Assessment of future climate variability and potential adaptation strategies on yield of peanut and Kharif rice in eastern India

Halder, Debjani; Kheroar, Shyamal; Srivastava, R. K.; Panda, Rutuparna

doi:10.1007/s00704-020-03123-5

Cited by 24 publications

(12 citation statements)

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“…In this model, high temperatures affect the crop growth and development with the allocation of assimilates to the reproductive organs resulting in decreased pod set and seed growth ( Prasad et al, 2003 ). The CROPGRO model's ability to not only accurately predict high temperature effects ( Kumar et al, 2012 ; Singh et al, 2012 ; Halder et al, 2020 ) but also leaf and canopy assimilation responses to CO 2 seen in soybean ( Alagarswamy et al, 2006 ) and groundnut ( Bannayan et al, 2009 ; Halder et al, 2015 ; Rajwade et al, 2015 ) makes it an ideal choice to study climate change impacts in groundnut. In the model, we used future climate data during the mid-century period (2040-69), and the corresponding projected CO 2 concentration (571 ppm) according to RCP 8.5 to study the climate change impacts.…”

Section: Methodsmentioning

confidence: 99%

“…They have used either process-based biophysical models or economic and statistical models ( Singh et al, 2014a ; Rosenzweig and Hillel, 2015 ; Kadiyala et al, 2015 ; Cammarano et al, 2020 ). Crop simulation and other autoregressive models have been widely used to examine the impacts of abiotic stresses such as long-term changes in surface temperatures, carbon dioxide (CO 2 ) emissions and rainfall on various crops ( Halder et al, 2020 ; Ye et al, 2020 ; Demirhan, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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Modeling the potential impacts of climate change and adaptation strategies on groundnut production in India

Kadiyala

Nedumaran

Padmanabhan

et al. 2021

Science of The Total Environment

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Groundnut is one of the significant sources of oil, food, and fodder in India. It is grown in marginal arid and semi-arid agro-ecosystems with wide yield fluctuations due to spatial variability of rainfall and soil. Climate change, which is predicted to increase the intra- and inter-annual rainfall variability will further constrain the groundnut economy in India besides the global and domestic economic, social and policy changes. Through this study we aim to examine the biophysical and social economic impacts of climate change on groundnut production and prices to provide a comprehensive analysis of how agriculture and the food system will be affected. Using projected climate data for India, we estimated the biophysical impacts of climate change on groundnut during mid-century using representative concentration pathway (RCP 8.5) scenario. We examined the impacts of changes in population and income besides environmental factors on groundnut productivity. This is to highlight the importance of holistic assessment of biophysical and socioeconomic factors to better understand climate change impacts. Modelled projections show that by 2050, climate change under an optimistic scenario will result in −2.3 to 43.2% change in groundnut yields across various regions in India when climate alone was factored in. But the change in groundnut yields ranged from −0.9% to 16.2% when economic (population and income) and market variables (elasticities, trade, etc.) were also considered. Similarly, under pessimistic climate change scenario, the percent change in groundnut yields would be −33.7 to 3.4 with only the climate factored in and −11.2 to 4.3 with the additional economic and market variables included. This indicates the sensitivity of climate change impacts to differences in socioeconomic factors. This study highlights the need to take into account market effects to gain a holistic understanding of how economic and environmental factors impact agricultural food systems and economies.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling the potential impacts of climate change and adaptation strategies on groundnut production in India

Kadiyala

Nedumaran

Padmanabhan

et al. 2021

Science of The Total Environment

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“…Climate conditions directly affect peanut development 14 . Peanuts, similar to other crops, are limited by climatic factors 15,16 . Air temperature and rainfall are the weather elements that influence peanut development the most, 17,18 with peanuts developing well in the air temperature range of 25–30 °C, 19 and with temperatures above 32 °C reducing the amount of fruit mass 20 .…”

Section: Introductionmentioning

confidence: 99%

Climate risk to peanut cultivation in Brazil across different planting seasons

Aparecido

Lorençone

et al. 2021

J Sci Food Agric

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BACKGROUND Peanuts are widely grown in Brazil because of their great importance in the domestic vegetable oil industry and the succession of sugarcane, soybean and maize crops, contributing to soil conservation and improvement in agricultural areas. Thus, the present study aimed to determine the zoning of peanuts' climatic risk by estimating the water requirement satisfaction index (WRSI) for the crop in Brazil. We used a historical series of data on average air temperature and rainfall between 1980 and 2016. Reference evapotranspiration was estimated using the method of Thornthwaite, and we subsequently calculated crop evapotranspiration and maximum evapotranspiration. Water balances for all stations were calculated using the method of Thornthwaite and Mather, with an available water capacity in the soil of 15, 30 and 45 mm. The definitions of suitable, unfit and restricted areas and the planting season were performed using the WRSI. RESULTS Brazil has low climatic risk areas for growing peanuts throughout the year, except for winter. The country reveals that 88.19%, 97.93%, 99.16% and 39.25% of its area is suitable for planting peanuts on planting dates in spring, summer, autumn and winter, respectively. CONCLUSION Brazil has a large part of the areas favorable to the planting of peanuts. The maximum availability of soil water at a depth of 15, 30 and 45 mm does not influence regions with respect to peanut growing in Brazil. The states of Piauí, Ceará and Bahia are the most unsuitable on the winter planting date, with an average WRSI of 0.22. © 2021 Society of Chemical Industry

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“…Climatic condition is one of the factors that most in uence agricultural activity in a region (Halder et al 2020). For its identi cation is necessary to analyze the atmospheric elements that condition the climate of a given locality, being the elements precipitation and air temperature determine the favorable climatic conditions for agricultural crops.…”

Section: Introductionmentioning

confidence: 99%

Climate change in MATOPIBA region of Brazil using Thornthwaite (1948) classification

Aparecido

Dutra

Lorençone³

et al. 2021

Preprint

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Identify the climatic characterization of a region and its spatial and temporal variation, as well as its changes in the face of climate change events, is essential for agrometeorological studies because they can assist in the planning of strategies that reduce the negative impacts generated in the cultures exposed to critical climatic conditions. Thus, this study aimed to characterize the climatic conditions of the MATOPIBA region and its changes in scenarios of climate change using the classification index of Thornthwaite (1948). Daily time series of rainfall and temperature data in the 1950–1990 period were used, arranged in a 0.25º × 0.25º grid, covering 467 points over the studied region. The data set was used to estimate climatological water balance and climate index Thornthwaite (1948), and obtain the trends climatological according to IPCC (2014) climate change projections, with changes in the average air temperature (+ 1.5°C and − 1.5°C) and precipitation (+ 30% and − 30%). The MATOPIBA region is characterized by its humid, dry subhumid, and Moist subhumid climate, with the rainy seasons, between October and April, and drought, from May to September, well defined. In MATOPIBA climate change scenarios, climatic extreme indices tend to alter the pattern, frequency, and distribution of climate class, which can increase climate risk and impact crop production. Therefore, the results obtained can be used to develop strategies to mitigate the vulnerability of crops to climate change conditions.

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Assessment of future climate variability and potential adaptation strategies on yield of peanut and Kharif rice in eastern India

Cited by 24 publications

References 24 publications

Modeling the potential impacts of climate change and adaptation strategies on groundnut production in India

Modeling the potential impacts of climate change and adaptation strategies on groundnut production in India

Climate risk to peanut cultivation in Brazil across different planting seasons

Climate change in MATOPIBA region of Brazil using Thornthwaite (1948) classification

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