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1.Imagen marcada / sin marcar LAMBE, N.R.; NAVAJAS, E.; MCLEAN, K.A.; SIMM, G.; BÜNGER, L. Changes in carcass traits during growth in lambs of two contrasting breeds, measured using computer tomography. Livestock Science 2007, Volume 107, Issue 1, Pages 37-52. doi: http://dx.doi.org/10.1016/j.livsci.2006.09.001 Article history: Received 7 September 2005; Received in revised form 30 April 2006; Accepted 5 September 2006.
Biblioteca(s): INIA Las Brujas.
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2.Imagen marcada / sin marcar NAVAJAS, E.; LAMBE, N.R.; FISHER, A.V.; NUTE, G.R.; BÜNGER, L.; SIMM, G. Muscularity and eating quality of lambs: Effects of breed, sex and selection of sires using muscularity measurements by computed tomography. Meat Science, 2008, Volume 79, Issue 1, Pages 105-112. doi: https://doi.org/10.1016/j.meatsci.2007.08.006 Article history: Received 11 April 2007; Received in revised form 14 August 2007; Accepted 19 August 2007. Corresponding author: Navajas, E.A.; Sustainable Livestock Systems Group, Scottish Agricultural College, King's Buildings, United...
Biblioteca(s): INIA Las Brujas.
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3.Imagen marcada / sin marcar 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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4.Imagen marcada / sin marcar 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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5.Imagen marcada / sin marcar S. ANDRÉS; MURRAY, I.; NAVAJAS, E.; FISHER, A.V.; LAMBE, N.R.; BÜNGER, L. Prediction of sensory characteristics of lamb meat samples by near infrared reflectance spectroscopy. Meat Science, 2007, Volume 76, Issue 3, Pages 509-516. OPEN ACCESS. doi: https://doi.org/10.1016/j.meatsci.2007.01.011 Article history: Received 20 April 2006; Received in revised form 27 October 2006; Accepted 8 January 2007.
Biblioteca(s): INIA Las Brujas.
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6.Imagen marcada / sin marcar 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.x
Biblioteca(s): INIA Las Brujas.
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7.Imagen marcada / sin marcar 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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8.Imagen marcada / sin marcar LAMBE, N.R.; NAVAJAS, E.; SCHOFIELD, C.P.; FISHER, A.V.; SIMM, G.; ROEHE, R.; BÜNGER, L. The use of various live animal measurements to predict carcass and meat quality in two divergent lamb breeds. Meat Science, 2008, Volume 80, Issue 4, Pages 1138-1149. doi: https://doi.org/10.1016/j.meatsci.2008.05.026 Article history: Received 12 February 2008; Received in revised form 13 May 2008; Accepted 14 May 2008.
Biblioteca(s): INIA Las Brujas.
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9.Imagen marcada / sin marcar NAVAJAS, E.; LAMBE, N.R.; MCLEAN, K.A.; GLASBEY, C.A.; FISHER, A.V.; CHARTERIS, A.J.L.; BÜNGER, L.; SIMM, G. Accuracy of in vivo muscularity indices measured by computed tomography and their association with carcass quality in lambs. Meat Science, 2007, Volume 75, Issue 3, Pages 533-542. doi: https://doi.org/10.1016/j.meatsci.2006.09.007 Article history: Received 8 February 2006; Received in revised form 21 July 2006; Accepted 4 September 2006. Corresponding author: Navajas, E.A.; Sustainable Livestock Systems Group, Scottish Agricultural College, King's Buildings,...
Biblioteca(s): INIA Las Brujas.
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10.Imagen marcada / sin marcar LAMBE, N.R.; ROSS, D.W.; NAVAJAS, E.; HYSLOP, J.J.; PRIETO, N.; CRAIGIE, C.; BÜNGER, L.; SIMM, G.; ROEHE, R. The prediction of carcass composition and tissue distribution in beef cattle using ultrasound scanning at the start and/or end of the finishing period. Livestock Science, 2010, Volume 131, Issue 2-3, Pages 193-202. OPEN ACCESS. doi: http://dx.doi.org/10.1016/j.livsci.2010.03.019 Article history: Received 4 September 2009; Received in revised form 26 March 2010; Accepted 31 March 2010.
Biblioteca(s): INIA Las Brujas.
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11.Imagen marcada / sin marcar NAVAJAS, E.; GLASBEY, C. A.; MCLEAN, K. A.; FISHER, A. V.; CHARTERIS, A. J. L.; LAMBE, N. R.; BUNGER, L.; SIMM, J. In vivo measurements of muscle volume by automatic image analysis of spiral computed tomography scans. Animal Science, 2006, Volume 82, Issue 4, p. 545-553. doi: https://doi.org/10.1079/ASC200662 Article history: Published online 09 March 2007.
