Genetic consistency between gait analysis by accelerometry and evaluation scores at breeding shows for the selection of jumping competition horses

Priest, Bernard Dumont Saint; Chassier, Marjorie; Sabbagh, Margot; Danvy, Sophie

doi:10.1371/journal.pone.0244064

Cited by 11 publications

(10 citation statements)

References 40 publications

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“…We found no significant genetic correlation in the same sample with jumping competition results, except with the PC3 for canter linked to longitudinal activity (Ricard et al, 2020): a higher activity was linked to a worse performance (rg = −0.22, SE 0.10). Therefore, it was rather surprising to find two components genetically moderately linked to functional longevity with a higher absolute correlation.…”

Section: How To Interpret the Correlations?mentioning

confidence: 47%

“…Although principal component analysis of gait variables was already reported in Ricard et al (2020), it is essential for being able to understand the present results. The first three principal components represented 63.9% of the variance for walk, 81.7% for trot, and 88.9% for canter.…”

Section: Principal Component Analysis Of Gaitsmentioning

confidence: 99%

“…According to Ricard et al (2020), each measurement for medium and working gaits was considered as the same repeated genetic trait. Therefore, we retained 3 gait traits: walk, trot, and canter.…”

Section: Gaits Datamentioning

confidence: 99%

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Genomic Correlations Between the Gaits of Young Horses Measured by Accelerometry and Functional Longevity in Jumping Competition

Dugué

Priest²,

Crichan³

et al. 2021

Front. Genet.

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Functional longevity is essential for the well-being of horses and the satisfaction of riders. Conventional selection using longevity breeding values calculated from competition results is not efficient because it takes too long to obtain reliable information. Therefore, the objective was to identify early criteria for selection. We assessed two types of early criteria: gait traits of young horses and QTLs. Thus, our aim was to estimate the genetic correlation between gait traits and longevity and to perform a genome-wide association study (GWAS) for longevity. Measurements of gaits by accelerometry were recorded on 1,477 show jumping horses that were 4 to 5 years old. Gait analysis provided 9 principal components describing trot, canter, and walk. Longevity estimated breeding values (EBVs) for stallions were calculated using a survival analysis of more than 900,000 years of performances by 179,448 show jumping horses born from 1981 onwards. Longevity was measured as the number of years spent in competition. Model included region and month of birth, age at first competition, year, and performance level. Longevity EBVs were deregressed to obtain weighted pseudo-performances for 1,968 stallions. Genomic data were available for 3,658 jumping horses. Seventy-eight percent of the horses measured for gaits and twenty-five percent of those measured for longevity were genotyped. A GWAS of longevity revealed no significant QTLs. Genetic parameters between each of the 9 principal components of the gait variables and longevity were evaluated with a bi-trait animal linear mixed model using single-step GBLUP analysis with the relationship matrix constructed from genomic data and genealogy (24,448 ancestors over four generations). The heritability of the gait traits varied from 0.11 to 0.44. The third principal component for trot (high lateral activity) and the first principal component for canter (high dorsoventral activity and low stride frequency) were moderately genetically correlated with higher longevity: rg = 0.38 (0.15) and 0.28 (0.13), respectively. Our study revealed that functional longevity is a polygenic trait with no major genes. We found new correlations between longevity and gait traits. Before using gait characteristics in a selection plan, these correlations need to be understood better at the biomechanical level.

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Section: How To Interpret the Correlations?mentioning

confidence: 47%

Section: Principal Component Analysis Of Gaitsmentioning

confidence: 99%

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Genomic Correlations Between the Gaits of Young Horses Measured by Accelerometry and Functional Longevity in Jumping Competition

Dugué

Priest²,

Crichan³

et al. 2021

Front. Genet.

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“…AFH was then calculated for each elementary performance. In addition to the two rank-based phenotypes previously described, we constructed a summarized and career-linked trait as used in several countries and/or studbooks [ 16 – 22 ], i.e. the highest level achieved (HL).…”

Section: Methodsmentioning

confidence: 99%

Adjusted fence height: an improved phenotype for the genetic evaluation of show jumping performance in Warmblood horses

et al. 2023

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Background Show jumping is one of the most popular disciplines in the horse sector, which makes success in show jumping competitions an important breeding goal for many studbooks. Therefore, the genetic evaluation of show jumping performance is of major interest and this is the case for two Belgian Warmblood studbooks: the Belgian Warmblood horse and Zangersheide. In this study, first an improved phenotype for show jumping performance was developed, i.e. adjusted fence height based on a new non-arbitrary method to scale ranking and competition level, which are two major components of success in competitions. Second, we assessed the importance of including a rider effect in genetic models for show jumping performance, this effect being under debate in sport horse breeding. Third, genetic models based on elementary performances and one model based on a summarized performance were compared in terms of model fit, heritabilities and the stability of estimated breeding values to define the most suitable one for the genetic evaluation of show jumping performance. Results In this study, more than 600,000 Belgian competition records and almost 81,000 horses were used. Genetic evaluations were developed based on elementary performances (Blom-transformed ranking and adjusted fence height) and on a summarized performance (highest level achieved). Estimated heritabilities of Blom-transformed ranking, adjusted fence height and highest level achieved were 0.09, 0.12 and 0.39, respectively. Including a rider effect improved the models for genetic evaluations. Estimated genetic correlations between the studied models were moderate to high (rg = 0.60–0.99). With the best fit model, the accuracy of the estimated breeding value (EBV) for adjusted fence height reached 0.70 for a larger number of stallions and for stallions that tended to be younger. Conclusions We recommend breeders to implement this new phenotype ‘adjusted fence height’ in breeding programs. It is moderately to highly correlated with Blom-transformed ranking and highest level achieved, a proxy for lifetime success, and is available for selection candidates from an early age onwards.

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“…Second, the genomic revolution implied that high-throughput measurements could be dealt with by animal breeders through a mix of information flow (of genotypes), standardization (of DNA chips), computational power, and new or improved methods such as genomic (G)BLUP and single-step (ss)GBLUP ( VanRaden, 2020 ). Finally, there is now a plethora of new measurements: some are closer to animal biology (e.g., gene transcripts, metagenome, images; Rutkoski et al, 2016 ; Morgante et al, 2020 ; Pérez-Enciso and Steibel, 2021 ) and some are less directly related to biology but can be easily obtained through sensor devices (e.g., spectra, accelerometers; O'Leary et al, 2020 ; Ricard et al, 2020 ; Bittante et al, 2022 ). In addition, recent developments (machine learning in particular) have opened the door to predict, in principle, almost anything from almost anything, which has prompted scholars to use more and more data.…”

mentioning

confidence: 99%

Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes

Legarra

Christensen²

2023

JDS Communications

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Graphical Abstract Summary: The effect of genes on phenotype is mediated by things such as RNA or metabolites. When part of these “omics” can be directly or indirectly measured, a proper modelling of this mediation can be written as 2 nested linear models, which split total variation and total heritability into mediated and not mediated fractions. Based on these partitions, it is possible to predict the accuracy of breeding value prediction using omics. This accuracy is a function on the part of variation explained by omics and on the heritability of the omics measurement.

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Genetic consistency between gait analysis by accelerometry and evaluation scores at breeding shows for the selection of jumping competition horses

Cited by 11 publications

References 40 publications

Genomic Correlations Between the Gaits of Young Horses Measured by Accelerometry and Functional Longevity in Jumping Competition

Genomic Correlations Between the Gaits of Young Horses Measured by Accelerometry and Functional Longevity in Jumping Competition

Adjusted fence height: an improved phenotype for the genetic evaluation of show jumping performance in Warmblood horses

Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes

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