Application of Reflectance Near Infrared Spectroscopy for Animal Slurry Analyses
The feasibility of using near infrared spectroscopy (NIRS) for rapid prediction of the composition of cattle and pig slurries was investigated. Samples with a total solids content from
Gespeichert in:
| Veröffentlicht in: | Soil Science Society of America journal 2007-07, Vol.71 (4), p.1398-1405 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1405 |
|---|---|
| container_issue | 4 |
| container_start_page | 1398 |
| container_title | Soil Science Society of America journal |
| container_volume | 71 |
| creator | Sorensen, L.K Sorensen, P Birkmose, T.S |
| description | The feasibility of using near infrared spectroscopy (NIRS) for rapid prediction of the composition of cattle and pig slurries was investigated. Samples with a total solids content from |
| doi_str_mv | 10.2136/sssaj2006.330 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_743378915</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1392816711</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4670-71b82b187e193597ea7c9ba58f1ef6dd0d4fdf440efc5b8341bce6ff8a5da8533</originalsourceid><addsrcrecordid>eNp9kc1r3DAQxUVpoNukx55rAm1OTkbWNz0toU1SQlLq5ixkWQpeFMuRdgn-76vFIYEechkxw2_eoPcQ-ozhtMGEn-WczaYB4KeEwDu0wpSwGjjH79EKCMc1U4p9QB9z3gBgpgBW6Pd6msJgzXaIYxV99cf54OzWjNZVN86k6mr0ySTXV-1U5ilmG6e58jFV63F4MKFqwy6luXQmzNnlI3TgTcju0_N7iO5-_vh7fllf315cna-va0u5gFrgTjYdlsJhRZgSzgirOsOkx87zvoee-t5TCs5b1klCcWcd914a1hvJCDlEJ4vulOLjzuWtfhiydSGY0cVd1oISIqTCrJDf3iSLM0xRuQeP_wM3cZfKv7JuMAdBJZYFqhfIFi9ycl5PqfiQZo1B72PQLzHoEkPhvz6LmmxNKGaOdsivS1I1SgpVuO8L9zQEN78tqtv1r6Zt97VMlitflm1vojb3qVy4axvABKCYoERD_gHGVaPV</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>216074818</pqid></control><display><type>article</type><title>Application of Reflectance Near Infrared Spectroscopy for Animal Slurry Analyses</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Sorensen, L.K ; Sorensen, P ; Birkmose, T.S</creator><creatorcontrib>Sorensen, L.K ; Sorensen, P ; Birkmose, T.S</creatorcontrib><description>The feasibility of using near infrared spectroscopy (NIRS) for rapid prediction of the composition of cattle and pig slurries was investigated. Samples with a total solids content from <1 to 15% were collected during a 3-yr period and used for calibration and validation. Test samples were sealed in plastic bags and measured in a sample cell moved vertically during measurements. Reflectance data in the range 1200 to 2400 nm were used for calibration based on partial least square regression. Dry matter (DM), N, NH4-N, and P could be determined with r2 values of 0.97, 0.94, 0.92, and 0.87, respectively. The ratios between analyte variation range standard deviation and the root mean square error of prediction (RMSEP) obtained on a calibration independent test set were 6.2 (DM), 4.3 (N), 3.8 (NH4-N), and 3.6 (P). Total C and plant-available N (PAN) could be determined by near infrared spectroscopy with r2 values of 0.94 and 0.89, but the same correlation was obtained by calculation from DM and NH4-N results, respectively. The applicability of NIRS for K, Mg, Ca, Na, S, Cu, and Zn analysis was also investigated. The r2 values were in the range 0.41 to 0.82, with the poorest results for Na, Zn, and K. The corresponding SD/RMSEP ratios were in the range 1.2 to 3.5. We concluded that the applied NIRS methodology is suitable for rapid routine analysis of DM, C, N, NH4-N, P, and PAN in both cattle and pig slurries.</description><identifier>ISSN: 0361-5995</identifier><identifier>EISSN: 1435-0661</identifier><identifier>DOI: 10.2136/sssaj2006.330</identifier><identifier>CODEN: SSSJD4</identifier><language>eng</language><publisher>Madison: Soil Science Society</publisher><subject>Accuracy ; Agriculture ; Agronomy. Soil science and plant productions ; ammonium nitrogen ; animal manures ; Animal wastes ; Biological and medical sciences ; Calibration ; Cattle ; chemical analysis ; Chemicals ; Dry matter ; Earth sciences ; Earth, ocean, space ; equations ; Exact sciences and technology ; Food products ; Fundamental and applied biological sciences. Psychology ; Infrared spectroscopy ; least squares ; Methods ; near-infrared spectroscopy ; nitrogen ; nutrients ; phosphorus ; Pig manure ; prediction ; Reflectance ; Sampling techniques ; Slurries ; Soil science ; Soils ; spectral analysis ; statistical analysis ; Surficial geology</subject><ispartof>Soil Science Society of America journal, 2007-07, Vol.71 (4), p.1398-1405</ispartof><rights>Soil Science Society of America</rights><rights>2008 INIST-CNRS</rights><rights>Copyright American Society of Agronomy Jul/Aug 