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https://doi.org/10.5680/mcpb00...
Part of book or chapter of book . 2020
License: CC BY
Data sources: Crossref
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PURE Aarhus University
Part of book or chapter of book . 2020
https://dx.doi.org/10.5680/mcp...
Other literature type . 2020
License: CC BY
Data sources: Datacite
http://dx.doi.org/10.5680/mcpb...
Part of book or chapter of book . 2020
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Bodyweight, body condition and anatomy

Authors: Mesgaran, Sadjad Danesh; Weisbjerg, Martin Riis; Bach, Alex; Salau, Jennifer; Haas, Jan Henning; Junge, Wolfgang; Thaller, Georg; +1 Authors

Bodyweight, body condition and anatomy

Abstract

Measuring bodyweight (BW) in cattle is essential for many research and management activities such as calculating dietary energy requirements for maintenance, calculating average daily gain and evaluating breeding values which include BW as a trait. Frequent monitoring of BW in dairy cows is necessary as changes in BW can help assess the energy balance of an animal. Precise understanding of BW gain of growing and fattening cattle or body mass changes during lactation is crucial in developing nutritional management programs and assessing feed efficiency, as well as the overall animal health status. Weigh scales are the most widely used method for determining BW in cattle, despite being timeconsuming and potentially costly to implement. Current advancements in technology have led to the development of automated weighing scales. Such technologies provide a more sensitive and less labourintensive approach for measuring BW changes in cattle. However, few investigations have been conducted to validate and compare automated walk-over weighing scales, coupled with radio frequency identification (RFID) ear tags, with conventional static weighing scales.

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Keywords

636 Animal Husbandry, Ruminants Bovine Cattle

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average