnam. [ABSTRACT FROM AUTHOR]

Tea is one of the most important non-alcoholic beverage in the world and has been gaining further popularity as an important ‘health drink’ in view of its inferable medicinal value. In Bangladesh, commercially tea was cultivated since 1854 by establishing first tea garden Malnicherra Tea Estate in Sylhet. From 1947 to 2020, tea growing area, production and per hectare yield were increased 127.71%, 370.53% and 137.96% respectively. The major reasons behind the increasing tea productivity are extension of tea growing areas as well as cultivation of the tea clones (BT clones) released by Bangladesh Tea Research Institute (BTRI). Till now BTRI released 23 clones and 5 biclones, having average per hectare yield of 3461.67 kg. In the world, tea production, consumption and exportation have increased significantly. Unlike world condition, there is a negative relation between tea production and export in Bangladesh. From 1980 to 2020 the quantity of tea exports was decreased by 92.99%. This situation emphasizes the need for exploring alternative means by the tea industries of increasing profits from tea cultivation and tea export. As a result, researches on tea varietal improvement is needed for rapid economic growth and development of tea industry as well as to encourage tea plantation business to go ahead with more production to meet our own demand along with quality tea to flourish tea business in Bangladesh.

This study has developed a production method for high-quality Genova tea with excellent antioxidant properties. The antioxidant properties of each part of the Genova basil plant (i.e., leaves, flowers, and stems) were determined; the leaves and flowers showed higher antioxidant values. We also investigated the effects of steaming time and drying temperature on the antioxidant composition and properties, color, and aroma using leaves with good yield potential and high antioxidant properties. The color showed excellent green color retention with freeze- and machine-drying at 40 °C without steam-heat treatment. Steaming for 2 min was effective in maintaining high values of total polyphenol content, antioxidant properties (1,1-diphenyl-2-picrylhydrazine and hydrophilic oxygen radical adsorption capacity), rosmarinic acid, and chicoric acid, and a drying temperature of ≤40 °C was recommended. Freeze-drying without steaming was the best method to retain all three of Genova's main aroma components, Linalool, trans-alpha-bergamotene, and 2-methoxy-3-(2-propenyl)-phenol. The method developed in this study can improve the quality of dried Genova products and be applied in the food industry, cosmetics, and pharmaceutical industries. [ABSTRACT FROM AUTHOR]

Tea farming communities in Laos are faced with COVID-19 impacts, while simultaneously having difficulties in access to Fairtrade. This paper examines community issues on how tea farmers perceived Fairtrade as an economic recovery from COVID-19. Taking a case study from five tea farming communities in the Phongsali district of Laos, this paper reveals pivotal role Fairtrade plays in supporting tea farmers' community development to enhance their income and livelihoods. It suggests communities' mixed perceptions of Fairtrade in contributing to economic recovery under the COVID-19 impacts over the long term. We argue that Fairtrade can be deployed as an ad-hoc economic recovery measure in the face of the COVID-19 impacts to sustain tea farmers' trading, income, food security, and community development in Phongsali. This paper suggests how Fairtrade would serve as a safety net for enhancing local community development while the COVID-19 pandemic remains a huge challenge to local economic development. [ABSTRACT FROM AUTHOR]

Agriculture in China is undergoing a swift transformation to modify labour relocation. This change is spearheaded by commercial farms and other Chinese government interventions thereby promoting agricultural production and rural growth. The input-dependent industrial model of agriculture is also considered in conflict with attaining a safe and healthy environment for its inhabitants. The current approaches initiated in the tea sector have witnessed several enriched sustainable agricultural technologies (SATs). The SATs seek to increase yield while ensuring agricultural sustainability via ecological strategies. However, reports have shown farmers have low desire resulting in a lower acceptance rate of SATs among Chinese farmers. We provide a systematic review with a focus on the key determinants of SATs adoption rate in tea production in China from 2000 to 2022. The results revealed the significance and suitability of different approaches in establishing farmers' adoption behaviour. The specificity of farmers' SAT adoption behaviour is essentially not compromised by any codified variables but the interrelationship among the determinants, including socio-demographic, agroecological and environmental, technological, institutional, and social networks, and informational, and farmer behavioural factors. We recommend that the government increase awareness of SATs to promote public demand for agricultural sustainability, particularly in developing countries. [ABSTRACT FROM AUTHOR]

