Evaluation of electronic technology to assess lamb carcass composition
Accurate price signals are essential or producers of American lamb to ensure production of uniformly lean animals. Development of carcass merit-pricing systems will require the use of objective technology for assessing carcass composition or lean distribution. The objective of this study was to eval...
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| Veröffentlicht in: | Journal of animal science 1997-09, Vol.75 (9), p.2433-2444 |
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| creator | Berg, E.P Neary, M.K Forrest, J.C Thomas, D.L Kauffman, R.G |
| description | Accurate price signals are essential or producers of American lamb to ensure production of uniformly lean animals. Development of carcass merit-pricing systems will require the use of objective technology for assessing carcass composition or lean distribution. The objective of this study was to evaluate electronic technologies for accurate determination of lamb carcass composition. Lambs (n = 106) were selected as a representation of U.S. market lambs that transcended geographic location, sex, breed, carcass weight, yield grade, and production system. The independent variables used to predict lamb composition varied with the technology. The electronic technologies tested included realtime ultrasound, optical reflectance probe, bioelectrical impedance analysis, and electromagnetic scanning (TOBEC). All technologies, except realtime ultrasound, were tested on warm (prerigor) carcasses and repeated after a 24-h chill. Longitudinal ultrasonic scans of fat and muscle tissue depth and grading probe fat depths were marginal predictors of proportional carcass yield. The TOBEC measurements often accounted for more variability associated with kilograms of dissected lean and percentage of carcass lean than did carcass weight. Equations from TOBEC measurements were the most accurate predictors of weight and percentage of dissected and fat-free lean. Bioelectrical impedance measurements of resistance and reactance combined with carcass weight were also good predictors of carcass composition. Prediction of carcass lean distribution by measures of TOBEC were the moat accurate for prediction of leg lean. The implications of usefulness of these technologies will depend on the commitment of the U. S sheep industry in development of a lamb price discovery system based on carcass composition |
| doi_str_mv | 10.2527/1997.7592433x |
| format | Article |
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Development of carcass merit-pricing systems will require the use of objective technology for assessing carcass composition or lean distribution. The objective of this study was to evaluate electronic technologies for accurate determination of lamb carcass composition. Lambs (n = 106) were selected as a representation of U.S. market lambs that transcended geographic location, sex, breed, carcass weight, yield grade, and production system. The independent variables used to predict lamb composition varied with the technology. The electronic technologies tested included realtime ultrasound, optical reflectance probe, bioelectrical impedance analysis, and electromagnetic scanning (TOBEC). All technologies, except realtime ultrasound, were tested on warm (prerigor) carcasses and repeated after a 24-h chill. Longitudinal ultrasonic scans of fat and muscle tissue depth and grading probe fat depths were marginal predictors of proportional carcass yield. The TOBEC measurements often accounted for more variability associated with kilograms of dissected lean and percentage of carcass lean than did carcass weight. Equations from TOBEC measurements were the most accurate predictors of weight and percentage of dissected and fat-free lean. Bioelectrical impedance measurements of resistance and reactance combined with carcass weight were also good predictors of carcass composition. Prediction of carcass lean distribution by measures of TOBEC were the moat accurate for prediction of leg lean. The implications of usefulness of these technologies will depend on the commitment of the U. S sheep industry in development of a lamb price discovery system based on carcass composition</description><identifier>ISSN: 0021-8812</identifier><identifier>EISSN: 1525-3163</identifier><identifier>EISSN: 0021-8812</identifier><identifier>DOI: 10.2527/1997.7592433x</identifier><identifier>PMID: 9303462</identifier><language>eng</language><publisher>Savoy, IL: Am Soc Animal