Literature DB >> 29385481

Risk factors associated with animal mortality in pasture-based, seasonal-calving dairy and beef herds.

S C Ring1,2, J McCarthy3, M M Kelleher3, M L Doherty2, D P Berry1.   

Abstract

Animal mortality is indicative of animal health and welfare standards, which are of growing concern to the agricultural industry. The objective of the present study was to ascertain risk factors associated with mortality at multiple life stages in pasture-based, seasonal-calving dairy and beef herds. Males and females were stratified into seven life stages based on age (0 to 2 d, 3 to 7 d, 8 to 30 d, 31 to 182 d, 183 to 365 d, 366 to 730 d, and 731 to 1,095 d) whereas females with ≥1 calving event were further stratified into five life stages based on cow parity number (1, 2, 3, 4, and 5). Mortality was defined as whether an animal died during each life stage; only animals that either survived the entire duration or died during a life stage were considered. The data, following edits, consisted of 4,404,122 records from 1,358,712 animals. Multivariable logistic regression was used to estimate the logit of the probability of mortality in each life stage separately. The odds of a young animal (i.e., aged ≤ 1,095 d) dying was generally greater if veterinary assistance was required at their birth relative to no assistance (odds ratio [OR]: 3.10 to 31.85), if the animal was a twin relative to a singleton (OR: 1.46 to 2.31) or if the animal was male relative to female (OR: 1.14 to 6.15). Moreover, the odds of a cow (i.e., females with ≥1 calving event) dying were greater when she required veterinary assistance at calving (OR: 2.69 to 7.55) compared with a cow that did not require any assistance, if she produced twin relative to singleton progeny (OR: 1.59 to 2.03) or male relative to female progeny (OR: 1.09 to 1.20). Additionally, the odds of a first or second parity cow dying when she herself had received veterinary assistance at birth were only 0.63 to 0.66 times that of a cow that was provided no assistance at birth. For both young animals and cows, the odds of dying generally increased with herd size, whereas animals residing in expanding herds had lower odds of dying. Results from the present study indicate that the risk factors associated with mortality in pasture-based, seasonal-calving herds are similar to those reported in literature in confinement, nonseasonal-calving herds. Moreover, the present study identifies that these risk factors are similar in both dairy and beef herds, yet the magnitude of the association often differs and also changes with life stage.

Entities:  

Mesh:

Year:  2018        PMID: 29385481      PMCID: PMC6140972          DOI: 10.1093/jas/skx072

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


  57 in total

1.  Associations between herd size, rate of expansion and production, breeding policy and reproduction in spring-calving dairy herds.

Authors:  J G Jago; D P Berry
Journal:  Animal       Date:  2011-08       Impact factor: 3.240

2.  Changes in conception rate, calving performance, and calf health and survival from the use of crossbred Jersey x Holstein sires as mates for Holstein dams.

Authors:  C Maltecca; H Khatib; V R Schutzkus; P C Hoffman; K A Weigel
Journal:  J Dairy Sci       Date:  2006-07       Impact factor: 4.034

3.  Economic merit of crossbred and purebred US dairy cattle.

Authors:  P M VanRaden; A H Sanders
Journal:  J Dairy Sci       Date:  2003-03       Impact factor: 4.034

4.  Herd-level and contextual factors influencing dairy cow mortality in France in 2005 and 2006.

Authors:  D Raboisson; E Cahuzac; P Sans; G Allaire
Journal:  J Dairy Sci       Date:  2011-04       Impact factor: 4.034

Review 5.  Reproductive management of postpartum cows.

Authors:  J F Roche; D Mackey; M D Diskin
Journal:  Anim Reprod Sci       Date:  2000-07-02       Impact factor: 2.145

6.  Inbreeding and crossbreeding parameters for production and fertility traits in Holstein, Montbéliarde, and Normande cows.

