Prediction of the nutrients value and biochemical characteristics of swine slurry by measurement of EC – Electrical conductivity
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...
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| creator | Suresh, A. Choi, H.L. Oh, D.I. Moon, O.K. |
| description | 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. |
| doi_str_mv | 10.1016/j.biortech.2009.05.006 |
| format | Article |
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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.</description><identifier>ISSN: 0960-8524</identifier><identifier>EISSN: 1873-2976</identifier><identifier>DOI: 10.1016/j.biortech.2009.05.006</identifier><identifier>PMID: 19482470</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Agronomy. Soil science and plant productions ; Animal productions ; Animals ; Bacteria ; Biological and medical sciences ; chemical oxygen demand ; Electric Conductivity ; Electrical conductivity ; Escherichia coli ; Fundamental and applied biological sciences. Psychology ; General agronomy. Plant production ; Hydrogen-Ion Concentration ; microbial activity ; Nutrients ; physicochemical properties ; pig manure ; plant nutrition ; Salmonella ; Sewage - analysis ; Sewage - microbiology ; soil amendments ; soil nutrients ; Specific Gravity ; Swine - physiology ; Swine slurry ; Terrestrial animal productions ; Total solids ; Use of agricultural and forest wastes. Biomass use, bioconversion ; Vertebrates</subject><ispartof>Bioresource technology, 2009-10, Vol.100 (20), p.4683-4689</ispartof><rights>2009 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-3b4d396dd0ce2c95c2647ecdfa33f0b82a66d6651e88f597c0d426ca1c0852b3</citedby><cites>FETCH-LOGICAL-c451t-3b4d396dd0ce2c95c2647ecdfa33f0b82a66d6651e88f597c0d426ca1c0852b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.biortech.2009.05.006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21754477$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19482470$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Suresh, A.</creatorcontrib><creatorcontrib>Choi, H.L.</creatorcontrib><creatorcontrib>Oh, D.I.</creatorcontrib><creatorcontrib>Moon, O.K.</creatorcontrib><title>Prediction of the nutrients value and biochemical characteristics of swine slurry by measurement of EC – Electrical conductivity</title><title>Bioresource technology</title><addtitle>Bioresour Technol</addtitle><description>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.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Animal productions</subject><subject>Animals</subject><subject>Bacteria</subject><subject>Biological and medical sciences</subject><subject>chemical oxygen demand</subject><subject>Electric Conductivity</subject><subject>Electrical conductivity</subject><subject>Escherichia coli</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General agronomy. Plant production</subject><subject>Hydrogen-Ion Concentration</subject><subject>microbial activity</subject><subject>Nutrients</subject><subject>physicochemical properties</subject><subject>pig manure</subject><subject>plant nutrition</subject><subject>Salmonella</subject><subject>Sewage - analysis</subject><subject>Sewage - microbiology</subject><subject>soil amendments</subject><subject>soil nutrients</subject><subject>Specific Gravity</subject><subject>Swine - physiology</subject><subject>Swine slurry</subject><subject>Terrestrial animal productions</subject><subject>Total solids</subject><subject>Use of agricultural and forest wastes. Biomass use, bioconversion</subject><subject>Vertebrates</subject><issn>0960-8524</issn><issn>1873-2976</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc-O0zAQhyMEYsvCKyy-wC1h7NhOcgNVZUFaCSSWs-WMJ9RV_ix2UtQb4hV4w30SXFrgyMkHf_P7jb7JsisOBQeuX-2K1k9hJtwWAqApQBUA-kG24nVV5qKp9MNsBY2GvFZCXmRPYtwBQMkr8Ti74I2shaxglf34GMh5nP00sqlj85bYuMzB0zhHtrf9QsyOjqUy3NLg0fYMtzZYnCn4OHuMx7H4zY_EYr-EcGDtgQ1k4xJoSCnH782a3X__yTY9YYr-nTGNbkmtez8fnmaPOttHenZ-L7Pbt5vb9bv85sP1-_Wbmxyl4nNettKVjXYOkAQ2CoWWFaHrbFl20NbCau20VpzqulNNheCk0Gg5QlLQlpfZy1PsXZi-LhRnM_iI1Pd2pGmJRkClpOBVAvUJxDDFGKgzd8EPNhwMB3OUb3bmj3xzlG9AmSQ_DV6dG5Z2IPdv7Gw7AS_OgI3JQhfsiD7-5VK5krI6bvD8xHV2MvZLEm0-fxLAy1SuQOgyEa9PBCVhe0_BREw3w3TLkCQbN_n_bfsLsEWzCA</recordid><startdate>20091001</startdate><enddate>20091001</enddate><creator>Suresh, A.