Literature DB >> 18567721

Mortality, death interval, survivals, and herd factors for death in gilts and sows in commercial breeding herds.

Y Sasaki1, Y Koketsu.   

Abstract

The objectives of this study were to measure death intervals and survival, to determine mortality rate and mortality risks, and to investigate the association of herd factors with mortality risk in individual female pigs. This study was conducted by obtaining female data with lifetime records of 65,621 females born between 1999 and 2002, and herd data with mean measurements of 5 yr from 2000 to 2004 in 105 herds. Annualized mortality rate was calculated as the number of dead females divided by the sum of life days in all gilts and sows, multiplied by 365 d. Mortality risk was calculated as the number of dead females divided by the number of surviving females at farrowing in each parity. Death interval in gilts was defined as the number of days from birth to death, and that in sows was the number of days from the last farrowing to death. A Cox proportional hazards model was used to obtain the survival probability by parity. Logistic regression analyses were used to investigate the association of herd factors with mortality risk in individual females in each parity. Of the 65,621 females, the mortality risk was 9.9%, and the annualized mortality rate was 3.9%. Of the 6,501 dead females, death intervals in gilts and sows were 294.7 and 55.0 d, respectively. In gilts, survival probability rapidly decreased at 33 and 50 wk of age, around the first mating and the first parturition. In contrast, survival probability in sows decreased at wk 1 after farrowing, and rapidly decreased at wk 20 and 21 after farrowing in all parity groups that were around a subsequent peripartum period. The percentages of death on wk 0, 1, and 2 after the last farrowing in all the dead sows were 6.5, 23.5, and 10.1%, respectively. Approximately 10% of deaths also occurred from wk 20 to 21 after the last farrowing. Death interval in parity > or =5 was the shortest among all parity groups (49.2 d; P < 0.05). Mortality risks in parities 0 and 1 were 1.44 and 1.83%, respectively. As parity increased from 2 to > or =5, mortality risk increased from 1.63 to 5.90%. Herd factors (greater herd mortality, less herd productivity, and smaller herd size) were associated with greater mortality risk in individual females in parity 0 to > or =5, parity 4 and > or =5, and parity 1 to 4, respectively (P < 0.05). In conclusion, females in peripartum periods, gilts, and high-parity sows are at a greater risk of dying. Increased care should be implemented for prefarrowing females and early-lactating sows.

Entities:  

Mesh:

Year:  2008        PMID: 18567721     DOI: 10.2527/jas.2008-1047

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  9 in total

1.  Sow removal in a commercial pig herd in Zimbabwe.

Authors:  Lawrence Masaka; Marvelous Sungirai; Casper Nyamukanza; Chido Bhondai
Journal:  Trop Anim Health Prod       Date:  2014-02-20       Impact factor: 1.559

2.  Frequency of removal reasons of sows in Southeastern Mexico.

Authors:  José C Segura-Correa; Enrique Ek-Mex; Alejandro Alzina-López; Victor M Segura-Correa
Journal:  Trop Anim Health Prod       Date:  2011-04-12       Impact factor: 1.559

3.  Welfare of pigs on farm.

Authors:  Søren Saxmose Nielsen; Julio Alvarez; Dominique Joseph Bicout; Paolo Calistri; Elisabetta Canali; Julian Ashley Drewe; Bruno Garin-Bastuji; Jose Luis Gonzales Rojas; Gortázar Schmidt; Mette Herskin; Virginie Michel; Miguel Ángel Miranda Chueca; Olaf Mosbach-Schulz; Barbara Padalino; Helen Clare Roberts; Karl Stahl; Antonio Velarde; Arvo Viltrop; Christoph Winckler; Sandra Edwards; Sonya Ivanova; Christine Leeb; Beat Wechsler; Chiara Fabris; Eliana Lima; Olaf Mosbach-Schulz; Yves Van der Stede; Marika Vitali; Hans Spoolder
Journal:  EFSA J       Date:  2022-08-25

Review 4.  Factors for improving reproductive performance of sows and herd productivity in commercial breeding herds.

Authors:  Yuzo Koketsu; Satomi Tani; Ryosuke Iida
Journal:  Porcine Health Manag       Date:  2017-01-09

5.  Structural characterization of piglet producing farms and their sow removal patterns in Finland.

Authors:  Paula Bergman; Camilla Munsterhjelm; Anna-Maija Virtala; Olli Peltoniemi; Anna Valros; Mari Heinonen
Journal:  Porcine Health Manag       Date:  2019-05-31

6.  Causes of Sow Mortality and Risks to Post-Mortem Findings in a Brazilian Intensive Swine Production System.

Authors:  Matheus Saliba Monteiro; Débora Novais Matias; André Pegoraro Poor; Maurício Cabral Dutra; Luisa Zanolli Moreno; Beatriz Martins Parra; Ana Paula Santos Silva; Carlos Emílio Cabrera Matajira; Vasco Túlio de Moura Gomes; Mikaela Renata Funada Barbosa; Maria Inês Zanoli Sato; Andrea Micke Moreno
Journal:  Animals (Basel)       Date:  2022-07-14       Impact factor: 3.231

7.  High-performing farms exploit reproductive potential of high and low prolific sows better than low-performing farms.

Authors:  Satomi Tani; Carlos Piñeiro; Yuzo Koketsu
Journal:  Porcine Health Manag       Date:  2018-07-16

8.  Pathological findings in spontaneously dead and euthanized sows - a descriptive study.

Authors:  Eve Ala-Kurikka; Camilla Munsterhjelm; Paula Bergman; Taina Laine; Henna Pekkarinen; Olli Peltoniemi; Anna Valros; Mari Heinonen
Journal:  Porcine Health Manag       Date:  2019-11-20

9.  Increased age at first-mating interacting with herd size or herd productivity decreases longevity and lifetime reproductive efficiency of sows in breeding herds.

Authors:  Yuzo Koketsu; Ryosuke Iida; Carlos Piñeiro
Journal:  Porcine Health Manag       Date:  2020-02-06
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.