Cargando…
Multivariate Analysis of the Determinants of the End-Product Quality of Manure-Based Composts and Vermicomposts Using Bayesian Network Modelling
Previous studies indicated that the quality of tropical composts is poorer than that of composts produced in temperate regions. The aim of this study was to test the type of manure, the use of co-composting with green waste, and the stabilization method for their ability to improve compost quality i...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912064/ https://www.ncbi.nlm.nih.gov/pubmed/27314950 http://dx.doi.org/10.1371/journal.pone.0157884 |
_version_ | 1782438210368962560 |
---|---|
author | Faverial, Julie Cornet, Denis Paul, Jacky Sierra, Jorge |
author_facet | Faverial, Julie Cornet, Denis Paul, Jacky Sierra, Jorge |
author_sort | Faverial, Julie |
collection | PubMed |
description | Previous studies indicated that the quality of tropical composts is poorer than that of composts produced in temperate regions. The aim of this study was to test the type of manure, the use of co-composting with green waste, and the stabilization method for their ability to improve compost quality in the tropics. We produced 68 composts and vermicomposts that were analysed for their C, lignin and NPK contents throughout the composting process. Bayesian networks were used to assess the mechanisms controlling compost quality. The concentration effect, for C and lignin, and the initial blend quality, for NPK content, were the main factors affecting compost quality. Cattle manure composts presented the highest C and lignin contents, and poultry litter composts exhibited the highest NPK content. Co-composting improved quality by enhancing the concentration effect, which reduced the impact of C and nutrient losses. Vermicomposting did not improve compost quality; co-composting without earthworms thus appears to be a suitable stabilization method under the conditions of this study because it produced high quality composts and is easier to implement. |
format | Online Article Text |
id | pubmed-4912064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49120642016-07-06 Multivariate Analysis of the Determinants of the End-Product Quality of Manure-Based Composts and Vermicomposts Using Bayesian Network Modelling Faverial, Julie Cornet, Denis Paul, Jacky Sierra, Jorge PLoS One Research Article Previous studies indicated that the quality of tropical composts is poorer than that of composts produced in temperate regions. The aim of this study was to test the type of manure, the use of co-composting with green waste, and the stabilization method for their ability to improve compost quality in the tropics. We produced 68 composts and vermicomposts that were analysed for their C, lignin and NPK contents throughout the composting process. Bayesian networks were used to assess the mechanisms controlling compost quality. The concentration effect, for C and lignin, and the initial blend quality, for NPK content, were the main factors affecting compost quality. Cattle manure composts presented the highest C and lignin contents, and poultry litter composts exhibited the highest NPK content. Co-composting improved quality by enhancing the concentration effect, which reduced the impact of C and nutrient losses. Vermicomposting did not improve compost quality; co-composting without earthworms thus appears to be a suitable stabilization method under the conditions of this study because it produced high quality composts and is easier to implement. Public Library of Science 2016-06-17 /pmc/articles/PMC4912064/ /pubmed/27314950 http://dx.doi.org/10.1371/journal.pone.0157884 Text en © 2016 Faverial et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Faverial, Julie Cornet, Denis Paul, Jacky Sierra, Jorge Multivariate Analysis of the Determinants of the End-Product Quality of Manure-Based Composts and Vermicomposts Using Bayesian Network Modelling |
title | Multivariate Analysis of the Determinants of the End-Product Quality of Manure-Based Composts and Vermicomposts Using Bayesian Network Modelling |
title_full | Multivariate Analysis of the Determinants of the End-Product Quality of Manure-Based Composts and Vermicomposts Using Bayesian Network Modelling |
title_fullStr | Multivariate Analysis of the Determinants of the End-Product Quality of Manure-Based Composts and Vermicomposts Using Bayesian Network Modelling |
title_full_unstemmed | Multivariate Analysis of the Determinants of the End-Product Quality of Manure-Based Composts and Vermicomposts Using Bayesian Network Modelling |
title_short | Multivariate Analysis of the Determinants of the End-Product Quality of Manure-Based Composts and Vermicomposts Using Bayesian Network Modelling |
title_sort | multivariate analysis of the determinants of the end-product quality of manure-based composts and vermicomposts using bayesian network modelling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912064/ https://www.ncbi.nlm.nih.gov/pubmed/27314950 http://dx.doi.org/10.1371/journal.pone.0157884 |
work_keys_str_mv | AT faverialjulie multivariateanalysisofthedeterminantsoftheendproductqualityofmanurebasedcompostsandvermicompostsusingbayesiannetworkmodelling AT cornetdenis multivariateanalysisofthedeterminantsoftheendproductqualityofmanurebasedcompostsandvermicompostsusingbayesiannetworkmodelling AT pauljacky multivariateanalysisofthedeterminantsoftheendproductqualityofmanurebasedcompostsandvermicompostsusingbayesiannetworkmodelling AT sierrajorge multivariateanalysisofthedeterminantsoftheendproductqualityofmanurebasedcompostsandvermicompostsusingbayesiannetworkmodelling |