Optimization of monitoring indicators for gastrointestinal parasite resistance in Corriedale sheep

Autores
Cordoba, Marcela Elisabet; Raschia, Maria Agustina; Donzelli, María Valeria; Cetra, Bibiana Maria; Medus, Pablo Daniel; Bonelli, Rita; Poli, Mario Andres; Maizon, Daniel Omar
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Gastrointestinal parasite (GIP) infections are among the primary health-economic constraints in sheep production. In Argentina, Haemonchus contortus is the predominant parasite, and its resistance to anthelmintics poses a challenge for sanitary control. In this context, genetic selection for GIP resistance represents a sustainable alternative. One strategy for genetic evaluation is to characterize the animals’ response to an experimental parasite challenge, recording fecal egg counts (FEC) at different post-infection times. This study aimed to estimate genetic parameters for FEC and to assess whether a reduced sampling frequency while maintaining estimated breeding value (EBV) ranking concordance is feasible. Phenotypic records at 28, 35, and 42 days post-challenge from 939 lambs were analyzed. Univariate models were fitted for the mean ln(FEC+250), considering records taken at three (28−42) and at two (28–35 and 35–42) post-infection times. Models for single-time records were also fitted. Estimated heritabilities were low to moderate, ranging from 0.14 to 0.25. Spearman and concordance correlation coefficients between EBVs based on three and two time points exceeded 0.95, whereas Kendall’s Tau-b coefficients were above 0.82. Correlations with single-time records were lower (0.66–0.90). Additionally, more than 77% of the animals ranked in the top 20% of FEC EBVs derived from three time points remained in the top 20% when EBVs were derived from two time points. These results demonstrate that reducing the sampling frequency with minimal loss of concordance in EBV rankings is feasible, thereby optimizing resources and supporting the implementation of selection programs for GIP resistance in sheep.
Instituto de Genética
Fil: Cordoba, Marcela Elisabet. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Raschia, Maria Agustina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Raschia, Maria Agustina. Universidad Nacional de La Plata. Facultad de Ciencias Médicas; Argentina
Fil: Donzelli, María Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Donzelli, María Valeria. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; Argentina
Fil: Cetra, Bibiana Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; Argentina
Fil: Medus, Pablo Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentina
Fil: Bonelli, Rita. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentina
Fil: Poli, Mario Andres. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Poli, Mario Andres. Universidad del Salvador, Facultad de Ciencias Agrarias y Veterinaria; Argentina
Fil: Maizon, Daniel Omar. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Maizon, Daniel Omar. Universidad Nacional de La Pampa. Facultad de Agronomía; Argentina
Fuente
Small Ruminant Research 259 : 107769 (June 2026)
Materia
Sheep
Parasite Resistance
Egg Counters
Heritability
Genetics
Ovinos
Resistencia de los Parásitos
Contador de Huevos
Heredabilidad
Genética
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/26023
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network_name_str INTA Digital (INTA)
spelling Optimization of monitoring indicators for gastrointestinal parasite resistance in Corriedale sheepCordoba, Marcela ElisabetRaschia, Maria AgustinaDonzelli, María ValeriaCetra, Bibiana MariaMedus, Pablo DanielBonelli, RitaPoli, Mario AndresMaizon, Daniel OmarSheepParasite ResistanceEgg CountersHeritabilityGeneticsOvinosResistencia de los ParásitosContador de HuevosHeredabilidadGenéticaGastrointestinal parasite (GIP) infections are among the primary health-economic constraints in sheep production. In Argentina, Haemonchus contortus is the predominant parasite, and its resistance to anthelmintics poses a challenge for sanitary control. In this context, genetic selection for GIP resistance represents a sustainable alternative. One strategy for genetic evaluation is to characterize the animals’ response to an experimental parasite challenge, recording fecal egg counts (FEC) at different post-infection times. This study aimed to estimate genetic parameters for FEC and to assess whether a reduced sampling frequency while maintaining estimated breeding value (EBV) ranking concordance is feasible. Phenotypic records at 28, 35, and 42 days post-challenge from 939 lambs were analyzed. Univariate models were fitted for the mean ln(FEC+250), considering records taken at three (28−42) and at two (28–35 and 35–42) post-infection times. Models for single-time records were also fitted. Estimated heritabilities were low to moderate, ranging from 0.14 to 0.25. Spearman and concordance correlation coefficients between EBVs based on three and two time points exceeded 0.95, whereas Kendall’s Tau-b coefficients were above 0.82. Correlations with single-time records were lower (0.66–0.90). Additionally, more than 77% of the animals ranked in the top 20% of FEC EBVs derived from three time points remained in the top 20% when EBVs were derived from two time points. These results demonstrate that reducing the sampling frequency with minimal loss of concordance in EBV rankings is feasible, thereby optimizing resources and supporting the implementation of selection programs for GIP resistance in sheep.Instituto de GenéticaFil: Cordoba, Marcela Elisabet. