Multi-criteria assessment of climate smartness in rice-based cropping systems

dc.contributor.authorKumar Mohapatra, K.
dc.contributor.authorNayak, A.
dc.contributor.authorPatra, R.
dc.contributor.authorTripathi, R.
dc.contributor.authorSwain, C.
dc.contributor.authorMishraa, P.
dc.contributor.authorSatapathy, M.
dc.contributor.authorEeswaran, R.
dc.contributor.authorGarnaik, S.
dc.date.accessioned2025-01-27T03:06:20Z
dc.date.available2025-01-27T03:06:20Z
dc.date.issued2025
dc.description.abstractRice is one of the major staple food grains in the world and because of its higher water requirement, rice production is heavily threatened by climate change and extremes. As global warming and climate variabilities increasingly affect most of the rice growing regions including India, it is vital to introduce alternative options to rice-rice monocropping. To address this issue, we developed a climate smart index (CSI) to evaluate the climate smartness of different cropping systems such as, rice-sunflower (R-S), rice-maize (R-M), rice-black gram (R-BG)and rice-green gram (R-GG) compared to a conventional rice-rice (R-R) system grown in the eastern coastal belt of India. Diversifying rice-based cropping systems with legumes and sunflower significantly enhanced system productivity and the partial factor productivity of nitrogen by 33–41% and 40–45%, respectively over the rice-rice cropping system. Further, these systems reduced the global warming potential (GWP) by 46.3–51% compared tothe rice-rice system. The soil organic carbon content increased by about 5–7 % due to the adoption of pulse crops.The climate-smart index for rice-sunflower (R-S), rice-black gram (R-BG), rice-green gram (R-GG), and rice-maize(R-M) systems were found to be higher than the rice-rice (R-R) system by 26.5%, 18.7%, 18.7%, and 14.9%respectively, on average across seasons. Hence, incorporating legumes and oilseed crops during the dry/minorseasons of the year in rice-based cropping systems can be proposed as a climate-smart alternative. Further, wepropose conducting large-scale assessments of these cropping systems using spatial data to deliver decision toolsfor regional planning and policy formulation in agriculture.en_US
dc.identifier.doihttps://doi.org/10.1016/j.farsys.2024.100135en_US
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/10999
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectClimate smart agricultureen_US
dc.subjectCropping systemen_US
dc.subjectGlobal warmingen_US
dc.subjectGreenhouse gasesen_US
dc.subjectLegumesen_US
dc.titleMulti-criteria assessment of climate smartness in rice-based cropping systemsen_US
dc.typeArticleen_US

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