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Registros recuperados : 165 | |
121. | | LAMBE, N.R.; CONINGTON, J.; MCLEAN, K.A.; NAVAJAS, E.; FISHER, A.V.; BÜNGER, L. In vivo prediction of internal fat weight in Scottish Blackface lambs, using computer tomography. Journal of Animal Breeding and Genetics, 2006, Volume 123, Issue 2, Pages 105 -113. doi: https://doi.org/10.1111/j.1439-0388.2006.00570.x Article history: Received 24 May 2005; Accepted 15 November 2005; Online 09 March 2006.
Full access: https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1439-0388.2006.00570.xBiblioteca(s): INIA Las Brujas. |
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122. | | RAVAGNOLO, O.; AGUILAR, I.; CROWLEY, J. J.; PRAVIA, M.I.; LEMA, O.M.; MACEDO, F.; SCOTT, S.; NAVAJAS, E. Accuracy of genomic predictions of residual feed intake in Hereford with Uruguayan and Canadian training populations. Volume: Electronic Poster Session - Species - Bovine (beef) 1, p. 723. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. 6 p.Biblioteca(s): INIA Las Brujas. |
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123. | | DE BARBIERI, I.; NAVAJAS, E.A.; GIORELLO, D.; VELAZCO, J.I.; BANCHERO, G.; RODRIGUEZ, B; ROVIRA, F.; CIAPPESONI, G. Association between feed efficiency and methane emissions, performance and health in Merino sheep. [Abstract]. Annual Meeting of the European Federation of Animal Science, 17., No. 26, 2020. Virtual Meeting 1-4 December, 2020. DOI: DOI: 10.3920/978-90-8686-900-8. p. 560Biblioteca(s): INIA Tacuarembó. |
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124. | | DINI, Y.; CAJARVILLE, C.; GERE, J.I.; FERNANDEZ. S.; FRAGA, M.; PRAVIA, M.I.; NAVAJAS, E.; CIGANDA, V. Association between residual feed intake and enteric methane emissions in Hereford steers. Translational Animal Science, v. 3, Issue 1, 1 January 2019, Pages 65-72. Doi: https://doi.10.1093/tas/txy111. Article history: Published: 01 October 2018 // Received: 12 September 2018.Biblioteca(s): INIA La Estanzuela. |
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125. | | DEVINCENZI, T.; JAURENA, M.; DURANTE, M.; SAVIAN, J.V.; CIAPPESONI, G.; NAVAJAS, E.; CIGANDA, V.; LATTANZI, F.; PARUELO, J. Building the GLENCOE Platform -Grasslands LENding eConomic and ecOsystems sErvices. Frontiers in Sustainable Food Systems, June 2021, volume 516, Article 547301. OPEN ACCESS. Doi: https://doi.org/10.3389/fsufs.2021.547301 Article history: Received 31 March 2020, Accepted 26 April 2021, Published 16 June 2021.
