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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
17/09/2014 |
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Actualizado : |
02/02/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CRAIGIE, C.R.; NAVAJAS, E.A.; PURCHAS, R.W.; MALTIN, C.A.; BUNGER, L.; HOSKIN, S.O.; ROSS, D.W.; MORRIS, S.T.; ROEHE, R. |
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Afiliación : |
ELLY ANA NAVAJAS VALENTINI, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
A review of the development and use of video image analysis (VIA) for beef carcass evaluation as an alternative to the current EUROP system and other subjective systems. |
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Fecha de publicación : |
2012 |
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Fuente / Imprenta : |
Meat Science, 2012, vol.92, no.4, p.307-318. doi: https://doi.org/10.1016/j.meatsci.2012.05.028 |
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ISSN : |
0309-1740 |
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DOI : |
10.1016/j.meatsci.2012.05.028 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 22 July 2011 / Received in revised form 26 April 2012 / Accepted 31 May 2012. |
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Contenido : |
ABSTRACT.
The current EUROP beef carcass classification scheme is still largely dependent on visually assessed fatness and conformation and its purpose is to provide a common basis for the description of carcasses for use in trade, price reporting and intervention. The meat industry, however, aims for accurately predicted saleable meat yield (SMY%) to which the EUROP carcass classification shows highly variable correlations due in part to the variable distribution of fat throughout the carcass as affected by breed, sex, diet, and the level of fat trimming. Video image analysis (VIA) technology is capable of improving the precision and accuracy of SMY% prediction even for specific carcass joints and simultaneously mimics the visual assessment to comply with EU regulations on carcass classification. This review summarises the development and use of VIA for evaluation of beef carcasses and discusses the advantages and shortfalls of the technology and its application.
© 2012 Elsevier Ltd. |
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Palabras claves : |
Beef; Carcass; Classification; EUROP, yield; Grading; Video image analysis. |
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Thesagro : |
CANAL ANIMAL; GANADO VACUNO; INDUSTRIA DE LA CARNE; RENDIMIENTO; UNION EUROPEA. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 02258naa a2200385 a 4500
001 1050364
005 2022-02-02
008 2012 bl uuuu u00u1 u #d
022 $a0309-1740
024 7 $a10.1016/j.meatsci.2012.05.028$2DOI
100 1 $aCRAIGIE, C.R.
245 $aA review of the development and use of video image analysis (VIA) for beef carcass evaluation as an alternative to the current EUROP system and other subjective systems.$h[electronic resource]
260 $c2012
500 $aArticle history: Received 22 July 2011 / Received in revised form 26 April 2012 / Accepted 31 May 2012.
520 $aABSTRACT. The current EUROP beef carcass classification scheme is still largely dependent on visually assessed fatness and conformation and its purpose is to provide a common basis for the description of carcasses for use in trade, price reporting and intervention. The meat industry, however, aims for accurately predicted saleable meat yield (SMY%) to which the EUROP carcass classification shows highly variable correlations due in part to the variable distribution of fat throughout the carcass as affected by breed, sex, diet, and the level of fat trimming. Video image analysis (VIA) technology is capable of improving the precision and accuracy of SMY% prediction even for specific carcass joints and simultaneously mimics the visual assessment to comply with EU regulations on carcass classification. This review summarises the development and use of VIA for evaluation of beef carcasses and discusses the advantages and shortfalls of the technology and its application. © 2012 Elsevier Ltd.
650 $aCANAL ANIMAL
650 $aGANADO VACUNO
650 $aINDUSTRIA DE LA CARNE
650 $aRENDIMIENTO
650 $aUNION EUROPEA
653 $aBeef
653 $aCarcass
653 $aClassification
653 $aEUROP, yield
653 $aGrading
653 $aVideo image analysis
700 1 $aNAVAJAS, E.A.
700 1 $aPURCHAS, R.W.
700 1 $aMALTIN, C.A.
700 1 $aBUNGER, L.
700 1 $aHOSKIN, S.O.
700 1 $aROSS, D.W.
700 1 $aMORRIS, S.T.
700 1 $aROEHE, R.
773 $tMeat Science, 2012, vol.92, no.4, p.307-318. doi: https://doi.org/10.1016/j.meatsci.2012.05.028
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INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
14/02/2022 |
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Actualizado : |
14/02/2022 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
GARCÍA-PRÉCHAC, F.; SALVO, L.; ERNST, O.; SIRI-PRIETO, G.; QUINCKE, A.; TERRA, J.A. |
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Afiliación : |
FERNANDO GARCÍA-PRÉCHAC, Facultad de Agronomía, Universidad de La República, Uruguay; LUCÍA SALVO, Facultad de Agronomía, Universidad de La República, Uruguay; OSWALDO ERNST, Facultad de Agronomía, Universidad de La República, Uruguay; GUILLERMO SIRI-PRIETO, Facultad de Agronomía, Universidad de La República, Uruguay; JUAN ANDRES QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Long-term effects of different agricultural soil use and management systems on soil degradation in Uruguay. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
In: Li R., Napier T.L., El-Swaify S.A., Sabir M., Rienzi E. (eds). Global Degradation of Soil and Water Resources. Springer, Singapore, 2022. https://doi.org/10.1007/978-981-16-7916-2_7 |
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Páginas : |
p.77-92. |
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ISBN : |
978-981-16-7915-5 (print); 978-981-16-7916-2 (eBook) |
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DOI : |
10.1007/978-981-16-7916-2_7 |
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Idioma : |
Inglés |
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Notas : |
Chapter history: First Online 01 January 2022. |
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Contenido : |
The objective of the present paper is to review and update the experimental results and the model predictions about soil erosion and SOC content changes in Argiudolls of Uruguay. |
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Palabras claves : |
Cropping system; Ecosystem; SOILS. |
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Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
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Marc : |
LEADER 01081naa a2200253 a 4500
001 1062740
005 2022-02-14
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1007/978-981-16-7916-2_7$2DOI
100 1 $aGARCÍA-PRÉCHAC, F.
245 $aLong-term effects of different agricultural soil use and management systems on soil degradation in Uruguay.$h[electronic resource]
260 $c2022
300 $ap.77-92.
500 $aChapter history: First Online 01 January 2022.
520 $aThe objective of the present paper is to review and update the experimental results and the model predictions about soil erosion and SOC content changes in Argiudolls of Uruguay.
653 $aCropping system
653 $aEcosystem
653 $aSOILS
700 1 $aSALVO, L.
700 1 $aERNST, O.
700 1 $aSIRI-PRIETO, G.
700 1 $aQUINCKE, A.
700 1 $aTERRA, J.A.
773 $tIn: Li R., Napier T.L., El-Swaify S.A., Sabir M., Rienzi E. (eds). Global Degradation of Soil and Water Resources. Springer, Singapore, 2022. https://doi.org/10.1007/978-981-16-7916-2_7
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