Sci</publisher><subject>AGNEAU ; Animal productions ; Animals ; Biological and medical sciences ; Body Composition - physiology ; CAMPO ELECTROMAGNETICO ; CANAL ANIMAL ; CARCASS COMPOSITION ; CARCASSE ; CARCASSES ; CHAMP ELECTROMAGNETIQUE ; CHEMICOPHYSICAL PROPERTIES ; CLASIFICACION DE PRODUCTOS ; CLASSEMENT ; COMPOSICION DE LA CANAL ; COMPOSITION DE LA CARCASSE ; CORDERO ; Electric Impedance ; ELECTROMAGNETIC FIELD ; Electromagnetic Phenomena ; Female ; Food industries ; Food Technology - methods ; FORECASTING ; Fundamental and applied biological sciences. Psychology ; GRADING ; IMPEDANCE ; LAMBS ; LEAN ; Male ; Meat - analysis ; Meat - standards ; Meat and meat product industries ; Meat processing ; MEAT YIELD ; Optics and Photonics ; PESO ; POIDS ; Predictive Value of Tests ; PROPIEDADES FISICOQUIMICAS ; PROPRIETE PHYSICOCHIMIQUE ; REFLECTANCE ; REFLECTANCIA ; RENDEMENT EN VIANDE ; RENDIMIENTO CARNICO ; SCANNING ; Sheep ; TECHNIQUE DE PREVISION ; TECNICAS DE PREDICCION ; Terrestrial animal productions ; Time Factors ; ULTRASON ; ULTRASONICS ; ULTRASONIDO ; Ultrasonography - methods ; Ultrasonography - veterinary ; United States ; United States Department of Agriculture ; Vertebrates ; WEIGHT</subject><ispartof>Journal of animal science, 1997-09, Vol.75 (9), p.2433-2444</ispartof><rights>1997 INIST-CNRS</rights><rights>Copyright American Society of Animal Science Sep 1997</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-5c9294a87d5545b72838bcf097ae0fe26901935c18faf3f6101e8bec6dc574fd3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2801565$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9303462$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Berg, E.P</creatorcontrib><creatorcontrib>Neary, M.K</creatorcontrib><creatorcontrib>Forrest, J.C</creatorcontrib><creatorcontrib>Thomas, D.L</creatorcontrib><creatorcontrib>Kauffman, R.G</creatorcontrib><title>Evaluation of electronic technology to assess lamb carcass composition</title><title>Journal of animal science</title><addtitle>J Anim Sci</addtitle><description>Accurate price signals are essential or producers of American lamb to ensure production of uniformly lean animals. Development of carcass merit-pricing systems will require the use of objective technology for assessing carcass composition or lean distribution. The objective of this study was to evaluate electronic technologies for accurate determination of lamb carcass composition. Lambs (n = 106) were selected as a representation of U.S. market lambs that transcended geographic location, sex, breed, carcass weight, yield grade, and production system. The independent variables used to predict lamb composition varied with the technology. The electronic technologies tested included realtime ultrasound, optical reflectance probe, bioelectrical impedance analysis, and electromagnetic scanning (TOBEC). All technologies, except realtime ultrasound, were tested on warm (prerigor) carcasses and repeated after a 24-h chill. Longitudinal ultrasonic scans of fat and muscle tissue depth and grading probe fat depths were marginal predictors of proportional carcass yield. The TOBEC measurements often accounted for more variability associated with kilograms of dissected lean and percentage of carcass lean than did carcass weight. Equations from TOBEC measurements were the most accurate predictors of weight and percentage of dissected and fat-free lean. Bioelectrical impedance measurements of resistance and reactance combined with carcass weight were also good predictors of carcass composition. Prediction of carcass lean distribution by measures of TOBEC were the moat accurate for prediction of leg lean. The implications of usefulness of these technologies will depend on the commitment of the U. S sheep industry in development of a lamb price discovery system based on carcass composition</description><subject>AGNEAU</subject><subject>Animal productions</subject><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Body Composition - physiology</subject><subject>CAMPO ELECTROMAGNETICO</subject><subject>CANAL ANIMAL</subject><subject>CARCASS COMPOSITION</subject><subject>CARCASSE</subject><subject>CARCASSES</subject><subject>CHAMP ELECTROMAGNETIQUE</subject><subject>CHEMICOPHYSICAL PROPERTIES</subject><subject>CLASIFICACION DE PRODUCTOS</subject><subject>CLASSEMENT</subject><subject>COMPOSICION DE LA CANAL</subject><subject>COMPOSITION DE LA CARCASSE</subject><subject>CORDERO</subject><subject>Electric Impedance</subject><subject>ELECTROMAGNETIC