Allen, P and Finnerty, N
2000. Objective beef carcass classification. Report of a trial of three VIA classification systems. The National Food Centre, Dublin, Ireland.
Argo, CM, Dugdale, AHA, Curtis, GC and Morrison, PK
2014. Evaluating body composition in living horses: where are we up to? In Farm animal imaging Copenhagen (ed. CA Maltin, C Craigie and L Bunger), pp. 12–17. Quality Meat Scotland, Ingliston, UK.
Craigie, CR, Navajas, EA, Purchas, RW, Maltin, CA, Bünger, L, Hoskin, SO, Ross, DW, Morris, ST and Roehe, R
2012. 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. Meat Science
Cross, HR, Gilliland, DA, Durland, PR and Seideman, S
1983. Beef carcass evaluation by use of a video image analysis system. Journal of Animal Science
Cunha, BCN, Belk, KE, Scanga, JA, LeValley, SB, Tatum, JD and Smith, GC
2004. Development and validation of equations utilizing lamb vision system output to predict lamb carcass fabrication yields. Journal of Animal Science
Dugdale, AHA, Curtis, GC, Cripps, P, Harris, PA and Argo, CM
2010. Effect of dietary restriction on body condition, composition and welfare of overweight and obese pony mares. Equine Veterinary Journal
2014. Online database of the Food and Agriculture Organization of the United Nations. Retrieved on 4 May 2016 from http://faostat.fao.org: Production.livestock primary and Trade. TradeSTAT. Crops and livestock products.
Ferguson, DM, Thompson, JM, Barrett-Lennard, D and Sorrensen, B
1995. Prediction of beef carcass yield using whole carcass VIAscan. In 41st Annual International Congress of Meat Science and Technology, 20 to 25 August, San Antonio, TX, USA, pp. 183–184.
Franco, D, Crecente, S, Vázquez, JA, Gómez, M and Lorenzo, JM
2013. Effect of cross breeding and amount of finishing diet on growth parameters, carcass and meat composition of foals slaughtered at 15 months of age. Meat Science
Franco, D and Lorenzo, JM
2014. Effect of muscle and intensity of finishing diet on meat quality of foals slaughtered at 15 months. Meat Science
Franco, D, Rodríguez, E, Purriños, L, Crecente, S, Bermúdez, R and Lorenzo, JM
2011. Meat quality of “Galician Mountain” foals breed. Effect of sex, slaughter age and livestock production system. Meat Science
Hopkins, DL, Gardner, GE and Toohey, ES
2015. Australian view on lamb carcass and meat quality – the role of measurement technologies in the Australian sheep industry. In Farm animal imaging (ed. CA Maltin, C Craigie and L Bünger), pp. 17–21. Edinburgh, UK.
Hopkins, DL, Safari, E, Thompson, JM and Smith, CR
2004. Video image analysis in the Australian meat industry–precision and accuracy of predicting lean meat yield in lamb carcasses. Meat Science
Lambe, NR, Navajas, EA, Bünger, L, Fisher, AV, Roehe, R and Simm, G
2009. Prediction of lamb carcass composition and meat quality using combinations of post-mortem measurements. Meat Science
Lorenzo, JM, Crecente, S, Franco, D, Sarriés, MV and Gómez, M
2014a. The effect of livestock production system and concentrate level on carcass traits and meat quality of foals slaughtered at 18 months of age. Animal
Lorenzo, JM, Fuciños, C, Purriños, L and Franco, D
2010. Intramuscular fatty acid composition of “Galician Mountain” foals breed: effect of sex, slaughtered age and livestock production system. Meat Science
Lorenzo, JM, Sarriés, MV and Franco, D
2013. Sex effect on meat quality and carcass traits of foals slaughtered at 15 months of age. Animal
Lorenzo, JM, Sarriés, MV, Tateo, A, Polidori, P, Franco, D and Lanza, M
2014b. Carcass characteristics, meat quality and nutritional value of horsemeat: a review. Meat Science
1983. Choice of a prediction equation and the use of the selected equation in subsequent experimentation. Journal of Animal Science
Ngo, L, Ho, H, Hunter, P, Quinn, K, Thomson, A and Pearson, G
2016. Post-mortem prediction of primal and selected retail cut weights of New Zealand lamb from carcass and animal characteristics. Meat Science
Oliver, A, Mendizabal, JA, Ripoll, G, Albertí, P and Purroy, A
2010. Predicting meat yields and commercial meat cuts from carcasses of young bulls of Spanish breeds by the SEUROP method and an image analysis system. Meat Science
Pabiou, T, Fikse, WF, Cromie, AR, Keane, MG, Näsholm, A and Berry, DP
2011. Use of digital images to predict carcass cut yields in cattle. Livestock Science
Rius-Vilarrasa, E, Bünger, L, Maltin, C, Matthews, KR and Roehe, R
2009. Evaluation of video image analysis (VIA) technology to predict meat yield of sheep carcasses on-line under UK abattoir conditions. Meat Science
Rossel, RA, McGlynn, RN and McBratney, AB
2006. Determing the composition of mineral-organic mixes using UV-vis-NIR diffuse reflectance spectroscopy. Geoderma
Sarriés, MV and Beriain, MJ
2005. Carcass characteristics and meat quality of male and female foals. Meat Science
Sarriés, MV, Murray, BE, Troy, D and Beriain, MJ
2006. Intramuscular and subcutaneous lipid fatty acid profile composition in male and female foals. Meat Science
Silva, SR, Afonso, J, Guedes, CM, Gomes, MJ, Santos, VA, Azevedo, JMT and Dias-da-Silva, A
2016. Ewe whole body composition predicted in vivo by real-time ultrasonography and image analysis. Small Ruminant Research
1983. Possibilities for application of video image analysis in beef carcass classification. In Vivo measurement of body composition in meat animals (ed. N Apellido), pp. 113–122. Elsevier Applied Science Publishers, London, UK.
Sørensen, SE, Klastrup, S and Petersen, F
1988. Classification of bovine carcasses by means of video image analysis and reflectance probe measurements. In Proceedings of the 34th International Congress of Meat Science and Technology, 29 August to 2 September. Brisbane, Australia, pp. 635–638.
Wassenberg, RL, Allen, DM and Kemp, KE
1986. Video image analysis prediction of total kilograms and percent primal lean and fat yield of beef carcasses. Journal of Animal Science
2005. Prediction of horse carcass composition using linear measurements. Meat Science