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| Registros recuperados : 165 | |
| 101. |  | MACEDO, F.; NAVAJAS, E.; AGUILAR, I.; GRASSO, A.; PIERUCCIONI, F.; CIAPPESONI, G. New parentage testing SNP panel for commercial breeds will be a useful tool for conservation of creole sheep. Volume Genetic Improvement Programs: Selection for harsh environments and management of animal genetic resources (Posters), , 441. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p. 441. 3 p.| Biblioteca(s): INIA Las Brujas. |
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| 102. | | GRASSO, A.; GOLDBERG, V.; IRIARTE, W.; GIMENO,D.; CASTELLS, D.; RINCON, G.; NAVAJAS, E.; CIAPPESONI, G. Nuevas herramientas moleculares para la selección en ovinos: ejemplo de caso resistencia a parásitos gastrointestinales 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. 7-9 (Serie Actividades de Difusión; 698)| Biblioteca(s): INIA Las Brujas. |
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| 105. | | CIAPPESONI, G.; NAVAJAS, E.; BAPTISTA, R.; AGUILAR, I.; PERAZA, P.; CARRACELAS, B.; DE BARBIERI, I. Proyecto SMARTER. INIA ya está en el Mundial de la Genética Ovina. Producción Animal. Revista INIA Uruguay, Marzo 2022, no.68, p.15-18. (Revista INIA; 68).| Biblioteca(s): INIA Las Brujas. |
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| 106. | | DE BARBIERI, I.; NAVAJAS, E.; DOUHARD, F.; CONINGTON, J.; Z. RAMOS; CIAPPESONI, G. PL-8 A review of sheep resilience. [conference abstract]. Animal - science proceedings, March 2023, Volume 14, Issue 1, Pages 11-12. doi: https://doi.org/10.1016/j.anscip.2023.01.009 Article history: Available online 13 March 2023, Version of Record 13 March 2023. -- Corresponding author: Ignacio de Barbieri. E-mail: idebarbieri@inia.org.uy --
Acknowledgments: Authors acknowledge the contribution of the projects...| Biblioteca(s): INIA Las Brujas. |
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| 109. | | BLUMETTO, O.; DE BARBIERI, I.; NAVAJAS, E.; BAETHGEN, W.; VERA, B.; BECOÑA, G.; CIAPPESONI, G. Regenerative livestock farming in Uruguay. Montevideo (UY): INIA, 2023. 23 p. (INIA, Special Edition). Technical review: Ing. Agr. PhD Verónica Ciganda y DMV PhD Georgget Banchero. -- This publication derives from the research work of the Natural Resources, Production and Environment Area, within the framework of the Extensive Livestock...| Biblioteca(s): INIA Las Brujas. |
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| 110. | | NAVAJAS, E.; RAVAGNOLO, O.; AGUILAR, I.; CIAPPESONI, G.; PERAZA, P.; DALLA RIZZA, M.; MONTOSSI, F. Selección genómica animal: quién, cómo y dónde. 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. 17-19 (INIA Serie Actividades de Difusión; 702) INIA Tacuarembó| Biblioteca(s): INIA Tacuarembó. |
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| 111. | | SAWALHA, R. M.; NAVAJAS, E.; DUTHIE, C. A.; ROEHE, R.; ROUGHSEDGE, T.; WALL, E. Selection response in UK sheep breeding program with the application of genomic selection and inclusion of production efficiency traits. Volume Genetic improvement programmes: Selection using molecular information - Poster Sessions, 0752. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0752.| Biblioteca(s): INIA Las Brujas. |
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| 112. | | NAVAJAS, E.; GARRICK, D.J.; PLEASANTS, A.B.; MORRIS, C.A. Superiority of a biochemically-based approach for the detection of a quantitative trait locus affecting ultimate pH. Session 11. Growth and meat quality Communication No. 11-16. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 7., Montpellier, France, August 19-23, 2002, p. 11-16.| Biblioteca(s): INIA Las Brujas. |
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| 113. | | VERA, B.; NAVAJAS, E.; DE BARBIERI, I.; VAN LIER, E.; CIAPPESONI, G. Predicciones genómicas para rasgos productivos y de valor ambiental en ovinos Merino Australiano. [resumen]. In: REDBIO México 2022, XI Congreso, "Biotecnología productiva y sostenible". Libro de resúmenes. 12-14 octubre 2022, Yucatán, México. p.122. Este trabajo fue parcialmente financiado por los proyectos SMARTER (772787), RUMIAR, GrassToGas, CSIC I+D-2018-287.| Biblioteca(s): INIA Las Brujas. |
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| 114. | | VERA, B.; MONZALVO, C.; NAVAJAS, E.; DE BARBIERI, I.; CARRACELAS, B.; VAN LIER, E.; CIAPPESONI, G. Predicción del valor genético de ovinos en predios comerciales para emisión de metano, eficiencia de conversión y características productivas. Revista INIA Uruguay, Diciembre 2022, no.71, p. 34-37. (Revista INIA; 71)| Biblioteca(s): INIA Treinta y Tres. |
