1. bookVolume 14 (2014): Issue 2 (April 2014)
Journal Details
License
Format
Journal
eISSN
2300-8733
First Published
25 Nov 2011
Publication timeframe
4 times per year
Languages
English
access type Open Access

Normalization of Showjumping Competition’s Results

Published Online: 25 Apr 2014
Volume & Issue: Volume 14 (2014) - Issue 2 (April 2014)
Page range: 391 - 403
Received: 22 Apr 2013
Accepted: 01 Jul 2013
Journal Details
License
Format
Journal
eISSN
2300-8733
First Published
25 Nov 2011
Publication timeframe
4 times per year
Languages
English
Abstract

The aim of this study was to verify the newly proposed transformation of penalty points and ranking of showjumping horses for the purpose of genetic evaluation. Genomic information in the transformation of input data was used as well. Data of showjumping competition Global Champions Tour was used. Profit of penalty points was transformed to normally distributed variable using Blom formula (height of obstacles and height of obstacles with single nucleotide polymorphism - SNP effect taken into account). Non-normal distribution was obtained. The rankings of sport horses in competitions were transformed using the Blom formula (height of obstacles taken into account) to normal distribution (tests of normality Kolmogorov-Smirnov (KS) test Pr>D, D 0.011, P>0.150, Cramer-von Mises (CM) test Pr>W-Sq, W-Sq 0.039, P>0.250, Anderson-Darling test (AD) Pr>A-Sq, A-Sq 0.638, P<0.097). Better distributed variable ranking transformed by Blom formula (height of obstacles and SNP effect taken into account) was obtained (KS test Pr>D, D 0.004, P>0.150, CM test Pr>W-Sq, W-Sq 0.004, P>0.250, AD test Pr>A-Sq, A-Sq 0.062, P>0.250). Model where all used fixed effects to equation were applied without any combination of the effects was tested, R2 0.54. Variable ranking was transformed to normal score by Blom formula (height of obstacles was taken into account). In the following model some effects were taken into account in the form of quadratic regression, R2 0.61. Variable ranking was transformed to normal score, the same as in previous model. In the last model we transformed variable ranking to normal score by Blom formula, taking into account height of obstacles and SNP effect. Same effects as in previous model were used, R2 0.60

Keywords

Aldridge L.I., Kelleher D.L., Reilly M., Brophy P.O. (2000). Estimation of the genetic correlation between performances at different levels of showjumping competition in Ireland. J. Anim. Breed. Genet., 117: 65-72.Search in Google Scholar

Bugislaus A.E., Roehe R., Kalm E. (2005). Comparison of two different statistical models considering individual races or racetracks for evaluation of German trotters. Livest. Prod. Sci., 92: 69-76.Search in Google Scholar

Calus M.P.L., Meuwissen, T.H.E.,de Roos A.P.W., Veerkamp R.F. (2007). Accuracy of genomic selection using different methods to define haplotypes. Genetics, 178: 553-561.Search in Google Scholar

Ekiz B., Kocak O. (2005). Phenotypic and genetic parameter estimates for racing traits of Arabian horses in Turkey. J. Anim. Breed. Genet., 122: 349-356.Search in Google Scholar

Foran M.K., Reilly M.P., Kellecher D.L., Langan K.W., Brophy P.O. (1995). Genetic evaluation of show-jumping horses in Ireland using ranks in competition. Proc. 46th Annu. Mtg., European Association for Animal Production (EAAP), Prague, Czech Republic, 4-7.09.1995, p. 351.Gálik B., Bíro D., Juráček M., Šimko M., Vaščáková V., Rolinec M. (2011). The effect of phytoadditives on macroelements digestibility of sport horses. J. Cent. Eur. Agr., 12: 390-397.Search in Google Scholar

Gu J., Orr N., Park S.D., Katz L.M., Sulimova G., Mac Hugh D.E., Hill E.W. (2009). Agenome scan for positive selection in Thoroughbred horses. Plo S One, 4: 1-17, available online http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0005767Search in Google Scholar

Hill E.W., Gu J., Mc Givney B.A., Mac Hugh D.E. (2010). Targets of selection in the Thoroughbred genome contain exercise-relevant gene SNPs associated with elite racecourse performance. Anim. Genet, 41: 56-63.Search in Google Scholar

Janssens S., Geysen D., Vandepitte W. (1997). Genetic parameters for show jumping in Belgian sporthorses. Proc. 48th Annu. Mtg., European Association for Animal Production (EAAP), Vienna, Austria, 25-28.08.1997, p. 5.Search in Google Scholar

