EAAP 2011 Stavanger, Norway Session 52: Causes and consequences of mortality and premature culling of breeding animals

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Bild 1 EAAP 2011 Stavanger, Norway Session 52: Causes and consequences of mortality and premature culling of breeding animals L. Engblom 1, K. Stalder 2 and N. Lundeheim 1 1 Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden 2 Department of Animal Science, Iowa State University, USA IOWA STATE UNIVERSITY Swedish University of Agricultural Sciences www.slu.se Bild 2

Bild 3 MODERN SWINE PRODUCTION Bild 4 Selection for Lean bodies Fast growth Large litters High feed conversion ratio Few non-productive days Highly productive animals

Bild 5 Confined Space Bild 6 Confined Space II

Bild 7 Large Groups Bild 8 Large Groups II

Bild 9 Stressful Environment Bild 10 Time Scheduled farrowing batches Little or no room for biological variation or deviations from the time schedule

Bild 11 RESULT - how is it today Bild 12 USA Sows with litter in crates Dry sows in stalls Data from: 132 farms From 1996 to 2007 515,194 removed sows

Bild 13 Sweden Sows with litter in pen Group housed dry sows Data from: 21 farms from 2001 to 2004 14,234 removed sows Bild 14 How many? If all sows reach 8 parities an annual removal rate of 28% would be necessary for removal of old sows USA Sweden 57% 49%

Bild 15 Removal of Sows 28% Planned removal Low production 9% Old age 19% 72% Reproduction 27% Unplanned removal Udder problems 8% (not Miscellaneous 7% controlled Lameness 9% by herd staff ) Fractures/injuries 7% Found dead 4% euthanized on farm euthanized on farm SLAUGHTER 85% DESTRUCTION 15% Bild 16 Why? Unplanned removal Planned removal USA 69% 31% Sweden 67% 33% Reproduction 32% 27% Lameness 15% 12% Diseases 7% 18% Old age 20% 19% Low production 11% 14%

Bild 17 How? 84% USA 3% 12% Sweden 85% 11% 4% Slaughtered Euthanized Found dead Bild 18 Why? Post-mortem examination of 90 sows collected from 1 Swedish commercial farm (Engblom et al., 2008) Most common mortality causes among the 17 found dead were: circulatory/cardiac failure trauma related injuries Most common finding among the 79 euthanized were: arthritis osteochondrosis fracture In 43% of the cases with only arthritis, the clinical symptoms suggested it being a fracture.

Proportion Bild 19 20% 15% When? USA x=4.5 Sweden x=4.4 10% 5% 0% 1 2 3 4 5 6 7 8 9+ Removal parity Bild 20 When? USA 18% Sweden 17% Sows removed Sows farrowing 12% 12% 100% 82% 70% 58% 11% 11% 11% 47% 36% 10% 25% 15% 1 2 3 4 5 6 7 8 Parity number 14% 12% 100% 83% 69% 57% 11% 11% 9% 46% 35% 10% 26% 16% 1 2 3 4 5 6 7 8 Parity number

Proportion Bild 21 Removal of Gilts 100% 80% >20% 1 US farm, 5000 sows 12,725 removed sows 60% 40% 20% 0% Entering farm Mated 1st 1st parity Mated 2nd 2nd parity Mated 3rd 3rd parity Mated 4th 4th parity Bild 22 12% 10% 8% 6% When? Average lactation 33 days Based on Swedish data set Found dead Euthanised Slaughtered 4% 2% 0% 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 Days between last farrowing and removal

Removal hazard Bild 23 7 When? Based on Swedish data set 6 5 4 3 2 1 0 Length of productive life in days Bild 24 High Removal Hazard Based on Swedish data set 1. Days after farrowing Shortly after weaning 2. Parity In first parity and high parity numbers (>8) 3. Herd year combination 4. Total number of piglets born Farrowing small litters (<9 piglets) 5. Days between weaning and next farrowing Long intervals between weaning and next farrowing 6. Age at first farrowing Old age at first farrowing (>14 months)

Bild 25 Summary High removal rates in both systems Every year every 2 nd sow is removed Large proportions are removed early 30% removed before parity 3 and less than 50% farrow 5 litters Large proportion of unplanned removal 2/3 of the removal High proportion death and euthanasia Bild 26 Economy Production systems with low replacement rates are the most profitable (Faust et al., 1993) At least three litters are required for a sow before she gives a positive cash flow for the producer (Lucia et al., 2000; Stalder et al., 2003) 30% removed before 3 rd parity! The optimal economic lifespan has been shown to be at least five parities (Scholman et al., 1989; Lucia et al., 2000; Rasmussen, 2004) >50% removed before 5 th parity!

