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Prediction of conception at 1st artificial insemination using a combination of energy balance indicators

Published online by Cambridge University Press:  22 November 2017

G E Valergakis ,
G Oikonomou ,
G Arsenos ,
M P Georgiadis  and
G Banos
G E Valergakis*
Affiliation:
Faculty of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
G Oikonomou
Affiliation:
Faculty of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
G Arsenos
Affiliation:
Faculty of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
M P Georgiadis
Affiliation:
Faculty of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
G Banos
Affiliation:
Faculty of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
*
Email: geval@vet.auth.gr
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Extract

Declining reproductive performance is a major problem for the global dairy industry (Lucy 2001) whereas magnitude and duration of postpartum negative energy balance of dairy cows are considered as the main reasons (de Vries and Veerkamp 2000). Moreover, various energy balance indicators, such as body condition score (BCS) and plasma βhydroxybutyrate (BHB) concentration, have been correlated with reduced reproductive performance (Pryce et al 2001, Taylor et al 2003, Patton et al 2007, Walsh et al 2007). Such information has been already used to adjust herd management practices in order to prevent negative effects on reproduction. Furthermore, the ability to predict reproductive performance of cows with reasonable accuracy would also be very useful to dairy farmers. In such case, important management decisions (e.g. length of voluntary waiting period, starting dates of synchronisation programs and price of semen used), could be made for each individual cow. The aim of this study was to investigate whether combining certain energy balance indicators would yield useful predictions of cow reproductive performance at 1st artificial insemination (AI).

Type
Theatre Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2009 , April 2009 , pp. 10
Copyright
Copyright © The British Society of Animal Science 2009

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References

Lucy, M.C. 2001. J. Dairy Sci., 84, 1277–1293.CrossRefGoogle Scholar
de Vries, M.J. and Veerkamp, R.F. 2000. Journal of Dairy Science, 83, 62–69.Google Scholar
Pryce, J.E., Coffey, M.P., and Simm, G. 2001. Journal of Dairy Science, 84, 1508–1515.CrossRefGoogle Scholar
Taylor, V.J., Beever, D.E., Bryant, M.J., and Wathes, D.C. 2003. Theriogenology, 59, 1661–1677.Google Scholar
Patton, J., Kenny, D.A., McNamara, S., Mee, J.F., O’Mara, F.P., Diskin, M.G., and Murphy, J.J. 2007. Journal of Dairy Science, 90, 649–658.Google Scholar
Walsh, R.B., Walton, J.S., Kelton, D.F., LeBlanc, S.J., Leslie, K.E., and Duffield, T.F. 2007. Journal of Dairy Science 90, 2788–2796.Google Scholar