Key Laboratory of Plant Nutrition and the Agri-Environment in Northwest, Ministry of Agriculture, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, PR China; School of Environment, Henan Normal University, Key Laboratory for Yellow River and Huai River Water Environmental and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, Xinxiang, Henan 453007, PR China.
Key Laboratory of Plant Nutrition and the Agri-Environment in Northwest, Ministry of Agriculture, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, PR China; College of Environmental Science and Engineering, Nankai University, Tianjin 300071, PR China.
J Environ Manage. 2018 Jan 15;206:532-539. doi: 10.1016/j.jenvman.2017.10.067. Epub 2017 Nov 8.
The dynamic of microbial community plays vital role during composting. We therefore conducted a combined study on the maturity of compost (by pig manure composting with covering matured compost) and the successions of microbial communities (via phospholipid fatty acid (PLFA)). Our results showed that pH, electrical conductivity (EC), NH-N, and germination index (GI) were suitable indicators for compost maturity evalument. In addition, there was a closer correlation between maturity indexes (NH-N and GI) and the microbial compositions (as evaluated by microbial PLFA). The regression predicting model for NH-N used bacteria PLFA 15:0 and fungi PLFA 18:1ω9t (R = 0.98, P < 0.01) and for GI used fungi PLFA 18:1ω9t and 18:1ω9, 12 (R = 0.94, P < 0.01) as the evidences of good predictive ability. It also indicated that PLFA 18:1ω9t has a good relationship with the changes of NH-N and GI during the composting. Our results revealed the potential of using microbial PLFA for evaluating the maturity during pig manure composting.
微生物群落的动态在堆肥过程中起着至关重要的作用。因此,我们进行了一项结合研究,研究了堆肥的成熟度(通过覆盖成熟堆肥的猪粪堆肥)和微生物群落的演替(通过磷脂脂肪酸(PLFA))。我们的结果表明,pH 值、电导率(EC)、NH-N 和发芽指数(GI)是评估堆肥成熟度的合适指标。此外,成熟度指标(NH-N 和 GI)与微生物组成(通过微生物 PLFA 评估)之间存在更密切的相关性。用于预测 NH-N 的回归预测模型使用细菌 PLFA 15:0 和真菌 PLFA 18:1ω9t(R = 0.98,P < 0.01),用于 GI 的模型使用真菌 PLFA 18:1ω9t 和 18:1ω9,12(R = 0.94,P < 0.01),这表明具有良好的预测能力。这也表明 PLFA 18:1ω9t 与堆肥过程中 NH-N 和 GI 的变化有很好的关系。我们的结果揭示了在猪粪堆肥过程中使用微生物 PLFA 评估成熟度的潜力。