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| 115. | | LAMBE, N.R.; NAVAJAS, E.; BÜNGER, L.; FISHER, A.V.; ROEHE, R.; SIMM, G. Prediction of lamb carcass composition and meat quality using combinations of post-mortem measurements. Meat Science, 2009, Volume 81, Issue 4, Pages 711-719. doi: https://doi.org/10.1016/j.meatsci.2008.10.025 Article history: Received 27 August 2008; Received in revised form 28 October 2008; Accepted 31 October 2008.| Biblioteca(s): INIA Las Brujas. |
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| 116. | | LAMBE, N.R.; NAVAJAS, E.; FISHER, A.V.; SIMM, G.; ROEHE, R.; BÜNGER, L. Prediction of lamb meat eating quality in two divergent breeds using various live animal and carcass measurements. Meat Science, 2009, Volume 83, Issue 3, Pages 366-375. doi: https://doi.org/10.1016/j.meatsci.2009.06.007 Article history: Received 13 January 2009; Received in revised form 25 May 2009; Accepted 2 June 2009.| Biblioteca(s): INIA Las Brujas. |
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| 117. | | JARA, E.; PEÑAGARICANO, F.; ARMSTRONG, E.; CIAPPESONI, G.; IRIARTE, A.; NAVAJAS, E. Revealing the genetic basis of eyelid pigmentation in Hereford cattle. Journal of Animal Science, 2022, Volume 100, Issue 5. doi: https://doi.org/10.1093/jas/skac110 Article history: Received December 14, 2021; Accepted April 4, 2022; Advance access publication 7 April 2022.
Corresponding author: Eugenio Jara, email: eugeniojara19@gmail.com --| Biblioteca(s): INIA Las Brujas. |
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| 118. | | DE BARBIERI, I.; BLUMETTO, O.; NAVAJAS, E.; LUZARDO, S.; MONTOSSI, F.; CIAPPESONI, G. Valorización de la producción ovina: animales, personas y ambiente. AMBIENTE. En: Cueto, M.I.; Maurino, J.; Giovannini, N.; Bruno Galarraga, M.M. (eds.). Actualización en Producción Ovina 2022: memorias del 10 Curso "Hacia sistemas más sustentables", San Carlos de Bariloche 14 al 15 de noviembre de 2022. p. 32-37. Se reconoce el aporte de los proyectos RUMIAR (CL38 financiado por INIA), Smarter (financiado por H2020, n°772787), y GrasstoGas (ERA-NET SusAn, ERA-NET FACCE
ERA-GAS y ERA-NET ICT-AGRI 2) para desarrollar el trabajo presentado.| 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. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
12/11/2015 |
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Actualizado : |
12/11/2015 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
PRIETO, N.; ROSS D.W.; NAVAJAS, E.; RICHARDSON, R.I.; HYSLOP, J.J.; SIMM, G.; ROEHE, R. |
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Afiliación : |
NURIA PRIETO, SAD (Scottish Agricultural College); Lacombe Research Centre (CA); DAVID E. ROSS, SAC (Scottish Agricultural College); ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; R. IAN RICHARDSON, Universidad de Bristol; JIMMY J. HYSLOP, SAC (Scottish Agricultural College); GEOFF SIMM, SAC (Scottish Agricultural College); RAINER ROEHE, SAC (Scottish Agricultural College). |
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Título : |
Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy. |
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Fecha de publicación : |
2011 |
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Fuente / Imprenta : |
Animal, 2011, v.5, no.1, p. 155-165. |
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DOI : |
http://dx.doi.org/10.1017/S1751731110001618 |
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Idioma : |
Inglés |
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Contenido : |
ABSTRACT
The objective of this study was to examine the online use of near infrared reflectance (NIR) spectroscopy to estimate the concentration of individual and groups of fatty acids (FA) as well as intramuscular fat (IMF) in crossbred Aberdeen Angus (AA×) and Limousin (LIM×) cattle. This was achieved by direct application of a fibre-optic probe to the muscle immediately after exposing the meat surface in the abattoir at 48 h post mortem. Samples of M. longissimus thoracis from 88 AA× and 106 LIM× were scanned over the NIR spectral range from 350 to 1800 nm and samples of the M. longissimus lumborum were analysed for IMF content and FA composition. Statistically significant differences (P < 0.001) were observed in most FA between the two breeds studied, with FA concentration being higher in AA× meat mainly. NIR calibrations, tested by cross-validation, showed moderate to high predictability in LIM× meat samples for C16:0, C16:1, C18:0, trans11 C18:1, C18:1, C18:2 n-6, C20:1, cis9, trans11 C18:2, SFA (saturated FA), MUFA (monounsaturated FA), PUFA (polyunsaturated FA) and IMF content with R2 (SECV, mg/100 g muscle) of 0.69 (146), 0.69 (28), 0.71 (62), 0.70 (8.1), 0.76 (192), 0.65 (13), 0.71 (0.9), 0.71 (2.9), 0.68 (235), 0.75 (240), 0.64 (17) and 0.75 (477), respectively. FA such as C14:0, C18:3 n-3, C20:4 n-6, C20:5 n-3, C22:6 n-3, n-6 and n-3 were more difficult to predict by NIR in these LIM× samples (R2 = 0.12 to 0.62; SECV = 0.5 to 26 mg/100 g muscle). In contrast, NIR showed low predictability for FA in AA× beef samples. In particular for LIM×, the correlations of NIR measurements and several FA in the range from 0.81 to 0.87 indicated that the NIR spectroscopy is a useful online technique for the early, fast and relatively inexpensive estimation of FA composition in the abattoir. MenosABSTRACT