Although the Ministry of Agriculture and Rural Development has issued a procedure of Vietnamese Good Agriculture Practice (VietGAP) for tea production, however, the number of farmers who have VietGAP certification remains very low. This research aimed to find out the determinants of VietGAP adoption in tea production in Thanh Ba District, which is one of the largest and high tea production areas in Phu Tho Province. To achieve this goal, this paper sought to find out factors that have been affecting the adoption of VietGAP in the domain of tea production, and whether some potential explanatory variables are really effective to explain the difference in adoption behaviors of tea farmers. We applied a binary logit model to analyze data from 100 Vietnamese tea farmers. The researh found that age, tea revenue, access to credit, cooperative membership, and VietGAP training have has a positive and statistically significant effect on encouraging the conversion decision of farmers. The study's findings presented useful pieces for information that the Vietnam Government may make use reference to insofar as how to apply and popularize VietGAP tea production in order to produce more safe products, increase farmer's income and protect natural environment. [ABSTRACT FROM AUTHOR]

The use of ecological principles to manage plant pests has attracted renewed attention, but our knowledge related to the contributions of ecological pest management to social and natural sustainability is fragmented. In this study, we compared the performance and resilience of tea production and the economic benefits of tea ecological management (TEM) and tea conventional management (TCM). We show that TEM significantly improved tea biomass and quality, nutritional efficiency, and beneficial insects, but reduced seasonal variation. As a result, economic return increased by $8045/ha in the TEM mode compared to $6064/ha in the TCM mode. These results confirm that TEM is a promising production mode that can reconcile the conflict between the immediate and long-term service of agriculture. However, environmental improvements associated with organic pest control benefit society, and the government should provide adequate financial support to promote the production system. [ABSTRACT FROM AUTHOR]

• Ecosystem health (EH) assessment integrating ecosystem service (ES) is developed. • EH patterns are heterogeneous and become balanced from 2000 to 2020 in Fujian, China. • Significant positive effect of EH on tea product is revealed with coefficient 0.86. • The trade-off was quantified between economic development, EH and tea production. Ecosystem health (EH) maintenance and improvement are important goals in environmental and ecological management, and help realize regional sustainable development goals. EH assessment and the regulatory mechanism have remained popular research fields in landscape ecology science. However, the improvement in EH assessment methods is ongoing, the influences of EH and socioeconomic development on agricultural production remain unclear. In this study, we chose Fujian Province in China as the study area, first quantitatively assess EH based on the Vigor–Organization–Resilience–Services (VORS) model, and thereafter explore the response of tea production to EH and socioeconomic development using the structural equation model (SEM). We found that the mean EH value in Fujian Province was 0.52 in 2010, which was 6.12% and 10.64% higher than that in 2000 and 2020, respectively. The high-EH-value regions were distributed in the northwest, while the southeastern regions exhibited low-EH-value agglomerations. According to the temporal evolution characteristics of EH, the kernel density curve patterns exhibited single peaks, and the curves shifted from a broad to a narrow peak from 2000 to 2020, indicating a trend toward a more balanced distribution of EH spatially. SEM results showed a significant positive effect of EH on tea production with a coefficient of 0.86. However, there is a significant trade-off between EH and economic development, as indicated by a coefficient of −0.6. There are also negative indirect effects on tea development when mediated by economic development. However, the overall effect of EH on tea production is 0.8, indicating that EH is still effective in promoting tea production. The results of this study have implications for the integration of ecosystem management and agricultural production management in the region. [ABSTRACT FROM AUTHOR]

