Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep
- Autores
- Galli, Julio Ricardo; Cangiano, Carlos Alberto; Milone, Diego Humberto; Laca, Emilio A.
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Acoustic monitoring of the ingestive behavior of grazing sheep was used to study the determinants of intake rate and to estimate dry matter intake (DMI) based on biting and chewing sounds. Each of three crossbred ewes (85±6.0kg body weight) were tested in 16 treatments resulting from the factorial combination of two forage species (orchardgrass and alfalfa), two levels of biomass depletion (tall=30±0.79cm and short=14±0.79cm) and four numbers of bites (20, 40, 60 and 80 bites). During each grazing session biting and chewing sounds were recorded with a wireless microphone placed on the ewe's forehead and connected to a digital video camera for synchronized audio and video recording of ingestive behavior. Dry matter (DM) intake rate was higher for alfalfa than orchardgrass (9.4±0.64 vs. 7.8±0.58g/min, P<0.05) because of lower fiber content (434±14 vs 558±6.6g/kg DM, P<0.01) and consequently shorter chewing time and fewer chews per unit DM (11±1.0 vs. 14±1.0 chews, P<0.05) in alfalfa than in orchardgrass. There were no differences in DMI rate between tall and short plants (8.7±0.67 vs. 8.5±0.68g/min, P>0.05), because sheep increased biting rate (from 17±1.6 to 28±1.6 bites/min, P<0.01) as bite mass declined from tall to short plants (from 0.54±0.02 to 0.31±0.01g DM, P<0.01). Sheep compensated for the reduction in bite mass by allocating fewer chews per bite (from 6.0±0.46 to 3.8±0.47, P<0.05) and increasing total jaw movement rate (from 95±6.3 to 122±6.3 movements/min, P<0.05). Compound jaw movements (chew-bites) were observed in every grazing session. The number of chew-bites was higher for tall than short plants (0.52±0.05 vs. 0.25±0.04 chew-bites/bite, P<0.05). The total amount of energy in chewing sound in a grazing session was linearly related to DMI (root mean square error=6.1g, coefficient of variation=27%); 79% of the total variation in total amount of energy in chewing sound was due to DMI. Dry matter intake was estimated accurately by acoustic analysis. The best model to predict DMI from acoustic analysis had a prediction error equal to 4.1g (coefficient of variation=18%, R2=0.92). Chewing energy per bite and total amount of energy in chewing sound were the most important predictors because they integrate information about eating time and intake rate of forages. The results demonstrate that ingestive sounds contain valuable information to remotely monitor feeding behavior and estimate dry matter intake in grazing ruminants.
Fil: Galli, Julio Ricardo. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Cangiano, Carlos Alberto. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; 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: Laca, Emilio A.. University of California; Estados Unidos - Materia
-
Acoustic Telemetry
Chew-Bite
Chewing
Ingestive Behavior
Ruminants - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/74182
Ver los metadatos del registro completo
id |
CONICETDig_8b3d61460fee8e6527dfe40fb149b27e |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/74182 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Acoustic monitoring of short-term ingestive behavior and intake in grazing sheepGalli, Julio RicardoCangiano, Carlos AlbertoMilone, Diego HumbertoLaca, Emilio A.Acoustic TelemetryChew-BiteChewingIngestive BehaviorRuminantshttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Acoustic monitoring of the ingestive behavior of grazing sheep was used to study the determinants of intake rate and to estimate dry matter intake (DMI) based on biting and chewing sounds. Each of three crossbred ewes (85±6.0kg body weight) were tested in 16 treatments resulting from the factorial combination of two forage species (orchardgrass and alfalfa), two levels of biomass depletion (tall=30±0.79cm and short=14±0.79cm) and four numbers of bites (20, 40, 60 and 80 bites). During each grazing session biting and chewing sounds were recorded with a wireless microphone placed on the ewe's forehead and connected to a digital video camera for synchronized audio and video recording of ingestive behavior. Dry matter (DM) intake rate was higher for alfalfa than orchardgrass (9.4±0.64 vs. 7.8±0.58g/min, P<0.05) because of lower fiber content (434±14 vs 558±6.6g/kg DM, P<0.01) and consequently shorter chewing time and fewer chews per unit DM (11±1.0 vs. 14±1.0 chews, P<0.05) in alfalfa than in orchardgrass. There were no differences in DMI rate between tall and short plants (8.7±0.67 vs. 8.5±0.68g/min, P>0.05), because sheep increased biting rate (from 17±1.6 to 28±1.6 bites/min, P<0.01) as bite mass declined from tall to