Literature DB >> 29525301

Invited review: Genetics and claw health: Opportunities to enhance claw health by genetic selection.

B Heringstad1, C Egger-Danner2, N Charfeddine3, J E Pryce4, K F Stock5, J Kofler6, A M Sogstad7, M Holzhauer8, A Fiedler9, K Müller10, P Nielsen11, G Thomas12, N Gengler13, G de Jong14, C Ødegård15, F Malchiodi16, F Miglior17, M Alsaaod18, J B Cole19.   

Abstract

Routine recording of claw health status at claw trimming of dairy cattle has been established in several countries, providing valuable data for genetic evaluation. In this review, we examine issues related to genetic evaluation of claw health; discuss data sources, trait definitions, and data validation procedures; and present a review of genetic parameters, possible indicator traits, and status of genetic and genomic evaluations for claw disorders. Different sources of data and traits can be used to describe claw health. Severe cases of claw disorders can be identified by veterinary diagnoses. Data from lameness and locomotion scoring, activity information from sensors, and feet and leg conformation traits are used as auxiliary traits. The most reliable and comprehensive information is data from regular hoof trimming. In genetic evaluation, claw disorders are usually defined as binary traits, based on whether or not the claw disorder was present (recorded) at least once during a defined time period. The traits can be specific disorders, composite traits, or overall claw health. Data validation and editing criteria are needed to ensure reliable data at the trimmer, herd, animal, and record levels. Different strategies have been chosen, reflecting differences in herd sizes, data structures, management practices, and recording systems among countries. Heritabilities of the most commonly analyzed claw disorders based on data from routine claw trimming were generally low, with ranges of linear model estimates from 0.01 to 0.14, and threshold model estimates from 0.06 to 0.39. Estimated genetic correlations among claw disorders varied from -0.40 to 0.98. The strongest genetic correlations were found among sole hemorrhage (SH), sole ulcer (SU), and white line disease (WL), and between digital/interdigital dermatitis (DD/ID) and heel horn erosion (HHE). Genetic correlations between DD/ID and HHE on the one hand and SH, SU, or WL on the other hand were, in most cases, low. Although some of the studies were based on relatively few records and the estimated genetic parameters had large standard errors, there was, with some exceptions, consistency among studies. Various studies evaluate the potential of various data soureces for use in breeding. The use of hoof trimming data is recommended for maximization of genetic gain, although auxiliary traits, such as locomotion score and some conformation traits, may be valuable for increasing the reliability of genetic evaluations. Routine genetic evaluation of direct claw health has been implemented in the Netherlands (2010); Denmark, Finland, and Sweden (joint Nordic evaluation; 2011); and Norway (2014), and other countries plan to implement evaluations in the near future. The Authors. Published by FASS Inc. and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Entities:  

Keywords:  claw disorder; genetic evaluation; genetic parameter

Mesh:

Year:  2018        PMID: 29525301     DOI: 10.3168/jds.2017-13531

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  10 in total

Review 1.  Precision Technologies to Address Dairy Cattle Welfare: Focus on Lameness, Mastitis and Body Condition.

Authors:  Severiano R Silva; José P Araujo; Cristina Guedes; Flávio Silva; Mariana Almeida; Joaquim L Cerqueira
Journal:  Animals (Basel)       Date:  2021-07-30       Impact factor: 3.231

Review 2.  Genetic Improvement in South African Livestock: Can Genomics Bridge the Gap Between the Developed and Developing Sectors?

Authors:  Esté van Marle-Köster; Carina Visser
Journal:  Front Genet       Date:  2018-08-23       Impact factor: 4.599

3.  Quantitative Trait Loci Mapping for Lameness Associated Phenotypes in Holstein-Friesian Dairy Cattle.

Authors:  Enrique Sánchez-Molano; Veysel Bay; Robert F Smith; Georgios Oikonomou; Georgios Banos
Journal:  Front Genet       Date:  2019-10-04       Impact factor: 4.599

4.  Prediction of lameness using automatically recorded activity, behavior and production data in post-parturient Irish dairy cows.

Authors:  G M Borghart; L E O'Grady; J R Somers
Journal:  Ir Vet J       Date:  2021-02-06       Impact factor: 2.146

5.  Prioritisation of animal welfare issues in the UK using expert consensus.

Authors:  Fiona Rioja-Lang; Heather Bacon; Melanie Connor; Cathy Mary Dwyer
Journal:  Vet Rec       Date:  2020-07-05       Impact factor: 2.695

6.  Metabolites Secreted by Bovine Embryos In Vitro Predict Pregnancies That the Recipient Plasma Metabolome Cannot, and Vice Versa.

Authors:  Enrique Gomez; Nuria Canela; Pol Herrero; Adrià Cereto; Isabel Gimeno; Susana Carrocera; David Martin-Gonzalez; Antonio Murillo; Marta Muñoz
Journal:  Metabolites       Date:  2021-03-11

7.  Exploring the Potential Genetic Heterogeneity in the Incidence of Hoof Disorders in Austrian Fleckvieh and Braunvieh Cattle.

Authors:  Barbara Kosińska-Selbi; Tomasz Suchocki; Christa Egger-Danner; Hermann Schwarzenbacher; Magdalena Frąszczak; Joanna Szyda
Journal:  Front Genet       Date:  2020-11-17       Impact factor: 4.599

Review 8.  Unintended consequences of selection for increased production on the health and welfare of livestock.

Authors:  Este van Marle-Köster; Carina Visser
Journal:  Arch Anim Breed       Date:  2021-05-25

9.  Benchmarking Based on Regularly Recorded Claw Health Data of Austrian Dairy Cattle for Implementation in the Cattle Data Network (RDV).

Authors:  Johann Kofler; Marlene Suntinger; Martin Mayerhofer; Kristina Linke; Lorenz Maurer; Alexandra Hund; Andrea Fiedler; Jürgen Duda; Christa Egger-Danner
Journal:  Animals (Basel)       Date:  2022-03-22       Impact factor: 2.752

10.  Development of resilience indicator traits based on daily step count data for dairy cattle breeding.

Authors:  Marieke Poppe; Han A Mulder; Mathijs L van Pelt; Erik Mullaart; Henk Hogeveen; Roel F Veerkamp
Journal:  Genet Sel Evol       Date:  2022-03-14       Impact factor: 4.297

  10 in total

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