The construction of standardized tea gardens is the main trend in the development of modern agriculture worldwide. As one of the most important economic crops, tea has increasingly stringent requirements placed on its planting capacity and quality. The application of machine vision technology has led to the gradual development of tea production moving towards intelligence and informatization. In recent years, research on tea production based on machine vision technology has received widespread attention, as it can greatly improve production efficiency and reduce labor costs. This article reviews the current application status of machine vision technology in tea pest monitoring, intelligent harvesting, quality evaluation, and classification, and analyzes and discusses specific challenges around machine vision technology in tea production; for example, this technology lacks a standard database and weather interference, training errors in the model, and differences in the hardware computing speed can become a challenge. Based on the current research and application of machine vision technology in various fields, this article looks ahead to the development prospects and future trends of machine vision technology in tea production applications, such as future research to further integrate multiple types of sensors, improvements in the quality and usability of datasets, optimized model algorithms for existing problems, dissemination of research results, and intelligent management of tea production through machine vision technology.

Global climate change that causes drought requires integrated and sustainable crop management through management of soil water content in tea plantations. In dry season in tropical and subtropical climate conditions, there is a decrease in soil water content between 11-28%. To minimize the decline in production, it can be anticipated by knowing the changes in water content in the soil. The purpose of this research was to determine the effect of slope and year pruning tea plant (YP) on soil water content and shoot production in tea plantations. The research was conducted in November 2020 - April 2021, at Research Institute for Tea and Chincona, West Java, Indonesia. The research design used a factorial randomized block design with 2 factors, factor 1 (year of pruning) and factor 2 (slope). The parameters observed were soil water content and shoot production. The results showed that the factor of slope and year of pruning did not show any significant interactions and differences in soil water content a soil water content found at YP-3 at 40.48% and the highest shoot production at YP-2 of 20.06 kg/plot. The effect year of pruning (YP) is highly correlated and has a strong relationship to soil water content. The results of this study can be used to predict the actual situation the tea leaf growing period, which can improve the management of tea production plantations and also provide a scientific basis for accurate timing of effective fertilization of tea planting, as well as providing technical support for the future of farming technology. [ABSTRACT FROM AUTHOR]

Tea is a steeped beverage made from the leaves of Camellia sinensis. Globally, this healthy, caffeine-containing drink is one of the most widely consumed beverages. At least 50 countries produce tea and most of the production information and tea research is derived from international sources. Here, we discuss information related to tea production, genetics, and chemistry as well as production issues that affect or are likely to affect emerging tea production and research in the United States. With this review, we relay current knowledge on tea production, threats to tea production, and solutions to production problems to inform this emerging market in the United States. [ABSTRACT FROM AUTHOR]

Tea is a steeped beverage made from the leaves of Camellia sinensis. Globally, this healthy, caffeine-containing drink is one of the most widely consumed beverages. At least 50 countries produce tea and most of the production information and tea research is derived from international sources. Here, we discuss information related to tea production, genetics, and chemistry as well as production issues that affect or are likely to affect emerging tea production and research in the United States. With this review, we relay current knowledge on tea production, threats to tea production, and solutions to production problems to inform this emerging market in the United States.

