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

Published online by Cambridge University Press:  10 October 2017

J. R. Galli*
Affiliation:
Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, C.C. 14, S 2125 ZAA, Zavalla, Santa Fe, Argentina
C. A. Cangiano
Affiliation:
Instituto Nacional de Tecnología Agropecuaria, C.C. 276, 7620 Balcarce, Buenos Aires, Argentina
M. A. Pece
Affiliation:
Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, C.C. 14, S 2125 ZAA, Zavalla, Santa Fe, Argentina
M. J. Larripa
Affiliation:
Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, C.C. 14, S 2125 ZAA, Zavalla, Santa Fe, Argentina
D. H. Milone
Affiliation:
Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional, sinc(i), CONICET-UNL, 4to piso FICH, Ciudad Universitaria UNL, 3000 Santa Fe, Argentina
S. A. Utsumi
Affiliation:
W.K. Kellogg Biological Station and Department of Animal Science, Michigan State University, 3700 E Gull Lake dr., Hickory Corners, MI 49060, USA
E. A. Laca
Affiliation:
Department of Plant Sciences, University of California, One Shields av., Davis, CA 95616, USA
*
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Abstract

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.

Type
Research Article
Copyright
© The Animal Consortium 2017 

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Footnotes

*

Retired.

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