Climate change impacts vis-a-vis productivity of soybean in vertisol of Madhya Pradesh

Mohanty, M.; Sinha, Nishant K.; McDermid, Sonali P.; Chaudhary, R. S.; Reddy, K Sammi; Hati, K. M.; Somasundaram, J.; Lenka, Sangeeta; Patidar, Rohit Kumar; Prabhakar, M.; Rao, Cherukumalli Srinivasa; Patra, A. K.

doi:10.54386/jam.v19i1.749

Cited by 11 publications

(5 citation statements)

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“…Similarly, in the case of pulses, fluctuating temperature and disproportionate rainfall affected pulse productivity though the per capita income from agriculture has had a positive impact on the yield of pulses. Certain studies have forecast that the continuation of certain (climate change) scenarios can reduce crop yield by 40 to 45 percent in the future (Mohanty et al, 2017 ; Dupare et al, 2020 ). For oilseed crops, fluctuation in precipitation along with an increase in rabi (post-rainy season) temperature and an increase in CO 2 emission posed a negative impact on oilseed productivity by reducing the yield up to a certain extent while cropping intensity, fertilizer consumption, use of agricultural machinery and per capita agricultural income affected the yield of oilseeds in a positive rate.…”

Section: Resultsmentioning

confidence: 99%

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Climate change and vulnerability of agribusiness: Assessment of climate change impact on agricultural productivity

Mohapatra

Mohapatra²,

Han³

et al. 2022

Front. Psychol.

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The current study has mapped the impact of changes in different climatic parameters on the productivity of major crops cultivated in India like cereal, pulses, and oilseed crops. The vulnerability of crops to different climatic conditions like exposure, sensitivity, and adaptive indicators along with its different components and agribusiness has been studied. The study uses data collected over the past six decades from 1960 to 2020. Analytical tools such as the Tobit regression model and Principal Component Analysis were used for the investigation which has shown that among climatic parameters, an increase in temperature along with huge variations in rainfall and consistent increase in CO2 emissions have had a negative impact by reducing crop productivity, particularly cereals (26 percent) and oilseed (35 percent). Among various factors, adaptive factors such as cropping intensity, agricultural machinery, and livestock density in combination with sensitivity factors such as average operational land holding size and productivity of cereals, and exposure indicators like Kharif (June-September) temperature, heavy rainfall, and rate of change in maximum and minimum Rabi (October-February) temperature have contributed significantly in increasing crop vulnerability. The agribusiness model needs to be more inclusive. It should pay attention to small and remote farmers, and provide them with inclusive finance that can facilitate the adoption of climate-smart financial innovations, serve the underserved segments, and help them reach the target of a sustainable and inclusive agribusiness model. Though the social, technological, and economic initiatives can enhance the adaptive capacity of farmers, political measures still have a major role to play in providing a healthy climate for agriculture in India through tailored adaptive approaches like the adoption of craft climate adaptation program, dilating the irrigation coverage and location-centric management options. Hence, multidisciplinary and holistic approaches are worth emphasizing for evaluating the future impacts of change in climate on Indian agriculture.

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Section: Resultsmentioning

confidence: 99%

“…Certain studies have forecast that the continuation of certain (climate change) scenarios can reduce crop yield by 40 to 45 percent in the future (Mohanty et al, 2017;Dupare et al, 2020).…”

Section: Figurementioning

confidence: 99%

Climate change and vulnerability of agribusiness: Assessment of climate change impact on agricultural productivity

Mohapatra

Mohapatra²,

Han³

et al. 2022

Front. Psychol.

