Cow-calf operation management clusters, Argentina

Autores
Vistarop, Vanesa Antonela; Larriestra, Alejandro Jose; Vissio, Claudina; Demateis Llera, Federico; Yaful, Graciela Noemi; Blanco, Carlos Jorge; Bartolomé, Julián A.
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This research was conducted to gain more insight into the productivity and good management practice (GMP) adoption of cow-calf operations in Río Negro Province, Argentina. The objectives were to characterize productivity and management profiles according to GMP adoption, identify herd clusters, and describe the performance and productivity within each specific cluster. A survey sample of 142 out of 1,229 cow-calf and cow-calf to-finish operations from Avellaneda and Pichi Mahuida counties provided data on productivity, herd structure, and GMP adoption. The productivity variables, calves per 100 cows (C/100 c) and calves per 100 ha (C/100 ha), were described statistically using quartiles, and differences by county according to the three-month breeding season adoption were explored. Moreover, herd structure and GMP-relatedvariables were subjected to multiple correspondence analysis (MCA) with complete-link hierarchical cluster analysis to typify the operations. A total of 127 out of 142 farmers provided productivity data, showing median values of 79.00 C/100 c (Q1= 67.00; Q3= 85.00) and 4.58 C/100 ha (Q1= 2.78; Q3= 8.00). A Significant difference was found between three-month and year-round breeding operations for both variables (82.00 C/100 c vs 75.50 C/100 c; P=0.0006 and 5.60 C/100 ha vs 3.97 C/100 ha; P=0.0072). Three farm clusters (Cl) were identified: Cl 1 (low adoption), Cl 2 (moderate transition), and Cl 3 (GMP-oriented). Cl 3 showed the highest GMP adoption level, and a significant difference was found in the C/100 c variable (85.00 C/100 c vs. 76.00 and 80.00 for Cl 1 and 2, respectively; P=0.0233). Cluster profiling enhances our understanding of the cow-calf operation segment and highlights the importance of GMP adoption for improving productivity in cow-calf operations. The results should be interpreted with caution due to the limitations of a cross-sectional study showing correlational associations. Nevertheless, it provides insights for designing science-based and targeted interventions to improve the performance of the beef cattle industry in Río Negro, Argentina, and may be the basis for prospective or interventions studies in the future.
Fil: Vistarop, Vanesa Antonela. Universidad Nacional de Río Negro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Larriestra, Alejandro Jose. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Patología Animal; Argentina. Universidad Nacional de Villa María; Argentina
Fil: Vissio, Claudina. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Patología Animal; Argentina. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina
Fil: Demateis Llera, Federico. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Yaful, Graciela Noemi. Universidad Nacional de Río Negro; Argentina
Fil: Blanco, Carlos Jorge. Universidad de Buenos Aires; Argentina
Fil: Bartolomé, Julián A.. Universidad Nacional de La Pampa; Argentina
Materia
clusters
cow-calf operation
beef cattle
good management practices
survey
typification
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/275132
Acceder
id CONICETDig_c888d98b3627896999b56322ccd43cf5
oai_identifier_str oai:ri.conicet.gov.ar:11336/275132
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Cow-calf operation management clusters, ArgentinaVistarop, Vanesa AntonelaLarriestra, Alejandro JoseVissio, ClaudinaDemateis Llera, FedericoYaful, Graciela NoemiBlanco, Carlos JorgeBartolomé, Julián A.clusterscow-calf operationbeef cattlegood management practicessurveytypificationhttps://purl.org/becyt/ford/4.3https://purl.org/becyt/ford/4This research was conducted to gain more insight into the productivity and good management practice (GMP) adoption of cow-calf operations in Río Negro Province, Argentina. The objectives were to characterize productivity and management profiles according to GMP adoption, identify herd clusters, and describe the performance and productivity within each specific cluster. A survey sample of 142 out of 1,229 cow-calf and cow-calf to-finish operations from Avellaneda and Pichi Mahuida counties provided data on productivity, herd structure, and GMP adoption. The productivity variables, calves per 100 cows (C/100 c) and calves per 100 ha (C/100 ha), were described statistically using quartiles, and differences by county according to the three-month breeding season adoption were explored. Moreover, herd structure and GMP-relatedvariables were subjected to multiple correspondence analysis (MCA) with complete-link hierarchical cluster analysis to typify the operations. A total of 127 out of 142 farmers provided productivity data, showing median values of 79.00 C/100 c (Q1= 67.00; Q3= 85.00) and 4.58 C/100 ha (Q1= 2.78; Q3= 8.00). A Significant difference was found between three-month and year-round breeding operations for both variables (82.00 C/100 c vs 75.50 C/100 c; P=0.0006 and 5.60 C/100 ha vs 3.97 C/100 ha; P=0.0072). Three farm clusters (Cl) were identified: Cl 1 (low adoption), Cl 2 (moderate transition), and Cl 3 (GMP-oriented). Cl 3 showed the highest GMP adoption level, and a significant difference was found in the C/100 c variable (85.00 C/100 c vs. 76.00 and 80.00 for Cl 1 and 2, respectively; P=0.0233). Cluster profiling enhances our understanding of the cow-calf operation segment and highlights the importance of GMP adoption for improving productivity in cow-calf operations. The results should be interpreted with caution due to the limitations of a cross-sectional study showing correlational associations. Nevertheless, it provides insights for designing science-based and targeted interventions to improve the performance of the beef cattle industry in Río Negro, Argentina, and may be the basis for prospective or interventions studies in the future.Fil: Vistarop, Vanesa Antonela. Universidad Nacional de Río Negro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Larriestra, Alejandro Jose. