Technical note: the use of a physical activity monitor to estimate the eating time of cows in pasture.

J Dairy Sci

Intensive Grazing Research Team, National Agricultural Research Center for Hokkaido Region, Hitsujigaoka, Toyohira-ku, Sapporo, Hokkaido 062-8555, Japan.

Published: July 2011

Accurate eating time can be used as an index of forage dry matter intake in grazing cows. To develop a method for easily estimating the eating time of dairy cows in a pasture, 8 lactating Holstein cows were fitted with collars equipped with commercial uniaxial accelerometers; namely, the Kenz Lifecorder EX (LCEX; Suzuken Co. Ltd., Nagoya, Japan), and were allowed to graze in a pasture for 4, 8, or 20 h daily for 7 d. The LCEX device recorded the intensity of the physical activity categorized into 1 of 11 activity levels ranging among 0 (no movement), 0.5 (subtle) and from 1 to 9 (1, light; 9, vigorous intensity) every 4s during the experimental period. The activities of the animals were also video-recorded for 11h and were manually classified into 7 categories (eating, searching, ruminating, standing resting, lying resting, drinking, and walking) at 4-s intervals. According to the count distribution of the activity levels for the categorized activities, 94.4% of the counts involving eating activity ranged from activity level 1 to 7. On the other hand, most of the counts were activity level 0 or 0.5 when ruminating and resting activities were observed. No records of activity level 8 or 9 were found in any activities. When activity level 1 was used as a threshold for discriminating eating from the other activities, the lowest misclassification rate of 5.5% was observed. With a threshold of activity level 1, the eating times in pasture for cows grazing for 4, 8, and 20 h/d were 142.8, 290.6, and 438.4 min/d, respectively, and the proportions of the time spent in pasture that were made up of eating time were 0.66, 0.67, and 0.38, respectively [the proportion during daytime (8h of the 20-h grazing treatment) was 0.63 and that at nighttime (12h of the 20-h grazing treatment) was 0.23]. The use of the LCEX device allows for easy measurement of eating time and facilitates the determination of the pattern of eating activity in pasture for grazing cows.

Download full-text PDF

Source
http://dx.doi.org/10.3168/jds.2010-4033DOI Listing

Publication Analysis

Top Keywords

eating time
20
activity level
20
activity
11
eating
10
physical activity
8
cows pasture
8
grazing cows
8
lcex device
8
activity levels
8
eating activity
8

Similar Publications

Objective: This study aimed to investigate the longitudinal bi-directional relationship between self-reported restrictive eating behaviours and sleep characteristics within a sample of UK adolescents from the Millennium Cohort Study (MCS).

Method: Using a Structural Equation Modelling approach, the present study investigated the prospective associations between individual sleep behaviours (e.g.

View Article and Find Full Text PDF

Background: Although varieties in chewing patterns are essential for the transformation of food in mouth and thereby its sensorial perception, there are few reports that show the effect of chewing frequency on food oral processing and its properties.

Objective: The current study tested whether consciously controlled chewing frequency influences the oral processing of habitually consumed foods and their sensory analysis.

Method: Chewing behaviour was analysed during the mastication of mushed potato samples by 20 participants in two separate test sessions, in which they were instructed to chew the sample in their habitual manner (free chewing test) or follow a preprogrammed video animation displayed on a screen, wich guided them to maintain a constant chewing frequency (F-const chewing test).

View Article and Find Full Text PDF

Risk factors for growth retardation in children with juvenile idiopathic arthritis: a case-control study.

BMC Musculoskelet Disord

January 2025

Department of Pediatric, Hebei Medical University Third Hospital, 139 Ziqiang Road, Shijiazhuang City, 050051, Hebei Province, China.

Objective: This study aimed to investigate the role of various factors contributing to growth retardation, including nutritional intake, disease duration, and treatment history, and further identify key risk factors that may influence growth outcomes in patients with juvenile idiopathic arthritis (JIA).

Methods: Clinical data from 155 JIA children who were treated at our hospital between January 2019 and December 2022 were analyzed. The children were divided into the growth retardation group (n = 40) and the non-growth retardation group (n = 115) based on the height Z-score < -2 SD or not.

View Article and Find Full Text PDF

Effect of nutrient-rich quinoa fraction composite wheat flour on product development.

J Food Sci Technol

January 2025

Department of Flour Milling Baking and Confectionery Technology, Central Food Technological Research Institute, (Council of Scientific and Industrial Research), Mysore, 570020 India.

To study the characteristics of bread by incorporating nutrient-rich quinoa flour as a new source for product development. Wheat flour was replaced by fractionated quinoa flour in different variations from 0%QF to 20%QF: 0%, 5%, 10%, 15%, and 20% WQF blends, respectively. Physicochemical studies resulted in higher protein and fiber content for the higher blend.

View Article and Find Full Text PDF

Nutritional and functional outcomes in trials of nutrient-stimulated hormone-based therapy-A systematic mapping review.

Obes Rev

January 2025

Assistance Publique-Hôpitaux de Paris (AP-HP), Service de Nutrition, Centre Spécialisé Obésité, Hôpital Européen Georges Pompidou, Paris, France.

Introduction: Currently, trials are investigating the efficacy of nutrient-stimulated hormone-based therapies (NuSHs) in promoting weight loss in people living with overweight and obesity. However, the extent to which nutritional and functional outcomes are evaluated remains uncertain. Thus, we conducted a systematic mapping to assess the presence of nutritional and functional outcomes in randomized controlled trials (RCTs) investigating NuSHs.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!