Sándor Mihók

Breeding value estimation in the Hungarian Sport Horse population.

The aims of this study were to estimate phenotypic and genetic parameters for a range of traits in Hungarian Sport Horses, and to compare several methods of estimating breeding value (BV) in this breed. The analyses were based on the Hungarian Sport Horse Studbook, results of self-performance tests (SPTs) and show-jumping competition results. An SPT comprises subjective judgement of conformation traits, movement analysis traits and free-jumping performance, assessed via ordinal scores. Genetic parameters of SPTs were estimated with an animal model. Different measurements of the competition performance were compared using the same repeatability model. Estimates of BV for sport were made with random regression models using a first-order Legendre polynomial. Heritability was found to increase and permanent environmental variance to decrease continuously with age. BVs can be estimated at different ages and from these a composite BV index can be computed. It is possible to weight BVs for the specific age of a horse.

Random regression model estimation of genetic parameters for show-jumping results of Hungarian Sporthorses

The aim of this study was to estimate the genetic parameters for show-jumping competition performance of Hungarian Sporthorses using a random regression model. There were 21,210 records from 739 horses collected in Hungary between 1996 and 2004. Performance was expressed as shifted Blom normalized ranks and as the difference between fence height and fault points. The random regression model (RRM) included fixed effects for sex, year, location, and obstacle height and random effects for animal, rider and permanent environment. Regressions for the random effects in the RRM were modelled with Legendre polynomials from first to fifth order of fit. The model focused on performance of horses from 4 to 11 years of age, with heterogeneous residual variances considered. The heritabilities were low to moderate for both variables. Genetic and phenotypic correlations between different ages decreased with increasing distance between the ages.

Evaluation of the length of competitive life in Hungarian sport horses

The aim of this study was to analyse the duration of the competitive life of jumping horses in Hungary to assess the potential for genetic evaluation and to get information about the risk factors affecting jumping performance of sport horses. The data set included lifetime performance in jumping competitions for 8475 horses born from 1992 onwards with records between 1996 and 2011 (32.7% were right-censored). Longevity was measured as the number of years spent in the competition. Discrete time survival model included fixed effects of gender, age at first competition, and the time-dependent effect of competition level. All fixed effects were highly significant (p < 0.001). The highest risk of ending the race career was estimated for horses competing in the lowest level (category 1) events. The smallest risk was found in horses competing in the highest category. The culling risk for stallions was 15% higher, for geldings 20% lower when compared to mares. As the age at the first competition result increased, the risk ratio also increased. Risk ratios of horses starting as 8 years old or older were 56% higher than those of 5-year-old horses. The longest time in sport tracks belonged to horses starting their career as 4 years old. Their culling risk was 20% lower than those of 5-year-old horses. The heritability of the length of competitive life was 0.17. Breeding values were predicted for each animals, and 47 showed an accuracy greater than 0.60. The clear benefit of the analysis was shown by comparison of offspring to extreme stallion groups.

Genetic diversity of the Hungarian Gidran horse in two mitochondrial DNA markers

The Gidran is a native Hungarian horse breed that has approached extinction several times. Phylogenetic analysis of two mitochondrial markers (D-loop and cytochrome-b) was performed to determine the genetic characterization of the Gidran for the first time as well as to detect errors in the management of the Gidran stud book. Sequencing of 686 bp of CYTB and 202 bp of the D-loop in 260 mares revealed 24 and 32 haplotypes, respectively, among 31 mare families. BLAST analysis revealed six novel CYTB and four D-loop haplotypes that have not been previously reported. The Gidran mares showed high haplotype (CYTB: 0.8735 ± 0.011; D-loop: 0.9136 ± 0.008) and moderate nucleotide (CYTB: 0.00472 ± 0.00017; D-loop: 0.02091 ± 0.00068) diversity. Of the 31 Gidran mare families, only 15 CYTB (48.4%) and 17 D-loop (54.8%) distinct haplotypes were formed using the two markers separately. Merged markers created 24 (77.4%) mare families, which were in agreement with the mare families in the stud book. Our key finding was that the Gidran breed still possesses high genetic diversity despite its history. The obtained haplotypes are mostly consistent with known mare families, particularly when the two mtDNA markers were merged. Our results could facilitate conservation efforts for preserving the genetic diversity of the Gidran.

Comparison of Different Measurement Variables Based on Hungarian Show Jumping Results

Abstract The aim of the study was to find a possible way to measure the performance of sport horses based on their show jumping results and to estimate the heritability and repeatability values of these performances. The performance was measured with transformation of ranks, taking into account the number of starters at competition and the competition level. The used transformations were logarithmic, square root and an inverse normal transformation known as Blom method. Competitions were categorized into five groups based on their level of difficulty. The level of difficulty of the competitions was used as weighting factors, so performance traits were distinguished being weighted and non-weighted. Show jumping competition results collected between 1996 and 2011 were analysed. The database contained 358342 starts of 10199 horses. Identity number, name and gender of the horse, rider, competition year, the level and location of the competition and ranks were recorded in the database. The used repeatability animal model included fixed effects for age, gender, competition place, year of competition, and random effects for rider, animal and permanent environment effect. Variance components were estimated with VCE-6 software package. The goodness-of-fit of the models was low and moderate (0.09-0.47). Fitting models for weighted traits had better goodness-of-fit value. The best goodness-of-fit values were found in the case of level weighted variables. Heritability (0.02-0.07) and repeatability values (0.09-0.25) were low for each measurement variable.

Genetic analysis of the Hungarian draft horse population using partial mitochondrial DNA D-loop sequencing

Background The Hungarian draft is a horse breed with a recent mixed ancestry created in the 1920s by crossing local mares with draught horses imported from France and Belgium. The interest in its conservation and characterization has increased over the last few years. The aim of this work is to contribute to the characterization of the endangered Hungarian heavy draft horse populations in order to obtain useful information to implement conservation strategies for these genetic stocks. Methods To genetically characterize the breed and to set up the basis for a conservation program, in the present study a hypervariable region of the mitochrondial DNA (D-loop) was used to assess genetic diversity in Hungarian draft horses. Two hundred and eighty five sequences obtained in our laboratory and 419 downloaded sequences available from Genbank were analyzed. Results One hundred and sixty-four haplotypes and thirty-six polymorphic sites were observed. High haplotype and nucleotide diversity values (Hd = 0.954 ± 0.004; π = 0.028 ± 0.0004) were identified in Hungarian population, although they were higher within than among the different populations (Hd = 0.972 ± 0.002; π = 0.03097 ± 0.002). Fourteen of the previously observed seventeen haplogroups were detected. Discussion Our samples showed a large intra- and interbreed variation. There was no clear clustering on the median joining network figure. The overall information collected in this work led us to consider that the genetic scenario observed for Hungarian draft breed is more likely the result of contributions from ‘ancestrally’ different genetic backgrounds. This study could contribute to the development of a breeding plan for Hungarian draft horses and help to formulate a genetic conservation plan, avoiding inbreeding while.