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Robot milking and relationship with culling rate in dairy cows

Published online by Cambridge University Press:  29 October 2018

A. Bugueiro ,
R. Fouz ,
F. Camino ,
E. Yus  and
F. J. Diéguez Open the ORCID record for F. J. Diéguez [Opens in a new window]
A. Bugueiro
Affiliation:
Departamento de Anatomía, Producción Animal y Ciencias Clínicas Veterinarias, Facultad de Veterinaria, Universidad de Santiago de Compostela, Campus Universitario s/n, 27002 Lugo, España
R. Fouz
Affiliation:
Africor Lugo, Av. de Fingoi 117 bajo, 27002 Lugo, España
F. Camino
Affiliation:
IES Batalla de Clavijo, Calle Gral. Urrutia 4, 26005 Logroño, La Rioja, España
E. Yus
Affiliation:
Instituto de Investigación y Análisis Alimentarios, Facultad de Veterinaria, Universidad de Santiago de Compostela, Campus Universitario s/n, 27002 Lugo, España
F. J. Diéguez*
Affiliation:
Departamento de Anatomía, Producción Animal y Ciencias Clínicas Veterinarias, Facultad de Veterinaria, Universidad de Santiago de Compostela, Campus Universitario s/n, 27002 Lugo, España
*
†E-mail: [email protected]
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Abstract

Cow routines and behavioral responses are altered substantially following the installation of robot milking. The present study was designed to analyze the effect that switching from milking parlor to automatic milking system (AMS) had on the culling rate (due to various causes) of dairy cattle. For this purpose, culling records and causes for culling were tracked in 23 dairy farms in the Galicia region (NW Spain). The animals in these farms were monitored for 5 years. For the present study, that length of time was divided into three different stages, as follows: 2 years before switching from a milking parlor to AMS (stage 1), the 1st year following the implementation of AMS (stage 2) and the 2nd and 3rd years succeeding the implementation of AMS (stage 3). Cox models for survival analysis were used to estimate the time to culling due to different reasons during stage 1 in relation to stages 2 and 3. The data indicated that the risk of loss due to death or emergency slaughter decreased significantly following the installation of AMS. In contrast, the risk of culling due to low production, udder problems, infertility or lameness increased significantly. Low-production cows (such as cows in advanced lactation due to infertility) or sick cows (such as mastitic or lame cows) allegedly have a noticeable effect both on the performance and the amortization of the cost of AMS, which in turn would lead to a higher probability of elimination than in conventional systems.

Keywords

automatic milking systemscauses for lossdairiessurvival analysisCox regression
Type
Research Article
Information
animal , Volume 13 , Issue 6 , June 2019 , pp. 1304 - 1310
Copyright
© The Animal Consortium 2018 

