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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/12023
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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) |
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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