Survival analysis of length of life and length of productive life in Landlly sows

CHHAYA  RANI; ANUJ  CHAUHAN; INDRASEN  CHAUHAN; SNEHASMITA  PANDA; BHARAT  BHUSHAN; GYANENDRA KUMAR  GAUR; TRIVENI  DUTT

doi:10.56093/ijans.v95i2.155242

Authors

CHHAYA RANI ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly
ANUJ CHAUHAN ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly
INDRASEN CHAUHAN ICAR-Indian Veterinary Research Institute, Mukteshwar, Uttarakhand, India
SNEHASMITA PANDA Fisheries and Animal Resources Development Department, Bhubaneswar, India
BHARAT BHUSHAN ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly
GYANENDRA KUMAR GAUR Indian Council of Agriculture Research, New Delhi-110012, India
TRIVENI DUTT ICAR- Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, India

https://doi.org/10.56093/ijans.v95i2.155242

Keywords:

Competing risks, Cox regression, Fine-Gray regression, Landlly pigs, Longevity

Abstract

Survival traits are of major importance in pig breeding as replacing a sow cost more than maintaining a sow in the herd for additional parity. The objective of this study was to determine the factors affecting the longevity of Landlly pigs by employing survival analysis. Both conventional Cox regression and the Fine-Gray subdistribution hazard model were used in the analyses. The data were collected during the year 2014 to 2021, from the Swine Production Farm, ICAR-IVRI, Bareilly. The average length of life (LL) of Landlly sows are 186 days at the farm, as most of the sows are quickly removed (culled) from the herd after completing the first parity, while some sows are selected for more than one farrowing leading to their average length of productive life (LPL) on the form to be 349 days making the length of life (LL) is smaller than the length of productive life (LPL). The winter season (November-February) was harmful to the survival of Landlly piglets. The initial years of birth had protective effects on the LL, while it had hazardous effects on the LPL. The sows became safe from combined risks of removal after crossing parity 1 and parity 2, and they had longer LL. Similarly, after crossing Parity 1 and Parity 2, the sows became safe from risks of removal due to culling, and they had longer LL. The sows also had higher hazards of death after crossing Parity 1 and Parity 2. The sows had longer LPL if they crossed Parity 1 and Parity 2. It was found that birthweight had a highly protective effect against risks of removal, and sows with higher birthweight had a longer LL. No effect of age at the first farrowing on LPL could be found. The birthweight must be sufficiently higher in Landlly pigs to achieve a longer LL, which could be achieved with better nutrition of sows during pregnancy. To ensure longer LL and LPL of sows, the new-born piglets need to be protected during winter seasons. Culling the sows in later parities will secure longer LL and LPL, saving the costs associated with raising replacement gilts.

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References

Araújo A and Meira-Machado L. 2022. smoothHR: Smooth hazard ratio curves taking a reference value v1.0.4 (R package version 1.0.4), https://CRAN.R-project.org/package=smoothHR.

Cox D R. 1972. Regression models and lifetables (with discussion). Journal of the Royal Statistical Society, Series B 34: 187–220.

Engblom L, Lundeheim N, Dalin A M and Andersson K. 2007. Sow removal in Swedish commercial herds. Livestock Science106,76–86.

Engblom L, Lundeheim N, Schneider M del P, Dalin AM and Andersson K. 2009. Genetics of crossbred sow longevity. Animal 3: 783–90.

Fine J P and Gray R J. 1999. A proportional hazards model for the subdistribution of a competing risk. Journal of American Statistical Association 94(446): 496–509.

Firth D. 1993. Bias reduction of maximum likelihood estimates, Biometrika 80: 27-38.

Gray B. 2022. cmprsk: Subdistribution analysis of competing risks v2.2-11 (R package version 2.2-11). https://CRAN.R-project.org/package=cmprsk.

Heinze G, Ploner M, Jiricka L and Steiner G. 2023. coxphf: Cox Regression with Firth’s Penalized Likelihood v1.13.4 (R package version 1.13.4). https://CRAN.R-project.org/package=coxphf.

Heinze G. and Schemper, M. 2001. A solution to the problem of monotone likelihood in Cox regression. Biometrics 57(1): 114‐9.

Heusing M, Hamann H and Distl O. 2005. Genetic analysis of lifetime performance and fertility traits in the pig breeds Large White, German Landrace and Pietrain. Zuchtungskunde 77: 15–34.

Hoge M D and Bates R O. 2011. Developmental factors that influence sow longevity. Journal of Animal Science 89(4): 1238–45.

Horikoshi M and Tang Y. 2016. ggfortify: Data visualization tools for statistical analysis results. https://CRAN.R-project.org/package=ggfortify.

Kammersgaard T S, Pedersen L J, Jørgensen E. 2011. Hypothermia in neonatal piglets: interactions and causes of individual differences. Journal of Animal Science 89: 2073-85.