Bild 27 Consequences The high and early removal of sows cause: Inferior animal well being Lower production level High proportion of gilts Less opportunity to cull low producing sows Planning at farm level more difficult Risk farm health status if replacement is external Ethical and economic problem Bild 28 WHY is it like this?

Bild 29 I want that, and that, and that, and that... Bild 30 We Want Our Sows to Have or Be... Good pedigree Good conformation Good growth Low age at first farrowing Many functional teats Not too thin or too fat Large litters High milk production Good mother Good appetite Low weight loss Short weaning to service interval Show oestrus well Healthy High annual production High lifetime production

Bild 31 The Result is Good pedigree Many functional teats Good mother Show oestrus well Good conformation Healthy Good growth High annual production Low age at first farrowing Highly Not too thin productive Large or too fat litters but sensitive Good Low weight appetite loss animals High milk production Short weaning to service interval High lifetime production In a challenging environment Little or no tolerance with deviations = Premature culling Bild 32 WHAT CAN WE DO ABOUT IT?

Bild 33 Our 2 options? 1. Accept the high removal as a part of modern swine production 2. Decide not to accept it, but:...meet the sows need by improve management, housing, production systems......and/or select for more robust sows which are more suited to cope with the environment. Bild 34 Large Variation between Farms USA Sweden Annual removal rate Average removal parity 57% 49% 34-66% 4.5 4.4 2.7-7.1 3.4-5.7

Bild 35 Management Removal reasons are more or less subjective Most sows are removed for reproductive disorders Studies have shown that sows removed for reproductive disorders often have normal genital organs (Tummaruk et al., 2009; Knauer et al., 2007; Einarsson et al., 1974) which continued to be active (Karveliene and Riskeviciene, 2009) Improved management can reduce removal e.g. enough time and skill for oestrus check Bild 36 Housing and Production Systems Housing and production system influence removal pattern of sows (Morris et al., 1998; Akos and Bilkei, 2004) Sows kept only on or partially on slatted floors during gestations were likely to have higher annual removal rate (D Allaire et al., 1989) Sows with lactation length (LL) of 15 to 19 days had 3.5 days higher odds of a return to oestrus than sows with LL of 20 to 21 days (Vargas et al., 2009) Improved housing and production systems can reduce removal

Bild 37 Selection for Sow Longevity Longevity heritabilities reported from 0.1 to 0.4 (López-Serrano et al., 2000; Serenius and Stalder, 2004; Heusing et al., 2005; Engblom et al., 2009) Selection can be an efficient way to improve sow longevity (Heusing et al., 2005; Serenius et al, 2006 and Tarrés et al, 2006) Improved genotype ought to be beneficial in all environments But rarely included in breeding evaluations Bild 38 A Challenge to Breed for Definition (stayability, parity, lifetime, lifetime production) Not a normally distributed trait Expressed late in life Many factors influence Long time data collections Possibly different trait in nucleus and commercial farms Does traditional selection lead to improvement among crossbred sows in commercial farms?

Bild 39 PIC 3 Breeding Companies Stayability (0/1) TOPIGS to 1 st parity Parity number (up Stayability to parity (0/1) 5) Leg strength to 1 st parity Stayability (0/1) Parity, from up insemination to of gilts to insemination parity for 5 2 nd parity Stayability (0/1) Heritabilities to 4 th parity not too bad and interesting A long way to go genetic trend The last trait Crazy trait Bild 40 New Techniques Recent studies have found lifetime production associations with QTL regions (Onteru et al., 2011), and SNPs (Rempel et al., 2010) and that it can be improved by using molecular markers for markerassisted selection (Mote et al, 2009) This will be a good way to select young females for superior reproductive performance, but... Not there yet...