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4670-71b82b187e193597ea7c9ba58f1ef6dd0d4fdf440efc5b8341bce6ff8a5da8533</citedby><cites>FETCH-LOGICAL-c4670-71b82b187e193597ea7c9ba58f1ef6dd0d4fdf440efc5b8341bce6ff8a5da8533</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.2136%2Fsssaj2006.330$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.2136%2Fsssaj2006.330$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18929879$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Sorensen, L.K</creatorcontrib><creatorcontrib>Sorensen, P</creatorcontrib><creatorcontrib>Birkmose, T.S</creatorcontrib><title>Application of Reflectance Near Infrared Spectroscopy for Animal Slurry Analyses</title><title>Soil Science Society of America journal</title><description>The feasibility of using near infrared spectroscopy (NIRS) for rapid prediction of the composition of cattle and pig slurries was investigated. Samples with a total solids content from <1 to 15% were collected during a 3-yr period and used for calibration and validation. Test samples were sealed in plastic bags and measured in a sample cell moved vertically during measurements. Reflectance data in the range 1200 to 2400 nm were used for calibration based on partial least square regression. Dry matter (DM), N, NH4-N, and P could be determined with r2 values of 0.97, 0.94, 0.92, and 0.87, respectively. The ratios between analyte variation range standard deviation and the root mean square error of prediction (RMSEP) obtained on a calibration independent test set were 6.2 (DM), 4.3 (N), 3.8 (NH4-N), and 3.6 (P). Total C and plant-available N (PAN) could be determined by near infrared spectroscopy with r2 values of 0.94 and 0.89, but the same correlation was obtained by calculation from DM and NH4-N results, respectively. The applicability of NIRS for K, Mg, Ca, Na, S, Cu, and Zn analysis was also investigated. The r2 values were in the range 0.41 to 0.82, with the poorest results for Na, Zn, and K. The corresponding SD/RMSEP ratios were in the range 1.2 to 3.5. We concluded that the applied NIRS methodology is suitable for rapid routine analysis of DM, C, N, NH4-N, P, and PAN in both cattle and pig slurries.</description><subject>Accuracy</subject><subject>Agriculture</subject><subject>Agronomy. Soil science and plant productions</subject><subject>ammonium nitrogen</subject><subject>animal manures</subject><subject>Animal wastes</subject><subject>Biological and medical sciences</subject><subject>Calibration</subject><subject>Cattle</subject><subject>chemical analysis</subject><subject>Chemicals</subject><subject>Dry matter</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>equations</subject><subject>Exact sciences and technology</subject><subject>Food products</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Infrared spectroscopy</subject><subject>least squares</subject><subject>Methods</subject><subject>near-infrared spectroscopy</subject><subject>nitrogen</subject><subject>nutrients</subject><subject>phosphorus</subject><subject>Pig manure</subject><subject>prediction</subject><subject>Reflectance</subject><subject>Sampling techniques</subject><subject>Slurries</subject><subject>Soil science</subject><subject>Soils</subject><subject>spectral analysis</subject><subject>statistical analysis</subject><subject>Surficial geology</subject><issn>0361-5995</issn><issn>1435-0661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kc1r3DAQxUVpoNukx55rAm1OTkbWNz0toU1SQlLq5ixkWQpeFMuRdgn-76vFIYEechkxw2_eoPcQ-ozhtMGEn-WczaYB4KeEwDu0wpSwGjjH79EKCMc1U4p9QB9z3gBgpgBW6Pd6msJgzXaIYxV99cf54OzWjNZVN86k6mr0ySTXV-1U5ilmG6e58jFV63F4MKFqwy6luXQmzNnlI3TgTcju0_N7iO5-_vh7fllf315cna-va0u5gFrgTjYdlsJhRZgSzgirOsOkx87zvoee-t5TCs5b1klCcWcd914a1hvJCDlEJ4vulOLjzuWtfhiydSGY0cVd1oISIqTCrJDf3iSLM0xRuQeP_wM3cZfKv7JuMAdBJZYFqhfIFi9ycl5PqfiQZo1B72PQLzHoEkPhvz6LmmxNKGaOdsivS1I1SgpVuO8L9zQEN78tqtv1r6Zt97VMlitflm1vojb3qVy4axvABKCYoERD_gHGVaPV</recordid><startdate>200707</startdate><enddate>200707</enddate><creator>Sorensen, L.K</creator><creator>Sorensen, P</creator><creator>Birkmose, T.S</creator><general>Soil Science Society</general><general>Soil Science Society of America</general><general>American Society of Agronomy</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7T7</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>S0X</scope><scope>SOI</scope><scope>KR7</scope></search><sort><creationdate>200707</creationdate><title>Application of Reflectance Near Infrared Spectroscopy for Animal Slurry Analyses</title><author>Sorensen, L.K ; Sorensen, P ; Birkmose, T.S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4670-71b82b187e193597ea7c9ba58f1ef6dd0d4fdf440efc5b8341bce6ff8a5da8533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Accuracy</topic><topic>Agriculture</topic><topic>Agronomy. Soil science and plant productions</topic><topic>ammonium nitrogen</topic><topic>animal manures</topic><topic>Animal