Edited by: Iain James Gordon, Australian National University, Australia. Reviewed by: Karl Behrendt, Harper Adams University, United Kingdom;...Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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126. | | NAVAJAS, E.; PERAZA, P.; RAVAGNOLO, O.; CIAPPESONI, G.; AGUILAR, I.; KELLY, L.; BRANDA, A.; DALLA RIZZA, M.; MONTOSSI, F. Banco de ADN genómico animal: pilar de una plataforma en selección genómica. Revista INIA Uruguay, 2012, no. 28, p. 20-24 (Revista INIA; 28)Biblioteca(s): INIA Las Brujas. |
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127. | | CARRACELAS, B.; PERAZA, P.; VERGARA, A.; CIAPPESONI, G.; RAVAGNOLO, O.; AGUILAR, I.; LEMA, O.M.; NAVAJAS, E. Banco de ADN genómico animal - plataforma de evaluación genómica. Revista INIA Uruguay, Diciembre 2022, no.71, p. 38-42. (Revista INIA; 71)Biblioteca(s): INIA Treinta y Tres. |
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128. | | FERREIRA, G.; DE BARBIERI, I.; CASTELLS, D.; NAVAJAS, E.; GIORELLO, D.; COSTA, J.T.C.; BANCHERO, G.; CIAPPESONI, G. Differences in growth between Corriedale sheep divergent lines for resistance to nematodes. In: Annual Meeting of the European Federation of Animal Science, 70., Ghent, Belgium, 26-30 August, 2019. Book of abstracts No. 25. p. 574Biblioteca(s): INIA Tacuarembó. |
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129. | | BRANDA, A.; RAVAGNOLO, O.; BRITO, G.; BALDI, F.; LA MANNA, A.; BANCHERO, G.; NAVAJAS, E.; MONTOSSI, F.; RINCÓN, G. Evaluación de un panel de marcadores en genes candidatos de vías metabólicas en engorde de novillos Hereford. ln: Jornada técnica, VI Jornada de agrobiotecnología. INIA Las Brujas, 20 de octubre de 2012 Conocimiento intensivo para el sector productivo: situación actual y perspectivas. Canelones (UY): INIA, 2012. 24-25 (Serie Actividades de Difusión; 698)Biblioteca(s): INIA Las Brujas. |
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130. | | MARQUES, C. B.; CIAPPESONI, G.; VELAZCO, J.I.; NAVAJAS, E.; FERREIRA, G.; RAMOS, Z.; ROVIRA, F.; DE BARBIERI, I. Evaluation of different models to define a more suitable residual feed intake estimation in sheep. [Abstract]. EAAP - 72nd Annual Meeting, Davos, Switzerland. Session 01, Theatre 9. In: Annual Meeting of the European Federation of Animal Science (EAAP), 72., 30 August - 3 September 2021, Davos, Switzerland. Book of abstracts. Wageningen, NL: WAP, 2021. p.115. doi: https://doi.org/10.3920/978-90-8686-918-3 Conference website: www.eaap2021.orgBiblioteca(s): INIA Las Brujas. |
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131. | | FERREIRA, G.; CIAPPESONI, G.; CASTELLS, D.; AMARILHO-SILVEIRA, F.; NAVAJAS, E.; GIORELLO, D.; BANCHERO, G.; DE BARBIERI, I. Feed conversion efficiency in sheep genetically selected for resistance to gastrointestinal nematodes Animal Production Science, 2021, vol. 61(8), pages 754-760. OPEN ACCESS. doi: https://doi.org/10.1071/AN20121 Article history: Submitted: 24 March 2020 Accepted: 12 February 2021 Published online: 10 March 2021.Biblioteca(s): INIA Tacuarembó. |
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132. | | GRASSO, A.; GOLDBERG, V.; NAVAJAS, E.; IRIARTE, W.; GIMENO, D.; AGUILAR, I.; MEDRANO, J.F.; RINCÓN, G.; CIAPPESONI, G. Genomic variation and population structure detected by single nucleotide polymorphism arrays in Corriedale, Merino and Creole sheep. Genetics and Molecular Biology, 2014, v.37, n.2, p.389-395. Article history: Received: August 29, 2013 / Accepted: March 16, 2014.Biblioteca(s): INIA Las Brujas. |
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133. | | BRANDA, A.; RAVAGNOLO, O.; BRITO, G.; BALDI, F.; LA MANNA, A.; BANCHERO, G.; NAVAJAS, E.; RINCON, G.; MEDRANO, J.F. Evaluation of panel SNP in metabolic pathways candidate genes for meat in hereford. [Evaluación de panel SNP en genes candidatos de vías metabólicas para carne en hereford.] Archivos de Zootecnia, 2014, v.63, no.241, p.73-84. OPEN ACCESS Article history: Recibido 12 noviembre 2012 // Aceptado 25 setiembre 2013.Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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134. | | PRIETO, N.; ROSS D.W.; NAVAJAS, E.; RICHARDSON, R.I.; HYSLOP, J.J.; SIMM, G.; ROEHE, R. Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy. Animal, 2011, v.5, no.1, p. 155-165.Biblioteca(s): INIA Las Brujas. |