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References

Abeni, F, Calamari, L, Calza, F, Speroni, M, Bertoni, G and Pirlo, G 2005. Welfare assessment based on metabolic and endocrine aspects in primiparous cows milked in a parlor or with an automatic milking system. Journal of Dairy Science 88, 3542–3552.Google Scholar
Alvåsen, K, Mörk, MJ, Sandgren, CH, Thomsen, PT and Emanuelson, U 2012. Herd-level risk factors associated with cow mortality in Swedish dairy herds. Journal of Dairy Science 95, 4352–4362.Google Scholar
Asociación Provincial para el Control de Rendimientos (AFRICOR) 2017. Memoria 2016. Retrieved on 11 October 2017 from http://africorlugo.com/memorias.asp.Google Scholar
Bach, A and Cabrera, V 2017. Robotic milking: feeding strategies and economic returns. Journal of Dairy Science 100, 7720–7728.Google Scholar
Boletín Oficial del Estado 2005. Real Decreto 368/2005 por el que se regula el control oficial del rendimiento lechero para la evaluación genética en las especies bovina, ovina y caprina. Retrieved on 30 September 2017 from http://www.boe.es/diario_boe/txt.php? id=BOE-A-2005-6564.Google Scholar
Borderas, TF, Fournier, A, Rushen, J and de Passille, AMB 2008. Effect of lameness on dairy cows’ visits to automatic milking systems. Canadian Journal of Animal Science 88, 1–8.Google Scholar
Burow, E, Thomsen, PT, Sørensen, JT and Rousing, T 2011. The effect of grazing on cow mortality in Danish dairy herds. Preventive Veterinary Medicine 100, 237–241.Google Scholar
Castro, A, Pereira, JM, Amiama, C and Bueno, J 2012. Estimating efficiency in automatic milking systems. Journal of Dairy Science 95, 929–936.Google Scholar
Castro, A, Pereira, JM, Amiama, C and Bueno, J 2015. Mastitis diagnosis in ten Galician dairy herds (NW Spain) with automatic milking systems. Spanish Journal of Agricultural Research 13, e0504.Google Scholar
Dearing, J, Hillerton, JE, Poelarends, JJ, Neijenhuis, F, Sampimon, OC and Fossing, C 2004. Effects of automatic milking on body condition score and fertility of dairy cows. In Automatic milking: a better understanding (ed. A Meijering, H Hogeveen and CJAM de Koning)), pp 135–140. Wageningen Academic Publishers, Wageningen, The Netherlands.Google Scholar
Extension 2017. Dairy robotic milking systems – what are the economics? Retrieved on 3 November 2017 from http://articles.extension.org/pages/73995/dairy-robotic-milking-systems-what-are-the-economics.Google Scholar
Fouz, R, Yus, E, Sanjuán, ML and Diéguez, FJ 2014. Causas de eliminación en rebaños bovinos lecheros de raza frisona en Control Lechero Oficial. Información Técnica Económica Agraria 110, 171–186.Google Scholar
Hillerton, JE, Dearing, J, Dale, J, Poelarends, JJ, Neijenhuis, F, Sampimon, OC and Fossing, C 2004. Impact of automatic milking on animal health. In Automatic milking: a better understanding (ed. A Meijering, H Hogeveen and CJAM de Koning), pp 125–134. Wageningen Academic Publishers, Wageningen, The Netherlands.Google Scholar
Hogeveen, H, Ouweltjes, WCJ, de Koning, CJAM and Stelwagen, K 2001. Milking interval, milk production and milk flow-rate in an automatic milking system. Livestock Science 72, 157–167.Google Scholar
Hovinen, M. and Pyörälä, S. 2011. Invited review: udder health of dairy cows in automatic milking. Journal of Dairy Science 94, 547–562.Google Scholar
International Committee for Animal Recording 2014. ICAR rules, standards and guidelines for recording milk and milk constituents. In International agreement of recording practices (ed. ICAR), pp 25–57. International Committee for Animal Recording General Assembly, Berlin, Germany.Google Scholar
Jacobs, JA and Siegford, JM 2012. Invited review: The impact of automatic milking systems on dairy cow management, behavior, health, and welfare. Journal of Dairy Science 95, 2227–2247.Google Scholar
Koning, K and Rodenburg, J 2004. Automatic milking: state of the art in Europe and North America. In Automatic milking: a better understanding (ed. A Meijering, H Hogeveen and CJAM de Koning), pp 27–40. Wageningen Academic Publishers, Wageningen, The Netherlands.Google Scholar
Kruip, TAM, Stefanowska, J and Ouweltjes, W 2000. Robot milking and effect on reproduction in dairy cows: a preliminary study. Animal Reproduction Science 60, 443–447.Google Scholar
Lee, ET and Wang, JW 2003. Statistical methods for survival data analysis, 3rd edition. John Wiley & Sons Inc, Hoboken, NJ, USA.Google Scholar
Ministerio de Agricultura, Alimentación y Medio Ambiente (MAGRAMA) 2016. Encuestas de efectivos de ganado bovino. Retrieved on 16 November 2017 from http://www.mapama.gob.es/es/estadistica/temas/estadisticas-agrarias/informebovino2016_tcm7-476459.pdf.Google Scholar
Pinedo, PJ, De Vries, A and Webb, DW 2010. Dynamics of culling risk with disposal codes reported by dairy herd improvement dairy herds. Journal of Dairy Science 93, 2250–2261.Google Scholar
Sarjokari, K, Hovinen, M, Seppä-Lassila, L, Norring, M, Hurme, T, Peltoniemi, OAT and Rajala-Schultz, PJ 2018. On-farm deaths of dairy cows are associated with features of freestall barns. Journal of Dairy Science 101, 6253–6261.Google Scholar
Smith, RL, Strawderman, RL, Schukken, YH, Welss, SJ, Pradhan, AK, Espejo, LA, Whitlock, RH, van Kessel, JS, Smith, JM, Wolgang, DR and Gröhn, YT 2010. Effect of Johne’s disease status on reproduction and culling in dairy cattle. Journal of Dairy Science 93, 3513–3524.Google Scholar
Tse, C, Barkema, HW, de Vries, TJ, Rushen, J and Pajor, EA 2017. Effect of transitioning to automatic milking systems on producers’ perceptions of farm management and cow health in the Canadian dairy industry. Journal of Dairy Science 100, 2404–2414.Google Scholar
Xunta de Galicia. Consellería do Medio Rural 2018. Explotación do rexistro de gando bovino. Retrieved on 14 June 2018 from http://mediorural.xunta.gal/institucional/estatisticas/medio_rural/gando_bovino/.Google Scholar