Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle

Autores
Galli, Julio Ricardo; Cangiano, Carlos Alberto; Pece, M. A.; Larripa, M. J.; Milone, Diego Humberto; Utsumi, S. A.; Laca, E. A.
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Accurate measurement of herbage intake rate is critical to advance knowledge of the ecology of grazing ruminants. This experiment tested the integration of behavioral and acoustic measurements of chewing and biting to estimate herbage dry matter intake (DMI) in dairy cows offered micro-swards of contrasting plant structure. Micro-swards constructed with plastic pots were offered to three lactating Holstein cows (608±24.9 kg of BW) in individual grazing sessions (n=48). Treatments were a factorial combination of two forage species (alfalfa and fescue) and two plant heights (tall=25±3.8 cm and short=12±1.9 cm) and were offered on a gradient of increasing herbage mass (10 to 30 pots) and number of bites (~10 to 40 bites). During each grazing session, sounds of biting and chewing were recorded with a wireless microphone placed on the cows? foreheads and a digital video camera to allow synchronized audio and video recordings. Dry matter intake rate was higher in tall alfalfa than in the other three treatments (32±1.6 v. 19±1.2 g/min). A high proportion of jaw movements in every grazing session (23 to 36%) were compound jaw movements (chew-bites) that appeared to be a key component of chewing and biting efficiency and of the ability of cows to regulate intake rate. Dry matter intake was accurately predicted based on easily observable behavioral and acoustic variables. Chewing sound energy measured as energy flux density (EFD) was linearly related to DMI, with 74% of EFD variation explained by DMI. Total chewing EFD, number of chew-bites and plant height (tall v. short) were the most important predictors of DMI. The best model explained 91% of the variation in DMI with a coefficient of variation of 17%. Ingestive sounds integrate valuable information to remotely monitor feeding behavior and predict DMI in grazing cows.
Fil: Galli, Julio Ricardo. Universidad Nacional de Rosario; Argentina
Fil: Cangiano, Carlos Alberto. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Pece, M. A.. Universidad Nacional de Rosario; Argentina
Fil: Larripa, M. J.. Universidad Nacional de Rosario; Argentina
Fil: Milone, Diego Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; Argentina
Fil: Utsumi, S. A.. Michigan State University; Estados Unidos
Fil: Laca, E. A.. University of California at Davis; Estados Unidos
Materia
Acoustic Analysis
Chew-Bite
Chewing
Ingestive Behavior
Ruminants
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/47802
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/47802
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattleGalli, Julio RicardoCangiano, Carlos AlbertoPece, M. A.Larripa, M. J.Milone, Diego HumbertoUtsumi, S. A.Laca, E. A.Acoustic AnalysisChew-BiteChewingIngestive BehaviorRuminantshttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Accurate measurement of herbage intake rate is critical to advance knowledge of the ecology of grazing ruminants. This experiment tested the integration of behavioral and acoustic measurements of chewing and biting to estimate herbage dry matter intake (DMI) in dairy cows offered micro-swards of contrasting plant structure. Micro-swards constructed with plastic pots were offered to three lactating Holstein cows (608±24.9 kg of BW) in individual grazing sessions (n=48). Treatments were a factorial combination of two forage species (alfalfa and fescue) and two plant heights (tall=25±3.8 cm and short=12±1.9 cm) and were offered on a gradient of increasing herbage mass (10 to 30 pots) and number of bites (~10 to 40 bites). During each grazing session, sounds of biting and chewing were recorded with a wireless microphone placed on the cows? foreheads and a digital video camera to allow synchronized audio and video recordings. Dry matter intake rate was higher in tall alfalfa than in the other three treatments (32±1.6 v. 19±1.2 g/min). A high proportion of jaw movements in every grazing session (23 to 36%) were compound jaw movements (chew-bites) that appeared to be a key component of chewing and biting efficiency and of the ability of cows to regulate intake rate. Dry matter intake was accurately predicted based on easily observable behavioral and acoustic variables. Chewing sound energy measured as energy flux density (EFD) was linearly related to DMI, with 74% of EFD variation explained by DMI. Total chewing EFD, number of chew-bites and plant height (tall v. short) were the most important predictors of DMI. The best model explained 91% of the variation in DMI with a coefficient of variation of 17%. Ingestive sounds integrate valuable information to remotely monitor feeding behavior and predict DMI in grazing cows.Fil: Galli, Julio Ricardo. Universidad Nacional de Rosario; ArgentinaFil: Cangiano, Carlos Alberto. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; ArgentinaFil: Pece, M. A.. Universidad Nacional de Rosario; ArgentinaFil: Larripa, M. J.. Universidad Nacional de Rosario; ArgentinaFil: Milone, Diego Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; ArgentinaFil: Utsumi, S. A.. Michigan State University; Estados UnidosFil: Laca, E. A.. University of California at Davis; Estados UnidosCambridge University Press2017-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/47802Galli, Julio Ricardo; Cangiano, Carlos Alberto; Pece, M. A.; Larripa, M. J.; Milone, Diego Humberto; et al.; Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle; Cambridge University Press; Animal; 12; 5; 10-2017; 973-9821751-7311CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1017/S1751731117002415info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:25:09Zoai:ri.conicet.gov.ar:11336/47802instacron: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:34982025-09-29 10:25:10.084CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle
title Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle
spellingShingle Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle
Galli, Julio Ricardo
Acoustic Analysis
Chew-Bite
Chewing
Ingestive Behavior
Ruminants
title_short Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle
title_full Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle
title_fullStr Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle
title_full_unstemmed Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle
title_sort Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle
dc.creator.none.fl_str_mv Galli, Julio Ricardo
Cangiano, Carlos Alberto
Pece, M. A.