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Raschia, Maria Agustina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Raschia, Maria Agustina. Universidad Nacional de La Plata. Facultad de Ciencias Médicas; ArgentinaFil: Donzelli, María Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Donzelli, María Valeria. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; ArgentinaFil: Cetra, Bibiana Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; ArgentinaFil: Medus, Pablo Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Bonelli, Rita. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Poli, Mario Andres. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Poli, Mario Andres. Universidad del Salvador, Facultad de Ciencias Agrarias y Veterinaria; ArgentinaFil: Maizon, Daniel Omar. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; ArgentinaFil: Maizon, Daniel Omar. Universidad Nacional de La Pampa. Facultad de Agronomía; ArgentinaElsevier2026-05-05T10:04:49Z2026-05-05T10:04:49Z2026-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/26023https://www.sciencedirect.com/science/article/abs/pii/S09214488260006960921-44881879-0941https://doi.org/10.1016/j.smallrumres.2026.107769Small Ruminant Research 259 : 107769 (June 2026)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2023-PD-L01-I087, Caracterización de la diversidad genética de plantas, animales y microorganismos mediante herramientas de genómica aplicada.info:eu-repograntAgreement/INTA/2023-PD-L01-I108, Mejora genética animal en la era de la genómica y la ganadería inteligente: adaptación y resilienciainfo:eu-repograntAgreement/INTA/2023-PD-L06-I115, Resistencia Antimicrobiana y desarrollo de alternativas que minimicen el uso de antibióticos y antiparasitarios para una produccion animal mas sustentableinfo:eu-repograntAgreement/INTA/2019-PT-E6-I513-001, Plataforma de mejoramiento animalinfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-06-04T09:46:22Zoai:localhost:20.500.12123/26023instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-06-04 09:46:22.468INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Optimization of monitoring indicators for gastrointestinal parasite resistance in Corriedale sheep
title Optimization of monitoring indicators for gastrointestinal parasite resistance in Corriedale sheep
spellingShingle Optimization of monitoring indicators for gastrointestinal parasite resistance in Corriedale sheep
Cordoba, Marcela Elisabet
Sheep
Parasite Resistance
Egg Counters
Heritability
Genetics
Ovinos
Resistencia de los Parásitos
Contador de Huevos
Heredabilidad
Genética
title_short Optimization of monitoring indicators for gastrointestinal parasite resistance in Corriedale sheep
title_full Optimization of monitoring indicators for gastrointestinal parasite resistance in Corriedale sheep
title_fullStr Optimization of monitoring indicators for gastrointestinal parasite resistance in Corriedale sheep
title_full_unstemmed Optimization of monitoring indicators for gastrointestinal parasite resistance in Corriedale sheep
title_sort Optimization of monitoring indicators for gastrointestinal parasite resistance in Corriedale sheep
dc.creator.none.fl_str_mv Cordoba, Marcela Elisabet
Raschia, Maria Agustina
Donzelli, María Valeria
Cetra, Bibiana Maria
Medus, Pablo Daniel
Bonelli, Rita
Poli, Mario Andres
Maizon, Daniel Omar
author Cordoba, Marcela Elisabet
author_facet Cordoba, Marcela Elisabet
Raschia, Maria Agustina
Donzelli, María Valeria
Cetra, Bibiana Maria
Medus, Pablo Daniel
Bonelli, Rita
Poli, Mario Andres
Maizon, Daniel Omar
author_role author
author2 Raschia, Maria Agustina
Donzelli, María Valeria
Cetra, Bibiana Maria
Medus, Pablo Daniel
Bonelli, Rita
Poli, Mario Andres
Maizon, Daniel Omar
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Sheep
Parasite Resistance
Egg Counters
Heritability
Genetics
Ovinos
Resistencia de los Parásitos
Contador de Huevos
Heredabilidad
Genética
topic Sheep
Parasite Resistance
Egg Counters
Heritability
Genetics
Ovinos
Resistencia de los Parásitos
Contador de Huevos
Heredabilidad
Genética
dc.description.none.fl_txt_mv Gastrointestinal parasite (GIP) infections are among the primary health-economic constraints in sheep production. In Argentina, Haemonchus contortus is the predominant parasite, and its resistance to anthelmintics poses a challenge for sanitary control. In this context, genetic selection for GIP resistance represents a sustainable alternative. One strategy for genetic evaluation is to characterize the animals’ response to an experimental parasite challenge, recording fecal egg counts (FEC) at different post-infection times. This study aimed to estimate genetic parameters for FEC and to assess whether a reduced sampling frequency while maintaining estimated breeding value (EBV) ranking concordance is feasible. Phenotypic records at 28, 35, and 42 days post-challenge from 939 lambs were analyzed. Univariate models were fitted for the mean ln(FEC+250), considering records taken at three (28−42) and at two (28–35 and 35–42) post-infection times. Models for single-time records were also fitted. Estimated heritabilities were low to moderate, ranging from 0.14 to 0.25. Spearman and concordance correlation coefficients between EBVs based on three and two time points exceeded 0.95, whereas Kendall’s Tau-b coefficients were above 0.82. Correlations with single-time records were lower (0.66–0.90). Additionally, more than 77% of the animals ranked in the top 20% of FEC EBVs derived from three time points remained in the top 20% when EBVs were derived from two time points. These results demonstrate that reducing the sampling frequency with minimal loss of concordance in EBV rankings is feasible, thereby optimizing resources and supporting the implementation of selection programs for GIP resistance in sheep.
