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Designing an early selection morphological linear traits index for dressage in the Pura Raza Español horse

Published online by Cambridge University Press:  14 November 2016

M. J. Sánchez-Guerrero*
Affiliation:
Departamento de Ciencias Agro-Forestales, Universidad de Sevilla, Ctra. Utrera km 1, 41013 Sevilla, Spain
I. Cervantes
Affiliation:
Departamento de Producción Animal. Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, 28040 Madrid, Spain
A. Molina
Affiliation:
Departamento de Genética, Universidad de Córdoba, Ctra. Madrid-Cadiz Km.396, 14071 Córdoba, Spain
J. P. Gutiérrez
Affiliation:
Departamento de Producción Animal. Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, 28040 Madrid, Spain
M. Valera
Affiliation:
Departamento de Ciencias Agro-Forestales, Universidad de Sevilla, Ctra. Utrera km 1, 41013 Sevilla, Spain
*
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Abstract

Making a morphological pre-selection of Pura Raza Español horses (PRE) for dressage is a challenging task within its current breeding program. The aim of our research was to design an early genetic selection morphological linear traits index to improve dressage performance, using 26 morphological linear traits and six dressage traits (walk, trot, canter, submission, general impression – partial scores – and total score) as selection criteria. The data set included morphological linear traits of 10 127 PRE (4159 males and 5968 females) collected between 2008 and 2013 (one record per horse) and 19 095 dressage traits of 1545 PRE (1476 males and 69 females; 12.4 records of average) collected between 2004 and 2014. A univariate animal model was applied to predict the breeding values (PBV). A partial least squares regression analysis was used to select the most predictive morphological linear traits PBV on the dressage traits PBV. According to the Wold Criterion, the 13 morphological linear traits (width of head, head–neck junction, upper neck line, neck–body junction, width of chest, angle of shoulder, lateral angle of knee, frontal angle of knee, cannon bone perimeter, length of croup, angle of croup, ischium–stifle distance and lateral hock angle) most closely related to total score PBV, partial scores PBV and gait scores PBV (walk, trot and canter) were selected. A multivariate genetic analysis was performed among the 13 morphological linear traits selected and the six dressage traits to estimate the genetic parameters. After it, the selection index theory was used to compute the expected genetic response using different strategies. The expected genetic response of total score PBV (0.76), partial scores PBV (0.04) and gait scores PBV (0.03) as selection objectives using morphological linear traits PBV as criteria selection were positive, but lower than that obtained using dressage traits PBV (1.80, 0.16 and 0.14 for total score PBV, partial scores PBV and gait scores PBV) or dressage traits PBV and morphological linear traits PBV (2.97, 0.16 and 0.15 for total score PBV, partial scores PBV and gait scores PBV), as selection criteria. This suggests that it is possible to preselect the PRE without dressage traits PBV using as selection criteria the morphological linear traits PBV, but the expected genetic response will be lower.

