Impact of Projected Climate Change on Summer Mungbean in Gujarat

Karande, B. I.; Patel, H. R.; Yadav, Saurabh; Vasani, M.J.; Patil, D.D.

doi:10.20546/ijcmas.2018.708.437

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…MOSAICC results are generally consistent with previous studies: overall, for both Maha and Yala seasons, impacts are projected to be slightly negative, and relevant predictors in the yield functions are temperatures with mostly negative coefficients. This is in line with the analysis from Karande et al (2018).…”

Section: Green Gramsupporting

confidence: 91%

Climate change impacts on crops in Sri Lanka

Amarasingha¹,

Marambe²,

Suriyagoda³

et al. 2021

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The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned.The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO.

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Section: Green Gramsupporting

confidence: 91%

Climate change impacts on crops in Sri Lanka

Amarasingha¹,

Marambe²,

Suriyagoda³

et al. 2021

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“…Yield of green gram was also estimated to decrease by 8 to 19.5% during 2040-2090 time period. About 7.5 to 21.3% declined grain yield for various treatments during 2071-2100 period was observed for Anand district of Gujarat through DSSAT4.6 (CROPGRO) model (Karande et al, 2018). The findings of our RUE based analysis are in tune with these model based analysis.…”

Section: Assessment Of Future Yield Of Green Gram From Ruesupporting

confidence: 73%

“…Crop duration was 3 to 9 and 4 to 15 days less than present the condition under RCP 4.5 and 8.5 respectively (Table 5). Karande et al (2018) also reported 8 to 15 days of advanced maturity in green gram for different crop management treatments in later part of this century. For 2040 under RCP 4.5, the reduction in biomass and crop yield was marginal, only 1.62% and 4.38% respectively.…”

Section: Assessment Of Future Yield Of Green Gram From Ruementioning

confidence: 96%

Evaluating radiation interception pattern and RUE of green gram grown in Lower Gangetic Plains and assessing future yield based on RUE

Saha¹,

Banerjee²,

Mondal³

et al. 2022

J. Agrometeorol.

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An experiment was conducted in the Lower Gangetic Plains of West Bengal during 2017 and 2018 with three popular green gram varieties of the region (viz. Samrat, PM05 and Meha). Along with studying the variation of PAR components, a radiation use efficiency (RUE) based equation irrespective of varieties was developed and used to estimate the green gram yield for 2040-2090 period under RCP 4.5 and 8.5 scenarios. Field experimental results showed that almost 33.33 to 52.12% higher yield was recorded in 2017 in comparison to 2018. As observed through pooled experimental data of two years, PM05 produced 3 to 4% higher pod and 4 to 15% more biomass than Samrat and Meha with the highest radiation use efficiency (1.786 g MJ-1). Results also depicted that enhanced thermal condition would cause 9 to 15 days of advancement in maturity. Biomass and yield would also decrease gradually from 2040 to 2090 with an average rate of 7.60-11.70% and 10.19-14.17% respectively. The supporting literature confirms that future yield prediction under projected climate based on “radiation to biomass” conversion efficiency can be used successfully as a method to evaluate climate change impact on crop performance.

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“…The result showed that a rise in temperature by 1-2℃ had a negative impact on seed yield (declined by -3.56 %). The sensitivity of CROPGRO model showed that the grain yield reduction due to impact of climate change ranged 7.5 per cent to 21.3 per cent at different treatment [4]. The regression of pigeon pea yield on weather variables show that increase in maximum temperature is harmful for the crop whereas the minimum temperature and rainfall show a positive effect [5].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Projected Climate Change Impact on Green Gram Productivity through DSSAT Model under South Gujarat Environmental Condition

Virani

Kumar

Mote

et al. 2022

IJECC

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An investigation on climate change impact on green gram was conducted at Agronomy farm, NAU, Navsari, Gujarat during the rabi seasons of 2021-22. The calibrated and validated DSSAT CROPGRO simulation model was used to determine the productivity of green grams under various climate change scenarios. In this experiment, the effects of CO2 concentration, solar radiation and maximum and minimum temperatures on green gram productivity were examined individually and in combination. According to the sensitivity of the DSSAT CROPGRO model, under the conditions of projected climate change, the best case scenario for its favourable impact on green gram yield was a rise in CO2 concentration (600 ppm), along with solar radiation up to a certain level (1 unit), which may nullified the adverse effect of increases in temperature on green gram productivity.

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Impact of Projected Climate Change on Summer Mungbean in Gujarat

Cited by 6 publications

References 5 publications

Climate change impacts on crops in Sri Lanka

Climate change impacts on crops in Sri Lanka

Evaluating radiation interception pattern and RUE of green gram grown in Lower Gangetic Plains and assessing future yield based on RUE

Assessment of Projected Climate Change Impact on Green Gram Productivity through DSSAT Model under South Gujarat Environmental Condition

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