Analysis of eventing competition

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Louise Daniel
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2 AIMS of RESEARCH Performance testing Own performance Progeny performance Breeding Anita value Mezei estimation János Posta Sándor Mihók Distribution of number of horses and starts by gender

3 MATERIALS and METHODS Eventing results horses, 449 riders Results of Hungarian Equestrian Society Blom transformed ranks Three models 14 categories

4 Model I. only category A R 2 = 0.47 Y = age + sex + breeder + owner + location + year + horse + rider Model II. other 13 category Y = age + sex + breeder + owner + location + year + Analysis competition of eventing level + horse competition + rider R 2 = 0.55 METHODS

5 Model III. all records together, weighting Y = age + sex + breeder + owner + location + year + horse + rider R 2 = 0.63 METHODS

6 Weighted Blom scores: 3 * Weight + original Blom score Weights belonging to the different competition categories Competition level Weight A (CNC) 0 Anita Mezei B (CNC), CCN, János CCN*, Posta Sándor 1 Mihók CNC* METHODS Analysis C, CNC**,CCI*,CIC* of eventing competition 2 results CNC***,CCI**,CIC** of Hungarian Sporthorses 3 CIC***,CCI*** 4

7 Chi-square test METHODS SAS GLM, SAS VARCOMP procedure Descriptive statistics of Blom scores mean, standard deviation, minimum-, maximum value VCE, PEST (BLUP AM) BV 100 mean, 20 standard deviation

8 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% RESULTS Distribution of number of horses by gender Analysis 0.27 of eventing competition Category 'A' Other categories gelding mare stallion

9 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% INTERNATIONAL EQUINE SCIENCE MEETING RESULTS Distribution of number of starts by gender Category 'A' Other categories gelding mare stallion

10 RESULTS Effects and their significance levels in Model I. Fix effects Random effects Effects Age Sex Breeder Owner Location Year Rider Animal Significance level < < < Estimated variance components for Blom scores in Model I. Rider Animal Rider x Animal Error

11 RESULTS Effects and their significance levels in Model II. Fix effects Random effects Effects Age Sex Breeder Owner Location Year Comp. Level Rider Animal Significance level < Estimated variance components for Blom scores in Model II. Rider Animal Rider x Animal Error

12 RESULTS Effects and their significance levels in Model III. Fix effects Random effects Effects Age Sex Breeder Owner Location Year Rider Animal Significance level < < < < < < < < Estimated variance components for Blom scores in Model III. Rider Animal Rider x Animal Error

13 Descriptive statistics of Blom scores of horses in case of category A Name of the Horse Identity number Mean Standard deviation Minimum Maximum Number of starts Melittis AT ,49 0,79-1,18 1,49 16 Alfa PT ,46 0,83-1,59 1,85 16 Tavaszi Szél AT ,46 0,85-1,11 1,87 17 Gidran XI (Sovánka) GI98050GI11 0,37 0,86-1,55 1,74 20 Duna Gipsy Lady KB ,34 1,20-1,77 1,82 18 Haley (e. Jampec) KB ,27 0,93-1,64 1,28 21 Széplak Szirom KB ,27 0,63-1,18 1,28 17 My Colt Máté KB ,13 0,77-1,36 1,28 18 Révész AT ,11 0,78-1,49 1,49 20 Lógós AT ,08 0,76-1,49 1,28 17 Fokos Fantom KB ,14 0,99-1,82 1,49 17 Megint AT ,38 0,85-1,64 0,74 17 Miguel AT ,57 0,76-1,80 1,18 18

14 Descriptive statistics of weighted Blom scores of horses in case of contracted categories Name of the Horse Identity number Mean Standard deviation Minimum Maximum Number of starts 134 Napfény MF ,78 2,66 2,94 10, Igéret IM ,32 2,13 2,80 10,05 12 Tavaszi Szél AT ,22 2,02 1,82 8,62 10 Melittis AT ,67 1,09 2,62 7,43 20 My Colt Máté KB ,62 1,86 1,50 7,28 11 Aurél AT ,60 1,53 2,34 8,43 12 Mázli MF ,57 1,56 1,50 6, Naum-42 IM ,39 1,45 2,00 6,17 11 Grizzly St.John s MF ,20 2,01 1,95 8,34 12

15 Descriptive statistics of Blom scores of sires in case of category A Name of the sire Mean Standard deviation Minimum Maximum Number of progenies 3648 Laurenz 0,30 0,85-1,13 1, Justboy 0,24 1,00-1,77 1, Andor 0,22 0,96-1,89 1, Duna 0,20 1,03-1,77 1, Gringo 0,19 0,97-1,64 1, Hatalom 0,17 0,83-1,95 1, Gidran IV-21 (XI.tm) 0,15 0,92-1,89 1, Goliath 0,05 1,16-1,77 1, Aldato-1 (II.tm.) 0,04 0,54-0,60 0, Surdut (tm.) 0,02 1,01-1,89 1, Guarde Royale -0,04 0,94-1,82 1,89 6

16 Descriptive statistics of Blom scores of sires in case of category A Name of the sire Mean Standard deviation Minimum Maximum Number of progenies 2971 Gressini -0,04 0,80-1,55 1, Déva -0,21 1,14-1,89 1, Verőcemaros Ozora Árvácska-82-0,23 0,85-1,59 1, Bűvölő -0,32 0,81-1,80 1, Hullám-95-0,36 0,80-1,89 1, Hohenstein II -0,36 1,04-1,85 1, Koppány -0,40 0,72-1,82 1, Modern Pleasure -0,40 0,82-1,64 1, Advent -0,40 0,92-1,95 0,66 7

17 Descriptive statistics of Blom scores of sires in case of contracted categories Name of the sire Mean Standard deviation Minimum Maximum Number of progenies 2077 Duna 5,31 2,35 1,95 10, Verőcemaros Ozora Árvácska-82 4,99 3,15 1,29 10, Gidran IV-21 (XI.tm) 4,94 1,71 2,07 8, Déva 4,86 1,68 1,80 7, Aldato-1 (II.tm.) 4,60 1,36 2,36 6, Hatalom 4,55 1,48 2,62 7, Surdut (tm.) 4,31 1,80 1,45 8, Bűvölő 4,27 1,60 1,51 6, Modern Pleasure 4,04 1,79 1,79 6, Guarde Royale 3,06 1,23 1,36 5, Hullám-95 3,01 0,82 1,82 4, Hohenstein II 2,71 1,20 1,51 3, Be My Grey 2,23 0,75 1,72 3,54 3

18 Descriptive statistics of Blom scores of sires in case of contracted categories Name of the sire Total number of progenies Breeding value Realibility 2534 Gringo , Gidran IV-21 (XI.tm) , Hullám , Laurenz , Aldato-1 (II.tm.) , Hatalom , Gressini , Advent , Bűvölő , Verőcemaros Ozora Árvácska , Modern Pleasure ,20

19 Discussion greater stallion ratio in higher categories weighted Blom scores rider effect animal effect Heritability 0.27 more Anita progenies Mezei needed János Posta Sándor Mihók more starts needed

20 Thank You!

Comparison of different measurement variables based on Hungarian show jumping results* *

Ann. Anim. Sci., Vol. 15, No. 1 (2015) 177 183 DOI: 10.2478/aoas-2014-0063 Comparison of different measurement variables based on Hungarian show jumping results* * Anita Rudiné Mezei, János Posta, Sándor