The soil microbial community is a key indicator to evaluate the soil health and productivities in agricultural ecosystems. Monoculture and conversions of forests to tea plantations have been widely applied in tea plantation globally, but long-term monoculture of tea plantation could lead to soil degradation and yield decline. Understanding how long-term monoculture systems influence the soil health and ecosystem functions in tea plantation is of great importance for soil environment management. In this study, through the comparison of three independent tea plantations across eastern China composed of varying stand ages (from 3 to 90 years after conversion from forest), we found that long-term tea monoculture led to significant increases in soil total organic carbon (TOC) and microbial nitrogen (MBN). Additionally, the structure, function, and co-occurrence network of soil bacterial communities were investigated by pyrosequencing 16S rRNA genes. The pyrosequencing analysis revealed that the structures and functions of soil bacterial communities were significantly affected by different stand ages, but sampling sites and land-use conversion (from forest to tea plantation) had stronger effects than stand age on the diversity and structure of soil bacterial communities. Soil bacterial diversity can be improved with increasing stand ages in tea plantation. Further RDA analysis revealed that the C and N availability improvement in tea plantation soils led to the variation of structure and function in soil bacterial communities. Moreover, co-occurrence network analysis of soil bacterial communities also demonstrated that interactions among soil bacteria taxa were strengthened with increasing stand age. Our findings suggest that long-term monoculture with proper managements could be beneficial to soil ecosystems by increasing the C and N content and strengthening bacterial associations in tea plantations. Overall, this study provides a comprehensive understanding of the impact of land-use change and long-term monoculture stand age on soil environments in tea plantation. [ABSTRACT FROM AUTHOR]

The soil microbial community is a key indicator to evaluate the soil health and productivities in agricultural ecosystems. Monoculture and conversions of forests to tea plantations have been widely applied in tea plantation globally, but long-term monoculture of tea plantation could lead to soil degradation and yield decline. Understanding how long-term monoculture systems influence the soil health and ecosystem functions in tea plantation is of great importance for soil environment management. In this study, through the comparison of three independent tea plantations across eastern China composed of varying stand ages (from 3 to 90 years after conversion from forest), we found that long-term tea monoculture led to significant increases in soil total organic carbon (TOC) and microbial nitrogen (MBN). Additionally, the structure, function, and co-occurrence network of soil bacterial communities were investigated by pyrosequencing 16S rRNA genes. The pyrosequencing analysis revealed that the structures and functions of soil bacterial communities were significantly affected by different stand ages, but sampling sites and land-use conversion (from forest to tea plantation) had stronger effects than stand age on the diversity and structure of soil bacterial communities. Soil bacterial diversity can be improved with increasing stand ages in tea plantation. Further RDA analysis revealed that the C and N availability improvement in tea plantation soils led to the variation of structure and function in soil bacterial communities. Moreover, co-occurrence network analysis of soil bacterial communities also demonstrated that interactions among soil bacteria taxa were strengthened with increasing stand age. Our findings suggest that long-term monoculture with proper managements could be beneficial to soil ecosystems by increasing the C and N content and strengthening bacterial associations in tea plantations. Overall, this study provides a comprehensive understanding of the impact of land-use change and long-term monoculture stand age on soil environments in tea plantation.

This study has developed a production method for high-quality Genova tea with excellent antioxidant properties. The antioxidant properties of each part of the Genova basil plant (i.e., leaves, flowers, and stems) were determined; the leaves and flowers showed higher antioxidant values. We also investigated the effects of steaming time and drying temperature on the antioxidant composition and properties, color, and aroma using leaves with good yield potential and high antioxidant properties. The color showed excellent green color retention with freeze- and machine-drying at 40 °C without steam-heat treatment. Steaming for 2 min was effective in maintaining high values of total polyphenol content, antioxidant properties (1,1-diphenyl-2-picrylhydrazine and hydrophilic oxygen radical adsorption capacity), rosmarinic acid, and chicoric acid, and a drying temperature of ≤40 °C was recommended. Freeze-drying without steaming was the best method to retain all three of Genova’s main aroma components, Linalool, trans-alpha-bergamotene, and 2-methoxy-3-(2-propenyl)-phenol. The method developed in this study can improve the quality of dried Genova products and be applied in the food industry, cosmetics, and pharmaceutical industries.