Biblioteca(s): INIA Las Brujas.
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12.Imagen marcada / sin marcar CONINGTON, J.; LAMBE, N.; TORTEREAU, F.; MCGOVERN, F.; NAVAJAS, E.; DE BARBIERI, I.; CIAPPESONI, G.; JAKOBSEN, J.; SMITH, E .; YATES, J.; LE GRAVERAND, Q.; MCDERMOTT, K.; STEINHEIM, G.; ASPEHOLEN, B.; DØNNEM, I.; MCHUGH, N.; FARRELL, L.; MARIE-ETANCELIN, C.; JOHNSON, P.; ROWE, S. Strategies to mitigate greenhouse gas emissions from pasture-based sheep systems - an EU project consortium view. [15] Part 4 - Society - genetic solutions to achieve net zero carbon emission in livestock systems. In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_15 107-110. Article history: Published online: February 9, 2023 -- Correspondence author: J. Conington, email: joanne.conington@sruc.ac.uk -- Acknowledgements: Each country receives funding from their national sponsoring organisation, under the...
Biblioteca(s): INIA Las Brujas.
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13.Imagen marcada / sin marcar RIVERO, M.J.; LÓPEZ-VILLALOBOS, N.; EVANS, A.; BERNDT, A.; CARTMILL, A.; NEAL, A. L.; MCLAREN, A.; FARRUGGIA, A.; MIGNOLET, C.; CHADWICK, D.; STYLES, D.; MCCRACKEN, D.; BUSCH, D.; MARTIN, G. B.; FLEMING, H.; SHERIDAN, H.; GIBBONS, J.; MERBOLD, L.; EISLER, M.; LAMBE, N.; ROVIRA, P.J.; HARRIS, P.; MURPHY, P.; VERCOE, P. E.; WILLIAMS, P.; MACHADO, R.; TAKAHASHI, T.; PUECH, T.; BOLAND, T.; AYALA, W.; LEE, M.R.F. Key traits for ruminant livestock across diverse production systems in the context of climate change: perspectives from a global platform of research farms. Reproduction, Fertility and Development, 8 January 2021, vol. 33, p. 1-19. OPEN ACCESS. Doi: https://doi.org/10.1071/RD20205 Article history: Published online 8 January 2021. Corresponding author: michael.lee@rothamsted.ac.uk
Biblioteca(s): INIA Treinta y Tres.
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Registros recuperados : 13
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Biblioteca (s) :  INIA Treinta y Tres.
Fecha actual :  22/01/2021
Actualizado :  22/01/2021
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  -- - --
Autor :  RIVERO, M.J.; LÓPEZ-VILLALOBOS, N.; EVANS, A.; BERNDT, A.; CARTMILL, A.; NEAL, A. L.; MCLAREN, A.; FARRUGGIA, A.; MIGNOLET, C.; CHADWICK, D.; STYLES, D.; MCCRACKEN, D.; BUSCH, D.; MARTIN, G. B.; FLEMING, H.; SHERIDAN, H.; GIBBONS, J.; MERBOLD, L.; EISLER, M.; LAMBE, N.; ROVIRA, P.J.; HARRIS, P.; MURPHY, P.; VERCOE, P. E.; WILLIAMS, P.; MACHADO, R.; TAKAHASHI, T.; PUECH, T.; BOLAND, T.; AYALA, W.; LEE, M.R.F.
