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Genetic analysis of dystocia and calf birth weight for first parity Holstein in Iran

Published online by Cambridge University Press:  23 November 2017

R. Abdullahpour ,
M. Moradi-shahrebabak ,
H. Mehrabani-Yeganeh  and
M. B. Sayadnezhad
R. Abdullahpour*
Affiliation:
Department of Animal Science, Tehran University
M. Moradi-shahrebabak
Affiliation:
Department of Animal Science, Tehran University
H. Mehrabani-Yeganeh
Affiliation:
Department of Animal Science, Tehran University
M. B. Sayadnezhad
Affiliation:
Animal Breeding Center, Iran
*
Email: [email protected]
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Extract

Dystocia is defined as a prolonged, or difficult, parturition and is one of the most economically significant secondary traits. Any attempt for decreasing dystocia rate will result in decreasing farming cost and improving animal welfare. The disproportion between calf size (birth weight) and pelvic opening of the dam is the major cause of calving difficulty. Heifers have smaller pelvic area and experience more incidence of dystocia. Calving difficulty in heifers is considered as a different trait from those of later parities (Weller et. al. 1988). Calf birth weight is the most important factor influencing dystocia. Calving difficulty and calf birth weight are characters influenced by maternal effects, so considering maternal effect in data analysis will increase model accuracy. The objective of this study was to estimate genetic parameters of calving difficulty and birth weight.

Type
Poster Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2005 , 2005 , pp. 125
Copyright
Copyright © The British Society of Animal Science 2005

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References

Misztal, I., Tsuruta, S., Strabel, T., Auvray, B., Druet, T. and Lee, D. H. 2002. BLUPF90 and related programs (BGF90). 7th world congress on genetics applied to livestock production, August 19-23, 2002, Montpellier, France Google Scholar
Weller, J. I., Misztal, I. and Gianola, D. 1988. Genetic analysis of dystocia and calf mortility in Israeli_Holstein by threshold and linear models. J Dairy Sci. 71: 2491–2501 Google Scholar