Case study: An evaluation of the potential to measure real-time body weight of feedlot cattle
The correlation of front-end BW (partial BW of the animal where only the front 2 legs are weighed) to total BW (BW of the entire animal) and the ability to use front-end BW to forward-project BW were assessed in this study. The objectives of this experiment were to determine if front-end BW could be...
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Published in | Professional Animal Scientist Vol. 23; no. 3; pp. 295 - 299 |
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Main Authors | , , |
Format | Journal Article Trade Publication Article |
Language | English |
Published |
Champaign
American Registry of Professional Animal Scientists
01.06.2007
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Subjects | |
Online Access | Get full text |
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Summary: | The correlation of front-end BW (partial BW of the animal where only the front 2 legs are weighed) to total BW (BW of the
entire animal) and the ability to use front-end BW to forward-project BW were assessed in this study. The objectives of this
experiment were to determine if front-end BW could be captured individually in a grouped lot of calves, to determine the correlation
of front-end BW to total BW, and to determine if front-end BW could be used to forward-project total BW via regression equations.
One hundred sixty-six crossbred heifers (average initial BW 472.4 kg, SD = 36.8) had front-end BW measured for 62 d at a commercial
feedlot using an in-pen weighing system located at the water trough. The in-pen weighing system consisted of 6 individual
weighing stalls mounted on both sides of the watering trough and was designed to allow only one animal per position at any
given time. Animal drinking behavior and BW was measured each time the animal visited the water trough. The majority of animals
were weighed by the system 4 times/d or less. Less than 10% of the animals were weighed by the system more than 8 times/d.
Front-end BW was correlated (r = 0.97) to BW measured using chutes equipped with a scale. Body weight was forward-projected
via regression equations using 15, 30, and 45 d of front-end BW data. Analysis showed that 30 d of front-end BW data could
be used to predict future BW. In-pen BW was uniformly correlated to total BW and could be used to calculate ADG and forward-project
BW of cattle in the feedlot. The potential to quantify and forward-project animal performance and BW could enhance cattle
management and marketing.
front-end body weight
body weight prediction
drinking behavior
feedlot |
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ISSN: | 1080-7446 1525-318X |