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Sánchez-Guerrero MJ, Ripollés-Lobo M, Bartolomé E, Perdomo-González DI, Valera M. The Relevance of the Expected Value of the Proportion of Arabian Genes in Genetic Evaluations for Eventing Competitions. Animals (Basel) 2023; 13:1973. [PMID: 37370483 DOI: 10.3390/ani13121973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/24/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023] Open
Abstract
The Arabian horse is a generally reliable sport horse, and continues to be a remarkable endurance horse, so the relevance of the expected value of the proportion of Arabian genes (EV%AG) in horses participating in eventing could be a relevant factor. A total of 1089 horses participating in eventing (8866 records) were used. A GLM revealed that the EV%AG was significant in dressage, show jumping and cross-country. A BLUP genetic evaluation was computed with five genetic models (without the EV%AG (0) using as a covariate (A), as a fixed effect (B), with variance heterogeneity, and in genetic groups without (C) and with (D)). Dressage heritability ranged from 0.103 to 0.210, show jumping ranged from 0.117 to 0.203 and cross-country ranged from 0.070 to 0.099. The lowest DIC value was used as a criterion of fitness. The best fits (those which included variance heterogeneity) showed fewer than two points of difference in DIC values. The highest average estimated breeding value in dressage, show jumping and cross-country was found for horses with an expected value of the proportion of Arabian genes of 0%, ≥1% to <25%, and 100%, respectively. Therefore, the best way to model the EV%AG effect seems to be by considering the variance heterogeneity.
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Affiliation(s)
- María José Sánchez-Guerrero
- Departamento de Agronomía, ETSIA, Universidad de Sevilla (Spain), Carretera de Utrera Km 1, 41013 Sevilla, Spain
| | - María Ripollés-Lobo
- Departamento de Agronomía, ETSIA, Universidad de Sevilla (Spain), Carretera de Utrera Km 1, 41013 Sevilla, Spain
| | - Ester Bartolomé
- Departamento de Agronomía, ETSIA, Universidad de Sevilla (Spain), Carretera de Utrera Km 1, 41013 Sevilla, Spain
| | | | - Mercedes Valera
- Departamento de Agronomía, ETSIA, Universidad de Sevilla (Spain), Carretera de Utrera Km 1, 41013 Sevilla, Spain
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Paim TDP, Hay EHA, Wilson C, Thomas MG, Kuehn LA, Paiva SR, McManus C, Blackburn H. Genomic Breed Composition of Selection Signatures in Brangus Beef Cattle. Front Genet 2020; 11:710. [PMID: 32754198 PMCID: PMC7365941 DOI: 10.3389/fgene.2020.00710] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 06/11/2020] [Indexed: 12/13/2022] Open
Abstract
Cattle breeding routinely uses crossbreeding between subspecies (Bos taurus taurus and Bos taurus indicus) to form composite breeds, such as Brangus. These composite breeds provide an opportunity to identify recent selection signatures formed in the new population and evaluate the genomic composition of these regions of the genome. Using high-density genotyping, we first identified runs of homozygosity (ROH) and calculated genomic inbreeding. Then, we evaluated the genomic composition of the regions identified as selected (selective sweeps) using a chromosome painting approach. The genomic inbreeding increased at approximately 1% per generation after composite breed formation, showing the need of inbreeding control even in composite breeds. Three selected regions in Brangus were also identified as Angus selection signatures. Two regions (chromosomes 14 and 21) were identified as signatures of selection in Brangus and both founder breeds. Five of the 10 homozygous regions in Brangus were predominantly Angus in origin (probability >80%), and the other five regions had a mixed origin but always with Brahman contributing less than 50%. Therefore, genetic events, such as drift, selection, and complementarity, are likely shaping the genetic composition of founder breeds in specific genomic regions. Such findings highlight a variety of opportunities to better control the selection process and explore heterosis and complementarity at the genomic level in composite breeds.
