DSpace Repository

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

Show simple item record

dc.contributor.author Kumar Mohapatra, K.
dc.contributor.author Nayak, A.
dc.contributor.author Patra, R.
dc.contributor.author Tripathi, R.
dc.contributor.author Swain, C.
dc.contributor.author Mishraa, P.
dc.contributor.author Satapathy, M.
dc.contributor.author Eeswaran, R.
dc.contributor.author Garnaik, S.
dc.date.accessioned 2025-01-27T03:06:20Z
dc.date.available 2025-01-27T03:06:20Z
dc.date.issued 2025
dc.identifier.uri http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/10999
dc.description.abstract Rice 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.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Climate smart agriculture en_US
dc.subject Cropping system en_US
dc.subject Global warming en_US
dc.subject Greenhouse gases en_US
dc.subject Legumes en_US
dc.title Multi-criteria assessment of climate smartness in rice-based cropping systems en_US
dc.type Article en_US
dc.identifier.doi https://doi.org/10.1016/j.farsys.2024.100135 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record