short plants (from 0.54±0.02 to 0.31±0.01g DM, P<0.01). Sheep compensated for the reduction in bite mass by allocating fewer chews per bite (from 6.0±0.46 to 3.8±0.47, P<0.05) and increasing total jaw movement rate (from 95±6.3 to 122±6.3 movements/min, P<0.05). Compound jaw movements (chew-bites) were observed in every grazing session. The number of chew-bites was higher for tall than short plants (0.52±0.05 vs. 0.25±0.04 chew-bites/bite, P<0.05). The total amount of energy in chewing sound in a grazing session was linearly related to DMI (root mean square error=6.1g, coefficient of variation=27%); 79% of the total variation in total amount of energy in chewing sound was due to DMI. Dry matter intake was estimated accurately by acoustic analysis. The best model to predict DMI from acoustic analysis had a prediction error equal to 4.1g (coefficient of variation=18%, R2=0.92). Chewing energy per bite and total amount of energy in chewing sound were the most important predictors because they integrate information about eating time and intake rate of forages. The results demonstrate that ingestive sounds contain valuable information to remotely monitor feeding behavior and estimate dry matter intake in grazing ruminants.Fil: Galli, Julio Ricardo. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; ArgentinaFil: Cangiano, Carlos Alberto. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; 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: Laca, Emilio A.. University of California; Estados UnidosElsevier Science2011-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/74182Galli, Julio Ricardo; Cangiano, Carlos Alberto; Milone, Diego Humberto; Laca, Emilio A.; Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep; Elsevier Science; Livestock Science; 140; 1-3; 9-2011; 32-411871-1413CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.livsci.2011.02.007info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1871141311000473info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:06Zoai:ri.conicet.gov.ar:11336/74182instacron: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:34982025-09-03 10:04:06.971CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep |
title |
Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep |
spellingShingle |
Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep Galli, Julio Ricardo Acoustic Telemetry Chew-Bite Chewing Ingestive Behavior Ruminants |
title_short |
Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep |
title_full |
Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep |
title_fullStr |
Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep |
title_full_unstemmed |
Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep |
title_sort |
Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep |
dc.creator.none.fl_str_mv |
Galli, Julio Ricardo Cangiano, Carlos Alberto Milone, Diego Humberto Laca, Emilio A. |
author |
Galli, Julio Ricardo |
author_facet |
Galli, Julio Ricardo Cangiano, Carlos Alberto Milone, Diego Humberto Laca, Emilio A. |
author_role |
author |
author2 |
Cangiano, Carlos Alberto Milone, Diego Humberto Laca, Emilio A. |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Acoustic Telemetry Chew-Bite Chewing Ingestive Behavior Ruminants |
topic |
Acoustic Telemetry 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 |
Acoustic monitoring of the ingestive behavior of grazing sheep was used to study the determinants of intake rate and to estimate dry matter intake (DMI) based on biting and chewing sounds. Each of three crossbred ewes (85±6.0kg body weight) were tested in 16 treatments resulting from the factorial combination of two forage species (orchardgrass and alfalfa), two levels of biomass depletion (tall=30±0.79cm and short=14±0.79cm) and four numbers of bites (20, 40, 60 and 80 bites). During each grazing session biting and chewing sounds were recorded with a wireless microphone placed on the ewe's forehead and connected to a digital video camera for synchronized audio and video recording of ingestive behavior. Dry matter (DM) intake rate was higher for alfalfa than orchardgrass (9.4±0.64 vs. 7.8±0.58g/min, P<0.05) because of lower fiber content (434±14 vs 558±6.6g/kg DM, P<0.01) and consequently shorter chewing time and fewer chews per unit DM (11±1.0 vs. 14±1.0 chews, P<0.05) in alfalfa than in orchardgrass. There were no differences in DMI rate between tall and short plants (8.7±0.67 vs. 8.5±0.68g/min, P>0.05), because sheep increased biting rate (from 17±1.6 to 28±1.6 bites/min, P<0.01) as bite mass declined from tall to short plants (from 0.54±0.02 to 0.31±0.01g DM, P<0.01). Sheep compensated for the reduction in bite mass by allocating fewer chews per bite (from 6.0±0.46 to 3.8±0.47, P<0.05) and increasing total jaw movement rate (from 