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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
26/10/2017 |
Actualizado : |
05/07/2019 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; VARGAS, J.; VILLALBA, M.; ESCALANTE, F. |
Afiliación : |
PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO MOLINA CASELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE EDUARDO VARGAS MANCUELLO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIO VILLALBA, INIA Instituto de Investigación Agropecuaria Uruguay.; FERNANDO DANIEL ESCALANTE UBIEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Evaluación avanzada de cultivares de calidad americana - E5. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
In: Zorrilla, G.; Martínez, S.; Saravia, H. (Eds.) Arroz 2017. Montevideo (UY): INIA, 2017. |
Páginas : |
p. 18-20. |
Serie : |
(INIA Serie Técnica; 233) |
ISBN : |
978-9974-38-381-4 |
ISSN : |
1688-9266 |
DOI : |
http://doi.org/10.35676/INIA/ST.233 |
Idioma : |
Español |
Thesagro : |
ARROZ; EVALUACION DE CULTIVARES; URUGUAY. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/7462/1/ST-233-p.18-20.pdf
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Marc : |
LEADER 00829naa a2200277 a 4500 001 1057695 005 2019-07-05 008 2017 bl uuuu u00u1 u #d 020 $a978-9974-38-381-4 022 $a1688-9266 024 7 $ahttp://doi.org/10.35676/INIA/ST.233$2DOI 100 1 $aBLANCO, P.H. 245 $aEvaluación avanzada de cultivares de calidad americana - E5.$h[electronic resource] 260 $c2017 300 $ap. 18-20. 490 $a(INIA Serie Técnica; 233) 650 $aARROZ 650 $aEVALUACION DE CULTIVARES 650 $aURUGUAY 700 1 $aMOLINA, F. 700 1 $aMARTÍNEZ, S. 700 1 $aCARRACELAS, G. 700 1 $aVARGAS, J. 700 1 $aVILLALBA, M. 700 1 $aESCALANTE, F. 773 $tIn: Zorrilla, G.; Martínez, S.; Saravia, H. (Eds.) Arroz 2017. Montevideo (UY): INIA, 2017.
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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
19/04/2024 |
Actualizado : |
19/04/2024 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
BRITO, G.; SOARES DE LIMA, J.M.; DEL CAMPO, M.; LUZARDO, S.; CORREA, D.; MONTOSSI, F. |
Afiliación : |
GUSTAVO WALTER BRITO DIAZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN MANUEL SOARES DE LIMA LAPETINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCIA DEL CAMPO GIGENA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FELIPE LUZARDO VILLAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIELA CORREA NACIMENTO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FABIO MARCELO MONTOSSI PORCHILE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
The implementation of grading systems for beef carcass value differentiation: the Uruguayan experience. |
Complemento del título : |
Issue Section: Feature Articles. |
Fecha de publicación : |
2024 |
Fuente / Imprenta : |
Animal Frontiers. 2024, Volume 14, Issue 2, Pages 29-34. https://doi.org/10.1093/af/vfae004 -- OPEN ACCESS. |
ISSN : |
2160-6056 (print); 2160-6064 (online). |
DOI : |
10.1093/af/vfae004 |
Idioma : |
Inglés |
Notas : |
Article history: Published online 16 April 2024. -- Correspondence: Gustavo Brito, Instituto Nacional de Investigación Agropecuaria, INIA, Tacuarembó Research Station, C.P. 45000 Tacuarembó, Uruguay, gbrito@inia.org.uy -- Issue Section: Feature Articles (https://academic.oup.com/af/search-results?f_TocHeadingTitle=Feature+Articles ) -- LICENSE: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) |
Contenido : |
Implications: * The Uruguayan beef industry is moving from a subjective beef carcass grading system to a video image analysis (VIA). Different studies contributed to this. Three Uruguayan Beef Quality Audits showed that 80% of the carcasses received the same muscle conformation and fatness score. This lack of discrimination associated suggested the need to develop a more discriminatory method of sorting carcasses into uniform marketing groups. The beef marketing system in Uruguay is based on hot carcass weight and visual degree of fat cover, creating a price grid in which the heaviest carcasses with fat grade 2 are rewarded, achieving the requirements of markets. * Research has been conducted in Uruguay using ultrasound of live animal and VIA of hot and chilled carcasses to better predict red meat yield. The results from this research will be discussed.
* As the meat industry moves toward these concepts, a payment system that remunerates the individual animal merit is necessary, allowing the producer to undertake the relevant changes. Copyright © 2024 American Society of Animal Science |
Palabras claves : |
Beef; Meat quality; SISTEMA GANADERO EXTENSIVO - INIA; Uruguayan carcass grading; Video image analysis. |
Asunto categoría : |
L01 Ganadería |
URL : |
https://academic.oup.com/af/article-pdf/14/2/29/57238268/vfae004.pdf
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Marc : |
LEADER 02498naa a2200277 a 4500 001 1064609 005 2024-04-19 008 2024 bl uuuu u00u1 u #d 022 $a2160-6056 (print); 2160-6064 (online). 024 7 $a10.1093/af/vfae004$2DOI 100 1 $aBRITO, G. 245 $aThe implementation of grading systems for beef carcass value differentiation$bthe Uruguayan experience.$h[electronic resource] 260 $c2024 500 $aArticle history: Published online 16 April 2024. -- Correspondence: Gustavo Brito, Instituto Nacional de Investigación Agropecuaria, INIA, Tacuarembó Research Station, C.P. 45000 Tacuarembó, Uruguay, gbrito@inia.org.uy -- Issue Section: Feature Articles (https://academic.oup.com/af/search-results?f_TocHeadingTitle=Feature+Articles ) -- LICENSE: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) 520 $aImplications: * The Uruguayan beef industry is moving from a subjective beef carcass grading system to a video image analysis (VIA). Different studies contributed to this. Three Uruguayan Beef Quality Audits showed that 80% of the carcasses received the same muscle conformation and fatness score. This lack of discrimination associated suggested the need to develop a more discriminatory method of sorting carcasses into uniform marketing groups. The beef marketing system in Uruguay is based on hot carcass weight and visual degree of fat cover, creating a price grid in which the heaviest carcasses with fat grade 2 are rewarded, achieving the requirements of markets. * Research has been conducted in Uruguay using ultrasound of live animal and VIA of hot and chilled carcasses to better predict red meat yield. The results from this research will be discussed. * As the meat industry moves toward these concepts, a payment system that remunerates the individual animal merit is necessary, allowing the producer to undertake the relevant changes. Copyright © 2024 American Society of Animal Science 653 $aBeef 653 $aMeat quality 653 $aSISTEMA GANADERO EXTENSIVO - INIA 653 $aUruguayan carcass grading 653 $aVideo image analysis 700 1 $aSOARES DE LIMA, J.M. 700 1 $aDEL CAMPO, M. 700 1 $aLUZARDO, S. 700 1 $aCORREA, D. 700 1 $aMONTOSSI, F. 773 $tAnimal Frontiers. 2024, Volume 14, Issue 2, Pages 29-34. https://doi.org/10.1093/af/vfae004 -- OPEN ACCESS.
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