绵羊垫层堆肥过程中固体含量的估计减少量与有机组分组成的关系

IF 2 4区 农林科学 Q3 ECOLOGY
M. A. O. Orrico Junior, A. Orrico, D. M. Manarelli, Walter Renato Teixeira Lopes, A. W. Schwingel
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引用次数: 3

摘要

摘要在堆肥堆中,残留物的不同有机物组分显著影响有机物的降解性。在此基础上,本研究旨在找出在堆肥过程中对分解率影响最大的有机物组分,并提出模型来估计绵羊垫层堆肥堆中的固体减少量。为此,对来自不同地点和不同成分的24只绵羊床上用品进行了堆肥,以确保样品的代表性。总固体(TS)和挥发性固体(VS)的减少作为可堆肥有机物(COM)和耐堆肥有机物的函数的模型并不显著。木质素与温度、TS还原和VS还原的相关系数分别为-0.6、-0.89和-0.84。半纤维素:木质素比率是与温度(0.69)、TS还原(0.91)、VS还原(0.92)和氮(0.5)最相关的参数,这导致了更显著的预测模型。可以得出的结论是,半纤维素与木质素的比例是影响绵羊垫层堆肥堆中有机物分解和氮损失最大的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimated Reduction in Solids During Sheep Bedding Composting as a Function of the Composition of the Organic Fractions
ABSTRACT The different organic matter fractions of residues significantly impact the degradability of organic material in composting windrows. Based on that, this study aimed to find out the organic matter fractions that most impact the breakdown rate during composting, besides proposing models to estimate the solids reductions in sheep bedding composting windrows. To that end, 24 sheep beddings from different locations and varied composition were composted so as to ensure the representativeness of the sample. The models found for reduction in total (TS) and volatile (VS) solids as a function of compostable organic matter (COM) and organic matter resistant to composting (OMRC) were not significant. Lignin had correlation coefficients of −0.6, −0.89, and −0.84 in relation to temperature, TS reduction, and VS reduction, respectively. The hemicellulose:lignin ratio was the parameter most correlated with temperature (0.69), TS reduction (0.91), VS reduction (0.92), and nitrogen (0.5), which led to more significant predictive models. It can be concluded that the hemicellulose:lignin ratio is the parameter that most impacts the breakdown of organic matter and nitrogen losses in sheep bedding composting windrows.
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来源期刊
Compost Science & Utilization
Compost Science & Utilization 农林科学-生态学
CiteScore
4.10
自引率
0.00%
发文量
0
审稿时长
>36 weeks
期刊介绍: 4 issues per year Compost Science & Utilization is currently abstracted/indexed in: CABI Agriculture & Environment Abstracts, CSA Biotechnology and Environmental Engineering Abstracts, EBSCOhost Abstracts, Elsevier Compendex and GEOBASE Abstracts, PubMed, ProQuest Science Abstracts, and Thomson Reuters Biological Abstracts and Science Citation Index
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