Larripa, M. J.
Milone, Diego Humberto
Utsumi, S. A.
Laca, E. A.
author Galli, Julio Ricardo
author_facet Galli, Julio Ricardo
Cangiano, Carlos Alberto
Pece, M. A.
Larripa, M. J.
Milone, Diego Humberto
Utsumi, S. A.
Laca, E. A.
author_role author
author2 Cangiano, Carlos Alberto
Pece, M. A.
Larripa, M. J.
Milone, Diego Humberto
Utsumi, S. A.
Laca, E. A.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Acoustic Analysis
Chew-Bite
Chewing
Ingestive Behavior
Ruminants
topic Acoustic Analysis
Chew-Bite
Chewing
Ingestive Behavior
Ruminants
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Accurate measurement of herbage intake rate is critical to advance knowledge of the ecology of grazing ruminants. This experiment tested the integration of behavioral and acoustic measurements of chewing and biting to estimate herbage dry matter intake (DMI) in dairy cows offered micro-swards of contrasting plant structure. Micro-swards constructed with plastic pots were offered to three lactating Holstein cows (608±24.9 kg of BW) in individual grazing sessions (n=48). Treatments were a factorial combination of two forage species (alfalfa and fescue) and two plant heights (tall=25±3.8 cm and short=12±1.9 cm) and were offered on a gradient of increasing herbage mass (10 to 30 pots) and number of bites (~10 to 40 bites). During each grazing session, sounds of biting and chewing were recorded with a wireless microphone placed on the cows? foreheads and a digital video camera to allow synchronized audio and video recordings. Dry matter intake rate was higher in tall alfalfa than in the other three treatments (32±1.6 v. 19±1.2 g/min). A high proportion of jaw movements in every grazing session (23 to 36%) were compound jaw movements (chew-bites) that appeared to be a key component of chewing and biting efficiency and of the ability of cows to regulate intake rate. Dry matter intake was accurately predicted based on easily observable behavioral and acoustic variables. Chewing sound energy measured as energy flux density (EFD) was linearly related to DMI, with 74% of EFD variation explained by DMI. Total chewing EFD, number of chew-bites and plant height (tall v. short) were the most important predictors of DMI. The best model explained 91% of the variation in DMI with a coefficient of variation of 17%. Ingestive sounds integrate valuable information to remotely monitor feeding behavior and predict DMI in grazing cows.
Fil: Galli, Julio Ricardo. Universidad Nacional de Rosario; Argentina
Fil: Cangiano, Carlos Alberto. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Pece, M. A.. Universidad Nacional de Rosario; Argentina
Fil: Larripa, M. J.. Universidad Nacional de Rosario; Argentina
Fil: Milone, Diego Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; Argentina
Fil: Utsumi, S. A.. Michigan State University; Estados Unidos
Fil: Laca, E. A.. University of California at Davis; Estados Unidos
description Accurate measurement of herbage intake rate is critical to advance knowledge of the ecology of grazing ruminants. This experiment tested the integration of behavioral and acoustic measurements of chewing and biting to estimate herbage dry matter intake (DMI) in dairy cows offered micro-swards of contrasting plant structure. Micro-swards constructed with plastic pots were offered to three lactating Holstein cows (608±24.9 kg of BW) in individual grazing sessions (n=48). Treatments were a factorial combination of two forage species (alfalfa and fescue) and two plant heights (tall=25±3.8 cm and short=12±1.9 cm) and were offered on a gradient of increasing herbage mass (10 to 30 pots) and number of bites (~10 to 40 bites). During each grazing session, sounds of biting and chewing were recorded with a wireless microphone placed on the cows? foreheads and a digital video camera to allow synchronized audio and video recordings. Dry matter intake rate was higher in tall alfalfa than in the other three treatments (32±1.6 v. 19±1.2 g/min). A high proportion of jaw movements in every grazing session (23 to 36%) were compound jaw movements (chew-bites) that appeared to be a key component of chewing and biting efficiency and of the ability of cows to regulate intake rate. Dry matter intake was accurately predicted based on easily observable behavioral and acoustic variables. Chewing sound energy measured as energy flux density (EFD) was linearly related to DMI, with 74% of EFD variation explained by DMI. Total chewing EFD, number of chew-bites and plant height (tall v. short) were the most important predictors of DMI. The best model explained 91% of the variation in DMI with a coefficient of variation of 17%. Ingestive sounds integrate valuable information to remotely monitor feeding behavior and predict DMI in grazing cows.
publishDate 2017
dc.date.none.fl_str_mv 2017-10
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/11336/47802
Galli, Julio Ricardo; Cangiano, Carlos Alberto; Pece, M. A.; Larripa, M. J.; Milone, Diego Humberto; et al.; Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle; Cambridge University Press; Animal; 12; 5; 10-2017; 973-982
1751-7311
CONICET Digital
CONICET
url http://hdl.handle.net/11336/47802
identifier_str_mv Galli, Julio Ricardo; Cangiano, Carlos Alberto; Pece, M. A.; Larripa, M. J.; Milone, Diego Humberto; et al.; Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle; Cambridge University Press; Animal; 12; 5; 10-2017; 973-982
1751-7311
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1017/S1751731117002415
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Cambridge University Press
publisher.none.fl_str_mv Cambridge 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 13.070432

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