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http://krishi.icar.gov.in/jspui/handle/123456789/69768
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sandeep K. Malyan | en_US |
dc.contributor.author | Arti Bhatia | en_US |
dc.contributor.author | Ritu Tomer | en_US |
dc.contributor.author | Ramesh Chand Harit | en_US |
dc.contributor.author | Niveta Jain | en_US |
dc.contributor.author | Arpan Bhowmik | en_US |
dc.contributor.author | Rajeev Kaushik | en_US |
dc.date.accessioned | 2022-02-11T06:57:56Z | - |
dc.date.available | 2022-02-11T06:57:56Z | - |
dc.date.issued | 2021-05-13 | - |
dc.identifier.citation | Malyan, S. K., Bhatia, A., Tomer, R., Harit, R. C., Jain, N., Bhowmik, Arpan and Kaushik, R. (2021). Mitigation of yield-scaled greenhouse gas emissions from rice through biological interventions. Environmental Science and Pollution Research. DOI: 10.1007/s11356-021-14210-z. | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/69768 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Irrigated transplanted flooded rice is a major source of methane (CH4) emission. We carried out experiments for 2 years in irrigated flooded rice to study if interventions like methane-utilizing bacteria, Blue-green algae (BGA), and Azolla could mitigate the emission of CH4 and nitrous oxide (N2O) and lower the yield-scaled global warming potential (GWP). The experiment included nine treatments: T1 (120 kg N ha−1 urea), T2 (90 kg N ha−1 urea + 30 kg N ha−1 fresh Azolla), T3 (90 kg N ha−1 urea + 30 kg N ha−1 Blue-green algae (BGA)), T4 (60 kg N ha−1 urea + 30 kg N ha−1 BGA + 30 kg N ha−1 Azolla), T5 (120 kg N ha−1 urea + Hyphomicrobium facile MaAL69), T6 (120 kg N ha−1 by urea + Burkholderia vietnamiensis AAAr40), T7 (120 kg N ha−1 by urea + Methylobacteruim oryzae MNL7), T8 (120 kg N ha−1 urea + combination of Burkholderia AAAr40, Hyphomicrobium facile MaAL69, Methylobacteruim oryzae MNL7), and T9 (no N fertilizer). Maximum decrease in cumulative CH4 emission was observed with the application of Methylobacteruim oryzae MNL7 in T7 (19.9%), followed by Azolla + BGA in T4 (13.2%) as compared to T1 control. N2O emissions were not significantly affected by the application of CH4-oxidizing bacteria. However, significantly lower (P<0.01) cumulative N2O emissions was observed in T4 (40.7%) among the fertilized treatments. Highest yields were observed in Azolla treatment T2 with 25% less urea N application. The reduction in yield-scaled GWP was at par in T4 (Azolla and BGA) and T7 (Methylobacteruim oryzae MNL7) treatments and reduced by 27.4% and 15.2% in T4 and T7, respectively, as compared to the T1 (control). K-means clustering analysis showed that the application of Methylobacteruim oryzae MNL7, Azolla, and Azolla + BGA can be an effective mitigation option to reduce the global warming potential while increasing the yield. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Environmental Science and Pollution Research | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Rice | en_US |
dc.subject | Plant growth promoting bacteria | en_US |
dc.subject | Yield scaled GWP emission | en_US |
dc.subject | Methane | en_US |
dc.subject | Nitrous oxide | en_US |
dc.subject | Mitigation | en_US |
dc.title | Mitigation of yield-scaled greenhouse gas emissions from rice through biological interventions | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Environmental Science and Pollution Research | en_US |
dc.publication.volumeno | 28 | en_US |
dc.publication.pagenumber | 51425–51439 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://doi.org/10.1007/s11356-021-14210-z | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Peer reviwed | en_US |
dc.publication.naasrating | 10.22 | en_US |
dc.publication.impactfactor | 4.223 | en_US |
Appears in Collections: | AEdu-IASRI-Publication |
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