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| DOI | 10.1016/j.mex.2024.102699 |
| Mix-method toolbox for monitoring greenhouse gas production and microbiome responses to soil amendments | |
| 发表日期 | 2024 |
| EISSN | 2215-0161 |
| 起始页码 | 12 |
| 卷号 | 12 |
| 英文摘要 | In 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 (N 2 O, CH 4 , and CO 2 ), and determination of plant productivity are provided. The outcomes of the methods are detailed in our publications (Louren & ccedil;o et al., 2018a; Louren & ccedil;o et al., 2018b; Louren & ccedil;o et al., 2019; Louren & ccedil;o 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. center dot Interdisciplinary methods and scientific questions allow for exploring broader interconnected environmental problems. center dot 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. center dot Time -series data can offer detailed insights into specific ecosystems, particularly concerning soil microbiota (taxonomy and functions). |
| 英文关键词 | Next 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; Time-series analyses; Co-occurrence of fungal and bacteria; Quantitative real-time PCR (QPCR); Vinasse; Organic residues |
| 语种 | 英语 |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS类目 | Multidisciplinary Sciences |
| WOS记录号 | WOS:001230856000001 |
| 来源期刊 | METHODSX
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/303776 |
| 作者单位 | Royal Netherlands Academy of Arts & Sciences; Netherlands Institute of Ecology (NIOO-KNAW); Instituto Agronomico de Campinas (IAC); Utrecht University |
| 推荐引用方式 GB/T 7714 | . Mix-method toolbox for monitoring greenhouse gas production and microbiome responses to soil amendments[J],2024,12. |
| APA | (2024).Mix-method toolbox for monitoring greenhouse gas production and microbiome responses to soil amendments.METHODSX,12. |
| MLA | "Mix-method toolbox for monitoring greenhouse gas production and microbiome responses to soil amendments".METHODSX 12(2024). |
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