Tea is one of India's most famous hot beverages and India is the second-largest producer of tea, which results in 23% of the world tea production. The tea industry plays a vital role in the Indian economy. Also, it has a substantial impact on the livelihood of many people employed directly and indirectly by the industry. This research study outlines the development of a conventional time series model, namely the Autoregressive Integrated Moving Average (ARIMA) model for the annual tea production of India. The study used R programming for the analysis. The analyzed data are secondary and obtained from the Tea Board of India, Ministry of Commerce, from 1947 to 2016 with 70 years of data. Based on different diagnostic and evaluation criteria, ARIMA (1,1,2) is the best-fitted forecasting model. [ABSTRACT FROM AUTHOR]

The use of ecological principles to manage plant pests has attracted renewed attention, but our knowledge related to the contributions of ecological pest management to social and natural sustainability is fragmented. In this study, we compared the performance and resilience of tea production and the economic benefits of tea ecological management (TEM) and tea conventional management (TCM). We show that TEM significantly improved tea biomass and quality, nutritional efficiency, and beneficial insects, but reduced seasonal variation. As a result, economic return increased by $8045/ha in the TEM mode compared to $6064/ha in the TCM mode. These results confirm that TEM is a promising production mode that can reconcile the conflict between the immediate and long-term service of agriculture. However, environmental improvements associated with organic pest control benefit society, and the government should provide adequate financial support to promote the production system.

This study aimed at analyzing technical, allocative and economic efficiency of tea farms in Fouman County of Guilan Province, Northern Iran. Data were collected through questionnaire and face-to-face interviews with 200 tea farmers in 2017. The data then were analyzed using descriptive statistics, data envelopment analysis (DEA), as well as correlation analysis. The average technical, allocative and economic efficiency, assuming constant return to scale in input-oriented model, were found to be 86, 71 and 61 percent respectively. These figures for variable return to scale were 87, 74 and 65 percent respectively. These results indicate that over 60 percent of the surveyed farms enjoyed scale efficiency. Of those socio characteristics affecting tea farmer's efficiency: age, educational level and family size had positive and significant correlation with technical efficiency. The findings suggest that, the elderly and better educated farmers combined their previous knowledge of farming adopting proper farming practices may achieve production efficiency.

Using a logistic regression model, this study examines those factors affecting the decision made by farmers to convert from conventional to organic tea production activities in the mountainous areas of northern Vietnam. Data were collected from a household survey conducted among 181 organic and 195 conventional tea-producing households in the provinces of Thai Nguyen and Ha Giang. The results of this survey reveal that farm size, participation in training programs, access to credit, access to extension services, technology support, and market access had a positive impact on the adoption of organic farming methods. For the novice organic tea farmers living in this relatively undeveloped region, one with high poverty levels, economic motives played an important role in the decision to convert to organic practices. Although the tea farmers had a good awareness of the health and environmental benefits brought by organic farming practices, this had so far not led to conversion on a large scale. Therefore, in order to expand organic tea production activities in northern Vietnam, it will be necessary to improve tea farmers' knowledge of organic farming, and also show them the potential economic benefits to be brought by organic farming over the longer term. Besides, the Vietnamese government should create the conditions and policy environment needed to promote the expansion of organic tea production activities. [ABSTRACT FROM AUTHOR]

Sodium alginate oligomers were tested for tea plant growth promoter and anti-fungal agent in this experiment. Sodium alginate solutions were irradiated by Co-60 gamma radiation with different radiation doses to produce the oligomers. Irradiated solutions were then diluted into 150, 300 and 500 ppm prior to foliar application. Solutions were applied through foliar spraying at 7 days interval and the best response of tea plants in terms of various attributes were recorded. Tea buds were collected in 10 days of interval and the growth attributes like- total number of buds, fresh weight of buds, average leaf area and weight per bud, weight of made tea etc. were calculated. The experiment was continued up to 12 weeks and the attributes were averaged to get results per plucking. 12 kGy radiation doses along with 300ppm solution showed the best results and about 36% increase in productivity was found based on the fresh weight of buds. Total fungal count in tea leaves was also found to be reduced greatly. Based on the present study, irradiated sodium alginate could be used as safe and environmentally friendly agent to increase tea production.