Kaplan E L and Meier P. 1958. Nonparametric estimation from incomplete observations. Journal of American Statistical Association 53: 457-81.

Knauer M, Stalder K J, Serenius T, Baas TJ and Berger T J. 2010. Factors associated with sow stayability in 6 genotypes. Journal of Animal Sciences 88: 3486-92.

Magnabosco D, Bernardi M L, Wentz I, Cunha, E C P and Bortolozzo F P. 2016. Low birth weight affects lifetime productive performance and longevity of female swine. Livestock Science 184: 119–25.

Magnabosco D, Cunha E C P, Bernardi M L, Wentz I and Bortolozzo F P. 2015. Impact of the birth weight of Landrace X large white dam line gilts on mortality, culling and growth performance until selection for breeding herd. Acta Scientiae Veterinariae 43: 1274.

Meira-Machado L, Cadarso-Suárez C, Gude F and Araújo A. 2013. smoothHR: An R package for pointwise nonparametric estimation of hazard ratio curves of continuous predictors. Computational and Mathematical Methods in Medicine e745742. doi:10.1155/2013/745742.

Meszaros G, Palos J, Ducrocq V, Solkner J. 2010. Heritability of longevity in Large White and Landrace sows using continuous time and grouped data models. Genetics Selection Evolution 42: 1–13.

Nagashima K. and Sato, Y. 2017. Information criteria for Firth’s penalized partial likelihood approach in Cox regression models. Statistics in Medicine 36(21): 3422–36.

Naha B C, Gaur G K, Saini, B L, Sahoo N R and Boro P. 2020. Genetic and phenotypic trend for growth performance in Landlly pigs. The Indian Journal of Animal Sciences 90: 296- 8.

R Development Core Team. 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/

Rani C, Chauhan A, Chauhan I, Vaishnav S, Ajay K A, Panda S, Bhushan B and Dutt T. 2024. Genetic analysis for reproductive and longevity traits in Landlly sows. The Indian Journal of Animal Sciences 94(10): 859–65.

Schneider J. W. 2015. Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations. Scientometrics 102: 411–32.

Serenius T and Stalder K J. 2007. Longevity is impacted by farm management, leg conformation, sow’s own prolificacy, and sow’s origin parity and genetics. Animal 1:745-50.

Sevón-Aimonen M L and Uimari P. 2013. Heritability of sow longevity and lifetime prolificacy in Finnish Yorkshire and Landrace pigs. Agricultural and Food Science 22: 325–30.

Sobczynska M, Blicharski T and Tyra M. 2013. Relationships between longevity, lifetime productivity, carcass traits and conformation in Polish maternal pig breeds. Journal of Animal Breeding and Genetics 130(5): 361–71.

Stalder K J, Knauer M, Baas T J, Rothschild M F and Mabry J W. 2004. Sow longevity. Pig News and Information 25, 53N–74N.

Stanton H G L, Brown J and Mueller R L. 1973. Interrelationships between maternal and neonatal factors and thermoregulation in fasted neonatal swine (Sus domesticus). Comparative Biochemistry and Physiology 44: 97-105.

Suwanasopee T, Mabry J, Koonawootrittriron S, Sopannarath P and Tumwasorn S. 2005. Estimated genetic parameters of non-productive sow days related to litter size in swine raised in Thailand. Thai Journal of Agricultural Science 38(3-4): 87- 93.

Tang Y and Horikoshi M Li W. 2016. ggfortify: Unified interface to visualize statistical result of popular R packages. The R Journal 8(2): 478-49.

Tarres J, Bidanel J P, Hofer A, Rosendo A and Ducrocq V. 2006. Analysis of longevity and exterior traits on Large White sows in Switzerland. Journal of Animal Science 84, 2914–24.

Therneau T M, Grambsch P M. 2000. Modeling survival data: extending the cox model. Springer, New York.

Therneau T M. 2022. A Package for Survival Analysis in R v3.3-1 (R package version 3.3-1). https://CRAN.R-project.org/ package=survival.

Yazdi M, Rydhmer L, Ringmar-Cederberg E, Lundeheim N and Johansson K. 2000. Genetic study of longevity in Swedish Landrace sows. Livestock Production Science 63: 255–64.

Zhang Z, Reinikainen J, Adeleke K A, Pieterse M E and Groothuis- Oudshoorn C G M. 2018. Time-varying covariates and coefficients in Cox regression models. Annals of Translational Medicine 6(7): 121.

Zotti E, Resmini F A, Schutz L G, Volz N and Milani R P. 2017. Impact of piglet birthweight and sow parity on mortality rates, growth performance, and carcass traits in pigs. Revista Brasileira de Zootecnia 46(11): 856-62.