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135. | | PRIETO, N.; ROSS, D.W.; NAVAJAS, E.; NUTE, G.R.; RICHARDSON, R.I.; HYSLOP, J.J.; SIMM, G.; ROEHE, R. On-line application of visible and near infrared reflectance spectroscopy to predict chemical?physical and sensory characteristics of beef quality. Meat Science, 2009, Volume 83, Issue 1, Pages 96-103. doi: https://doi.org/10.1016/j.meatsci.2009.04.005 Article history: Received 18 January 2009; Received in revised form 30 March 2009; Accepted 3 April 2009.Biblioteca(s): INIA Las Brujas. |
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136. | | BÜNGER, L.; NAVAJAS, E.; STEVENSON, L.; LAMBE, N.R.; MALTIN, C.A.; SIMM, G.; FISHER, A.V.; CHANG, K.C. Muscle fibre characteristics of two contrasting sheep breeds: Scottish Blackface and Texel. Meat Science, 2009, Volume 81, Issue 2, Pages 372-381. doi: https://doi.org/10.1016/j.meatsci.2008.08.017 Article history: Received 29 March 2008; Received in revised form 26 August 2008; Accepted 31 August 2008.Biblioteca(s): INIA Las Brujas. |
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137. | | RUGGIA, A.; CARRACELAS, B.; CIAPPESONI, G.; DEL PINO, M.L.; DEVINCENZI, T.; MONTALDO, S.; CARRIQUIRY, M.; NAVAJAS, E. Núcleo Informativo Hereford de INIA Las Brujas. Anuario Hereford (Montevideo), 2020, p. 214-215.Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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138. | | RAVAGNOLO, O.; NAVAJAS, E.; AGUILAR, I.; CIAPPESONI, G.; LEMA, O.M.; MONTOSSI, F.; PERAZA, P.; DALLA RIZZA, M. Mejoramiento genético animal e importancia del banco de ADN. ln: INIA TACUAREMBÓ. UNIDAD DE BIOTECNOLOGÍA INIA. Jornada técnica. Jornada de Agrobiotecnología INIA, 15 NOVIEMBRE, Tacuarembó, Biotecnología para el sector productivo: situación actual y perspectivas. Tacuarembó (Uruguay): INIA, 2012. p. 4-7 (INIA Serie Actividades de Difusión; 702)Biblioteca(s): INIA Tacuarembó. |
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139. | | FERREIRA, G.; CIAPPESONI, G.; CASTELLS, D.; BANCHERO, G.; AMARILHO, F.; NAVAJAS, E.; GIORELLO, D.; DE BARBIERI, I. La resiliencia y la eficiencia en conversión de alimento en la producción ovina. Revista INIA Uruguay, 2020, no. 60, p. 27-30. (Revista INIA; 60)Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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140. | | PRIETO, N.; NAVAJAS, E.; RICHARDSON, R.I.; ROSS, D.W.; HYSLOP, J.J.; SIMM, G.; ROEHE, R. Predicting beef cuts composition, fatty acids and meat quality characteristics by spiral computed tomography. Meat Science, 2010, Volume 86, Issue 3, Pages 770-779. doi: https://doi.org/10.1016/j.meatsci.2010.06.020 Article history: Received 12 February 2010; Received in revised form 18 June 2010; Accepted 21 June 2010.Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 165 | |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
17/09/2014 |
Actualizado : |
02/02/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 1 |
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. |
Afiliación : |
ELLY ANA NAVAJAS VALENTINI, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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. |
Fecha de publicación : |
2012 |
Fuente / Imprenta : |
Meat Science, 2012, vol.92, no.4, p.307-318. doi: https://doi.org/10.1016/j.meatsci.2012.05.028 |
ISSN : |
0309-1740 |
DOI : |
10.1016/j.meatsci.2012.05.028 |
Idioma : |
Inglés |
Notas : |
Article history: Received 22 July 2011 / Received in revised form 26 April 2012 / Accepted 31 May 2012. |
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. |
Palabras claves : |
Beef; Carcass; Classification; EUROP, yield; Grading; Video image analysis. |
Thesagro : |
CANAL ANIMAL; GANADO VACUNO; INDUSTRIA DE LA CARNE; RENDIMIENTO; UNION EUROPEA. |
Asunto categoría : |
L01 Ganadería |
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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