Afiliación :  M. JORDANA RIVERO, Sustainable Agricultural Science, Rothamsted Research, UK.; NICOLÁS LÓPEZ-VILLALOBOS, School of Agriculture and Environment, Massey University, New Zealand.; ALEX EVANS, School of Agriculture and Food Science, University College Dublin, Ireland.; ALEXANDRE BERNDT, Embrapa Southeast Livestock, Sao Paulo, Brazil.; ANDREW CARTMILL, Shool of Agriculture, University of Wisconsin-Platteville, USA.; ANDREW L. NEAL, Sustainable Agriculture Sciences, Rothamsted Research, UK.; ANN , MCLAREN, Hill and Mountain Research Centre, UK.; ANNE FARRUGGIA, Institut National de Recherche por l'agriculture. I'alimentation et I'environment (INRAE) Département sciences por l'action, les transitions, les territories (ACT), Unité Experimentale, Saint Laurent de la Prée. France; CATHERINE MIGNOLET, Institut National de Recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Departament Sciences jpor l'action, les transitions, les territories (ACT), Unité de Recherche Mirecourt, France.; DAVE CHADWICK, School of Nature Sciences, Bangor University, UK.; DAVID STYLES, School of Nature Sciences, Bangor University, UK.; DAVY MCCRAKEN, Hill and Mountain Research Centre, UK.; DENNIS BUSCH, Shool of Agriculture, University of Wisconsin-Platteville, USA.; GRAEME B. MARTIN, The UWA Institute of Agriculture, The University of Western Australia, Australia.; HANNAH FLEMING, Sustainable Agricultural Science, Rothamsted Research, UK.; HELEN SHERIDAN, School of Agriculture and Food Science, University College Dublin, Ireland.; JAMES GIBBONS, School of Nature Sciences, Bangor University, UK.; LUTZ MERBOLD, Mazingira Centre, International Livestock Research institute, Nairobi, kenya.; MARK EISLER, Bristol Veterinary school, University of Bristol, UK.; NICOLA LAMBE, Hill and Mountain Research Centre, UK.; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PAUL HARRIS, Sustainable Agricultural Science, Rothamsted Research, UK.; PAUL MURPHY, School of Agriculture and Food Science, University College Dublin, Ireland.; PHILIP E. VERCOE, The UWA Institute of Agriculture, The University Research Institute, Nairobi, Kenya.; PRYSIR WILLIAMS, School of Nature Sciences, Bangor University, UK.; RUI MACHADO, Institut National de Recherche por l'agriculture. I'alimentation et I'environment (INRAE) Département sciences por l'action, les transitions, les territories (ACT), Unité Experimentale, Saint Laurent de la Prée. France; TARO TAKAHASHI, Sustainable Agricultural Science, Rothamsted Research, UK.; THOMAS PUECH, Institut National de Recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Departament Sciences jpor l'action, les transitions, les territories (ACT), Unité de Recherche Mirecourt, France.; TOMMY BOLAND, School of Agriculture and Food Science, University College Dublin, Ireland.; WALTER FELIZARDO AYALA SILVERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MICHAEL R. F. LEE, Sustainable Agricultural Science, Rothamsted Research, UK. / Bristol Veterinary school, University of Bristol, UK.
Título :  Key traits for ruminant livestock across diverse production systems in the context of climate change: perspectives from a global platform of research farms.
Fecha de publicación :  2021
Fuente / Imprenta :  Reproduction, Fertility and Development, 8 January 2021, vol. 33, p. 1-19. OPEN ACCESS. Doi: https://doi.org/10.1071/RD20205
DOI :  10.1071/RD20205
Idioma :  Inglés
Notas :  Article history: Published online 8 January 2021. Corresponding author: michael.lee@rothamsted.ac.uk
Contenido :  Abstract: Ruminant livestock are raised under diverse cultural and environmental production systems around the globe. Ruminant livestock can play a critical role in food security by supplying high-quality, nutrient-dense food with little or no competition for arable land while simultaneously improving soil health through vital returns of organic matter. However, in the context of climate change and limited land resources, the role of ruminant-based systems is uncertain because of their reputed low efficiency of feed conversion (kilogram of feed required per kilogram of product) and the production of methane as a by-product of enteric fermentation. A growing human population will demand more animal protein, which will put greater pressure on the Earth?s planetary boundaries and contribute further to climate change. Therefore, livestock production globally faces the dual challenges of mitigating emissions and adapting to a changing climate. This requires research-led animal and plant breeding and feeding strategies to optimise ruminant systems. This study collated information from a global network of research farms reflecting a variety of ruminant production systems in diverse regions of the globe. Using thisinformation, key changesin the genetic and nutritional approachesrelevant to each system were drawn that, if implemented, would help shape more sustainable future ruminant livestock systems.
Palabras claves :  BREEDING GOALS; FEEDING STRATEGIES; GENETIC RESOURCES; GLOBAL WARMING; GRAZING RUMINANTS; PRODUCTION SYSTEMS; SUSTAINABLE INTENSIFICATION.
Asunto categoría :  L01 Ganadería
URL :  http://www.ainfo.inia.uy/digital/bitstream/item/14933/1/Reproduction-fertility-development-2021-1.pdf
https://www.publish.csiro.au/rd/Fulltext/RD20205
Marc :  Presentar Marc Completo
Registro original :  INIA Treinta y Tres (TT)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
TT103231 - 1PXIAP - DDPP/RFD-2021-1
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