Development of a welfare assessment protocol for practical application in Argentine feedlots

Autores
Racciati, Debora Silvia; Bottegal, Diego Nicolas; Aguilar, Natalia M. Alejandra; Menichelli, Marcela Liliana; Soteras, Trinidad; Zimerman, Maria; Cancino, Andrea Karina; Marcoppido, Gisela Ariana; Blanco-Penedo, Isabel; Pallisera Lloveras, Joaquim; Langman, Leandro Ezequiel
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
The intensification of livestock farming has led to the expansion of feedlots in many countries and Argentina is not an exception. As in any other husbandry context, there is a need to objectively adopt an evidence-based approach to monitoring animal welfare in feedlots. This research aimed to describe the stages that took part in the development process of Bienest.AR, a beef cattle evaluation protocol adapted to the different conditions of the national feedlots, respecting validity, reliability, and feasibility criteria. The process to achieve this goal included the following seven stages: 1- Identification of welfare indicators considering animal- (ABM), resource- (RBM) and management-based measurements (MBM), by organising them according to the FAWC Five Freedoms, the Five Domains Model, and the welfare principles and criteria applied by Welfare Quality® and AWIN methods; 2- Validation of Gold Standards; 3- Evaluator’s training and first reliability testing by Spearman's Rank correlation coefficient; 4- Selection of indicators through focus groups; 5- Field application on 25 farms; 6- Feasibility and second reliability testing by Kendall Correlation Coefficient; and 7- Weighing of indicators and defining the classification method. Of the 150 candidate measurements initially obtained from the literature review, 57 were pre-selected and 28 were finally selected based on their validity, reliability and practicality to integrate the final protocol (18 ABM, 8 RBM and 2 MBM). In addition, the final protocol included information about: preliminary interview; sampling order; estimated evaluation time; sample size; equipment required; and steps to follow from arrival at the farm until completion of the evaluation. The protocol was applied in 25 feedlots and 54,238 animals, and required a minimum time of 290 min to a maximum of 495 min to be completed. Statistically significant (p < 0.05) concordance among the observers was found for all the selected ABM analysed using Spearman's rank correlation coefficient. Given the simplicity for its evaluation, the reliability of RBM and MBM included in this protocol has not been evaluated. This research allowed the development of the first standard welfare assessment protocol for beef cattle feedlots in Argentina. Further applications of the described welfare assessment tool in many feedlots will reinforce the validation of the proposed measurements and allow the diagnosis of the global situation of animal welfare in feedlots in Argentina and other countries applying comparable fattening systems.
Instituto de Investigación Animal del Chaco Semiárido
Fil: Racciati, Debora. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina
Fil: Racciati, Debora. Servicio Nacional de Sanidad y Calidad Agroalimentaria (SENASA); Argentina.
Fil: Bottegal, Diego Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentina
Fil: Aguilar, Natalia Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Colonia Benítez; Argentina.
Fil: Aguilar, Natalia Alejandra. Universidad Nacional del Nordeste. Facultad de Ciencias Veterinarias; Argentina
Fil: Menichelli, Marcela Liliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Reconquista; Argentina
Fil: Menichelli, Marcela Liliana. Universidad Católica de Santa Fe. Facultad de Ciencias Agropecuarias; Argentina
Fil: Soteras, Trinidad. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Tecnología de Alimentos; Argentina
Fil: Zimerman, María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentina
Fil: Cancino, Andrea Karina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina.
