Acknowledgement
This study was financially supported by the Research and Researcher for Industry of the Thailand Research Fund (TRF) (Grant no. PHD60I0007), Khon Kaen University (KKU), and the Research and Development Center Betagro Group in Thailand. The data for this project was supplied by Betagro Agro Industry Company Limited, Bangkok 10210, Thailand.
References
- Engblom L, Lundeheim N, Dalin A-M, Andersson K. Sow removal in Swedish commercial herds. Livest Sci 2007;106:76-86. https://doi.org/10.1016/j.livsci.2006.07.002
- Koketsu Y. Longevity and efficiency associated with age structures of female pigs and herd management in commercial breeding herds. J Anim Sci 2007;85:1086-91. https://doi.org/10.2527/jas.2006-493
- Stalder KJ, Lacy C, Cross TL, Conatser GE. Financial impact of average parity of culled females in a breed-to-wean swine operation using replacement gilt net present value analysis. J Swine Health Prod 2003;11:69-74.
- Nikkila MT, Stalder KJ, Mote BE, et al. Genetic associations for gilt growth, compositional, and structural soundness traits with sow longevity and lifetime reproductive performance. J Anim Sci 2013;91:1570-9. https://doi.org/10.2527/jas.2012-5723
- Iida R, Koketsu Y. Number of pigs born alive in parity 1 sows associated with lifetime performance and removal hazard in high- or low-performing herds in Japan. Prev Vet Med 2015;121:108-14. https://doi.org/10.1016/j.prevetmed.2015.06.012
- Sasaki Y, Koketsu Y. Reproductive profile and lifetime efficiency of female pigs by culling reason in high-performing commercial breeding herds. J Swine Health Prod 2011;19:284-91.
- Iida R, Pineiro C, Koketsu Y. High lifetime and reproductive performance of sows on southern European Union commercial farms can be predicted by high numbers of pigs born alive in parity one. J Anim Sci 2015;93:2501-8. https://doi.org/10.2527/jas.2014-8781
- Kalbfleisch JD, Prentice RL. The statistical analysis of failure time data. New York, USA: Wiley; 1980.
- Caraviello DZ, Weigel KA, Gianola D. Comparison between a weibull proportional hazards model and a linear model for predicting the genetic merit of US jersey sires for daughter longevity. J Dairy Sci 2004;87:1469-76. https://doi.org/10.3168/jds.S0022-0302(04)73298-1
- Serenius T, Stalder KJ. Genetics of length of productive life and lifetime prolificacy in the Finnish Landrace and Large White pig populations. J Anim Sci 2004;82:3111-7. https://doi.org/10.2527/2004.82113111x
- Iowa Pork Industry Center. Sow Tracker [Internet]. c2009 [cited 2019 Dec 21]. Available from: https://www.ipic.iastate.edu/information/STbrochure.pdf
- Stalder KJ. Gilt selection for improved longevity and productivity [Internet]. c2005 [cited 2018 Jul 5]. Available from: https://www.ipic.iastate.edu/presentations/StalderSelection305.pdf
- National Pork Board. Swine Care Handbook [Internet]. Des Moines, IA, USA: National Pork Board; 2003 [cited 2019 Jul 15]. Available from: http://porkcdn.s3.amazonaws.com/sites/all/files/documents/Resources/04010.pdf
- Patience JF, Thacker PA, de Lange CFM. Swine nutrition guide. 2nd edition. Saskatoon, SK, Canada: Prairie Swine Centre Inc; 1995.
- National Research Council. Nutrient requirements of swine: Eleventh Revised Edition [Internet]. Washington, DC, USA: The National Academies Press; 2012.
- Sorensen D, Gianola D. Likelihood, Bayesian and MCMC methods in quantitative genetics: statistics for biology and health. New York, USA: Springer-Verlag; 2002.
- Tsuruta S, Misztal I. THRGIBBS1F90 for estimation of variance components with threshold-linear models. In: Proceedings of the 8th World Congress on Genetics Applied to Livestock Production; 2006 August 13-18: Belo Horizonte, MG, Brazil. pp. 27-31.
- Engblom L, Calderon Diaz JA, Nikkila M, et al. Genetic analysis of sow longevity and sow lifetime reproductive traits using censored data. J Anim Breed Genet 2016;133:138-44. https://doi.org/10.1111/jbg.12177
- National Swine Improvement Federation. Guidelines for Uniform Swine Improvement Programs [Internet]. c2003 [cited 2018 Jul 5]. Available from: http://www.nsif.com/guidel/guidelines.htm
- Arango J, Misztal I, Tsuruta S, Culbertson M, Herring W. Threshold-linear estimation of genetic parameters for farrowing mortality, litter size, and test performance of Large White sows. J Anim Sci 2005;83:499-506. https://doi.org/10.2527/2005.833499x
- Roehe R, Kennedy BW. Estimation of genetic parameters for litter size in Canadian Yorkshire and Landrace swine with each parity of farrowing treated as a different trait. J Anim Sci 1995;73:2959-70. https://doi.org/10.2527/1995.73102959x
- Lopez-Serrano M, Reinsch N, Looft H, Kalm E. Genetic correlations of growth, backfat thickness and exterior with stayability in large white and landrace sows. Livest Prod Sci 2000;64:121-31. https://doi.org/10.1016/S0301-6226(99)00169-4
- Noguera JL, Varona L, Babot D, Estany J. Multivariate analysis of litter size for multiple parities with production traits in pigs: I. Bayesian variance component estimation. J Anim Sci 2002;80:2540-7. https://doi.org/10.1093/ansci/80.10.2540
- Engblom L, Lundeheim N, Schneider M del P, Dalin AM, Andersson K. Genetics of crossbred sow longevity. Animal 2009;3:783-90. https://doi.org/10.1017/S175173110900411X
- Tholen E, Bunter KL, Hermesch S, Graser HU. The genetic foundation of fitness and reproduction traits in Australian pig populations. 1. Genetic parameters for weaning to conception interval, farrowing interval, and stayability. Aust J Agric Res 1996;47:1261-74. https://doi.org/10.1071/AR9961261
Cited by
- Genetic analysis for sow stayability at different parities in purebred Landrace and Large White pigs vol.92, pp.1, 2021, https://doi.org/10.1111/asj.13599