Cargando…

Estimates of Genetic Parameters for Shape Space Data in Franches-Montagnes Horses

SIMPLE SUMMARY: Equine breeding is often based on conformation traits, describing the proportions, shape and joint angles of a horse. These conformations traits are, however, mostly subjectively judged and not measured objectively, affecting the response of selection through lower heritabilities and...

Descripción completa

Detalles Bibliográficos
Autores principales: Gmel, Annik Imogen, Burren, Alexander, Neuditschko, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454882/
https://www.ncbi.nlm.nih.gov/pubmed/36077906
http://dx.doi.org/10.3390/ani12172186
_version_ 1784785457276518400
author Gmel, Annik Imogen
Burren, Alexander
Neuditschko, Markus
author_facet Gmel, Annik Imogen
Burren, Alexander
Neuditschko, Markus
author_sort Gmel, Annik Imogen
collection PubMed
description SIMPLE SUMMARY: Equine breeding is often based on conformation traits, describing the proportions, shape and joint angles of a horse. These conformations traits are, however, mostly subjectively judged and not measured objectively, affecting the response of selection through lower heritabilities and precision. In this study, we measured joint angles, quantified the variation in shape of 608 Swiss Franches-Montagnes (FM) horses and estimated the heritability of these traits. We found that the poll angle had the highest heritability of all joint angles (h(2) = 0.37), and variation in shape describing the type (heavy–light) was also fairly heritable (h(2) = 0.36–0.37). Furthermore, the shape of the FM stallions has clearly evolved towards a lighter type from 1940 to 2018 without stabilisation in recent years, risking the loss of the light draught horse type. Phenotyping based on photographs allowed us to improve the accuracy of certain joint angle traits, and to monitor the conformational development of the FM breed. ABSTRACT: Conformation traits such as joint angles are important selection criteria in equine breeding, but mainly consist of subjective evaluation scores given by breeding judges, showing limited variation. The horse shape space model extracts shape data from 246 landmarks (LM) and objective joint angle measurements from triplets of LM on standardized horse photographs. The heritability was estimated for 10 joint angles (seven were measured twice with different LM placements), and relative warp components of the whole shape, in 608 Franches-Montagnes (FM) horses (480 stallions, 68 mares and 60 geldings born 1940–2018, 3–25 years old). The pedigree data comprised 6986 horses. Genetic variances and covariances were estimated by restricted maximum likelihood model (REML), including the fixed effects birth year, age (linear and quadratic), height at withers (linear and quadratic), as well as postural effects (head, neck, limb position and body alignment), together with a random additive genetic animal component and the residual effect. Estimated heritability varied from 0.08 (stifle joint) to 0.37 (poll). For the shape, the type was most heritable (0.36 to 0.37) and evolved from heavy to light over time. Image-based phenotyping can improve the selection of horses for conformation traits with moderate heritability (e.g., poll, shoulder and fetlock).
format Online
Article
Text
id pubmed-9454882
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-94548822022-09-09 Estimates of Genetic Parameters for Shape Space Data in Franches-Montagnes Horses Gmel, Annik Imogen Burren, Alexander Neuditschko, Markus Animals (Basel) Article SIMPLE SUMMARY: Equine breeding is often based on conformation traits, describing the proportions, shape and joint angles of a horse. These conformations traits are, however, mostly subjectively judged and not measured objectively, affecting the response of selection through lower heritabilities and precision. In this study, we measured joint angles, quantified the variation in shape of 608 Swiss Franches-Montagnes (FM) horses and estimated the heritability of these traits. We found that the poll angle had the highest heritability of all joint angles (h(2) = 0.37), and variation in shape describing the type (heavy–light) was also fairly heritable (h(2) = 0.36–0.37). Furthermore, the shape of the FM stallions has clearly evolved towards a lighter type from 1940 to 2018 without stabilisation in recent years, risking the loss of the light draught horse type. Phenotyping based on photographs allowed us to improve the accuracy of certain joint angle traits, and to monitor the conformational development of the FM breed. ABSTRACT: Conformation traits such as joint angles are important selection criteria in equine breeding, but mainly consist of subjective evaluation scores given by breeding judges, showing limited variation. The horse shape space model extracts shape data from 246 landmarks (LM) and objective joint angle measurements from triplets of LM on standardized horse photographs. The heritability was estimated for 10 joint angles (seven were measured twice with different LM placements), and relative warp components of the whole shape, in 608 Franches-Montagnes (FM) horses (480 stallions, 68 mares and 60 geldings born 1940–2018, 3–25 years old). The pedigree data comprised 6986 horses. Genetic variances and covariances were estimated by restricted maximum likelihood model (REML), including the fixed effects birth year, age (linear and quadratic), height at withers (linear and quadratic), as well as postural effects (head, neck, limb position and body alignment), together with a random additive genetic animal component and the residual effect. Estimated heritability varied from 0.08 (stifle joint) to 0.37 (poll). For the shape, the type was most heritable (0.36 to 0.37) and evolved from heavy to light over time. Image-based phenotyping can improve the selection of horses for conformation traits with moderate heritability (e.g., poll, shoulder and fetlock). MDPI 2022-08-25 /pmc/articles/PMC9454882/ /pubmed/36077906 http://dx.doi.org/10.3390/ani12172186 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gmel, Annik Imogen
Burren, Alexander
Neuditschko, Markus
Estimates of Genetic Parameters for Shape Space Data in Franches-Montagnes Horses
title Estimates of Genetic Parameters for Shape Space Data in Franches-Montagnes Horses
title_full Estimates of Genetic Parameters for Shape Space Data in Franches-Montagnes Horses
title_fullStr Estimates of Genetic Parameters for Shape Space Data in Franches-Montagnes Horses
title_full_unstemmed Estimates of Genetic Parameters for Shape Space Data in Franches-Montagnes Horses
title_short Estimates of Genetic Parameters for Shape Space Data in Franches-Montagnes Horses
title_sort estimates of genetic parameters for shape space data in franches-montagnes horses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454882/
https://www.ncbi.nlm.nih.gov/pubmed/36077906
http://dx.doi.org/10.3390/ani12172186
work_keys_str_mv AT gmelannikimogen estimatesofgeneticparametersforshapespacedatainfranchesmontagneshorses
AT burrenalexander estimatesofgeneticparametersforshapespacedatainfranchesmontagneshorses
AT neuditschkomarkus estimatesofgeneticparametersforshapespacedatainfranchesmontagneshorses