Bild 41 Conclusions take home message Every year every 2 nd sow is removed Improvements necessary in management housing and production systems genetics Data collection MSOffice1 from commercial farms Animal well-being and production level Worker morale, and producer profitability Bild 42 NEWS AND FUTURE

Bild 43 Recent Studies Variation between Herds High-performing herds had lower culling rates in parities 2 to 5 and higher culling rates in parities 6 and 7 than lower performing herds (Koketsu and Yosuke, 2009) A huge variation between herds were observed in prevalence of lameness and claw lesions (Pluym, 2011) Bild 44 Claws, Legs and Lameness No differences were fond between Leg structure score groups for hazards of culling (Kaneko et al, 2009) Significant differences in the survival of lame and nonlame sows in a commercial herd (Anil et al., 2009) Lameness significantly increased the risk of sows to be involuntary culled (Jensen et al., 2010) Lameness decreased while the mean claw lesions score increased with ageing (Pluym et al., 2011) Claw lesions did not influence the overall culling risk (Enokida et al., 2011)

Bild 45 Feeding and Management Higher weight gain from first insemination to first weaning was associated with lower non-pregnancy at 2 nd parity (Hoving et al., 2010) Inadequate sow nutrition contributed to high culling rates in Australia, but the main problem were gilt management. Gilts represented 45.2% of the culling. (Hughes et al., 2010) Bild 46 Loose Housed Dry Sows in EU Loose housing systems for dry sows in the European Union from 2013 (91/630/EEC) Many possible housing systems (Pluym et al., 2011) free access stalls pens with electronic sow feeders trickle feeding floor feeding individual feed stalls Focus on sow removal important!

Bild 47 REFERENCES Bild 48 Akos, K., and G. Bilkei. 2004. Comparison of the reproductive performance of sows kept outdoors in Croatia with that of sows kept indoors. Livestock Production Science 85: 293-298. Anil, S. S., L. Anil, and J. Deen. 2009. Effect of lameness on sow longevity. Journal of the American Veterinary Medical Association 235: 734-738. D'Allaire, S., R. S. Morris, F. B. Martin, R. A. Robinson, and A. D. Leman. 1989. Management and environmental factors associated with annual sow culling rate: a path-analysis. Preventive Veterinary Medicine 7: 255-265. Einarsson, S., and I. Settergren. 1974. Fertility and culling in some pig breeding herds in Sweden. Nordisk Veterinärmedicin 26: 576-584. Engblom, L., N. Lundeheim, A.-M. Dalin, and K. Andersson. 2007. Sow removal in Swedish commercial herds. Livestock Science 106: 76-86.

Bild 49 Engblom, L., L. Eliasson-Selling, N. Lundeheim, K. Belak, K. Andersson, and A. M. Dalin. 2008. Post mortem findings in sows and gilts euthanised or found dead in a large Swedish herd. Acta Vet Scand 50: 25. Engblom, L., N. Lundeheim, E. Strandberg, M. D. Schneider, A.- M. Dalin, and K. Andersson. 2008. Factors affecting length of productive life in Swedish commercial sows. Journal of Animal Science 86: 432-441. Engblom, L., N. Lundeheim, M. D. Schneider, A.-M. Dalin, and K. Andersson. 2009. Genetics of crossbred sow longevity Animal 3: 783-790. Enokida, M., Y. Sasaki, Y. Hoshino, H. Saito, and Y. Koketsu. 2011. Claw lesions in lactating sows on commercial farms were associated with postural behavior but not with suboptimal reproductive performance or culling risk. Livestock Science 136: 256-261. Bild 50 Faust, M. A., O. W. Robison, and M. W. Tess. 1993. Genetic and economic analyses of sow replacement rates in the commercial tier of a hierarchical swine breeding structure. Journal of Animal Science 71: 1400-1406. Heusing, M., H. Hamann, and O. Distl. 2005. Genetic analysis of lifetime performance and fertility traits in the pig breeds Large White, German Landrace and Pietrain. Züchtungskunde 77: 15-34. Hoving, L. L., N. M. Soede, E. A. M. Graat, H. Feitsma, and B. Kemp. 2010. Effect of live weight development and reproduction in first parity on reproductive performance of second parity sows. Animal Reproduction Science 122: 82-89. Hughes, P. E., J. Smits, Y. Xie, and R. N. Kirkwood. 2010. Relationships among gilt and sow live weight, P2 backfat depth, and culling rates. (vol 18, pg 301, 2010). Journal of Swine Health and Production 19: 85-85.