• Most tea farmers in Nepal are aware of climate change and how to adapt to it. • Common adaptation strategies are crop diversification, soil conservation, agroforestry, and the usage of less climate-sensitive tea cultivars. • Farmers who are members of a cooperative, who have access to credit, and who attended frequent training generally used a wider range of climate change adaptation strategies. • Many tea farmers are not aware of the government's strategic plans to increase the production and export of Nepalese tea. Climate change is threatening the livelihood of tea farmers in Nepal. Simultaneously, the production of tea is becoming an increasingly important economic sector for the country. This study aimed to reveal the adaptation behavior towards climate change among smallholder tea farmers, particularly which demographic, institutional, and information source factors are likely to influence the degree of adaptation. We collected quantitative data in the district of Ilam via 91 farmers through a questionnaire survey and applied descriptive statistics, multiple regression, and binary logistic regression models to analyze the collected data. Findings revealed that information sources (peer exchange, internet, and training attendance), as well as institutional factors (cooperative membership and credit access), positively influenced the degree of climate change adaptation among the respondents. Easier credit access and joining cooperatives could enhance the adaptative capacity of smallholder tea farmers. Improving the interaction between the Nepalese government and stakeholders involved in the domestic tea value chain could also increase economic success. [ABSTRACT FROM AUTHOR]

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Increasing consumer awareness on sustainable and healthy food choices has given rise to a growing demand for organic tea in past decades. Most of this demand is met by imports from developing countries. This article examines the main factors affecting the choice of farm households to adopt organic tea production in Northern Vietnam. We apply a logit model to survey data from 241 Vietnamese tea farming households. We assess the robustness of the results by addressing three important statistical issues: (i) regressor endogeneity, (ii) unobserved heterogeneity at farm level and (iii) missing values. The main results are chiefly robust and largely in line with the theory. We find that farm households with higher revenues, located in rich natural and physical environments, are significantly more inclined to adopt organic tea production. Furthermore, the analysis reveals that farm households who are consulted by extension agents and belong to a tea association increase the odds for the adoption of organic tea cultivation. [ABSTRACT FROM AUTHOR]

Purpose: The theme of effects of contract farming on income of farmers has been strongly debated by scholars in recent years, especially in developing countries. This article attempts to investigate the influence of contract farming on the income of farmers in tea production in Phu Tho province of Vietnam. Research Method: Primary data for the study is gathered by a cross-sectional survey on 358 tea farmers in five districts of Phu Tho province between March and June 2016. Propensity score matching is employed to assess effects of contract participation on income of tea farmers in Phu Tho province, Vietnam. Findings: Our results suggest that contract farming can have a minor positive impact on farmers' incomes. The average income of contracted farmers is found to be higher than that of their counterparts by about US$720 per year. Due to this small difference of income, contract farming plays an important role in procuring leaf tea, stabilising prices of leaf tea and generating employment rather than enhancing income for tea farmers. Originality/value: The research contributes to the empirical work by providing an evidence on influences of contract farming on income of tea farmers as well as re-examining the importance of contract farming to improving livelihood of tea farmers in Phu Tho province, Vietnam. [ABSTRACT FROM AUTHOR]

