Mitigating Methane Emission from the Rice Ecosystem through Organic Amendments

Author:

Senthilraja Kandasamy1ORCID,Venkatesan Subramanian2ORCID,Udhaya Nandhini Dhandayuthapani3ORCID,Dhasarathan Manickam4,Prabha Balasubramaniam5ORCID,Boomiraj Kovilpillai4ORCID,Mohan Kumar Shanmugam4ORCID,Bhuvaneswari Kulanthaivel4ORCID,Raveendran Muthurajan2ORCID,Geethalakshmi Vellingiri4ORCID

Affiliation:

1. Directorate of Crop Management, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India

2. Directorate of Research, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India

3. Centre of Excellence in Sustaining Soil Health, Anbil Dharmalingam Agricultural College & Research Institute, Trichy 620027, Tamil Nadu, India

4. Agro-Climatic Research Centre, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India

5. Department of Renewable Energy Engineering, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India

Abstract

Tamil Nadu in particular is a key rice-producing region in peninsular India. Hydrochemistry, viz., redox potential (Rh), soil temperature and dissolved oxygen (DO), of rice soils can determine the production of greenhouse gas methane (CH4). In recent decades, the cultivation of crops organically became a viable option for mitigating climate change. Hence, this study aimed to investigate the effects of different organic amendments on CH4 emission, Rh, DO, and soil and water temperature (T) in relation to the yield of paddy. The treatments composed of viz., control, blue-green algae (BGA), Azolla, farm yard manure (FYM), green leaf manure (GLM), blue-green algae + Azolla, FYM + GLM, BGA + Azolla + FYM + GLM, vermicompost and decomposed livestock manure. With the addition of BGA + Azolla, the highest reduction in CH4 emission was 37.9% over the control followed by BGA. However, the same treatment had a 50% and 43% increase in Rh and DO, respectively, over the control. Established Pearson correlation analyses showed that the CH4 emission had a positive correlation with soil (r = 0.880 **) and water T (r = 0.888 **) and negative correlations with Rh (r = −0.987 **) and DO (r = −0.963 **). The higher grain yield of 26.5% was associated with BGA + Azolla + FYM + GLM application. Our findings showed that there are significant differences in CH4 emissions between different organic amendments and that hydro-parameters may be a more important controlling factor for methane emissions than temperature. The conclusion has been drawn based on valid research findings that bio-fertilization using BGA and Azolla is an efficient and feasible approach to combat climate change, as it assists in reducing methane emissions while simultaneously boosting crop yield by fixing nitrogen into the soil in the studied agro-climatic zone.

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Reference60 articles.

1. Identification of rice diseases using deep convolutional neural networks;Lu;Neurocomputing,2017

2. The genetic basis and nutritional benefits of pigmented rice grain;Mbanjo;Front. Genet.,2020

3. SRD (2020). Area of Cultivation of Rice in India (2013–2018).

4. IPCC (2019). Special Report on Climate Change Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems: Summary for Policymakers, IPCC.

5. FAO (2017). FAOSTATS—Agricultural Emissions, FAO.

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