Fil: Marcoppido, Gisela Ariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina
Fil: Blanco-Penedo, Isabel. Swedish University of Agricultural Sciences. Department of Clinical Sciences; Suecia
Fil: Pallisera Lloveras, Joaquim. Institut de Recerca i Tecnologías Agroalimentàries; España
Fil: Langman, Leandro Ezequiel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Tecnología de Alimentos; Argentina
Fuente
Applied Animal Behaviour Science 253 : 105662 (August 2022)
Materia
Ganado Bovino
Bienestar Animal
Feedlot
Ganado de Carne
Argentina
Cattle
Animal Welfare
Feedlots
Beef Cattle
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Development of a welfare assessment protocol for practical application in Argentine feedlotsRacciati, Debora SilviaBottegal, Diego NicolasAguilar, Natalia M. AlejandraMenichelli, Marcela LilianaSoteras, TrinidadZimerman, MariaCancino, Andrea KarinaMarcoppido, Gisela ArianaBlanco-Penedo, IsabelPallisera Lloveras, JoaquimLangman, Leandro EzequielGanado BovinoBienestar AnimalFeedlotGanado de CarneArgentinaCattleAnimal WelfareFeedlotsBeef CattleThe intensification of livestock farming has led to the expansion of feedlots in many countries and Argentina is not an exception. As in any other husbandry context, there is a need to objectively adopt an evidence-based approach to monitoring animal welfare in feedlots. This research aimed to describe the stages that took part in the development process of Bienest.AR, a beef cattle evaluation protocol adapted to the different conditions of the national feedlots, respecting validity, reliability, and feasibility criteria. The process to achieve this goal included the following seven stages: 1- Identification of welfare indicators considering animal- (ABM), resource- (RBM) and management-based measurements (MBM), by organising them according to the FAWC Five Freedoms, the Five Domains Model, and the welfare principles and criteria applied by Welfare Quality® and AWIN methods; 2- Validation of Gold Standards; 3- Evaluator’s training and first reliability testing by Spearman's Rank correlation coefficient; 4- Selection of indicators through focus groups; 5- Field application on 25 farms; 6- Feasibility and second reliability testing by Kendall Correlation Coefficient; and 7- Weighing of indicators and defining the classification method. Of the 150 candidate measurements initially obtained from the literature review, 57 were pre-selected and 28 were finally selected based on their validity, reliability and practicality to integrate the final protocol (18 ABM, 8 RBM and 2 MBM). In addition, the final protocol included information about: preliminary interview; sampling order; estimated evaluation time; sample size; equipment required; and steps to follow from arrival at the farm until completion of the evaluation. The protocol was applied in 25 feedlots and 54,238 animals, and required a minimum time of 290 min to a maximum of 495 min to be completed. Statistically significant (p < 0.05) concordance among the observers was found for all the selected ABM analysed using Spearman's rank correlation coefficient. Given the simplicity for its evaluation, the reliability of RBM and MBM included in this protocol has not been evaluated. This research allowed the development of the first standard welfare assessment protocol for beef cattle feedlots in Argentina. Further applications of the described welfare assessment tool in many feedlots will reinforce the validation of the proposed measurements and allow the diagnosis of the global situation of animal welfare in feedlots in Argentina and other countries applying comparable fattening systems.Instituto de Investigación Animal del Chaco SemiáridoFil: Racciati, Debora. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias; ArgentinaFil: Racciati, Debora. Servicio Nacional de Sanidad y Calidad Agroalimentaria (SENASA); Argentina.Fil: Bottegal, Diego Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; ArgentinaFil: Aguilar, Natalia Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Colonia Benítez; Argentina.Fil: Aguilar, Natalia Alejandra. Universidad Nacional del Nordeste. Facultad de Ciencias Veterinarias; ArgentinaFil: Menichelli, Marcela Liliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Reconquista; ArgentinaFil: Menichelli, Marcela Liliana. Universidad Católica de Santa Fe. Facultad de Ciencias Agropecuarias; ArgentinaFil: Soteras, Trinidad. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Tecnología de Alimentos; ArgentinaFil: Zimerman, María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; ArgentinaFil: Cancino, Andrea Karina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina.Fil: Marcoppido, Gisela Ariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; ArgentinaFil: Blanco-Penedo, Isabel. Swedish University of Agricultural Sciences. Department of Clinical Sciences; SueciaFil: Pallisera Lloveras, Joaquim. Institut de Recerca i Tecnologías Agroalimentàries; EspañaFil: Langman, Leandro Ezequiel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Tecnología de Alimentos; ArgentinaElsevierinfo:eu-repo/date/embargoEnd/2023-06-062022-06-06T12:54:31Z2022-06-06T12:54:31Z2022-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/12023https://www.sciencedirect.com/science/article/abs/pii/S01681591220012040168-1591https://doi.org/10.1016/j.applanim.2022.105662Applied Animal Behaviour Science 253 : 105662 (August 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengArgentina .......... 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dc.title.none.fl_str_mv Development of a welfare assessment protocol for practical application in Argentine feedlots