[Display omitted] • We calculate carbon footprints (CF) of different smallholder tea plantations. • CF of mid-low-altitude plantations is more than twice of that of high-altitude ones. • Fertilizer and electricity inputs contribute greatly to the CF in tea production. • Farmers' adoption of different management measures is driven by tea profits. • Suggestions are made for balancing carbon reduction with economic benefits. The high fertilizer application in tea planting and the large energy consumption in tea processing have raised concerns about greenhouse gas (GHG) emissions of tea production. China is the world's largest tea production country, but its tea production is dominated by smallholder farmers. Therefore, when it comes to GHG emission reduction in tea production, specific measures need to be developed for the smallholder mode. The purpose of this study is to reveal the characteristics and influencing factors of GHG emissions of smallholder tea plantations, as well as to develop GHG emission reduction measures suitable for the smallholder mode. Here, we focus on Fenghuang Dancong tea and two types of smallholder tea plantations, the high-altitude tea plantation (HTP 1 1 HTP: the high-altitude tea plantation; MLP: the mid-low-altitude tea plantation; CF: carbon footprint; GHG: greenhouse gas; CO 2 -eq: CO 2 emission equivalent; LCA: life cycle assessment.) and the mid-low-altitude tea plantation (MLP), in Fenghuang Town, Chaozhou City, China. The carbon footprint (CF) method is employed, which is a widely used method for estimating GHG emissions and expressed in CO 2 emission equivalent (CO 2 -eq). The assessment on the CF of the Fenghuang Dancong tea production and a comparative analysis between the HTP and the MLP have been made. Results show that (1) at the tea planting stage, fertilizer input is the main contributor to the CF planting ; electricity input is the primary component of the CF processing at the tea processing stage; (2) considering the two stages of tea planting and processing, the CF tea of the MLP is more than twice that of the HTP; (3) the production and management measures adopted by tea farmers have a significant impact on the CF tea , which are mainly driven by economic interests. In view of these findings, we emphasize the importance of balancing GHG emission reduction with economic benefits and propose GHG emission reduction measures such as formulating subsidy policies for organic fertilizers, promoting green and organic product certification, improving the energy input structure and strengthening scientific guidance. We submit that this study will not only help local managers formulate efficient GHG emission reduction measures, but also provide references for other studies on GHG emissions of tea production in the smallholder mode. [ABSTRACT FROM AUTHOR]

Standards have become an important object of investigation in social science and STS scholars have called for a more systematic program of research to study standards or standardization (Busch 2011; Timmermans and Epstein 2010). In this considering concepts paper, we engage with their program for a sociology of standards and propose a new way to think about standards and standardization as “spaces of diversity” so as to push our thinking forward about how standards, standardization and innovation processes are linked. We consider standardization as the dynamic interaction in three spaces (standards in the making, standards in action, and standards in circulation) where diversity reemerges only to be tentatively reduced or limited through new rounds of standard setting. We illustrate how diversity is an integral part of standardization with the example of the Rainforest Alliance standard for tea production as it circulated from Costa Rica to Kenya, where it was made and put into action and then circulated again to other African, Asian, and Latin American countries. We end with a proposition for future research on standards to address these other spaces of standards as loci of standardization and innovation.

This study aimed at analyzing technical, allocative and economic efficiency of tea farms in Fouman County of Guilan Province, Northern Iran. Data were collected through questionnaire and face-to-face interviews with 200 tea farmers in 2017. The data then were analyzed using descriptive statistics, data envelopment analysis (DEA), as well as correlation analysis. The average technical, allocative and economic efficiency, assuming constant return to scale in input-oriented model, were found to be 86, 71 and 61 percent respectively. These figures for variable return to scale were 87, 74 and 65 percent respectively. These results indicate that over 60 percent of the surveyed farms enjoyed scale efficiency. Of those socio characteristics affecting tea farmers efficiency: age, educational level and family size had positive and significant correlation with technical efficiency. The findings suggest that, the elderly and better educated farmers combined their previous knowledge of farming adopting proper farming practices may achieve production efficiency.

In view of the remote monitoring demand of tea processing and the lack of tea processing traceability, a remote IoT (Internet of things) monitoring platform for state parameters during tea processing was proposed. It achieved the remote monitoring of both processing line and tea state. A traceability evaluation model of tea processing was established by using B/S framework to show real-time information, combined data of both fresh leaf states and tracing information of processing, and analytic hierarchy process to analyze the effects of production parameters on tea quality. On this basis, the quality evaluation model of tea production offline and online database fusion was constructed to improve the quality of data storage. Finally, the remote monitoring system development and traceability information collection verification test were carried out for the Huangshan Maofeng preliminary processing production line. The results show that the platform is stable, the data display is accurate and complete, and the real-time performance is good, which provides technical support for tea quality optimization and big data analysis. [ABSTRACT FROM AUTHOR]

