Literature DB >> 19482470

Prediction of the nutrients value and biochemical characteristics of swine slurry by measurement of EC--electrical conductivity.

A Suresh1, H L Choi, D I Oh, O K Moon.   

Abstract

Slurry samples, collected from 41 commercial swine farms in South Korea, were characterized in various physico-biochemical, macro and micronutrients, heavy metals and microbial parameters. Interestingly, significant variations were observed in all the parameters. However, positive relationships were noticed between EC and ammonia nitrogen (NH(3)-N), total nitrogen (TN), total potassium (TK), specific gravity (SG), total solids (TS), volatile solids (VS), fixed solids (FS), total dissolved solids (TDS) at R(2)=0.91, 0.74, 0.69, 0.60, 0.50, 0.48, 0.55, and 0.52, respectively. Whereas phosphorous and other nutrients shown poor correlation. Escherichia coli and Salmonella were counted at an average of 5.04 log(10) colony forming unit (CFU)/mL and 3.55 log(10) most probable number (MPN)/mL, respectively. Equations for predicting nutrients content in swine slurries are presented with EC, because it is an easily determinable parameter. The data obtained in this study could be used as a guideline for Good Management Practices in South Korean swine farms as well as other countries.

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Year:  2009        PMID: 19482470     DOI: 10.1016/j.biortech.2009.05.006

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

1.  Evaluating the Feasibility of a Low-Field Nuclear Magnetic Resonance (NMR) Sensor for Manure Nutrient Prediction.

Authors:  Xiaoyu Feng; Rebecca A Larson; Matthew F Digman
Journal:  Sensors (Basel)       Date:  2022-03-22       Impact factor: 3.576

2.  Seven years of pig slurry fertilization: impacts on soil chemical properties and the element content of winter barley plants.

Authors:  Awais Shakoor; Àngela D Bosch-Serra; José Ramón Olarieta Alberdi; Carmen Herrero
Journal:  Environ Sci Pollut Res Int       Date:  2022-05-31       Impact factor: 5.190

  2 in total

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