The objective of this study was to examine the online use of near infrared reflectance (NIR) spectroscopy to estimate the concentration of individual and groups of fatty acids (FA) as well as intramuscular fat (IMF) in crossbred Aberdeen Angus (AA×) and Limousin (LIM×) cattle. This was achieved by direct application of a fibre-optic probe to the muscle immediately after exposing the meat surface in the abattoir at 48 h post mortem. Samples of M. longissimus thoracis from 88 AA× and 106 LIM× were scanned over the NIR spectral range from 350 to 1800 nm and samples of the M. longissimus lumborum were analysed for IMF content and FA composition. Statistically significant differences (P < 0.001) were observed in most FA between the two breeds studied, with FA concentration being higher in AA× meat mainly. NIR calibrations, tested by cross-validation, showed moderate to high predictability in LIM× meat samples for C16:0, C16:1, C18:0, trans11 C18:1, C18:1, C18:2 n-6, C20:1, cis9, trans11 C18:2, SFA (saturated FA), MUFA (monounsaturated FA), PUFA (polyunsaturated FA) and IMF content with R2 (SECV, mg/100 g muscle) of 0.69 (146), 0.69 (28), 0.71 (62), 0.70 (8.1), 0.76 (192), 0.65 (13), 0.71 (0.9), 0.71 (2.9), 0.68 (235), 0.75 (240), 0.64 (17) and 0.75 (477), respectively. FA such as C14:0, C18:3 n-3, C20:4 n-6, C20:5 n-3, C22:6 n-3, n-6 and n-3 were more difficult to predict by NIR in these LIM× samples (R2 = 0.12 to 0.62; SECV = 0.5 to 26 mg/100 g muscle). In contrast, NI... Presentar Todo |
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Thesagro : |
ACIDOS GRASOS; ESPECTROSCOPIA INFRARROJA; GANADO DE CARNE. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 02560naa a2200241 a 4500
001 1053842
005 2015-11-12
008 2011 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1017/S1751731110001618$2DOI
100 1 $aPRIETO, N.
245 $aOnline prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy.
260 $c2011
520 $aABSTRACT The objective of this study was to examine the online use of near infrared reflectance (NIR) spectroscopy to estimate the concentration of individual and groups of fatty acids (FA) as well as intramuscular fat (IMF) in crossbred Aberdeen Angus (AA×) and Limousin (LIM×) cattle. This was achieved by direct application of a fibre-optic probe to the muscle immediately after exposing the meat surface in the abattoir at 48 h post mortem. Samples of M. longissimus thoracis from 88 AA× and 106 LIM× were scanned over the NIR spectral range from 350 to 1800 nm and samples of the M. longissimus lumborum were analysed for IMF content and FA composition. Statistically significant differences (P < 0.001) were observed in most FA between the two breeds studied, with FA concentration being higher in AA× meat mainly. NIR calibrations, tested by cross-validation, showed moderate to high predictability in LIM× meat samples for C16:0, C16:1, C18:0, trans11 C18:1, C18:1, C18:2 n-6, C20:1, cis9, trans11 C18:2, SFA (saturated FA), MUFA (monounsaturated FA), PUFA (polyunsaturated FA) and IMF content with R2 (SECV, mg/100 g muscle) of 0.69 (146), 0.69 (28), 0.71 (62), 0.70 (8.1), 0.76 (192), 0.65 (13), 0.71 (0.9), 0.71 (2.9), 0.68 (235), 0.75 (240), 0.64 (17) and 0.75 (477), respectively. FA such as C14:0, C18:3 n-3, C20:4 n-6, C20:5 n-3, C22:6 n-3, n-6 and n-3 were more difficult to predict by NIR in these LIM× samples (R2 = 0.12 to 0.62; SECV = 0.5 to 26 mg/100 g muscle). In contrast, NIR showed low predictability for FA in AA× beef samples. In particular for LIM×, the correlations of NIR measurements and several FA in the range from 0.81 to 0.87 indicated that the NIR spectroscopy is a useful online technique for the early, fast and relatively inexpensive estimation of FA composition in the abattoir.
650 $aACIDOS GRASOS
650 $aESPECTROSCOPIA INFRARROJA
650 $aGANADO DE CARNE
700 1 $aROSS D.W.
700 1 $aNAVAJAS, E.
700 1 $aRICHARDSON, R.I.
700 1 $aHYSLOP, J.J.
700 1 $aSIMM, G.
700 1 $aROEHE, R.
773 $tAnimal, 2011$gv.5, no.1, p. 155-165.
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