Czech J. Anim. Sci., 2012, 57(9):402-409 | DOI: 10.17221/6314-CJAS

Genetic parameters including the service sire effect for the sow traits stillbirth and piglet losses in Czech Large White and Landrace

J. Wolf, M. Wolfová
Institute of Animal Science, Prague-Uhøínìves, Czech Republic

Genetic parameters including the proportion of variance for the service sire effect were estimated for number of piglets stillborn (including piglets died until 24 h after birth) and number of piglets died from 24 h after birth until weaning in Czech Large White (89 231 litters) and Czech Landrace (28 320 litters) pigs. Both traits were considered to be traits of the sow. Two two-trait animal models were evaluated for each breed including or excluding the service sire effect. Estimates of genetic parameters were very similar for the two models. The heritability for number of stillborn piglets was 0.06 in both breeds and both models and the heritability for number of piglets died until weaning was 0.07 in Czech Large White and 0.05 to 0.06 in Czech Landrace. The proportion of variance due to service sire was very low (between 0.8 and 1.6%). Therefore, there is no need to include the service sire effect in models for genetic evaluation. A selection against farrowing losses is recommended though only a slow improvement of the trait can be expected. Selecting against piglets died until weaning seems to be cumbersome. Probably a selection on number of piglets weaned could be helpful in minimizing piglet losses until weaning.

Keywords: pig; reproduction

Published: September 30, 2012  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Wolf J, Wolfová M. Genetic parameters including the service sire effect for the sow traits stillbirth and piglet losses in Czech Large White and Landrace. Czech J. Anim. Sci. 2012;57(9):402-409. doi: 10.17221/6314-CJAS.
Download citation

References

  1. Arango J., Misztal I., Tsuruta S., Culbertson M., Herring W. (2005): Threshold-linear estimation of genetic parameters for farrowing mortality, litter size, and test performance of Large White sows. Journal of Animal Science, 83, 499-506. Go to original source... Go to PubMed...
  2. Canario L., Roy N., Gruand J., Bidanel J.P. (2006): Genetic variation of farrowing kinetics traits and their relationships with litter size and perinatal mortality in French Large White sows. Journal of Animal Science, 84, 1053-1058. Go to original source... Go to PubMed...
  3. Chen C.Y., Misztal I., Tsuruta S., Herring W.O., Holl J., Culbertson M. (2010): Genetic analyses of stillbirth in relation to litter size using random regression models. Journal of Animal Science, 88, 3800-3808. Go to original source... Go to PubMed...
  4. Groeneveld E., Kovaè M., Mielenz N. (2008): VCE User's Guide and Reference Manual, Version 6.0. Available from ftp://ftp.tzv.fal.de/pub/latest_vce/doc/ (accessed Aug 1, 2011).
  5. Groeneveld E., Kovaè M., Wang T. (1990): PEST, a general purpose BLUP package for multivariate prediction and estimation. In: Proc. 4th World Congress of Genetics Applied to Livestock Production. Edinburgh, UK, 13, 488-491.
  6. Hanenberg E., Knol E.F., Merks J.W.M. (2001): Estimates of genetic parameters for reproduction traits at different parities in Dutch Landrace pigs. Livestock Production Science, 69, 179-186. Go to original source...
  7. Holm B., Bakken M., Vangen O., Rekaya R. (2004): Genetic analysis of litter size, parturition length, and birth assistance requirements in primiparous sows using a joint linear-threshold animal model. Journal of Animal Science, 82, 2528-2533. Go to original source... Go to PubMed...
  8. Huby M., Gogué J., Maignel L., Bidanel J.P. (2003): Corrélations génétiques entre les caractéristiques numériques et pondérales de la portée, la variabilité du poids des porcelets et leur survie entre la naissance et le sevrage. Journées Recherche Porcine, 35, 293-300.
  9. Kapell D.N.R.G., Ashworth C.J., Walling G.A., Lawrence A.B., Edwards S.A., Roehe R. (2009): Estimation of genetic associations between reproduction and production traits based on a sire and dam line with common ancestry. Animal, 3, 1354-1362. Go to original source... Go to PubMed...
  10. Neumaier A., Groeneveld E. (1998): Restricted maximum likelihood estimation of covariances in sparse linear models. Genetics Selection Evolution, 30, 3-26. Go to original source...
  11. Serenius T., Sevón-Aimonen M.L., Kause A., Mäntysaari E.A., Mäki-Tanila A. (2004): Selection potential of different prolificacy traits in the Finnish Landrace and Large White populations. Acta Agriculturae Scandinavica, Section A - Animal Science, 54, 36-43. Go to original source...
  12. Sobczyñska M., Blicharski T., Korwin-Kossakowska A., Kamyczek M. (2007): Maternal effects on farrowing and pre-weaning traits in Line 990 pigs. Animal Science Papers and Reports, 25, 173-182.
  13. Stalder K.J., Christian L.L., Rothschild M.F., Lin E.C. (1998): Maternal swine trait genetic parameter estimates measured on Landrace females with known porcine stress syndrome genotypes. Journal of Animal Breeding and Genetics, 115, 199-209. Go to original source...
  14. Su G., Lund M.S., Sorensen D. (2007): Selection for litter size at day five to improve litter size at weaning and piglet survival rate. Journal of Animal Science, 85, 1385-1392. Go to original source... Go to PubMed...
  15. Wolf J., Wolfová M. (2012): Effect of service sire on litter size traits in Czech Large White and Landrace pigs. Czech Journal of Animal Science, 57, 220-230. Go to original source...
  16. Wolf J., ®áková E., Groeneveld E. (2005): Genetic parameters for a joint genetic evaluation of production and reproduction traits in pigs. Czech Journal of Animal Science, 50, 96-103. Go to original source...
  17. Wolf J., ®áková E., Groeneveld E. (2008): Within-litter variation of birth weight in hyperprolific Czech Large White sows and its relation to litter size traits, stillborn piglets and losses until weaning. Livestock Science, 115, 195-205. Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.