Literature DB >> 29430609

Genetic parameter estimation and implementation of the genetic evaluation for gaits in a breeding program for assisted-therapy in donkeys.

Francisco Javier Navas González1,2, Jordi Jordana Vidal3,4, Jose Manuel León Jurado3,5, Amy Katherine McLean3,6, Gabriela Pizarro Inostroza7,3, Juan Vicente Delgado Bermejo7,3.   

Abstract

Genetic analyses in donkeys are likely to face compromises in terms of sample size and population structure. This study aims at implementing a suitable model to estimate breeding values and genetic parameters for gaits in Andalusian donkeys. Empirical observation revealed that ambling donkeys (showing a slightly uneven, non-isochronous 1-2, 3-4 lateral sequence gait) did not walk (i.e. presented an isochronous, even 1-2-3-4 sequence gait) and vice versa. However, the two donkey groups could trot, equally. In this study, 2700 gait records were registered from 300 donkeys. The sample included 1350 gait records from 169 ambling/trotting donkeys and 1350 gait records from 131 walking/trotting donkeys. Fixed effects included year, season, sex, farm/owner, husbandry system, weather, ground type and appraisers. Weight and age were included as covariates. MTDFREML software was used to estimate (co)variance components, genetic parameters and predict breeding values and their accuracies in both sets, separately. Gaits' heritability ± SE estimates were 0.56 ± 0.155, 0.53 ± 0.317 and 0.67 ± 0.166 for amble, walk and trot, respectively. Genetic correlations were 0.31 ± 0.216, 0.42 ± 0.115 and 0.28 ± 0.178, for amble and walk, amble and trot and walk and trot, respectively. Not all gaits are suitable to treat every human sensomotor condition. We developed a locomotion selection index, assessing the relative loss/gain in index accuracy when each gait modality was excluded to develop different gait specific therapeutic lines to genetically select the best performing donkeys from each gait modality. Our results suggest that gait genetic lines could be developed and may be potential selection criteria to consider in assisted-therapy donkey breeding programs.

Entities:  

Keywords:  Amble; Donkey; Genetic parameters; Restricted maximum likelihood; Trot; Walk

Mesh:

Year:  2018        PMID: 29430609     DOI: 10.1007/s11259-018-9712-6

Source DB:  PubMed          Journal:  Vet Res Commun        ISSN: 0165-7380            Impact factor:   2.459


  6 in total

1.  Estimates of genetic parameters for conformation measures and scores in Finnhorse and Standardbred foals.

Authors:  E Schroderus; M Ojala
Journal:  J Anim Breed Genet       Date:  2010-10       Impact factor: 2.380

2.  Multi-trait animal model estimation of genetic parameters for linear type and gait traits in the Belgian warmblood horse.

Authors:  M Rustin; S Janssens; N Buys; N Gengler
Journal:  J Anim Breed Genet       Date:  2009-10       Impact factor: 2.380

3.  A model to infer the demographic structure evolution of endangered donkey populations.

Authors:  F J Navas; J Jordana; J M León; C Barba; J V Delgado
Journal:  Animal       Date:  2017-05-16       Impact factor: 3.240

4.  Mutations in DMRT3 affect locomotion in horses and spinal circuit function in mice.

Authors:  Lisa S Andersson; Martin Larhammar; Fatima Memic; Hanna Wootz; Doreen Schwochow; Carl-Johan Rubin; Kalicharan Patra; Thorvaldur Arnason; Lisbeth Wellbring; Göran Hjälm; Freyja Imsland; Jessica L Petersen; Molly E McCue; James R Mickelson; Gus Cothran; Nadav Ahituv; Lars Roepstorff; Sofia Mikko; Anna Vallstedt; Gabriella Lindgren; Leif Andersson; Klas Kullander
Journal:  Nature       Date:  2012-08-30       Impact factor: 49.962

5.  Genetic correlations for foal and studbook traits with racing traits and implications for selection strategies in the Finnhorse and Standardbred trotter.

Authors:  M Suontama; J H J van der Werf; J Juga; M Ojala
Journal:  J Anim Breed Genet       Date:  2012-07-04       Impact factor: 2.380

6.  Integration of genomic information into sport horse breeding programs for optimization of accuracy of selection.

Authors:  A M Haberland; U König von Borstel; H Simianer; S König
Journal:  Animal       Date:  2012-09       Impact factor: 3.240

  6 in total

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