wastes</topic><topic>Biological and medical sciences</topic><topic>Calibration</topic><topic>Cattle</topic><topic>chemical analysis</topic><topic>Chemicals</topic><topic>Dry matter</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>equations</topic><topic>Exact sciences and technology</topic><topic>Food products</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Infrared spectroscopy</topic><topic>least squares</topic><topic>Methods</topic><topic>near-infrared spectroscopy</topic><topic>nitrogen</topic><topic>nutrients</topic><topic>phosphorus</topic><topic>Pig manure</topic><topic>prediction</topic><topic>Reflectance</topic><topic>Sampling techniques</topic><topic>Slurries</topic><topic>Soil science</topic><topic>Soils</topic><topic>spectral analysis</topic><topic>statistical analysis</topic><topic>Surficial geology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sorensen, L.K</creatorcontrib><creatorcontrib>Sorensen, P</creatorcontrib><creatorcontrib>Birkmose, T.S</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><collection>Civil Engineering Abstracts</collection><jtitle>Soil Science Society of America journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sorensen, L.K</au><au>Sorensen, P</au><au>Birkmose, T.S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of Reflectance Near Infrared Spectroscopy for Animal Slurry Analyses</atitle><jtitle>Soil Science Society of America journal</jtitle><date>2007-07</date><risdate>2007</risdate><volume>71</volume><issue>4</issue><spage>1398</spage><epage>1405</epage><pages>1398-1405</pages><issn>0361-5995</issn><eissn>1435-0661</eissn><coden>SSSJD4</coden><abstract>The feasibility of using near infrared spectroscopy (NIRS) for rapid prediction of the composition of cattle and pig slurries was investigated. Samples with a total solids content from <1 to 15% were collected during a 3-yr period and used for calibration and validation. Test samples were sealed in plastic bags and measured in a sample cell moved vertically during measurements. Reflectance data in the range 1200 to 2400 nm were used for calibration based on partial least square regression. Dry matter (DM), N, NH4-N, and P could be determined with r2 values of 0.97, 0.94, 0.92, and 0.87, respectively. The ratios between analyte variation range standard deviation and the root mean square error of prediction (RMSEP) obtained on a calibration independent test set were 6.2 (DM), 4.3 (N), 3.8 (NH4-N), and 3.6 (P). Total C and plant-available N (PAN) could be determined by near infrared spectroscopy with r2 values of 0.94 and 0.89, but the same correlation was obtained by calculation from DM and NH4-N results, respectively. The applicability of NIRS for K, Mg, Ca, Na, S, Cu, and Zn analysis was also investigated. The r2 values were in the range 0.41 to 0.82, with the poorest results for Na, Zn, and K. The corresponding SD/RMSEP ratios were in the range 1.2 to 3.5. We concluded that the applied NIRS methodology is suitable for rapid routine analysis of DM, C, N, NH4-N, P, and PAN in both cattle and pig slurries.</abstract><cop>Madison</cop><pub>Soil Science Society</pub><doi>10.2136/sssaj2006.330</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0361-5995 |
| ispartof | Soil Science Society of America journal, 2007-07, Vol.71 (4), p.1398-1405 |
| issn | 0361-5995 1435-0661 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_743378915 |
| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Accuracy Agriculture Agronomy. Soil science and plant productions ammonium nitrogen animal manures Animal wastes Biological and medical sciences Calibration Cattle chemical analysis Chemicals Dry matter Earth sciences Earth, ocean, space equations Exact sciences and technology Food products Fundamental and applied biological sciences. Psychology Infrared spectroscopy least squares Methods near-infrared spectroscopy nitrogen nutrients phosphorus Pig manure prediction Reflectance Sampling techniques Slurries Soil science Soils spectral analysis statistical analysis Surficial geology |
| title | Application of Reflectance Near Infrared Spectroscopy for Animal Slurry Analyses |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T11%3A27%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Application%20of%20Reflectance%20Near%20Infrared%20Spectroscopy%20for%20Animal%20Slurry%20Analyses&rft.jtitle=Soil%20Science%20Society%20of%20America%20journal&rft.au=Sorensen,%20L.K&rft.date=2007-07&rft.volume=71&rft.issue=4&rft.spage=1398&rft.epage=1405&rft.pages=1398-1405&rft.issn=0361-5995&rft.eissn=1435-0661&rft.coden=SSSJD4&rft_id=info:doi/10.2136/sssaj2006.330&rft_dat=%3Cproquest_cross%3E1392816711%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=216074818&rft_id=info:pmid/&rfr_iscdi=true |