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Genomic analysis of gaits and racing performance of the French trotter
The aim was to disentangle gait characteristics from other qualities needed for racing performances with a genomic analysis of French trotters (FT). A sample of 1,390 horses were recruited, from which 46% were genotyped with Illumina chip of 54,602 SNPs, 49% with Affymetrix chip of 670,806 SNPs and...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898598/ https://www.ncbi.nlm.nih.gov/pubmed/33249655 http://dx.doi.org/10.1111/jbg.12526 |
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author | Ricard, Anne Duluard, Arnaud |
author_facet | Ricard, Anne Duluard, Arnaud |
author_sort | Ricard, Anne |
collection | PubMed |
description | The aim was to disentangle gait characteristics from other qualities needed for racing performances with a genomic analysis of French trotters (FT). A sample of 1,390 horses were recruited, from which 46% were genotyped with Illumina chip of 54,602 SNPs, 49% with Affymetrix chip of 670,806 SNPs and 586 had a completed questionnaire on trotting technique. Racing performances cover the period 1996 to 2018. There were 252,368 FT‐born; 96,617 qualified and 83,962 which participated in a race. After quality control, 377,611 SNPs were retained and imputed. Questionnaire described trotting technique over 13 questions which were summarized, after principal component analysis in 3 traits: pacer, heavy trot/gallop and other defects. GWAS and genomic evaluation were performed using single‐step approach. We found 25 QTL for racing performances and 9 for trotting technique. Only DMRT3 mutation was significant for both traits. To tend to pace avoid the defect at gallop and lead to a better early career for earnings, less percentage of disqualified races at all ages and more harness than under saddle career. This is the portrait of AA genotype at DMRT3. We found 5 other QTL, not linked to gait traits, which might improve selection of genetically independent performance traits of earnings per races and percentage of finished races. For only earnings at different ages and in under saddle or harness races, genomic evaluation remains the best way to predict performances. |
format | Online Article Text |
id | pubmed-7898598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78985982021-03-03 Genomic analysis of gaits and racing performance of the French trotter Ricard, Anne Duluard, Arnaud J Anim Breed Genet Original Articles The aim was to disentangle gait characteristics from other qualities needed for racing performances with a genomic analysis of French trotters (FT). A sample of 1,390 horses were recruited, from which 46% were genotyped with Illumina chip of 54,602 SNPs, 49% with Affymetrix chip of 670,806 SNPs and 586 had a completed questionnaire on trotting technique. Racing performances cover the period 1996 to 2018. There were 252,368 FT‐born; 96,617 qualified and 83,962 which participated in a race. After quality control, 377,611 SNPs were retained and imputed. Questionnaire described trotting technique over 13 questions which were summarized, after principal component analysis in 3 traits: pacer, heavy trot/gallop and other defects. GWAS and genomic evaluation were performed using single‐step approach. We found 25 QTL for racing performances and 9 for trotting technique. Only DMRT3 mutation was significant for both traits. To tend to pace avoid the defect at gallop and lead to a better early career for earnings, less percentage of disqualified races at all ages and more harness than under saddle career. This is the portrait of AA genotype at DMRT3. We found 5 other QTL, not linked to gait traits, which might improve selection of genetically independent performance traits of earnings per races and percentage of finished races. For only earnings at different ages and in under saddle or harness races, genomic evaluation remains the best way to predict performances. John Wiley and Sons Inc. 2020-11-29 2021-03 /pmc/articles/PMC7898598/ /pubmed/33249655 http://dx.doi.org/10.1111/jbg.12526 Text en © 2020 The Authors. Journal of Animal Breeding and Genetics published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Ricard, Anne Duluard, Arnaud Genomic analysis of gaits and racing performance of the French trotter |
title | Genomic analysis of gaits and racing performance of the French trotter |
title_full | Genomic analysis of gaits and racing performance of the French trotter |
title_fullStr | Genomic analysis of gaits and racing performance of the French trotter |
title_full_unstemmed | Genomic analysis of gaits and racing performance of the French trotter |
title_short | Genomic analysis of gaits and racing performance of the French trotter |
title_sort | genomic analysis of gaits and racing performance of the french trotter |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898598/ https://www.ncbi.nlm.nih.gov/pubmed/33249655 http://dx.doi.org/10.1111/jbg.12526 |
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