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Phenotypic Definition Influences Genetic Inference and Predictive Ability for Reining Performance in Quarter Horses
Mário Luiz Santana1, Annaiza Braga Bignardi1
1Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Universidade Federal de Rondonópolis (UFR), Av. dos Estudantes, 5055, Cidade Universitária, Rondonópolis, Mato Grosso, Brazil.
Genetic evaluation of reining performance in Brazilian Quarter Horses was improved using rank-based phenotypes. Blom-transformed ranks (BLOM) offered modest advantages in predictive ability, while within-group ranks (RANK) better reflected observed competitive performance.
Area of Science:
- Animal Genetics
- Equine Science
- Quantitative Genetics
Background:
- Reining performance evaluation is complex due to subjective scoring and competition structure.
- Accurate genetic parameter estimation is crucial for improving reining horse breeding programs.
Purpose of the Study:
- To estimate genetic parameters for reining performance in Brazilian Quarter Horses.
- To compare the impact of two phenotypic definitions (within-group rank and Blom-transformed rank) on genetic inference and predictive ability.
Main Methods:
- Utilized a dataset of 21,165 longitudinal reining performance records from 1,603 Brazilian Quarter Horses.
- Employed random regression models (RRM), specifically cubic RRM, for genetic analysis.
- Compared within-group rank (RANK) and Blom-transformed rank (BLOM) as phenotypic definitions.
Main Results:
- Heritability estimates for reining performance were low and age-dependent, varying from 0.01–0.17 (RANK) and 0.06–0.23 (BLOM).
- Substantial phenotypic variance was attributed to permanent environmental and rider effects.
- BLOM demonstrated superior predictive performance and stronger favorable genetic trends compared to RANK.
Conclusions:
- Both RANK and BLOM are valuable and complementary for the genetic evaluation of reining performance.
- BLOM offers modest advantages in predictive ability and genetic trend estimation.
- RANK effectively represents relative competitive performance on the observed scale.
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