Estimation of genetic parameters for the annual earnings at different race distances in young and adult Trotter Horses using a Random Regression Model

Gómez, M. A.; Molina, A.; Menéndez-Buxadera, A.; Valera, M.

doi:10.1016/j.livsci.2010.10.004

Cited by 3 publications

(6 citation statements)

References 24 publications

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“…According to previous studies, RRM is a promising tool because it allows us to estimate the animal's breeding value through all the stages of its trajectory in racing competitions (Gómez et al . ).…”

Section: Discussionmentioning

confidence: 97%

“…This is due not only to the fact that it represents the highest heritability of all analysed racing performances (Gómez et al . , ) as the only direct measure of speed, but it also reflects the speed capacity of the horses when many favourable environmental conditions are taken together, namely the sum of the effects of a number of genetic and environmental factors (Arnason ).…”

Section: Methodsmentioning

confidence: 99%

“…The next model was applied following models described by Gómez et al . (, ):

y = {boldHDR}_{boldi} + {boldS}_{boldl} + {boldC}_{bold0} + \sum_{boldm = bold0}^{{boldq}_{boldf}} β_{kp} λ_{tm} + {false\sum}_{m = 0}^{q_{a}} α_{jp} λ_{tm} + {false\sum}_{m = 0}^{q_{w}} γ_{j^{*} boldp} λ_{tm} + {false\sum}_{m = 0}^{q_{c}} v_{np} λ_{tm} + {bolde}_{boldijklnop}

where y is the observation x of the dependent variable (TPK) recorded at age p of animal j , of sex l, with starting method o in the combinations of hippodrome‐racing date performed at distances t ( HDR i with 599 levels), trainer–driver n , S l (2 sex levels) and C o (2 starting mode levels). The regression of Legendre polynomials (order m = q f = 2) of y on the distances t was also considered as fixed effects.…”

Section: Methodsmentioning

confidence: 99%

“…; Gómez et al . ). It has also been shown that the best animals for sprinting do not have to match the best animals for running long distances (endurance) (Gómez et al .…”

Section: Introductionmentioning

confidence: 97%

“…) or the animal's age (Gómez et al . ), has increased over the last few decades. However, to make a reliable estimate of genetic evaluation, each individual must be assessed in many trotting competitions for their own performance and that of their close relatives, and the breeding stock tested is normally made up of relatively old horses (10–12 years).…”

Section: Introductionmentioning

confidence: 99%

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Quantitative analysis of short‐ and long‐distance racing performance in young and adult horses and association analysis with functional candidate genes in Spanish Trotter horses

Rama

Valera

Membrillo

et al. 2016

J Animal Breeding Genetics

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The association of five candidate genes with sporting performance in young and adult Spanish Trotter horses (STHs) was performed according to a previous selection based on quantitative analysis of the trait time per kilometre (TPK). A total of 334 516 records of TPK from 5958 STHs were used to estimate the estimated breeding values (EBVs) at different age groups (young and adults horses) throughout the range of distances (1600-2700 m) using a bicharacter random regression model. The heritability estimated by distance ranged from 0.16 to 0.40, with a different range for the two age groups. Considering the animals with the best and the worst deregressed EBV, 321 STHs were selected for SNP genotyping in MSTN, COX4I2, PDK4, DMRT3 and CKM genes. An association analysis based on ridge and logistic regression revealed that the young trotters with genotype GG in PDK4 (p < 0.05) and AA of DMRT3 (p < 0.001) SNPs show the best potential in short-distance races, while those carrying the genotype AA in DMRT3 (p < 0.001) and CC in CKM (p < 0.05) genes seem to be the best in long-distance races. Adult trotters with genotype AA in DMRT3 also display greater speed (p < 0.05) and endurance (p < 0.001).

show abstract

Section: Discussionmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

“…The next model was applied following models described by Gómez et al . (, ):

y = {boldHDR}_{boldi} + {boldS}_{boldl} + {boldC}_{bold0} + \sum_{boldm = bold0}^{{boldq}_{boldf}} β_{kp} λ_{tm} + {false\sum}_{m = 0}^{q_{a}} α_{jp} λ_{tm} + {false\sum}_{m = 0}^{q_{w}} γ_{j^{*} boldp} λ_{tm} + {false\sum}_{m = 0}^{q_{c}} v_{np} λ_{tm} + {bolde}_{boldijklnop}

Section: Methodsmentioning

confidence: 99%

“…; Gómez et al . ). It has also been shown that the best animals for sprinting do not have to match the best animals for running long distances (endurance) (Gómez et al .…”

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Quantitative analysis of short‐ and long‐distance racing performance in young and adult horses and association analysis with functional candidate genes in Spanish Trotter horses

Rama

Valera

Membrillo

et al. 2016

J Animal Breeding Genetics

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Early genetic selection of Spanish Trotter Horses by new precocity criteria

Ripollés-Lobo,

Perdomo-González,

Gómez

et al. 2024

Italian Journal of Animal Science

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Comparison of Random Regression Models with Different Order Legendre Polynomials for Genetic Parameter Estimation on Race Completion Speed of Arabian Horses

Önder

Şen

Piwczyński

et al. 2022

Animals

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This work aimed to compare the fitting performance of the random regression models applied to the different order orthogonal Legendre polynomials on the race completion speed (m/s) of Arabian racing horses. Legendre polynomial function for additive genetic, permanent environmental variances and heritability values with the L(2,2), L(2,3), L(3,2) and L(3,3) models (where L(i,j) means L(order of fit for additive genetic effects, order of fit for permanent environmental effects)) was estimated. A total of 233,491 race speed records (m/s) of Arabian horses were taken from the Jockey Club of Turkey between 2005 and 2016. The mean and standard deviation of heritability values were estimated as 0.294 ± 0.0746, 0.285 ± 0.0620, 0.302 ± 0.0767 and 0.290 ± 0.1018 for L(2,2), L(2,3), L(3,2), and L(3,3), respectively. The steady decreasing trend of permanent environmental variances for L(2,2) provided stationery for heritability values. According to Akaike information criterion (AIC) and Bayesian information criterion (BIC) values, the L(2,2) model could be reliably used to estimate heritability values for the racing speed of Arabian horses in the presence of repeated observations.

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Estimation of genetic parameters for the annual earnings at different race distances in young and adult Trotter Horses using a Random Regression Model

Cited by 3 publications

References 24 publications

Quantitative analysis of short‐ and long‐distance racing performance in young and adult horses and association analysis with functional candidate genes in Spanish Trotter horses

Quantitative analysis of short‐ and long‐distance racing performance in young and adult horses and association analysis with functional candidate genes in Spanish Trotter horses

Early genetic selection of Spanish Trotter Horses by new precocity criteria

Comparison of Random Regression Models with Different Order Legendre Polynomials for Genetic Parameter Estimation on Race Completion Speed of Arabian Horses

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