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
MATERIALS and METHODS Eventing results 2000-2006 792 horses, 449 riders Results of Hungarian Equestrian Society Blom transformed ranks Three models 14 categories
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
Model III. all records together, weighting Y = age + sex + breeder + owner + location + year + horse + rider R 2 = 0.63 METHODS
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
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
100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% RESULTS Distribution of number of horses by gender 0.37 0.32 0.36 0.31 0.37 Analysis 0.27 of eventing competition Category 'A' Other categories gelding mare stallion
100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% INTERNATIONAL EQUINE SCIENCE MEETING RESULTS Distribution of number of starts by gender 0.36 0.36 0.34 0.30 0.27 0.37 Category 'A' Other categories gelding mare stallion
RESULTS Effects and their significance levels in Model I. Fix effects Random effects Effects Age Sex Breeder Owner Location Year Rider Animal Significance level 0.1943 0.1677 <0.0001 <0.0001 0.0013 0.8194 <0.0001 0.0320 Estimated variance components for Blom scores in Model I. Rider Animal Rider x Animal Error 0.06756 0.0049892 0.04745 0.66790
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 0.8536 0.0012 0.0013 0.0300 <0.0001 0.3942 0.0302 0.0741 0.0494 Estimated variance components for Blom scores in Model II. Rider Animal Rider x Animal Error 0.07884 0.02849 0.05845 0.67790
RESULTS Effects and their significance levels in Model III. Fix effects Random effects Effects Age Sex Breeder Owner Location Year Rider Animal Significance level <0.0001 <0.0002 <0.0001 <0.0001 <0.0001 <0.0001 <0.0001 <0.0001 Estimated variance components for Blom scores in Model III. Rider Animal Rider x Animal Error 0.46586 0.81619 0.17944 2.35712
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 AT900540000 0,49 0,79-1,18 1,49 16 Alfa PT983790000 0,46 0,83-1,59 1,85 16 Tavaszi Szél AT951380000 0,46 0,85-1,11 1,87 17 Gidran XI (Sovánka) GI98050GI11 0,37 0,86-1,55 1,74 20 Duna Gipsy Lady KB950930000 0,34 1,20-1,77 1,82 18 Haley (e. Jampec) KB960150000 0,27 0,93-1,64 1,28 21 Széplak Szirom KB971070000 0,27 0,63-1,18 1,28 17 My Colt Máté KB952780000 0,13 0,77-1,36 1,28 18 Révész AT902170000 0,11 0,78-1,49 1,49 20 Lógós AT941710000-0,08 0,76-1,49 1,28 17 Fokos Fantom KB961460000-0,14 0,99-1,82 1,49 17 Megint AT950210000-0,38 0,85-1,64 0,74 17 Miguel AT970140000-0,57 0,76-1,80 1,18 18
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 MF952700000 6,78 2,66 2,94 10,50 10 2745 Igéret IM907020000 6,32 2,13 2,80 10,05 12 Tavaszi Szél AT951380000 5,22 2,02 1,82 8,62 10 Melittis AT900540000 4,67 1,09 2,62 7,43 20 My Colt Máté KB952780000 4,62 1,86 1,50 7,28 11 Aurél AT950030000 4,60 1,53 2,34 8,43 12 Mázli MF942180000 4,57 1,56 1,50 6,93 10 4202 Naum-42 IM888620000 4,39 1,45 2,00 6,17 11 Grizzly St.John s MF952970000 4,20 2,01 1,95 8,34 12
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 1,49 5 2972 Justboy 0,24 1,00-1,77 1,82 7 1548 Andor 0,22 0,96-1,89 1,85 7 2077 Duna 0,20 1,03-1,77 1,82 5 2534 Gringo 0,19 0,97-1,64 1,43 5 1861 Hatalom 0,17 0,83-1,95 1,77 11 1624 Gidran IV-21 (XI.tm) 0,15 0,92-1,89 1,77 9 2533 Goliath 0,05 1,16-1,77 1,82 8 1028 Aldato-1 (II.tm.) 0,04 0,54-0,60 0,90 5 2264 Surdut (tm.) 0,02 1,01-1,89 1,71 14 2384 Guarde Royale -0,04 0,94-1,82 1,89 6
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 1,67 7 2394 Déva -0,21 1,14-1,89 1,32 6 2442 Verőcemaros Ozora Árvácska-82-0,23 0,85-1,59 1,71 8 2021 Bűvölő -0,32 0,81-1,80 1,36 6 2040 Hullám-95-0,36 0,80-1,89 1,06 5 2959 Hohenstein II -0,36 1,04-1,85 1,59 5 3001 Koppány -0,40 0,72-1,82 1,03 5 2702 Modern Pleasure -0,40 0,82-1,64 1,55 5 2637 Advent -0,40 0,92-1,95 0,66 7
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 10,82 3 2442 Verőcemaros Ozora Árvácska-82 4,99 3,15 1,29 10,37 3 1624 Gidran IV-21 (XI.tm) 4,94 1,71 2,07 8,84 7 2394 Déva 4,86 1,68 1,80 7,60 4 1028 Aldato-1 (II.tm.) 4,60 1,36 2,36 6,64 3 1861 Hatalom 4,55 1,48 2,62 7,09 5 2264 Surdut (tm.) 4,31 1,80 1,45 8,43 9 2021 Bűvölő 4,27 1,60 1,51 6,57 3 2702 Modern Pleasure 4,04 1,79 1,79 6,85 4 2384 Guarde Royale 3,06 1,23 1,36 5,86 5 2040 Hullám-95 3,01 0,82 1,82 4,71 4 2959 Hohenstein II 2,71 1,20 1,51 3,90 3 2116 Be My Grey 2,23 0,75 1,72 3,54 3
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 5 189 0,37 1624 Gidran IV-21 (XI.tm) 9 146 0,48 2040 Hullám-95 5 146 0,40 3648 Laurenz 5 145 0,49 1028 Aldato-1 (II.tm.) 6 135 0,40 1861 Hatalom 11 126 0,71 2971 Gressini 7 124 0,30 2637 Advent 7 119 0,41 2021 Bűvölő 6 115 0,20 2442 Verőcemaros Ozora Árvácska-82 8 114 0,45 2702 Modern Pleasure 5 113 0,20
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
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