</creator><creator>Choi, H.L.</creator><creator>Oh, D.I.</creator><creator>Moon, O.K.</creator><general>Elsevier Ltd</general><general>[New York, NY]: Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QO</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>20091001</creationdate><title>Prediction of the nutrients value and biochemical characteristics of swine slurry by measurement of EC – Electrical conductivity</title><author>Suresh, A. ; Choi, H.L. ; Oh, D.I. ; Moon, O.K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-3b4d396dd0ce2c95c2647ecdfa33f0b82a66d6651e88f597c0d426ca1c0852b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Animal productions</topic><topic>Animals</topic><topic>Bacteria</topic><topic>Biological and medical sciences</topic><topic>chemical oxygen demand</topic><topic>Electric Conductivity</topic><topic>Electrical conductivity</topic><topic>Escherichia coli</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General agronomy. Plant production</topic><topic>Hydrogen-Ion Concentration</topic><topic>microbial activity</topic><topic>Nutrients</topic><topic>physicochemical properties</topic><topic>pig manure</topic><topic>plant nutrition</topic><topic>Salmonella</topic><topic>Sewage - analysis</topic><topic>Sewage - microbiology</topic><topic>soil amendments</topic><topic>soil nutrients</topic><topic>Specific Gravity</topic><topic>Swine - physiology</topic><topic>Swine slurry</topic><topic>Terrestrial animal productions</topic><topic>Total solids</topic><topic>Use of agricultural and forest wastes. Biomass use, bioconversion</topic><topic>Vertebrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suresh, A.</creatorcontrib><creatorcontrib>Choi, H.L.</creatorcontrib><creatorcontrib>Oh, D.I.</creatorcontrib><creatorcontrib>Moon, O.K.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Bioresource technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Suresh, A.</au><au>Choi, H.L.</au><au>Oh, D.I.</au><au>Moon, O.K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of the nutrients value and biochemical characteristics of swine slurry by measurement of EC – Electrical conductivity</atitle><jtitle>Bioresource technology</jtitle><addtitle>Bioresour Technol</addtitle><date>2009-10-01</date><risdate>2009</risdate><volume>100</volume><issue>20</issue><spage>4683</spage><epage>4689</epage><pages>4683-4689</pages><issn>0960-8524</issn><eissn>1873-2976</eissn><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.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>19482470</pmid><doi>10.1016/j.biortech.2009.05.006</doi><tpages>7</tpages></addata></record> |
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| subjects | Agronomy. Soil science and plant productions Animal productions Animals Bacteria Biological and medical sciences chemical oxygen demand Electric Conductivity Electrical conductivity Escherichia coli Fundamental and applied biological sciences. Psychology General agronomy. Plant production Hydrogen-Ion Concentration microbial activity Nutrients physicochemical properties pig manure plant nutrition Salmonella Sewage - analysis Sewage - microbiology soil amendments soil nutrients Specific Gravity Swine - physiology Swine slurry Terrestrial animal productions Total solids Use of agricultural and forest wastes. Biomass use, bioconversion Vertebrates |
| title | Prediction of the nutrients value and biochemical characteristics of swine slurry by measurement of EC – Electrical conductivity |
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