Sustainable lamb production: Evaluation of factors affecting lamb growth using hierarchical, cross classified and multiple memberships models

Lima, Eliana; Lovatt, Fiona; Green, Martin; Roden, Janet; Davies, Peers; Kaler, Jasmeet

Abstract

© 2019 Elsevier B.V. In light of current concerns about the sustainability of red meat production in a world with increasing global demand for food from animal origin there is a need for a better understanding of factors that influence the growth rate and feed conversion efficiency of animals on commercial farms. The primary objective of this observational study was to use longitudinal data to quantify the simultaneous effects of multiple ewe and lamb factors on lamb growth rate. A secondary aim was to evaluate model structures that specifically account for lamb grouping effects during the growth period and compare these to classical hierarchical growth rate models. A total of 4172 weight recordings from 805 lambs and data on disease events were collected over a 6-month period from a commercial pedigree sheep flock. Three mixed model structures were compared, hierarchical, cross classified and multiple membership, and final estimates determined within a Bayesian framework. The multiple membership structure provided the best model fit and was used for final inference; taking account of the effect of lamb grouping over time provided the best estimates of lamb growth rate. Ewe lameness and mastitis cases had a deleterious impact on lamb growth. Lambs from ewes identified with mastitis during lactation were on average 3.0 (standard error (SE) 1.6) kg lighter during the four month growth period than lambs from unaffected ewes. Lambs from ewes that were not lame during pregnancy were 3.0 (SE 1.2) kg heavier at eight weeks of age than lambs from ewes with a least one lameness case during the same period. Lambs from ewes lame either during the first 4 weeks or between 4–8 weeks of a lamb's life (but not lame during pregnancy) were also significantly heavier at 56 days of age, than lambs reared by ewes that were lame during pregnancy (2.8 (SE 1.2) and 3.4 (SE 1.2) kg respectively). Cases of pneumonia and bacterial arthritis in lambs had a significant negative impact on lamb growth with affected lambs being on average 5.5 (SE 1.1) kg and 2.2 (SE 1.2) kg less than non-affected lambs respectively after the disease event. Prior to a case of lameness or pneumonia, lambs were significantly heavier than unaffected lambs suggesting a possible trade-off between growth and immune function. Overall, the study provides evidence that that a combination of ewe and lamb characteristics and disease events play an important role in determining lamb growth rate and that heavier lambs may be more susceptible to disease.

Citation

Lima, E., Lovatt, F., Green, M., Roden, J., Davies, P., & Kaler, J. (2020). Sustainable lamb production: Evaluation of factors affecting lamb growth using hierarchical, cross classified and multiple memberships models. Preventive Veterinary Medicine, 174, Article 104822. https://doi.org/10.1016/j.prevetmed.2019.104822

• Journal Article Type: Article
• Acceptance Date: Nov 1, 2019
• Online Publication Date: Nov 10, 2019
• Publication Date: Jan 1, 2020
• Deposit Date: Dec 11, 2019
• Publicly Available Date: Nov 11, 2020
• Journal: Preventive Veterinary Medicine
• Print ISSN: 0167-5877
• Electronic ISSN: 1873-1716
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 174
• Article Number: 104822
• DOI: https://doi.org/10.1016/j.prevetmed.2019.104822
• Keywords: Food Animals; Animal Science and Zoology
• Public URL: https://nottingham-repository.worktribe.com/output/3536039
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0167587719303101
• Additional Information: This article is maintained by: Elsevier; Article Title: Sustainable lamb production: Evaluation of factors affecting lamb growth using hierarchical, cross classified and multiple memberships models; Journal Title: Preventive Veterinary Medicine; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.prevetmed.2019.104822; Content Type: article; Copyright: © 2019 Elsevier B.V. All rights reserved.