Evaluation of fecal near-infrared reflectance spectroscopy profiling technology to predict forage intake estimated using n-alkane markers in grazing cattle
An abstract of a study by Johnson et al evaluating the accuracy of fecal near-infrared reflectance spectroscopy (NIRS) to predict forage intake estimated using n-alkane markers in grazing animals is presented. For this study, independent-trial validation results for the prediction of fecal alkane co...
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| Veröffentlicht in: | Journal of animal science 2017-08, Vol.95, p.55 |
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| creator | Johnson, J R Carstens, G E Prince, S D Ominski, K H Wittenberg, K M Undi, M bes, D A Hafla, A N Tolleson, D R Basarab, J A |
| description | An abstract of a study by Johnson et al evaluating the accuracy of fecal near-infrared reflectance spectroscopy (NIRS) to predict forage intake estimated using n-alkane markers in grazing animals is presented. For this study, independent-trial validation results for the prediction of fecal alkane concentrations and forage DMI estimated using the n-alkane method were poor. Although cross-validation results indicate the potential of this technology to predict forage intake of grazing animals, the independent- trial validation results suggest that a larger database will be needed to enhance robustness of predictive equations across diverse production systems. |
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For this study, independent-trial validation results for the prediction of fecal alkane concentrations and forage DMI estimated using the n-alkane method were poor. Although cross-validation results indicate the potential of this technology to predict forage intake of grazing animals, the independent- trial validation results suggest that a larger database will be needed to enhance robustness of predictive equations across diverse production systems.</description><identifier>ISSN: 0021-8812</identifier><identifier>EISSN: 1525-3163</identifier><language>eng</language><publisher>Champaign: Oxford University Press</publisher><subject>Accuracy ; Alkanes ; Animals ; Cattle ; Forage ; Foraging behavior ; Grazing ; I.R. radiation ; Infrared spectroscopy ; Markers ; Mathematical models ; Near infrared radiation ; Predictions ; Reflectance ; Spectroscopy ; Spectrum analysis ; Technology</subject><ispartof>Journal of animal science, 2017-08, Vol.95, p.55</ispartof><rights>Copyright American Society of Animal Science Aug 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786</link.rule.ids></links><search><creatorcontrib>Johnson, J R</creatorcontrib><creatorcontrib>Carstens, G E</creatorcontrib><creatorcontrib>Prince, S D</creatorcontrib><creatorcontrib>Ominski, K H</creatorcontrib><creatorcontrib>Wittenberg, K M</creatorcontrib><creatorcontrib>Undi, M</creatorcontrib><creatorcontrib>bes, D A</creatorcontrib><creatorcontrib>Hafla, A N</creatorcontrib><creatorcontrib>Tolleson, D R</creatorcontrib><creatorcontrib>Basarab, J A</creatorcontrib><title>Evaluation of fecal near-infrared reflectance spectroscopy profiling technology to predict forage intake estimated using n-alkane markers in grazing cattle</title><title>Journal of animal science</title><description>An abstract of a study by Johnson et al evaluating the accuracy of fecal near-infrared reflectance spectroscopy (NIRS) to predict forage intake estimated using n-alkane markers in grazing animals is presented. 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Although cross-validation results indicate the potential of this technology to predict forage intake of grazing animals, the independent- trial validation results suggest that a larger database will be needed to enhance robustness of predictive equations across diverse production systems.</description><subject>Accuracy</subject><subject>Alkanes</subject><subject>Animals</subject><subject>Cattle</subject><subject>Forage</subject><subject>Foraging behavior</subject><subject>Grazing</subject><subject>I.R. radiation</subject><subject>Infrared spectroscopy</subject><subject>Markers</subject><subject>Mathematical models</subject><subject>Near infrared radiation</subject><subject>Predictions</subject><subject>Reflectance</subject><subject>Spectroscopy</subject><subject>Spectrum 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For this study, independent-trial validation results for the prediction of fecal alkane concentrations and forage DMI estimated using the n-alkane method were poor. Although cross-validation results indicate the potential of this technology to predict forage intake of grazing animals, the independent- trial validation results suggest that a larger database will be needed to enhance robustness of predictive equations across diverse production systems.</abstract><cop>Champaign</cop><pub>Oxford University Press</pub></addata></record> |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Oxford University Press Journals All Titles (1996-Current) |
| subjects | Accuracy Alkanes Animals Cattle Forage Foraging behavior Grazing I.R. radiation Infrared spectroscopy Markers Mathematical models Near infrared radiation Predictions Reflectance Spectroscopy Spectrum analysis Technology |
| title | Evaluation of fecal near-infrared reflectance spectroscopy profiling technology to predict forage intake estimated using n-alkane markers in grazing cattle |
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