95±6.3 to 122±6.3 movements/min, P<0.05). Compound jaw movements (chew-bites) were observed in every grazing session. The number of chew-bites was higher for tall than short plants (0.52±0.05 vs. 0.25±0.04 chew-bites/bite, P<0.05). The total amount of energy in chewing sound in a grazing session was linearly related to DMI (root mean square error=6.1g, coefficient of variation=27%); 79% of the total variation in total amount of energy in chewing sound was due to DMI. Dry matter intake was estimated accurately by acoustic analysis. The best model to predict DMI from acoustic analysis had a prediction error equal to 4.1g (coefficient of variation=18%, R2=0.92). Chewing energy per bite and total amount of energy in chewing sound were the most important predictors because they integrate information about eating time and intake rate of forages. The results demonstrate that ingestive sounds contain valuable information to remotely monitor feeding behavior and estimate dry matter intake in grazing ruminants. Fil: Galli, Julio Ricardo. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina Fil: Cangiano, Carlos Alberto. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; 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: Laca, Emilio A.. University of California; Estados Unidos |
description |
Acoustic monitoring of the ingestive behavior of grazing sheep was used to study the determinants of intake rate and to estimate dry matter intake (DMI) based on biting and chewing sounds. Each of three crossbred ewes (85±6.0kg body weight) were tested in 16 treatments resulting from the factorial combination of two forage species (orchardgrass and alfalfa), two levels of biomass depletion (tall=30±0.79cm and short=14±0.79cm) and four numbers of bites (20, 40, 60 and 80 bites). During each grazing session biting and chewing sounds were recorded with a wireless microphone placed on the ewe's forehead and connected to a digital video camera for synchronized audio and video recording of ingestive behavior. Dry matter (DM) intake rate was higher for alfalfa than orchardgrass (9.4±0.64 vs. 7.8±0.58g/min, P<0.05) because of lower fiber content (434±14 vs 558±6.6g/kg DM, P<0.01) and consequently shorter chewing time and fewer chews per unit DM (11±1.0 vs. 14±1.0 chews, P<0.05) in alfalfa than in orchardgrass. There were no differences in DMI rate between tall and short plants (8.7±0.67 vs. 8.5±0.68g/min, P>0.05), because sheep increased biting rate (from 17±1.6 to 28±1.6 bites/min, P<0.01) as bite mass declined from tall to short plants (from 0.54±0.02 to 0.31±0.01g DM, P<0.01). Sheep compensated for the reduction in bite mass by allocating fewer chews per bite (from 6.0±0.46 to 3.8±0.47, P<0.05) and increasing total jaw movement rate (from 95±6.3 to 122±6.3 movements/min, P<0.05). Compound jaw movements (chew-bites) were observed in every grazing session. The number of chew-bites was higher for tall than short plants (0.52±0.05 vs. 0.25±0.04 chew-bites/bite, P<0.05). The total amount of energy in chewing sound in a grazing session was linearly related to DMI (root mean square error=6.1g, coefficient of variation=27%); 79% of the total variation in total amount of energy in chewing sound was due to DMI. Dry matter intake was estimated accurately by acoustic analysis. The best model to predict DMI from acoustic analysis had a prediction error equal to 4.1g (coefficient of variation=18%, R2=0.92). Chewing energy per bite and total amount of energy in chewing sound were the most important predictors because they integrate information about eating time and intake rate of forages. The results demonstrate that ingestive sounds contain valuable information to remotely monitor feeding behavior and estimate dry matter intake in grazing ruminants. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-09 |
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/11336/74182 Galli, Julio Ricardo; Cangiano, Carlos Alberto; Milone, Diego Humberto; Laca, Emilio A.; Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep; Elsevier Science; Livestock Science; 140; 1-3; 9-2011; 32-41 1871-1413 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/74182 |
identifier_str_mv |
Galli, Julio Ricardo; Cangiano, Carlos Alberto; Milone, Diego Humberto; Laca, Emilio A.; Acoustic monitoring of short-term ingestive behavior and intake in grazing sheep; Elsevier Science; Livestock Science; 140; 1-3; 9-2011; 32-41 1871-1413 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.livsci.2011.02.007 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1871141311000473 |
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 |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
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 |
_version_ |
1842269838058192896 |
score |
13.13397 |