title Development of a welfare assessment protocol for practical application in Argentine feedlots
spellingShingle Development of a welfare assessment protocol for practical application in Argentine feedlots
Racciati, Debora Silvia
Ganado Bovino
Bienestar Animal
Feedlot
Ganado de Carne
Argentina
Cattle
Animal Welfare
Feedlots
Beef Cattle
title_short Development of a welfare assessment protocol for practical application in Argentine feedlots
title_full Development of a welfare assessment protocol for practical application in Argentine feedlots
title_fullStr Development of a welfare assessment protocol for practical application in Argentine feedlots
title_full_unstemmed Development of a welfare assessment protocol for practical application in Argentine feedlots
title_sort Development of a welfare assessment protocol for practical application in Argentine feedlots
dc.creator.none.fl_str_mv Racciati, Debora Silvia
Bottegal, Diego Nicolas
Aguilar, Natalia M. Alejandra
Menichelli, Marcela Liliana
Soteras, Trinidad
Zimerman, Maria
Cancino, Andrea Karina
Marcoppido, Gisela Ariana
Blanco-Penedo, Isabel
Pallisera Lloveras, Joaquim
Langman, Leandro Ezequiel
author Racciati, Debora Silvia
author_facet Racciati, Debora Silvia
Bottegal, Diego Nicolas
Aguilar, Natalia M. Alejandra
Menichelli, Marcela Liliana
Soteras, Trinidad
Zimerman, Maria
Cancino, Andrea Karina
Marcoppido, Gisela Ariana
Blanco-Penedo, Isabel
Pallisera Lloveras, Joaquim
Langman, Leandro Ezequiel
author_role author
author2 Bottegal, Diego Nicolas
Aguilar, Natalia M. Alejandra
Menichelli, Marcela Liliana
Soteras, Trinidad
Zimerman, Maria
Cancino, Andrea Karina
Marcoppido, Gisela Ariana
Blanco-Penedo, Isabel
Pallisera Lloveras, Joaquim
Langman, Leandro Ezequiel
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ganado Bovino
Bienestar Animal
Feedlot
Ganado de Carne
Argentina
Cattle
Animal Welfare
Feedlots
Beef Cattle
topic Ganado Bovino
Bienestar Animal
Feedlot
Ganado de Carne
Argentina
Cattle
Animal Welfare
Feedlots
Beef Cattle
dc.description.none.fl_txt_mv The intensification of livestock farming has led to the expansion of feedlots in many countries and Argentina is not an exception. As in any other husbandry context, there is a need to objectively adopt an evidence-based approach to monitoring animal welfare in feedlots. This research aimed to describe the stages that took part in the development process of Bienest.AR, a beef cattle evaluation protocol adapted to the different conditions of the national feedlots, respecting validity, reliability, and feasibility criteria. The process to achieve this goal included the following seven stages: 1- Identification of welfare indicators considering animal- (ABM), resource- (RBM) and management-based measurements (MBM), by organising them according to the FAWC Five Freedoms, the Five Domains Model, and the welfare principles and criteria applied by Welfare Quality® and AWIN methods; 2- Validation of Gold Standards; 3- Evaluator’s training and first reliability testing by Spearman's Rank correlation coefficient; 4- Selection of indicators through focus groups; 5- Field application on 25 farms; 6- Feasibility and second reliability testing by Kendall Correlation Coefficient; and 7- Weighing of indicators and defining the classification method. Of the 150 candidate measurements initially obtained from the literature review, 57 were pre-selected and 28 were finally selected based on their validity, reliability and practicality to integrate the final protocol (18 ABM, 8 RBM and 2 MBM). In addition, the final protocol included information about: preliminary interview; sampling order; estimated evaluation time; sample size; equipment required; and steps to follow from arrival at the farm until completion of the evaluation. The protocol was applied in 25 feedlots and 54,238 animals, and required a minimum time of 290 min to a maximum of 495 min to be completed. Statistically significant (p < 0.05) concordance among the observers was found for all the selected ABM analysed using Spearman's rank correlation coefficient. Given the simplicity for its evaluation, the reliability of RBM and MBM included in this protocol has not been evaluated. This research allowed the development of the first standard welfare assessment protocol for beef cattle feedlots in Argentina. Further applications of the described welfare assessment tool in many feedlots will reinforce the validation of the proposed measurements and allow the diagnosis of the global situation of animal welfare in feedlots in Argentina and other countries applying comparable fattening systems.
