Observing climate impacts on tea yield in Assam, India

Duncan, John; Saikia, Sukanya D.; Gupta, Niladri; Biggs, Eloise M.

doi:10.1016/j.apgeog.2016.10.004

Cited by 87 publications

(58 citation statements)

References 22 publications

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“…Despite these known differences, the choice of weather dataset is often an arbitrary decision in studies that use these datasets to evaluate climate impacts on agriculture and other sectors (Auffhammer et al 2012, Cai et al 2014, Duncan et al 2016. To date, there has been little evaluation of how the choice of reference weather datasets affects estimates of implied sensitivity of agriculture to climate variability and change from statistical crop yield models.…”

Section: Introductionmentioning

confidence: 99%

Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change

Parkes

Higginbottom

Hufkens

et al. 2019

Environ. Res. Lett.

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Weather shocks, such as heatwaves, droughts, and excess rainfall, are a major cause of crop yield losses and food insecurity worldwide. Statistical or process-based crop models can be used to quantify how yields will respond to these events and future climate change. However, the accuracy of weather-yield relationships derived from crop models, whether statistical or process-based, is dependent on the quality of the underlying input data used to run these models. In this context, a major challenge in many developing countries is the lack of accessible and reliable meteorological datasets. Gridded weather datasets, derived from combinations of in situ gauges, remote sensing, and climate models, provide a solution to fill this gap, and have been widely used to evaluate climate impacts on agriculture in data-scarce regions worldwide. However, these reference datasets are also known to contain important biases and uncertainties. To date, there has been little research to assess how the choice of reference datasets influences projected sensitivity of crop yields to weather. We compare multiple freely available gridded datasets that provide daily weather data over the Indian sub-continent over the period 1983-2005, and explore their implications for estimates of yield responses to weather variability for key crops grown in the region (wheat and rice). Our results show that individual gridded weather datasets vary in their representation of historic spatial and temporal temperature and precipitation patterns across India. We show that these differences create large uncertainties in estimated crop yield responses and exposure to variability in growing season weather, which in turn, highlights the need for improved consideration of input data uncertainty in statistical studies that explore impacts of climate variability and change on agriculture.

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Section: Introductionmentioning

confidence: 99%

Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change

Parkes

Higginbottom

Hufkens

et al. 2019

Environ. Res. Lett.

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show abstract

“…Changes in temperature, rainfall, and the occurrence of extreme weather events such as drought and high-intensity rainfall have adversely affected yield and production of tea in recent decades , Wijeratne et al 2007b, Duncan et al 2016. Drought events in the region are primarily due to a weak southwest monsoon on the Indian sub-continent, leading to a failure of wet season rainfall (FAO 2016).…”

Section: Effect Of Global Climate Changes On Tea Productionmentioning

confidence: 99%

Environmental and nutritional requirements for tea cultivation

Hajiboland

2017

Folia Horticulturae

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Tea (Camellia sinensis) is an important beverage crop cultivated in the tropics and subtropics under acid soil conditions. Increased awareness of the health-promoting properties of the tea beverage has led to an increase in its level of consumption over the last decades. Tea production contributes significantly to the economy of several tea-cultivating countries in Asia and Africa. Environmental constrains, particularly water deficiency due to inadequate and/or poorly distributed rainfall, seriously limit tea production in the majority of tea-producing countries. It is also predicted that global climate change will have a considerable adverse impact on tea production in the near future. Application of fertilizers for higher production and increased quality and quantity of tea is a common agricultural practice, but due to its environmental consequences, such as groundwater pollution, the rate of fertilizer application needs to be reconsidered. Cultivation of tea under humid conditions renders it highly susceptible to pathogens and pest attacks. Application of pesticides and fungicides adversely affects the quality of tea and increases health risks of the tea beverage. Organic cultivation as an agricultural practice without using synthetic fertilizers and other chemical additives such as pesticides and fungicides is a sustainable and eco-friendly approach to producing healthy tea. A growing number of tea-producing countries are joining organic tea cultivation programmes in order to improve the quality and to maintain the health benefits of the tea produced.Ke y wor d s: aluminium, global climate change, nitrogen fertilizers, organic culture, phosphorus fertilizers, soil pH, water deficiency Abbreviations: C a -atmospheric CO 2 concentration, T a -atmospheric temperature, ESTs -estimated sequence tags, N sh -harvestable shoot density, W sh -harvestable shoot weight, C i -intracellular CO 2 concentration, T l -leaf temperature, P max -maximum photosynthetic rate, T m -maximum temperature, P n -net photosynthetic rate, T o -optimum temperature, PAR -photosynthetic active radiation, ROS -reactive oxygen species, SER -shoot extension rate, SRC -shoot replacement cycle, T s -soil temperature, SWD -soil water deficit, g s -stomatal conductance, SSH technique -suppression subtractive hybridization technique, T t -threshold temperature, TE -transpiration efficiency, VPD -vapour pressure deficit, WUE -water use efficiency

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“…Drought is one of the main causes of productivity declining issues of tea plant following an excessive rainfall. An increase in average temperature by global warming will reduce the productivity of tea plantations (Duncan, Saikia, Gupta, & Biggs, 2016). Periods of drought can lead to reduce yield and increase susceptibility to pest attacks (Dikshit & Dikshit, 2014).…”

Section: The Design Of Experiments In This Researchmentioning

confidence: 99%

The Influence of Mineral-Based Compound Fertilizer (CFC) on the Health and Production of Tea Plant Clone GMB 7

Pranoto¹,

Saleh²,

Wulansari³

2018

Agrivita.J.Agr.Sci

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Tea is a commodity that has a significant contribution to Indonesia's foreign exchange, especially from non-oil and gas sectors. Fertilization is one of the important factors to produce high productivity and keep the plant healthy. The healthy plants are simply indicated by the ratio of pecco and banji more than 2.33. This research aimed to test the effect of Mineral-Based Compound Fertilizer (CFC) on a plant health and tea plant productivity. The research was carried out in April-October 2014 at the Gambung Experimental Station, Block B6, Research Institute for Tea and Chincona by using CFC with a composition of 80% Mineral Compound Fertilizer, 10% urea, and 10% KCl. The experiments used a Randomize Blocked Design with four replications and six treatments; i.e. 120% CFC tekMIRA; 100% CFC tekMIRA; 80% CFC tekMIRA; 60% CFC tekMIRA; NPK (25:7:12:3) as control compound fertilizer; and single standard fertilizer. The result showed that all of the treatments did not increase the plant health. However, the application of CFC produced a higher tea plant productivity compared to NPK (25:7:12:3) as control compound fertilizer and single standard fertilizer. Based on regression equation, the dose of CFC that produced the optimal tea productivity was 93.92%.

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Observing climate impacts on tea yield in Assam, India

Cited by 87 publications

References 22 publications

Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change

Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change

Environmental and nutritional requirements for tea cultivation

The Influence of Mineral-Based Compound Fertilizer (CFC) on the Health and Production of Tea Plant Clone GMB 7

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