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Patología Animal; Argentina. Universidad Nacional de Villa María; ArgentinaFil: Vissio, Claudina. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Patología Animal; Argentina. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; ArgentinaFil: Demateis Llera, Federico. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Yaful, Graciela Noemi. Universidad Nacional de Río Negro; ArgentinaFil: Blanco, Carlos Jorge. Universidad de Buenos Aires; ArgentinaFil: Bartolomé, Julián A.. Universidad Nacional de La Pampa; ArgentinaOxford University Press2025-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/275132Vistarop, Vanesa Antonela; Larriestra, Alejandro Jose; Vissio, Claudina; Demateis Llera, Federico; Yaful, Graciela Noemi; et al.; Cow-calf operation management clusters, Argentina; Oxford University Press; Translational Animal Scienc; 9; 9-2025; 1-442573-2102CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/tas/advance-article/doi/10.1093/tas/txaf110/8248964info:eu-repo/semantics/altIdentifier/doi/10.1093/tas/txaf110info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-23T13:18:15Zoai:ri.conicet.gov.ar:11336/275132instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-12-23 13:18:15.676CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Cow-calf operation management clusters, Argentina
title Cow-calf operation management clusters, Argentina
spellingShingle Cow-calf operation management clusters, Argentina
Vistarop, Vanesa Antonela
clusters
cow-calf operation
beef cattle
good management practices
survey
typification
title_short Cow-calf operation management clusters, Argentina
title_full Cow-calf operation management clusters, Argentina
title_fullStr Cow-calf operation management clusters, Argentina
title_full_unstemmed Cow-calf operation management clusters, Argentina
title_sort Cow-calf operation management clusters, Argentina
dc.creator.none.fl_str_mv Vistarop, Vanesa Antonela
Larriestra, Alejandro Jose
Vissio, Claudina
Demateis Llera, Federico
Yaful, Graciela Noemi
Blanco, Carlos Jorge
Bartolomé, Julián A.
author Vistarop, Vanesa Antonela
author_facet Vistarop, Vanesa Antonela
Larriestra, Alejandro Jose
Vissio, Claudina
Demateis Llera, Federico
Yaful, Graciela Noemi
Blanco, Carlos Jorge
Bartolomé, Julián A.
author_role author
author2 Larriestra, Alejandro Jose
Vissio, Claudina
Demateis Llera, Federico
Yaful, Graciela Noemi
Blanco, Carlos Jorge
Bartolomé, Julián A.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv clusters
cow-calf operation
beef cattle
good management practices
survey
typification
topic clusters
cow-calf operation
beef cattle
good management practices
survey
typification
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.3
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv This research was conducted to gain more insight into the productivity and good management practice (GMP) adoption of cow-calf operations in Río Negro Province, Argentina. The objectives were to characterize productivity and management profiles according to GMP adoption, identify herd clusters, and describe the performance and productivity within each specific cluster. A survey sample of 142 out of 1,229 cow-calf and cow-calf to-finish operations from Avellaneda and Pichi Mahuida counties provided data on productivity, herd structure, and GMP adoption. The productivity variables, calves per 100 cows (C/100 c) and calves per 100 ha (C/100 ha), were described statistically using quartiles, and differences by county according to the three-month breeding season adoption were explored. Moreover, herd structure and GMP-relatedvariables were subjected to multiple correspondence analysis (MCA) with complete-link hierarchical cluster analysis to typify the operations. A total of 127 out of 142 farmers provided productivity data, showing median values of 79.00 C/100 c (Q1= 67.00; Q3= 85.00) and 4.58 C/100 ha (Q1= 2.78; Q3= 8.00). A Significant difference was found between three-month and year-round breeding operations for both variables (82.00 C/100 c vs 75.50 C/100 c; P=0.0006 and 5.60 C/100 ha vs 3.97 C/100 ha; P=0.0072). Three farm clusters (Cl) were identified: Cl 1 (low adoption), Cl 2 (moderate transition), and Cl 3 (GMP-oriented). Cl 3 showed the highest GMP adoption level, and a significant difference was found in the C/100 c variable (85.00 C/100 c vs. 76.00 and 80.00 for Cl 1 and 2, respectively; P=0.0233). Cluster profiling enhances our understanding of the cow-calf operation segment and highlights the importance of GMP adoption for improving productivity in cow-calf operations. The results should be interpreted with caution due to the limitations of a cross-sectional study showing correlational associations. Nevertheless, it provides insights for designing science-based and targeted interventions to improve the performance of the beef cattle industry in Río Negro, Argentina, and may be the basis for prospective or interventions studies in the future.