Authors:  C Dezetter; H Leclerc; S Mattalia; A Barbat; D Boichard; V Ducrocq
Journal:  J Dairy Sci       Date:  2015-05-14       Impact factor: 4.034

7.  Cow- and herd-level risk factors for on-farm mortality in Midwest US dairy herds.

Authors:  M Q Shahid; J K Reneau; H Chester-Jones; R C Chebel; M I Endres
Journal:  J Dairy Sci       Date:  2015-05-14       Impact factor: 4.034

8.  Death losses for lactating cows in herds enrolled in dairy herd improvement test plans.

Authors:  R H Miller; M T Kuhn; H D Norman; J R Wright
Journal:  J Dairy Sci       Date:  2008-09       Impact factor: 4.034

Review 9.  Invited review: Body condition score and its association with dairy cow productivity, health, and welfare.

Authors:  J R Roche; N C Friggens; J K Kay; M W Fisher; K J Stafford; D P Berry
Journal:  J Dairy Sci       Date:  2009-12       Impact factor: 4.034

10.  Factors associated with serum immunoglobulin levels in beef calves from Alberta and Saskatchewan and association between passive transfer and health outcomes.

Authors:  Cheryl L Waldner; Leigh B Rosengren
Journal:  Can Vet J       Date:  2009-03       Impact factor: 1.008

View more
  13 in total

1.  The achievement of a given carcass specification is under moderate genetic control in cattle.

Authors:  David Kenny; Michelle M Judge; Roy D Sleator; Craig P Murphy; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-06-01       Impact factor: 3.159

2.  Animal-level factors associated with the achievement of desirable specifications in Irish beef carcasses graded using the EUROP classification system.

Authors:  David Kenny; Craig P Murphy; Roy D Sleator; Michelle M Judge; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-07-01       Impact factor: 3.159

3.  Dressing percentage and the differential between live weight and carcass weight in cattle are influenced by both genetic and non-genetic factors1.

Authors:  Jessica M Coyne; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159

4.  Carcass and efficiency metrics of beef cattle differ by whether the calf was born in a dairy or a beef herd.

Authors:  Alan J Twomey; Siobhán C Ring; Noirin McHugh; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-11-01       Impact factor: 3.159

5.  Genetic and non-genetic factors associated with health and vitality traits in beef calves.

Authors:  Tom Condon; Craig Murphy; Roy D Sleator; Michelle M Judge; Siobhan Ring; Donagh P Berry
Journal:  J Anim Sci       Date:  2021-07-01       Impact factor: 3.159

6.  Mortality and Morbidity of Beef Calves in Free-Range Farms in Alentejo, Portugal-A Preliminary Study.

Authors:  Rute Santos; Ana Cachapa; Graça P Carvalho; Carolina B Silva; Laura Hernández; Lina Costa; Luísa S Pereira; Miguel Minas; Helena Vala
Journal:  Vet Med Int       Date:  2019-10-16

7.  The Welfare of Beef Cattle in the Scientific Literature From 1990 to 2019: A Text Mining Approach.

Authors:  Elena Nalon; Barbara Contiero; Flaviana Gottardo; Giulio Cozzi
Journal:  Front Vet Sci       Date:  2021-01-11

8.  Commercial beef farms excelling in terminal and maternal genetic merit generate more gross profit.

Authors:  David N Kelly; K Connolly; P Kelly; A R Cromie; C P Murphy; R D Sleator; D P Berry
Journal:  Transl Anim Sci       Date:  2021-06-09

9.  Mortality-Culling Rates of Dairy Calves and Replacement Heifers and Its Risk Factors in Holstein Cattle.

Authors:  Hailiang Zhang; Yachun Wang; Yao Chang; Hanpeng Luo; Luiz F Brito; Yixin Dong; Rui Shi; Yajing Wang; Ganghui Dong; Lin Liu
Journal:  Animals (Basel)       Date:  2019-09-26       Impact factor: 2.752

10.  Genome wide association study of passive immunity and disease traits in beef-suckler and dairy calves on Irish farms.

Authors:  Dayle Johnston; Robert Mukiibi; Sinéad M Waters; Mark McGee; Carla Surlis; Jennifer C McClure; Matthew C McClure; Cynthia G Todd; Bernadette Earley
Journal:  Sci Rep       Date:  2020-11-04       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.