FIELD</subject><subject>Electromagnetic Phenomena</subject><subject>Female</subject><subject>Food industries</subject><subject>Food Technology - methods</subject><subject>FORECASTING</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>GRADING</subject><subject>IMPEDANCE</subject><subject>LAMBS</subject><subject>LEAN</subject><subject>Male</subject><subject>Meat - analysis</subject><subject>Meat - standards</subject><subject>Meat and meat product industries</subject><subject>Meat processing</subject><subject>MEAT YIELD</subject><subject>Optics and Photonics</subject><subject>PESO</subject><subject>POIDS</subject><subject>Predictive Value of Tests</subject><subject>PROPIEDADES FISICOQUIMICAS</subject><subject>PROPRIETE PHYSICOCHIMIQUE</subject><subject>REFLECTANCE</subject><subject>REFLECTANCIA</subject><subject>RENDEMENT EN VIANDE</subject><subject>RENDIMIENTO CARNICO</subject><subject>SCANNING</subject><subject>Sheep</subject><subject>TECHNIQUE DE PREVISION</subject><subject>TECNICAS DE PREDICCION</subject><subject>Terrestrial animal productions</subject><subject>Time Factors</subject><subject>ULTRASON</subject><subject>ULTRASONICS</subject><subject>ULTRASONIDO</subject><subject>Ultrasonography - methods</subject><subject>Ultrasonography - veterinary</subject><subject>United States</subject><subject>United States Department of Agriculture</subject><subject>Vertebrates</subject><subject>WEIGHT</subject><issn>0021-8812</issn><issn>1525-3163</issn><issn>0021-8812</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkE1v1DAQhi0EKkvhyBEpQohbir8mto-oagGpEgfo2Zp47d2snHixk0L_PY66tBKn0WgePzN-CXnL6AUHrj4xY9SFAsOlEH-ekQ0DDq1gnXhONpRy1mrN-EvyqpQDpYyDgTNyZgQVsuMbcn11h3HBeUhTk0Ljo3dzTtPgmtm7_ZRi2t03c2qwFF9KE3HsG4fZ1b5xaTymMqxvX5MXAWPxb071nNxeX_28_NrefP_y7fLzTeuEUXMLznAjUastgIRecS107wI1Cj0NnneGMiPAMR0wiNAxyrzuveu2DpQMW3FOPj54jzn9WnyZ7TgU52PEyaelWFX9lElTwff_gYe05KneZjnTjEmQXYXaB8jlVEr2wR7zMGK-t4zaNVy7hmv_hVv5dyfp0o9--0if0qzzD6c5FocxZJzcUB4xrimDDp4-sR92-99D9raMGGOVMnvAosAauy582hcwWdzl6rr9sZ5EOyEBxF929ZZ1</recordid><startdate>19970901</startdate><enddate>19970901</enddate><creator>Berg, E.P</creator><creator>Neary, M.K</creator><creator>Forrest, J.C</creator><creator>Thomas, D.L</creator><creator>Kauffman, R.G</creator><general>Am Soc Animal Sci</general><general>American Society of Animal Science</general><general>Oxford University Press</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>K9.</scope><scope>U9A</scope><scope>7X8</scope></search><sort><creationdate>19970901</creationdate><title>Evaluation of electronic technology to assess lamb carcass composition</title><author>Berg, E.P ; Neary, M.K ; Forrest, J.C ; Thomas, D.L ; Kauffman, R.G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-5c9294a87d5545b72838bcf097ae0fe26901935c18faf3f6101e8bec6dc574fd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>AGNEAU</topic><topic>Animal productions</topic><topic>Animals</topic><topic>Biological and medical sciences</topic><topic>Body Composition - physiology</topic><topic>CAMPO ELECTROMAGNETICO</topic><topic>CANAL ANIMAL</topic><topic>CARCASS COMPOSITION</topic><topic>CARCASSE</topic><topic>CARCASSES</topic><topic>CHAMP ELECTROMAGNETIQUE</topic><topic>CHEMICOPHYSICAL PROPERTIES</topic><topic>CLASIFICACION DE PRODUCTOS</topic><topic>CLASSEMENT</topic><topic>COMPOSICION DE LA CANAL</topic><topic>COMPOSITION DE LA CARCASSE</topic><topic>CORDERO</topic><topic>Electric Impedance</topic><topic>ELECTROMAGNETIC FIELD</topic><topic>Electromagnetic Phenomena</topic><topic>Female</topic><topic>Food industries</topic><topic>Food Technology - methods</topic><topic>FORECASTING</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>GRADING</topic><topic>IMPEDANCE</topic><topic>LAMBS</topic><topic>LEAN</topic><topic>Male</topic><topic>Meat - analysis</topic><topic>Meat - standards</topic><topic>Meat and meat product industries</topic><topic>Meat processing</topic><topic>MEAT YIELD</topic><topic>Optics and Photonics</topic><topic>PESO</topic><topic>POIDS</topic><topic>Predictive Value of Tests</topic><topic>PROPIEDADES FISICOQUIMICAS</topic><topic>PROPRIETE PHYSICOCHIMIQUE</topic><topic>REFLECTANCE</topic><topic>REFLECTANCIA</topic><topic>RENDEMENT EN VIANDE</topic><topic>RENDIMIENTO CARNICO</topic><topic>SCANNING</topic><topic>Sheep</topic><topic>TECHNIQUE DE PREVISION</topic><topic>TECNICAS DE PREDICCION</topic><topic>Terrestrial animal productions</topic><topic>Time Factors</topic><topic>ULTRASON</topic><topic>ULTRASONICS</topic><topic>ULTRASONIDO</topic><topic>Ultrasonography - methods</topic><topic>Ultrasonography - veterinary</topic><topic>United States</topic><topic>United States Department of Agriculture</topic><topic>Vertebrates</topic><topic>WEIGHT</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Berg, E.P</creatorcontrib><creatorcontrib>Neary, M.K</creatorcontrib><creatorcontrib>Forrest, J.C</creatorcontrib><creatorcontrib>Thomas, D.L</creatorcontrib><creatorcontrib>Kauffman, R.G</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>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of animal science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Berg, E.P</au><au>Neary, M.K</au><au>Forrest, J.C</au><au>Thomas, D.L</au><au>Kauffman, R.G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of electronic technology to assess lamb carcass composition</atitle><jtitle>Journal of animal science</jtitle><addtitle>J Anim Sci</addtitle><date>1997-09-01</date><risdate>1997</risdate><volume>75</volume><issue>9</issue><spage>2433</spage><epage>2444</epage><pages>2433-2444</pages><issn>0021-8812</issn><eissn>1525-3163</eissn><eissn>0021-8812</eissn><abstract>Accurate price signals are essential or producers of American lamb to ensure production of uniformly lean animals. Development of carcass merit-pricing systems will require the use of objective technology for assessing carcass composition or lean distribution. The objective of this study was to evaluate electronic technologies for accurate determination of lamb carcass composition. Lambs (n = 106) were selected as a representation of U.S. market lambs that transcended geographic location, sex, breed, carcass weight, yield grade, and production system. The independent variables used to predict lamb composition varied with the technology. The electronic technologies tested included realtime ultrasound, optical reflectance probe, bioelectrical impedance analysis, and electromagnetic scanning (TOBEC). All technologies, except realtime ultrasound, were tested on warm (prerigor) carcasses and repeated after a 24-h chill. Longitudinal ultrasonic scans of fat and muscle tissue depth and grading probe fat depths were marginal predictors of proportional carcass yield. The TOBEC measurements often accounted for more variability associated with kilograms of dissected lean and percentage of carcass lean than did carcass weight. Equations from TOBEC measurements were the most accurate predictors of weight and percentage of dissected and fat-free lean. Bioelectrical impedance measurements of resistance and reactance combined with carcass weight were also good predictors of carcass composition. Prediction of carcass lean distribution by measures of TOBEC were the moat accurate for prediction of leg lean. The implications of usefulness of these technologies will depend on the commitment of the U. S sheep industry in development of a lamb price discovery system based on carcass composition</abstract><cop>Savoy, IL</cop><pub>Am Soc Animal Sci</pub><pmid>9303462</pmid><doi>10.2527/1997.7592433x</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0021-8812 |
| ispartof | Journal of animal science, 1997-09, Vol.75 (9), p.2433-2444 |
| issn | 0021-8812 1525-3163 0021-8812 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_79290149 |
| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current) |
| subjects | AGNEAU Animal productions Animals Biological and medical sciences Body Composition - physiology CAMPO ELECTROMAGNETICO CANAL ANIMAL CARCASS COMPOSITION CARCASSE CARCASSES CHAMP ELECTROMAGNETIQUE CHEMICOPHYSICAL PROPERTIES CLASIFICACION DE PRODUCTOS CLASSEMENT COMPOSICION DE LA CANAL COMPOSITION DE LA CARCASSE CORDERO Electric Impedance ELECTROMAGNETIC FIELD Electromagnetic Phenomena Female Food industries Food Technology - methods FORECASTING Fundamental and applied biological sciences. Psychology GRADING IMPEDANCE LAMBS LEAN Male Meat - analysis Meat - standards Meat and meat product industries Meat processing MEAT YIELD Optics and Photonics PESO POIDS Predictive Value of Tests PROPIEDADES FISICOQUIMICAS PROPRIETE PHYSICOCHIMIQUE REFLECTANCE REFLECTANCIA RENDEMENT EN VIANDE RENDIMIENTO CARNICO SCANNING Sheep TECHNIQUE DE PREVISION TECNICAS DE PREDICCION Terrestrial animal productions Time Factors ULTRASON ULTRASONICS ULTRASONIDO Ultrasonography - methods Ultrasonography - veterinary United States United States Department of Agriculture Vertebrates WEIGHT |
| title | Evaluation of electronic technology to assess lamb carcass composition |
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