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Affiliation(s)
- Tiago do Prado Paim
- Instituto Federal de Educação, Ciência e Tecnologia Goiano, Iporá, Brazil
- Universidade de Brasília, Brasília, Brazil
| | - El Hamidi A. Hay
- Fort Keogh Livestock and Range Research Laboratory, Agricultural Research Service, United States Department of Agriculture, Miles City, MO, United States
| | - Carrie Wilson
- National Animal Germplasm Program, National Laboratory for Genetic Resources Preservation, Agricultural Research Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Milt G. Thomas
- Department of Animal Sciences, Colorado State University, Fort Collins, CO, United States
| | - Larry A. Kuehn
- United States Meat Animal Research Center, Agricultural Research Service, United States Department of Agriculture, Clay Center, NE, United States
| | - Samuel R. Paiva
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, Brazil
| | | | - Harvey Blackburn
- National Animal Germplasm Program, National Laboratory for Genetic Resources Preservation, Agricultural Research Service, United States Department of Agriculture, Fort Collins, CO, United States
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Li Z, Wu XL, Guo W, He J, Li H, Rosa GJM, Gianola D, Tait RG, Parham J, Genho J, Schultz T, Bauck S. Estimation of genomic breed composition of individual animals in composite beef cattle. Anim Genet 2020; 51:457-460. [PMID: 32239777 DOI: 10.1111/age.12928] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/10/2020] [Indexed: 02/01/2023]
Abstract
Three statistical models (an admixture model, linear regression, and ridge-regression BLUP) and two strategies for selecting SNP panels (uniformly spaced vs. maximum Euclidean distance of SNP allele frequencies between ancestral breeds) were compared for estimating genomic-estimated breed composition (GBC) in Brangus and Santa Gertrudis cattle, respectively. Animals were genotyped with a GeneSeek Genomic Profiler bovine low-density version 4 SNP chip. The estimated GBC was consistent among the uniformly spaced SNP panels, and values were similar between the three models. However, estimated GBC varied considerably between the three methods when using fewer than 10 000 SNPs that maximized the Euclidean distance of allele frequencies between the ancestral breeds. The admixture model performed most consistently across various SNP panel sizes. For the other two models, stabilized estimates were obtained with an SNP panel size of 20 000 SNPs or more. Based on the uniformly spaced 20K SNP panel, the estimated GBC was 69.8-70.5% Angus and 29.5-30.2% Brahman for Brangus, and 63.9-65.3% Shorthorn and 34.7-36.1% Brahman in Santa Gertrudis. The estimated GBC of ancestries for Santa Gertrudis roughly agreed with the pedigree-expected values. However, the estimated GBC in Brangus showed a considerably larger Angus composition than the pedigree-expected value (62.5%). The elevated Angus composition in the Brangus could be due to the mixture of some 1/2 Ultrablack animals (Brangus × Angus). Another reason could be the consequences of selection in Brangus cattle for phenotypes where the Angus breed has advantages.
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Affiliation(s)
- Z Li
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, 68504, USA.,Department of Animal Science, University of Wyoming, Laramie, WY, 82071, USA.,College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, 410128, China
| | - X-L Wu
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, 68504, USA.,Department of Animal Sciences, University of Wisconsin, Madison, WI, 53706, USA
| | - W Guo
- Department of Animal Science, University of Wyoming, Laramie, WY, 82071, USA
| | - J He
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, 68504, USA.,College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, 410128, China
| | - H Li
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, 68504, USA.,Department of Animal Sciences, University of Wisconsin, Madison, WI, 53706, USA
| | - G J M Rosa
- Department of Animal Sciences, University of Wisconsin, Madison, WI, 53706, USA
| | - D Gianola
- Department of Animal Sciences, University of Wisconsin, Madison, WI, 53706, USA
| | - R G Tait
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, 68504, USA
| | - J Parham
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, 68504, USA
| | - J Genho
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, 68504, USA
| | - T Schultz
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, 68504, USA
| | - S Bauck
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, 68504, USA
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