Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep.
ABSTRACT.- Infection by gastrointestinal nematodes (GINs) in sheep is a significant health issue that affects animal welfare and leads to economic losses in the production sector. Genetic selection for parasite resistance has shown promise in improving animal health and productivity. This study aime...
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| Sprog: | engelsk |
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2025
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| Online adgang: | https://ainfo.inia.uy/consulta/busca?b=pc&id=65037&biblioteca=vazio&busca=65037&qFacets=65037 |
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| _version_ | 1868890076914647040 |
|---|---|
| author | VERA, B. |
| author2 | NAVAJAS, E. VAN LIER, E. CARRACELAS, B. PERAZA, P. CIAPPESONI, G. |
| author2_role | author author author author author |
| author_browse | CARRACELAS, B. CIAPPESONI, G. NAVAJAS, E. PERAZA, P. VAN LIER, E. VERA, B. |
| author_facet | VERA, B. NAVAJAS, E. VAN LIER, E. CARRACELAS, B. PERAZA, P. CIAPPESONI, G. |
| author_role | author |
| collection | AINFO |
| dc.creator.none.fl_str_mv | VERA, B. NAVAJAS, E. VAN LIER, E. CARRACELAS, B. PERAZA, P. CIAPPESONI, G. |
| dc.date.none.fl_str_mv | 2025-06-23T18:47:00Z 2025-06-23T18:47:00Z 2025 2025-06-23T18:47:00Z |
| dc.identifier.none.fl_str_mv | https://ainfo.inia.uy/consulta/busca?b=pc&id=65037&biblioteca=vazio&busca=65037&qFacets=65037 |
| dc.language.none.fl_str_mv | en eng |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess Acceso abierto |
| dc.source.none.fl_str_mv | reponame:AINFO instname:Instituto Nacional de Investigación Agropecuaria instacron:Instituto Nacional de Investigación Agropecuaria |
| dc.subject.none.fl_str_mv | Ovis aries FEC Haemonchus contortus SISTEMA GANADERO EXTENSIVO - INIA OVINOS MERINO AUSTRALIANO |
| dc.title.none.fl_str_mv | Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep. |
| dc.type.none.fl_str_mv | Article PublishedVersion info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | ABSTRACT.- Infection by gastrointestinal nematodes (GINs) in sheep is a significant health issue that affects animal welfare and leads to economic losses in the production sector. Genetic selection for parasite resistance has shown promise in improving animal health and productivity. This study aimed to determine if incorporating genomic data into genetic prediction models currently used in Uruguay could improve the accuracy of breeding value estimations for GIN resistance in the Australian Merino breed. This study compared the accuracy of breeding value predictions using the BLUP (Best Linear Unbiased Prediction) and ssGBLUP (single-step genomic BLUP) models on partial and complete data sets, including 32,713 phenotyped and 3238 genotyped animals. The quality of predictions was evaluated using a linear regression method, focusing on 145 rams. The inclusion of genomic data increased the average individual accuracies by 4% for genotyped and phenotyped animals. For animals with genomic and non-phenotyped data, the accuracy improvement reached 8%. Of these, one group of animals that benefited from an ssGBLUP evaluation came from a facility with a strong connection to the informative nucleus and showed an average increase of 20% in their individual accuracy. Additionally, ssGBLUP slightly outperformed BLUP in terms of prediction quality. These findings demonstrate the potential of genomic information to improve the accuracy of breeding value predictions for parasite resistance in sheep. The integration of genomic data, particularly in non-phenotyped animals, offers a promising tool for enhancing genetic selection in Australian Merino sheep to improve resistance to gastrointestinal parasites. © 2025 by the authors. Licensee MDPI, Basel, Switzerland. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | anni_610cdfdf2b4fa125ce9bb8cb09e6775e |
| instacron_str | Instituto Nacional de Investigación Agropecuaria |
| institution | Instituto Nacional de Investigación Agropecuaria |
| instname_str | Instituto Nacional de Investigación Agropecuaria |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | anni |
| network_name_str | oai-lr-anni |
| oai_identifier_str | oai:redi.anii.org.uy:20.500.12381/4986 |
| publishDate | 2025 |
| publishDateSort | 2025 |
| reponame_str | AINFO |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | Acceso abierto |
| spelling | Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep.VERA, B.NAVAJAS, E.VAN LIER, E.CARRACELAS, B.PERAZA, P.CIAPPESONI, G.Ovis ariesFECHaemonchus contortusSISTEMA GANADERO EXTENSIVO - INIAOVINOSMERINO AUSTRALIANOABSTRACT.- Infection by gastrointestinal nematodes (GINs) in sheep is a significant health issue that affects animal welfare and leads to economic losses in the production sector. Genetic selection for parasite resistance has shown promise in improving animal health and productivity. This study aimed to determine if incorporating genomic data into genetic prediction models currently used in Uruguay could improve the accuracy of breeding value estimations for GIN resistance in the Australian Merino breed. This study compared the accuracy of breeding value predictions using the BLUP (Best Linear Unbiased Prediction) and ssGBLUP (single-step genomic BLUP) models on partial and complete data sets, including 32,713 phenotyped and 3238 genotyped animals. The quality of predictions was evaluated using a linear regression method, focusing on 145 rams. The inclusion of genomic data increased the average individual accuracies by 4% for genotyped and phenotyped animals. For animals with genomic and non-phenotyped data, the accuracy improvement reached 8%. Of these, one group of animals that benefited from an ssGBLUP evaluation came from a facility with a strong connection to the informative nucleus and showed an average increase of 20% in their individual accuracy. Additionally, ssGBLUP slightly outperformed BLUP in terms of prediction quality. These findings demonstrate the potential of genomic information to improve the accuracy of breeding value predictions for parasite resistance in sheep. The integration of genomic data, particularly in non-phenotyped animals, offers a promising tool for enhancing genetic selection in Australian Merino sheep to improve resistance to gastrointestinal parasites. © 2025 by the authors. Licensee MDPI, Basel, Switzerland.2025-06-23T18:47:00Z2025-06-23T18:47:00Z20252025-06-23T18:47:00ZArticlePublishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://ainfo.inia.uy/consulta/busca?b=pc&id=65037&biblioteca=vazio&busca=65037&qFacets=65037reponame:AINFOinstname:Instituto Nacional de Investigación Agropecuariainstacron:Instituto Nacional de Investigación Agropecuariaenenginfo:eu-repo/semantics/openAccessAcceso abiertooai:redi.anii.org.uy:20.500.12381/49862026-02-10T17:36:39Z |
| spellingShingle | Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep. VERA, B. Ovis aries FEC Haemonchus contortus SISTEMA GANADERO EXTENSIVO - INIA OVINOS MERINO AUSTRALIANO |
| status_str | publishedVersion |
| title | Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep. |
| title_full | Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep. |
| title_fullStr | Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep. |
| title_full_unstemmed | Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep. |
| title_short | Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep. |
| title_sort | Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep. |
| topic | Ovis aries FEC Haemonchus contortus SISTEMA GANADERO EXTENSIVO - INIA OVINOS MERINO AUSTRALIANO |
| url | https://ainfo.inia.uy/consulta/busca?b=pc&id=65037&biblioteca=vazio&busca=65037&qFacets=65037 |