Instituto de Genética
Fil: Cordoba, Marcela Elisabet. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Raschia, Maria Agustina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Raschia, Maria Agustina. Universidad Nacional de La Plata. Facultad de Ciencias Médicas; Argentina
Fil: Donzelli, María Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Donzelli, María Valeria. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; Argentina
Fil: Cetra, Bibiana Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; Argentina
Fil: Medus, Pablo Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentina
Fil: Bonelli, Rita. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentina
Fil: Poli, Mario Andres. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Poli, Mario Andres. Universidad del Salvador, Facultad de Ciencias Agrarias y Veterinaria; Argentina
Fil: Maizon, Daniel Omar. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Maizon, Daniel Omar. Universidad Nacional de La Pampa. Facultad de Agronomía; Argentina
description Gastrointestinal parasite (GIP) infections are among the primary health-economic constraints in sheep production. In Argentina, Haemonchus contortus is the predominant parasite, and its resistance to anthelmintics poses a challenge for sanitary control. In this context, genetic selection for GIP resistance represents a sustainable alternative. One strategy for genetic evaluation is to characterize the animals’ response to an experimental parasite challenge, recording fecal egg counts (FEC) at different post-infection times. This study aimed to estimate genetic parameters for FEC and to assess whether a reduced sampling frequency while maintaining estimated breeding value (EBV) ranking concordance is feasible. Phenotypic records at 28, 35, and 42 days post-challenge from 939 lambs were analyzed. Univariate models were fitted for the mean ln(FEC+250), considering records taken at three (28−42) and at two (28–35 and 35–42) post-infection times. Models for single-time records were also fitted. Estimated heritabilities were low to moderate, ranging from 0.14 to 0.25. Spearman and concordance correlation coefficients between EBVs based on three and two time points exceeded 0.95, whereas Kendall’s Tau-b coefficients were above 0.82. Correlations with single-time records were lower (0.66–0.90). Additionally, more than 77% of the animals ranked in the top 20% of FEC EBVs derived from three time points remained in the top 20% when EBVs were derived from two time points. These results demonstrate that reducing the sampling frequency with minimal loss of concordance in EBV rankings is feasible, thereby optimizing resources and supporting the implementation of selection programs for GIP resistance in sheep.
publishDate 2026
dc.date.none.fl_str_mv 2026-05-05T10:04:49Z
2026-05-05T10:04:49Z
2026-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/26023
https://www.sciencedirect.com/science/article/abs/pii/S0921448826000696
0921-4488
1879-0941
https://doi.org/10.1016/j.smallrumres.2026.107769
url http://hdl.handle.net/20.500.12123/26023
https://www.sciencedirect.com/science/article/abs/pii/S0921448826000696
https://doi.org/10.1016/j.smallrumres.2026.107769
identifier_str_mv 0921-4488
1879-0941
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/2023-PD-L01-I087, Caracterización de la diversidad genética de plantas, animales y microorganismos mediante herramientas de genómica aplicada.
info:eu-repograntAgreement/INTA/2023-PD-L01-I108, Mejora genética animal en la era de la genómica y la ganadería inteligente: adaptación y resiliencia
info:eu-repograntAgreement/INTA/2023-PD-L06-I115, Resistencia Antimicrobiana y desarrollo de alternativas que minimicen el uso de antibióticos y antiparasitarios para una produccion animal mas sustentable
info:eu-repograntAgreement/INTA/2019-PT-E6-I513-001, Plataforma de mejoramiento animal
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Small Ruminant Research 259 : 107769 (June 2026)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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