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“…Evaluation of climate change impact on maize yield under different N management strategies revealed that there was more reduction in yield under RCP 8.5 compared to RCP 4.5. Maize yields in sub-tropical climate of Central India in future could be improved by 3t ha -1 by providing optimum dates of sowing and good management practices [62].…”

Section: Biomass Production Of Pigeonpea and Maizementioning

confidence: 99%

Effect of Elevated Temperature and Carbon Dioxide on Carbon Pool Dynamics in Semi-Arid Alfisol

Reddy¹

2023

IJESNR

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Soil responses to the projected future levels of CO 2 and temperature was studied under Free Air Temperature Elevation (FATE) facility. Three levels-Ambient, elevated temperature (eT) (ambient +3 o C ±0 .5 o C) and its interaction with eCO 2 (550ppm) (eT+eCO 2 ) was studied in rainfed pigeonpea and maize. The results reveal that eT and eT+eCO 2 reduced available water capacity in soil by 23% and 29%, respectively. Also, the eT and eT+eCO 2 lowered available N, P, B and Zn in soils as compared to A C . However, there was no significant effect on soil pH, EC and CaCO 3 contents due to eT and eT+eCO 2 . Enzymes such as dehydrogenase, urease and aryl sulphatase activities were higher under eT and eT+eCO 2 over ambient control (A C ). The eT showed a negative impact on SOC, MBC, POC, labile, non-labile C and carbon management index in soils. Interestingly, this negative effect was not observed in eT+eCO 2 conditions. The eT showed a negative impact on yield parameters in both pigeon pea and maize. However, in maize, total and fodder biomass production increased with eT by 3.2% and 11.7% but grain yield reduced with eT by 10%. This study clearly states that the eT conditions can have a negative impact on soil properties including carbon pools. While eCO 2 associated with eT (eT+eCO 2 ) can compensate the negative effect of eT on soil properties.

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“…Hence, it is necessary to exploit th e tec hn olog ies fo r in -s itu mo isture conservation like tillage, land configurations, mulching etc. (Rajput et al, 2009 andMohanty et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Efficiency of Factor Productivity and Effect of Individual Input of Production on Growth, Yield and Economics of Soybean [Glycine max (L.) Merrill] Production

Somanagouda,

Channakeshava,

Verma

et al. 2024

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Background: In the face of limited resources and changing climatic conditions, a major challenge for agriculturists is to ensure food security while addressing the issue of an ever-growing population. In India, the average productivity of soybean is low as compared to world average due to lack of improved agronomic practices, less importance and mostly grown under rain-fed condition. To bridge this gap, factors of production determining the per-unit production plays a crucial role in crop production. Therefore, in order to identify/evaluate the partial factor productivity and their contribution for better crop growth and individual input use efficiency study was undertaken. Methods: The field experiments were conducted during Kharif 2020, 2021 and 2022 in Randomized Block Design with seven crop management practices. To know the efficiency of individual crop management practices on growth, yield parameters, yield, economics and output efficiency in terms of partial factor productivity and agronomy efficiency of applied nutrients. Result: Three-year results concluded that, soybean grown with full package recorded significantly higher seed yield (2277 kg ha-1) over full package excluding weed management (1889 kg ha-1) and full package excluding RDF (2023 kg ha-1). The yield gap was higher with omission of weed management (388 kg ha-1) and omission of RDF (254 kg ha-1). Further, net returns and crop out-put efficiency in terms of partial factor productivity and agronomic efficiency was higher with full package over the omission of the practice. Thus it can be concluded that, for achieving higher productivity, profitability and agronomic efficiency of applied nutrients under full package comprising all crop management practices can be adopted over the years in Northern Transition Zone of Karnataka.

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Climate change impacts vis-a-vis productivity of soybean in vertisol of Madhya Pradesh

Cited by 11 publications

References 0 publications

Climate change and vulnerability of agribusiness: Assessment of climate change impact on agricultural productivity

Climate change and vulnerability of agribusiness: Assessment of climate change impact on agricultural productivity

Effect of Elevated Temperature and Carbon Dioxide on Carbon Pool Dynamics in Semi-Arid Alfisol

Efficiency of Factor Productivity and Effect of Individual Input of Production on Growth, Yield and Economics of Soybean [Glycine max (L.) Merrill] Production

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