Kearsley C.G.S., Woolliams J.A., Coffey M.P., Brotherstone S. (2008). Use of competition data for genetic evaluations of eventing horses in Britain: Analysis of the dressage, showjumping and cross country phases of eventing competition. Livest. Sci., 118: 72-81.Search in Google Scholar

Langlois B., Vrijenhoek T. (2004). Qualification status and estimation of breeding value in French trotters. Livest. Prod. Sci., 89: 187-194.Search in Google Scholar

Misztal I. (2009) SNP_Sim ver. 1.2. Simulation and analyses of genomic SNPdata, University of Georgia.Search in Google Scholar

Osborne J.W. (2002). Notes on the use of data transformations. Practical Assessment, Research & Evaluation, 8: 6, available online http://pareonline.net/getvn.asp?v=8&n=6Search in Google Scholar

Posta J., Komlósi I., Mihók S. (2009 a). Breeding value estimation in the Hungarian Sport Horse population. Vet. J., 181: 19-23.10.1016/j.tvjl.2009.03.00619375365Search in Google Scholar

Posta J., Mihók S., Márkus S., Komlósi I. (2009 b). Analysis of Hungarian sport horse show jumping results using different transformations and models. Arch. Tierzucht, 52: 451-458.10.5194/aab-52-451-2009Search in Google Scholar

Přibyl J., Bolečková J., Haman J., Kott T., Přibylová J., Šimečková M., Vos- trý L., Zavadilová L. (2011). Úprava soustav rovnic pro předpověď genoické plemenné hodnoty (GEPH) jednokrokovou metodou. Praha Uhříněves, Česká republika, Výzkumný ústav živočišné výroby v.v.i., 29 pp.Search in Google Scholar

Přibyl J., Haman J., Kott T., Přibylová J., Šimečková M., Vostrý L., Zavadi - lová L., Čermák V., Růžička Z., Šplíchal J., Verner M., Motyčka J., Vondráše k L. (2012). Single-step prediction of genomic breeding value inasmall dairy cattle population with strong import of foreign genes. Czech J. Anim. Sci., 57: 151-159.Search in Google Scholar

Razali N., Wah Y. (2010). Power comparisons of some selected normality tests. Proc. Regional Conference on Statistical Sciences. Kota Baru, Malaysia, 13-14.06.2010, p. 126.Search in Google Scholar

Reilly M., Foran M.K., Kelleher D.L., Flanagan M.J., Brophy P.O. (1998). Estimation of genetic value of showjumping horses from the ranking of all performances in competition. J. Anim. Breed. Genet., 115: 17-25.Search in Google Scholar

Riecka Z., Candrák J. (2010). The influence of the genomic data on the breeding values estimation in the Slovak Republic. Acta Fytotech. Zootech., 2: 33-35.Search in Google Scholar

Scheiber J., Dickson M. (2007). Normal and Skewed Data. Johannesburg, South Africa, © RADMASTE Centre, 28 pp. Search in Google Scholar

Schröder W., Klostermann A., Stock K.F., Distl O. (2011). Agenome-wide association study for quantitative trait loci of show-jumping in Hanoverian warmblood horses. Anim. Genet., 43: 392-400.Search in Google Scholar

Trakovická A., Gábor M., Miluchová M., Minarovič T., Šťastná D. (2012). Analysis of the Nebulin- Related Anchoring Protein Gene (N-RAP) SNP Polymorphism (C/T) in Slovak Warmblood Horse by PCR-RFLP Method. Anim. Sci. Biotech., 45: 265-268.Search in Google Scholar

Van Raden P.M., Olson K.M., Null D.J., Sargolzaei M., Winters M.,van Kaam J.B.C.H.M. (2012). Reliability increases from combining 50,000- and 777,000-marker genotypes from four countries. Proc. Interbull Annu. Mtg. Cork, Ireland, 28.05-1.06.2012.Search in Google Scholar

Viklund Å., Näsholm A., Strandberg E., Philipsson J. (2010). Effects of long-time series of data on genetic evaluations for performance of Swedish Warmblood riding horses. Animal,11: 1823-1831.Wiggans G.R., Cooper T.A., Van Raden P.M., Olson K.M., Tooker M.E. (2012). Use of the Illumina Bovine3K Bead Chip in dairy genomic evaluation. J. Dairy Sci., 95: 1552-1558.Search in Google Scholar

Zurovacová B., Candrák J., Židek R., Jiskrová I., Buleca J., Zöldág L. (2008). The BLUP-animal model for the estimation of the breeding value of show jumping horses. Magy. Allatorvosok, 130: 651-657.Search in Google Scholar

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