Challenging the selection for consistency in the rank of endurance competitions
Abstract Background Control of the environmental variability by genetic selection offers possibilities for new selection objectives for productive traits. This methodology aims at reducing heterogeneity in productive traits and has been applied to several traits and species for which animal homogene...
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Format: | Article |
Language: | deu |
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BMC
2020-04-01
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Series: | Genetics Selection Evolution |
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Online Access: | http://link.springer.com/article/10.1186/s12711-020-00539-5 |
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author | Isabel Cervantes Loys Bodin Mercedes Valera Antonio Molina Juan Pablo Gutiérrez |
author_facet | Isabel Cervantes Loys Bodin Mercedes Valera Antonio Molina Juan Pablo Gutiérrez |
author_sort | Isabel Cervantes |
collection | DOAJ |
description | Abstract Background Control of the environmental variability by genetic selection offers possibilities for new selection objectives for productive traits. This methodology aims at reducing heterogeneity in productive traits and has been applied to several traits and species for which animal homogeneity is profitable. In horse breeding programmes, rank in competitions is a common selection objective but has been challenging to model. In this study, the parameters of environmental variability for the rank of a horse were computed to analyse the capability of a horse to maintain the best ranking across competitions that consist of long-distance races in which the adapted physical condition of the horse is essential. The genetic component of the environmental variance for the rank in endurance competitions was evaluated, which resulted in proposing a new transformation of horse scores in competitions. Results Homogeneous and heterogeneous variance models were compared by assaying three random effects that affect both the rank and its variability, using endurance ride data consisting of 2863 records. The pedigree relationship matrix contained 5931 animals. The rank trait was transformed into a normalized variable to prevent false estimates of the genetic correlation by inappropriate artificial skewness. The models included the number of participants in the race, sex, and age as systematic effects. The rider, the rider-horse interaction, or an environmental permanent effect were tested as random effects, in addition to additive genetic and residual effects. The models were analysed using the GSEVM program. Estimates of heritability for rank ranged from 0.12 to 0.15. The heterogeneous variance model that fitted the rider was assessed as the best model based on the deviance information criterion. Estimates of genetic variance for rank variability ranged from 0.12 to 0.13. The genetic correlation between the rank and its environmental variability was low and did not differ from 0. Conclusions These results offer an opportunity to select animals for canalization by reducing the variability of race results and achieving the best positions, which could be a new selection objective by weighting estimated breeding values for rank and its variability in a selection index. |
first_indexed | 2024-12-10T04:28:13Z |
format | Article |
id | doaj.art-75b07d7b430d49f0b50d56ca527ff357 |
institution | Directory Open Access Journal |
issn | 1297-9686 |
language | deu |
last_indexed | 2024-12-10T04:28:13Z |
publishDate | 2020-04-01 |
publisher | BMC |
record_format | Article |
series | Genetics Selection Evolution |
spelling | doaj.art-75b07d7b430d49f0b50d56ca527ff3572022-12-22T02:02:13ZdeuBMCGenetics Selection Evolution1297-96862020-04-015211810.1186/s12711-020-00539-5Challenging the selection for consistency in the rank of endurance competitionsIsabel Cervantes0Loys Bodin1Mercedes Valera2Antonio Molina3Juan Pablo Gutiérrez4Departamento de Producción Animal, Universidad Complutense de MadridGenPhySE, INRAEDepartamento de Ciencias Agro-Forestales, Universidad de SevillaDepartamento de Genética, Universidad de CórdobaDepartamento de Producción Animal, Universidad Complutense de MadridAbstract Background Control of the environmental variability by genetic selection offers possibilities for new selection objectives for productive traits. This methodology aims at reducing heterogeneity in productive traits and has been applied to several traits and species for which animal homogeneity is profitable. In horse breeding programmes, rank in competitions is a common selection objective but has been challenging to model. In this study, the parameters of environmental variability for the rank of a horse were computed to analyse the capability of a horse to maintain the best ranking across competitions that consist of long-distance races in which the adapted physical condition of the horse is essential. The genetic component of the environmental variance for the rank in endurance competitions was evaluated, which resulted in proposing a new transformation of horse scores in competitions. Results Homogeneous and heterogeneous variance models were compared by assaying three random effects that affect both the rank and its variability, using endurance ride data consisting of 2863 records. The pedigree relationship matrix contained 5931 animals. The rank trait was transformed into a normalized variable to prevent false estimates of the genetic correlation by inappropriate artificial skewness. The models included the number of participants in the race, sex, and age as systematic effects. The rider, the rider-horse interaction, or an environmental permanent effect were tested as random effects, in addition to additive genetic and residual effects. The models were analysed using the GSEVM program. Estimates of heritability for rank ranged from 0.12 to 0.15. The heterogeneous variance model that fitted the rider was assessed as the best model based on the deviance information criterion. Estimates of genetic variance for rank variability ranged from 0.12 to 0.13. The genetic correlation between the rank and its environmental variability was low and did not differ from 0. Conclusions These results offer an opportunity to select animals for canalization by reducing the variability of race results and achieving the best positions, which could be a new selection objective by weighting estimated breeding values for rank and its variability in a selection index.http://link.springer.com/article/10.1186/s12711-020-00539-5Genetic parametersHorseCanalizationRanking |
spellingShingle | Isabel Cervantes Loys Bodin Mercedes Valera Antonio Molina Juan Pablo Gutiérrez Challenging the selection for consistency in the rank of endurance competitions Genetics Selection Evolution Genetic parameters Horse Canalization Ranking |
title | Challenging the selection for consistency in the rank of endurance competitions |
title_full | Challenging the selection for consistency in the rank of endurance competitions |
title_fullStr | Challenging the selection for consistency in the rank of endurance competitions |
title_full_unstemmed | Challenging the selection for consistency in the rank of endurance competitions |
title_short | Challenging the selection for consistency in the rank of endurance competitions |
title_sort | challenging the selection for consistency in the rank of endurance competitions |
topic | Genetic parameters Horse Canalization Ranking |
url | http://link.springer.com/article/10.1186/s12711-020-00539-5 |
work_keys_str_mv | AT isabelcervantes challengingtheselectionforconsistencyintherankofendurancecompetitions AT loysbodin challengingtheselectionforconsistencyintherankofendurancecompetitions AT mercedesvalera challengingtheselectionforconsistencyintherankofendurancecompetitions AT antoniomolina challengingtheselectionforconsistencyintherankofendurancecompetitions AT juanpablogutierrez challengingtheselectionforconsistencyintherankofendurancecompetitions |