2016
DOI: 10.1016/j.applanim.2016.10.010
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Intake estimation in dairy cows fed roughage-based diets: An approach based on chewing behaviour measurements

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Cited by 23 publications
(21 citation statements)
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“…A low correlation coefficient between DMI and rumination was also noted in a previous study (Byskov et al, 2017). Nonetheless, Leiber et al (2016) found a higher correlation (r = 0.84) between daily rumination and DMI as long as the individual cow was included as a random factor. When the same model was calculated without cow as a random factor, it revealed a very low coefficient correlation between rumination and DMI.…”
Section: Correlation Between Behavior Parameters and Dmisupporting
confidence: 69%
See 1 more Smart Citation
“…A low correlation coefficient between DMI and rumination was also noted in a previous study (Byskov et al, 2017). Nonetheless, Leiber et al (2016) found a higher correlation (r = 0.84) between daily rumination and DMI as long as the individual cow was included as a random factor. When the same model was calculated without cow as a random factor, it revealed a very low coefficient correlation between rumination and DMI.…”
Section: Correlation Between Behavior Parameters and Dmisupporting
confidence: 69%
“…Another characteristic suggested for predicting DMI is daily rumination and chewing time (Leiber et al, 2016). Unfortunately, a lack of knowledge exists regarding the effect of rumination and digestibility characteristics on the efficiency of high-yielding dairy cows.…”
Section: Introductionmentioning
confidence: 99%
“…Different from our previous study, where feeding high‐quality hay rich in WSC in combination with concentrates decreased rumination (Kleefisch et al, ), no diet effects were found in the present experiment, probably because the level of NDF intake was high in general (Beauchemin & Buchanan‐Smith, ). Time spent ruminating and daily numbers of boluses regurgitated were in the range observed also by others using the same RumiWatch System (Leiber et al, ), while time spent eating was longer in the present study, although DM intake level was similar as observed by Leiber et al (). A possible explanation for this discrepancy might be the different versions of evaluation software used (RumiWatch Converter 0.7.3.2 and RumiWatch Converter 0.7.3.11; Rombach, Münger, Niederhauser, Südekum, & Schor, ).…”
Section: Discussionsupporting
confidence: 90%
“…In particular, compact electronic equipment for continuous monitoring of feeding and locomotion behavior provide reliable data at ever lower costs [ 20 ]. RumiWatch system is a sensor monitoring system widely used indoors [ 21 , 22 ]. Despite the fact that it was recently proposed for grazing assessment [ 23 , 24 ], to our knowledge, no papers have reported its application in evaluating the effect of different management strategies on feeding behavior.…”
Section: Introductionmentioning
confidence: 99%