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Book of Extended summaries ISDA

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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &<br />

Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad<br />

Further, in paddy fields, soil microbial activities are the main factors controlling the<br />

production and uptake <strong>of</strong> CH4 (Conrad 1996). Methanotrophs are aerobic to microaerophilic<br />

bacteria, that metabolize and convert methane into carbon-di-oxide by oxidizing<br />

up to 90% <strong>of</strong> the CH4 (Krause et al., 2010; Ma et al., 2013). The root treatment <strong>of</strong><br />

methanotrophs is an effective option to mitigate the CH 4 emission (Dash et al., 2019). The<br />

addition <strong>of</strong> basic slag and methanotrophs to the rice soil could reduce the CH 4 emissions by<br />

affecting the physico-chemical and biological properties <strong>of</strong> the soil. So, in this study we<br />

have evaluated the individual as well as combined effect <strong>of</strong> the basic slag and methanotrophs<br />

on the methane emission in lowland rice to mitigate the GHGs emissions in rice by<br />

application <strong>of</strong> basic slag and methanotroph formulation.<br />

Methodology<br />

We have conducted the field trial at the experimental farm <strong>of</strong> ICAR-NRRI, Cuttack, Odisha.<br />

There were 8 treatments and 3 replications, and the experimental design was randomized<br />

block designing (RBD). The gas and soil samples were collected on critical growth stage<br />

(Panicle initiation) <strong>of</strong> rice with three replications for the estimation <strong>of</strong> GHGs emissions and<br />

soil parameters. The GHGs (CH 4, N 2O, and CO 2) fluxes from the rice ecosystems were<br />

estimated continuously at 5-7 days intervals by collecting the gas samples by using the<br />

‘manual close chamber method’ (Bhattacharyya et al., 2013, 2016). The GHGs concentrations<br />

were analyzed by using gas chromatography (Model no: Trace 1110 Gas Chromatograph; M/s<br />

Thermo). Enzymatic activities and carbon pools were estimated in the laboratory by using<br />

standard methods (Nayak et al., 2016).<br />

Treatment details: (i) RDF- recommended dose <strong>of</strong> fertilizer (RDF), 80:40:40:: N: P 2O 5:K 2O<br />

kg ha −1 ; (ii) BS- basic slag (1 t ha -1 ); (iii) BS+MTH (R)- basic slag + methanotroph (root dipbroth));<br />

(iv) BS+MTH (F)- basic slag + methanotroph (formulation as top dressed: acaciabased<br />

at 7 days after transplanting (DAT); (v) BS+MTH (R&F)- basic slag + methanotroph<br />

(root dip-broth + formulation as top dressed, at 28 DAT; (vi) MTH (R)- methanotroph (root<br />

dip-broth); (vii) MTH (F)- methanotroph (formulation as top dressed, at 7 DAT); (viii) MTH<br />

(R&F)- methanotroph (root dip-broth + formulation as top dressed, at 28 DAT).<br />

Results<br />

The soil carbon pools (microbial biomass carbon, readily mineralizable carbon and KMNO 4-<br />

C) and enzymatic activities (Dehydrogenase and fluorescein di-acetate) were highest in BS +<br />

MTH (R&F) treatments at the panicle initiation (PI) stage in lowland rice ecology. The CH4<br />

emission was lower in slag + methanotroph amendments than other treatments. In rice<br />

system, the CH4 fluxes were gradually increased after transplanting and reached at the peak at<br />

PI stage, after that gradually decreased towards harvesting period (Figure 1a). The methane<br />

emission for the treatment BS+MTH (R&F) was lower in relative to the RDF. The seasonal<br />

Climate resilient agriculture for risk mitigation<br />

263 | Page

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