Correlating denitrifying catabolic genes with N2O and N2 emissions from swine slurry composting
| Autor: | Rodrigo da Silveira Nicoloso, Melissa Paola Mezzari, M. M. Higarashi, Paul Richard Momsen Miller, P. A. V. de Oliveira, G. Angnes, M. L. B. da Silva |
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| Rok vydání: | 2013 |
| Předmět: |
Denitrification
Time Factors Environmental Engineering Nitrogen Sus scrofa Nitrous Oxide Bioengineering engineering.material chemistry.chemical_compound Denitrifying bacteria Soil Nitrate Ammonia Animals Food science Nitrite Waste Management and Disposal biology Renewable Energy Sustainability and the Environment Compost Environmental engineering Temperature Functional genes Humidity General Medicine Nitrous oxide Carbon Dioxide biology.organism_classification Nitrification qPCR Greenhouse gases chemistry Genes Bacterial engineering Methane Bacteria |
| Zdroj: | Bioresource Technology. 140:368-375 |
| ISSN: | 0960-8524 |
| DOI: | 10.1016/j.biortech.2013.04.112 |
| Popis: | This work evaluated N dynamics that occurs over time within swine slurry composting piles. Real-time quantitative PCR (qPCR) analyzes were conducted to estimate concentrations of bacteria community harboring specific catabolic nitrifying-ammonium monooxygenase (amoA), and denitrifying nitrate- (narG), nitrite- (nirS and nirG), nitric oxide- (norB) and nitrous oxide reductases (nosZ) genes. NH3-N, N2O-N, N2-N emissions represented 15.4 ± 1.9%, 5.4 ± 0.9%, and 79.1 ± 2.0% of the total nitrogen losses, respectively. Among the genes tested, temporal distribution of narG, nirS, and nosZ concentration correlated significantly (p < 0.05) with the estimated N2 emissions. Denitrifying catabolic gene ratio (cnorB + qnorB)/ nosZ P 100 was indicative of N2O emission potential from the compost pile. Considering our current empirical limitations to accurately measure N2 emissions from swine slurry composting at field scale the use of these catabolic genes could represent a promising monitoring tool to aid minimize our uncertainties on biological N mass balances in these systems. 2013 Elsevier Ltd. All rights reserved. |
| Databáze: | OpenAIRE |
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