Type
Research Article
Copyright
© The Animal Consortium 2016 

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References

Amer, PR, Simm, G, Keane, MG, Diskin, MG and Wickham, BW 2001. Breeding objectives for beef cattle in Ireland. Livestock Production Science 67, 223239.Google Scholar
Back, W, Schamhardt, HC and Barneveld, A 1996. The influence of conformation on fore and hind limb kinematics of the trotting Dutch Warmblood horse. Pferdeheilkunde 12, 647650.CrossRefGoogle Scholar
Bakhtiari, J and Heshmat, G 2009. Estimation of genetic parameters of conformation traits in Iranian Thoroughbred horses. Livestock Science 123, 116120.Google Scholar
Becker, AC, Stock, KF and Distl, O 2011. Genetic correlations between free movement and movement under rider in performance tests of German Warmblood horses. Livestock Science 142, 245252.Google Scholar
Becker, AC, Stock, KF and Distl, O 2012. Genetic analyses of new movement traits using detailed evaluations of warmblood foals and mares. Journal Animal Breeding Genetics 129, 390401.Google Scholar
Belloy, E and Bathe, AP 1996. The importance of standardising the evaluation of conformation in the horse. Equine Veterinary Journal 28, 429430.Google Scholar
Biau, S and Barrey, E 2004. Relationship between stride characteristics and scores in dressage tests. Pferdeheilkunde 20, 140144.Google Scholar
Byrne, TJ, Amer, PR, Fennessy, PF, Cromie, AR, Keady, TWJ, Hanrahan, JP, McHugh, MP and Wickham, BW 2010. Breeding objectives for sheep in Ireland: a bio-economic approach. Livestock Science 132, 135144.Google Scholar
Colombani, C, Croiseau, P, Fritz, S, Guillaume, F, Legarra, A, Ducrocq, V and Robert-Granié, C 2012. A comparison of partial least squares (PLS) and sparse PLS regressions in genomic selection in French dairy cattle. Journal Dairy Science 95, 21202131.Google Scholar
Ducro, BJ, Bovenhuis, H and Back, W 2009. Heritability of foot conformation and its relationship to sports performance in a Dutch Warmblood horse population. Equine Veterinary Journal 41, 139143.Google Scholar
Ducro, BJ, Koenen, EPC, van Tartwijk, JMFM and Bovenhuis, H 2007. Genetic relations of movement and free-jumping traits with dressage and show-jumping performance in competition of Dutch Warmblood horses. Livestock Science 107, 227234.CrossRefGoogle Scholar
Duensing, J, Stock, KF and Krieter, J 2014. Implementation and prospects of linear profiling in the Warmblood horse. Journal Equine Veterinary Science 34, 360368.Google Scholar
Groeneveld, E, Kovac, M and Mielenz, N 2010. VCE. User’s guide and reference manual version 6.0. Institute of Farm Animal Genetics, Mariensee, Germany.Google Scholar
Gutiérrez, JP, Cervantes, I, Pérez-Cabal, MA, Burgos, A and Morante, R 2014. Weighting fibre and morphological traits in a genetic index for an alpaca breeding programme. Animal 8, 360369.CrossRefGoogle Scholar
Hazel, L and Lush, J 1943. The efficiency of three methods of selection. Journal of Heredity 33, 393399.Google Scholar
Holmström, M 2001. The effects of conformation. In Equine locomotion (ed. H Clayton and C Saunders), pp. 281295. Elsevier Health Sciences, London, United Kingdom.Google Scholar
Koenen, EPC, van Veldhuizen, AE and Brascamp, EW 1995. Genetic parameters of linear scored conformation traits and their relation to dressage and show-jumping performance in the Dutch Warmblood riding horse population. Livestock Production Science 43, 8594.Google Scholar
Leleu, C, Cotrel, C and Barrey, E 2005. Relationships between biomechanical variables and race performance in French Standardbred trotters. Livestock Production Science 92, 3946.Google Scholar
Mantovani, R, Sartori, C and Pigozzi, G 2013. Retrospective and statistical analysis of breeding management on the Italian Heavy Draught Horse breed. Animal 7, 10531059.Google Scholar
Martinez, V, Kause, A, Mäntysaari, E and Mäki-Tanila, A 2006. The use of alternative breeding schemes to enhance genetic improvement in rainbow trout (Oncorhynchus mykiss): I. One-stage selection. Aquaculture 254, 182194.Google Scholar
Miglior, F, Muir, BL and Van Doormaal, BJ 2005. Selection indices in Holstein cattle of various countries. Journal Dairy Science 88, 12551263.Google Scholar
Moore, J 2010. General biomechanics: the horse as a biological machine. Journal Equine Veterinary Science 30, 379383.Google Scholar
Moser, G, Tier, B, Crump, RE, Khatkar, MS and Raadsma, HW 2009. A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers. Genetic Selection Evolution 41, 56.Google Scholar
Olsson, E, Näsholm, A, Strandberg, E and Philipsson, J 2008. Use of field records and competition results in genetic evaluation of station performance tested Swedish Warmblood stallions. Livestock Science 117, 287297.CrossRefGoogle Scholar
Posta, J, Komlósi, I and Mihók, S 2010. Genetic parameters of Hungarian sport horse. Mare performance tests. Animal Science Paper Reports 28, 373380.Google Scholar
Saastamoinen, MA and Barrey, E 2000. Genetics of conformation, locomotion and physiological traits. In Genetic horse (ed. AT Bowling and A Ruvinsky), pp. 439472. CABI Publ, London, United Kingdom.CrossRefGoogle Scholar
Sánchez, MJ, Cervantes, I, Valera, M and Gutiérrez, JP 2014. Modelling genetic evaluation for dressage in Pura Raza Español horses with focus on the rider effect. Journal Animal Breeding Genetics 131, 395402.Google Scholar
Sánchez, MJ, Gómez, MD, Molina, A and Valera, M 2013. Genetic analyses for linear conformation traits in Pura Raza Español horses. Livestock Science 157, 5764.Google Scholar
Sánchez, MJ, Molina, A, Gómez, MD, Peña, F and Valera, M 2016. Relationship between morphology and performance: signature of mass-selection in Pura Raza Español horses. Livestock Science 185, 148155.Google Scholar
SAS Institute Inc 2005. Sas/statistical users guide for personal computer. SAS/Genetics TM 9.1.3, Cary, NC, USA.Google Scholar
Schroderus, E and Ojala, M 2010. Estimates of genetic parameters for conformation measures and scores in Finnhorse and Standardbred foals. Journal Animal Breeding Genetics 127, 395403.Google Scholar
Vicente, AA, Carolino, N, Ralao-Duarte, J and Gama, LT 2014. Selection for morphology, gaits and functional traits in Lusitano horses: II. Fixed effects, genetic trends and selection in retrospect. Livestock Science 164, 1325.Google Scholar
Viklund, Å, Näsholm, A, Strandberg, E and Philipsson, J 2011. Genetic trends for performance of Swedish Warmblood horses. Livestock Science 141, 113122.Google Scholar
Wallin, L, Strandberg, E and Philipsson, J 2003. Genetic correlations between field test results of Swedish Warmblood Riding Horses as 4-year-olds and lifetime performance results in dressage and show jumping. Livestock Production Science 82, 6171.Google Scholar
Wold, S 1994. PLS for multivariate linear modeling QSAR: chemometric methods in molecular design. In Methods and Principles in Medicinal Chemistry (ed. H van de Waterbeemd), pp. 195218. VCH, Weinheim, Germany.Google Scholar
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