Bild 51 Jensen, T. B., M. K. Bonde, A. G. Kongsted, N. Toft, and J. T. Sorensen. 2010. The interrelationships between clinical signs and their effect on involuntary culling among pregnant sows in group-housing systems. Animal 4: 1922-1928. Kaneko, M., Y. Sasaki, Y. Takai, and Y. Koketsu. 2009. A field study of the relationship between leg structure scores and survivability, backfat thickness and behavior in stalled female pigs. Journal of Veterinary Epidemiology 13: 114-120. Karveliene, B., and V. Riskeviciene. 2009. Post-mortem evaluation of genital organs from sows with reproductive disturbances. Veterinarski Arhiv 79: 269-279. Knauer, M., K. J. Stalder, L. Karriker, T. J. Baas, C. Johnson, T. Serenius, L. Layman, and J. D. McKean. 2007. A descriptive survey of lesions from cull sows harvested at two Midwestern U.S. facilities. Preventive Veterinary Medicine 82: 198-212. Bild 52 Koketsu, Y., and Y. Sasaki. 2009. By-Parity Nonproductive Days and Mating and Culling Measurements of Female Pigs in Commercial Breeding Herds. Journal of Veterinary Medical Science 71: 263-267. López-Serrano, M., N. Reinsch, H. Looft, and E. Kalm. 2000. Genetic correlations of growth, backfat thickness and exterior with stayability in Large White and Landrace sows. Livestock Production Science 64: 121-131. Lucia, T., G. D. Dial, and W. E. Marsh. 2000. Lifetime reproductive and financial performance of female swine. Journal of the American Veterinary Medical Association 216: 1802-1809. Morris, J. R., J. F. Hurnik, R. M. Friendship, and N. M. Evans. 1998. The effect of the Hurnik-Morris (HM) system on sow reproduction, attrition, and longevity. J Anim Sci 76: 2759-2762.

Bild 53 Mote, B. E., K. J. Koehler, J. W. Mabry, K. J. Stalder, and M. F. Rothschild. 2009. Identification of genetic markers for productive life in commercial sows. Journal of Animal Science 87: 2187-2195. Onteru, S. K., B. Fan, M. T. Nikkilae, D. J. Garrick, K. J. Stalder, and M. F. Rothschild. 2011. Whole-genome association analyses for lifetime reproductive traits in the pig. Journal of Animal Science 89: 988-995. Pluym, L., A. Van Nuffel, J. Dewulf, A. Cools, F. Vangroenweghe, S. Van Hoorebeke, and D. Maes. 2011. Prevalence and risk factors of claw lesions and lameness in pregnant sows in two types of group housing. Veterinarni Medicina 56: 101-109. Rasmussen, J. 2004. Udskiftning af søer. Faglig publikation, Notat nr. 0442, Landsudvalget for Svin, Danske Slagterier, Copenhagen, Denmark, 12 Bild 54 Rempel, L. A., D. J. Nonneman, T. H. Wise, T. Erkens, L. J. Peelman, and G. A. Rohrer. 2010. Association analyses of candidate single nucleotide polymorphisms on reproductive traits in swine. Journal of Animal Science 88: 1-15. Scholman, G. J., and A. A. Dijkhuizen. 1989. Determination and analysis of the economic optimum culling strategy in swine breeding herds in Western Europe and the USA. Netherlands Journal of Agricultural Science 37: 71-74. Serenius, T., and K. J. Stalder. 2004. Genetics of length of productive life and lifetime prolificacy in the Finnish Landrace and Large White pig populations. Journal of Animal Science 82: 3111-3117. Serenius, T., K. J. Stalder, and M. Puonti. 2006. Impact of dominance effects on sow longevity. J Anim Breed Genet 123: 355-361.

Bild 55 Stalder, K. J., R. C. Lacy, T. L. Cross, and G. E. Conatser. 2003. Financial impact of average parity of culled females in a breed-to-wean swine operation using replacement gilt net present value analysis. Journal of Swine Health and Production 11: 69-74. Tarrés, J., J. Tibau, J. Piedrafita, E. Fabrega, and J. Reixach. 2006. Factors affecting longevity in maternal Duroc swine lines. Livestock Science 100: 121-131. Tummaruk, P., S. Kesdangsakonwut, and A. Kunavongkrit. 2009. Relationships among specific reasons for culling, reproductive data, and gross morphology of the genital tracts in gilts culled due to reproductive failure in Thailand. Theriogenology 71: 369-375. Vargas, A. J., M. L. Bernardi, F. P. Bortolozzo, A. P. G. Mellagi, and I. Wentz. 2009. Factors associated with return to estrus in first service swine females. Preventive Veterinary Medicine 89: 75-80.