Instituto de Investigación Animal del Chaco Semiárido
Fil: Racciati, Debora. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina
Fil: Racciati, Debora. Servicio Nacional de Sanidad y Calidad Agroalimentaria (SENASA); Argentina.
Fil: Bottegal, Diego Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentina
Fil: Aguilar, Natalia Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Colonia Benítez; Argentina.
Fil: Aguilar, Natalia Alejandra. Universidad Nacional del Nordeste. Facultad de Ciencias Veterinarias; Argentina
Fil: Menichelli, Marcela Liliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Reconquista; Argentina
Fil: Menichelli, Marcela Liliana. Universidad Católica de Santa Fe. Facultad de Ciencias Agropecuarias; Argentina
Fil: Soteras, Trinidad. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Tecnología de Alimentos; Argentina
Fil: Zimerman, María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentina
Fil: Cancino, Andrea Karina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina.
Fil: Marcoppido, Gisela Ariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina
Fil: Blanco-Penedo, Isabel. Swedish University of Agricultural Sciences. Department of Clinical Sciences; Suecia
Fil: Pallisera Lloveras, Joaquim. Institut de Recerca i Tecnologías Agroalimentàries; España
Fil: Langman, Leandro Ezequiel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Tecnología de Alimentos; Argentina
description The intensification of livestock farming has led to the expansion of feedlots in many countries and Argentina is not an exception. As in any other husbandry context, there is a need to objectively adopt an evidence-based approach to monitoring animal welfare in feedlots. This research aimed to describe the stages that took part in the development process of Bienest.AR, a beef cattle evaluation protocol adapted to the different conditions of the national feedlots, respecting validity, reliability, and feasibility criteria. The process to achieve this goal included the following seven stages: 1- Identification of welfare indicators considering animal- (ABM), resource- (RBM) and management-based measurements (MBM), by organising them according to the FAWC Five Freedoms, the Five Domains Model, and the welfare principles and criteria applied by Welfare Quality® and AWIN methods; 2- Validation of Gold Standards; 3- Evaluator’s training and first reliability testing by Spearman's Rank correlation coefficient; 4- Selection of indicators through focus groups; 5- Field application on 25 farms; 6- Feasibility and second reliability testing by Kendall Correlation Coefficient; and 7- Weighing of indicators and defining the classification method. Of the 150 candidate measurements initially obtained from the literature review, 57 were pre-selected and 28 were finally selected based on their validity, reliability and practicality to integrate the final protocol (18 ABM, 8 RBM and 2 MBM). In addition, the final protocol included information about: preliminary interview; sampling order; estimated evaluation time; sample size; equipment required; and steps to follow from arrival at the farm until completion of the evaluation. The protocol was applied in 25 feedlots and 54,238 animals, and required a minimum time of 290 min to a maximum of 495 min to be completed. Statistically significant (p < 0.05) concordance among the observers was found for all the selected ABM analysed using Spearman's rank correlation coefficient. Given the simplicity for its evaluation, the reliability of RBM and MBM included in this protocol has not been evaluated. This research allowed the development of the first standard welfare assessment protocol for beef cattle feedlots in Argentina. Further applications of the described welfare assessment tool in many feedlots will reinforce the validation of the proposed measurements and allow the diagnosis of the global situation of animal welfare in feedlots in Argentina and other countries applying comparable fattening systems.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-06T12:54:31Z
2022-06-06T12:54:31Z
2022-08
info:eu-repo/date/embargoEnd/2023-06-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/12023
https://www.sciencedirect.com/science/article/abs/pii/S0168159122001204
0168-1591
https://doi.org/10.1016/j.applanim.2022.105662
url http://hdl.handle.net/20.500.12123/12023
https://www.sciencedirect.com/science/article/abs/pii/S0168159122001204
https://doi.org/10.1016/j.applanim.2022.105662
identifier_str_mv 0168-1591
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Argentina .......... (nation) (World, South America)
7006477
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Applied Animal Behaviour Science 253 : 105662 (August 2022)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
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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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