Agricultural production in the face of climate change requires a climate-smart transformation and reorientation at multiple scales. Vietnam is one of the developing countries that is agriculture-based and severely affected by climate change,therefore it is crucial that the agricultural system advances toward this transformation. While climate-smart agriculture has gained a significant attention in global fora, context-specific evidence is still scarce in Vietnam. This study examines climate-smart agriculture potentials in tea production systems in the northern mountainous region of Vietnam. Since the climate-smart agriculture concept is multidimensional, which includes food security and adaptation and mitigation, an interdisciplinary analytical framework is employed in this research to assess the economic and biophysical dimensions. Enterprise budgets and representative farms (i.e., farms or households having one or more activities or enterprises) are developed for tea and alternative crops, as well as livestock production, to analyze the productivity dimension of food security. In evaluating the adaptation potential of tea production, local farmers' perceptions and experiences of extreme weather events are combined with ERA-Interim data (1989-2013) and household survey data on income levels (reanalysis dataset taken from the European Centre for Medium-Range Weather Forecasts,ERA stands for ECMWF Reanalysis). Greenhouse gas emissions and carbon sequestration potentials are estimated through partial Carbon Footprint Life Cycle Assessment. Results show that tea production systems generate net margins, returns to capital, and family labor higher than the alternatives. Farmers, therefore, have high incentives to switch from other crops to tea production. In the face of climate change, tea has shown a strong biophysical adaptive capacity compared to other crops in the northern mountainous region. Tea production systems have a high capability for carbon storage. Evidence of strong synergies between food security and mitigation and adaptation is demonstrated for tea production systems in the northern mountainous region, and potential tradeoffs were highlighted, where relevant. [ABSTRACT FROM AUTHOR]

The spatial agglomeration of agricultural production is conducive to reducing planting costs, increasing production efficiency and improving product quality. It is an important way to promote the transformation and upgrad of tea industry and realize the modernization of China's tea industry. This study used Gini coefficient and spatial autocorrelation analysis to explore the characteristics of tea spatial agglomeration in China from three geographical scales: regional level, provincial level and prefecture level from the year 2005 to 2015. The results indicated that there was a significant scale effect on the tea spatial agglomeration. The agglomeration degree increased from the regional level, provincial level to prefecture level. The types of spatial agglomeration evolution of the three scales were Ushaped, continuous diffusion, and continuous agglomeration. The spatial autocorrelation of tea production could only be found at the prefecture level. Meanwhile, at the prefecture scale, we could not only reveal the pattern changes at the regional and provincial levels, but also identify tea production agglomeration regions. Compared with the large scale, the small scale could reveal the characteristics of tea spatial agglomeration in more details. Factors such as natural resource endowments, cost factor, technological advancement, agglomeration economy, and agricultural policy influenced the evolution of tea spatial agglomeration from different geographical scales. Finally, from the perspectives of spatial transfer of tea production, promoting spatial agglomeration, building tea production bases, and breaking administrative boundaries, we proposed several policy suggestions for optimizing the spatial layout of tea production. [ABSTRACT FROM AUTHOR]

The production of tea ( Camellia sinensis (L.) Kuntze), the world’s second most consumed beverage, is susceptible to extreme weather events. However, our understanding about the impacts of extreme temperatures and climate change on tea yields remains fairly limited. Here we quantify the historical and predict future fluctuations in tea yield caused by extreme temperatures in China, the largest tea producing country. We found that both heat and cold extremes were associated with significantly reduced tea yields. In the present climate, dominating cold extremes influence more than half of China’s tea production, with a maximum of 56.3% reduced annual production. In the near future, we predict positive net impacts of climate change on tea yield in all study regions at both the 1.5 °C and 2.0 °C global warming levels. Climate warming may diminish the negative impacts of cold extremes to 14%, especially at the current most affected northern tea growing regions (>28° N). However, new areas of yield reduction by intensified heat extremes will emerge, up to 14%–26% yield losses estimated at the Yangtze River (∼30° N) and southern China (