Mix-method toolbox for monitoring greenhouse gas production and microbiome responses to soil amendments

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dc.citation.journaltitleMETHODSX
dc.creatorLOURENÇO, K. S.
dc.creatorSULEIMAN, A. K. A.
dc.creatorPIJL, A.
dc.creatorDIMITROV, M. R.
dc.creatorCANTARELLA, H.
dc.creatorKURAMAE, E. E.
dc.date.accessioned2026-05-05T17:57:18Z
dc.date.issued2024
dc.description.resumoIn this study, we adopt an interdisciplinary approach, integrating agronomic field experiments with soil chemistry, molecular biology techniques, and statistics to investigate the impact of organic residue amendments, such as vinasse (a by-product of sugarcane ethanol production), on soil microbiome and greenhouse gas (GHG) production. The research investigates the effects of distinct disturbances, including organic residue application alone or combined with inorganic N fertilizer on the environment. The methods assess soil microbiome dynamics (composition and function), GHG emissions, and plant productivity. Detailed steps for field experimental setup, soil sampling, soil chemical analyses, determination of bacterial and fungal community diversity, quantification of genes related to nitrification and denitrification pathways, measurement and analysis of gas fluxes (N2O, CH4, and CO2), and determination of plant productivity are provided. The outcomes of the methods are detailed in our publications (Lourenço et al., 2018a; Lourenço et al., 2018b; Lourenço et al., 2019; Lourenço et al., 2020). Additionally, the statistical methods and scripts used for analyzing large datasets are outlined. The aim is to assist researchers by addressing common challenges in large-scale field experiments, offering practical recommendations to avoid common pitfalls, and proposing potential analyses, thereby encouraging collaboration among diverse research groups. • Interdisciplinary methods and scientific questions allow for exploring broader interconnected environmental problems. • The proposed method can serve as a model and protocol for evaluating the impact of soil amendments on soil microbiome, GHG emissions, and plant productivity, promoting more sustainable management practices. • Time-series data can offer detailed insights into specific ecosystems, particularly concerning soil microbiota (taxonomy and functions).
dc.format.extent102699
dc.format.issue12
dc.identifier.citationKésia Silva Lourenço, Afnan Khalil Ahmad Suleiman, Agata Pijl, Mauricio R. Dimitrov, Heitor Cantarella, Eiko Eurya Kuramae, Mix-method toolbox for monitoring greenhouse gas production and microbiome responses to soil amendments, MethodsX, Volume 12, 2024, 102699, ISSN 2215-0161, https://doi.org/10.1016/j.mex.2024.102699.
dc.identifier.doihttp://dx.doi.org/10.1016/j.mex.2024.102699
dc.identifier.urihttps://repositorio.iac.sp.gov.br/handle/iac/152
dc.subjectNext generation sequencing (NGS), Gas measurement, Sustainability, Climate change, Global warming, Nitrous oxide, Methane, Carbon dioxide, Fungal community, Bacterial community, Dynamics of soil microbiome, Soil disturbances, Resistance and resilience, me-series analyses Co-occurrence of fungal and bacteria, Quantitative real-time PCR (QPCR), Vinasse, Organic residues
dc.titleMix-method toolbox for monitoring greenhouse gas production and microbiome responses to soil amendments

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