Fil: Vistarop, Vanesa Antonela. Universidad Nacional de Río Negro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Larriestra, Alejandro Jose. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Patología Animal; Argentina. Universidad Nacional de Villa María; Argentina
Fil: Vissio, Claudina. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Patología Animal; Argentina. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina
Fil: Demateis Llera, Federico. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Yaful, Graciela Noemi. Universidad Nacional de Río Negro; Argentina
Fil: Blanco, Carlos Jorge. Universidad de Buenos Aires; Argentina
Fil: Bartolomé, Julián A.. Universidad Nacional de La Pampa; Argentina
description This research was conducted to gain more insight into the productivity and good management practice (GMP) adoption of cow-calf operations in Río Negro Province, Argentina. The objectives were to characterize productivity and management profiles according to GMP adoption, identify herd clusters, and describe the performance and productivity within each specific cluster. A survey sample of 142 out of 1,229 cow-calf and cow-calf to-finish operations from Avellaneda and Pichi Mahuida counties provided data on productivity, herd structure, and GMP adoption. The productivity variables, calves per 100 cows (C/100 c) and calves per 100 ha (C/100 ha), were described statistically using quartiles, and differences by county according to the three-month breeding season adoption were explored. Moreover, herd structure and GMP-relatedvariables were subjected to multiple correspondence analysis (MCA) with complete-link hierarchical cluster analysis to typify the operations. A total of 127 out of 142 farmers provided productivity data, showing median values of 79.00 C/100 c (Q1= 67.00; Q3= 85.00) and 4.58 C/100 ha (Q1= 2.78; Q3= 8.00). A Significant difference was found between three-month and year-round breeding operations for both variables (82.00 C/100 c vs 75.50 C/100 c; P=0.0006 and 5.60 C/100 ha vs 3.97 C/100 ha; P=0.0072). Three farm clusters (Cl) were identified: Cl 1 (low adoption), Cl 2 (moderate transition), and Cl 3 (GMP-oriented). Cl 3 showed the highest GMP adoption level, and a significant difference was found in the C/100 c variable (85.00 C/100 c vs. 76.00 and 80.00 for Cl 1 and 2, respectively; P=0.0233). Cluster profiling enhances our understanding of the cow-calf operation segment and highlights the importance of GMP adoption for improving productivity in cow-calf operations. The results should be interpreted with caution due to the limitations of a cross-sectional study showing correlational associations. Nevertheless, it provides insights for designing science-based and targeted interventions to improve the performance of the beef cattle industry in Río Negro, Argentina, and may be the basis for prospective or interventions studies in the future.
publishDate 2025
dc.date.none.fl_str_mv 2025-09
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/11336/275132
Vistarop, Vanesa Antonela; Larriestra, Alejandro Jose; Vissio, Claudina; Demateis Llera, Federico; Yaful, Graciela Noemi; et al.; Cow-calf operation management clusters, Argentina; Oxford University Press; Translational Animal Scienc; 9; 9-2025; 1-44
2573-2102
CONICET Digital
CONICET
url http://hdl.handle.net/11336/275132
identifier_str_mv Vistarop, Vanesa Antonela; Larriestra, Alejandro Jose; Vissio, Claudina; Demateis Llera, Federico; Yaful, Graciela Noemi; et al.; Cow-calf operation management clusters, Argentina; Oxford University Press; Translational Animal Scienc; 9; 9-2025; 1-44
2573-2102
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/tas/advance-article/doi/10.1093/tas/txaf110/8248964
info:eu-repo/semantics/altIdentifier/doi/10.1093/tas/txaf110
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.952241

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