2020
DOI: 10.3390/ani10081430
|View full text |Cite
|
Sign up to set email alerts
|

A Review of Welfare Indicators of Indoor-Housed Dairy Cow as a Basis for Integrated Automatic Welfare Assessment Systems

Abstract: For on-farm welfare assessment many automatic methods have been developed to detect indicators of reduced welfare. However, there is still a need to integrate data from single sources to obtain a complete picture of the welfare of an animal. This review offers a basis for developing integrated automatic systems to assess dairy cow welfare by providing an overview of the main issues that challenge cow welfare (e.g., lameness) and of well-established indicators that could detect these issues on the farm. Based o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
23
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 25 publications
(23 citation statements)
references
References 114 publications
(126 reference statements)
0
23
0
Order By: Relevance
“…Higher yielding cows also have shorter lying times because they need to spend more time eating [33]. One should, therefore, not compare lying times strictly in order to define better welfare, but when comparing within a certain husbandry system, and taking certain cow specific characteristics like milk yield into consideration, lying time is an attractive indicator for welfare that could be measured automatically with a sensor [34]. Lying may be considered a sign of positive welfare, while standing is usually more a sign of negative welfare, and activity in general has no clear association with welfare, since increased activity may be more indicative of stress and pain, while decreased activity may be a sign of illness [34].…”
Section: Lying Behaviormentioning
confidence: 99%
See 1 more Smart Citation
“…Higher yielding cows also have shorter lying times because they need to spend more time eating [33]. One should, therefore, not compare lying times strictly in order to define better welfare, but when comparing within a certain husbandry system, and taking certain cow specific characteristics like milk yield into consideration, lying time is an attractive indicator for welfare that could be measured automatically with a sensor [34]. Lying may be considered a sign of positive welfare, while standing is usually more a sign of negative welfare, and activity in general has no clear association with welfare, since increased activity may be more indicative of stress and pain, while decreased activity may be a sign of illness [34].…”
Section: Lying Behaviormentioning
confidence: 99%
“…These traits are among the most important welfare indicators we have, and will give us the possibility to have early warnings about health, estrus, and welfare. They can be integrated in a system of precision livestock farming [34,165] where the computer can provide information about stall use, lying time, and number of lying bouts, which can be used to evaluate the quality of the free stalls.…”
Section: Future Perspectivesmentioning
confidence: 99%
“…One of the best ways to study animal welfare is through the observation of their behavior. In dairy cows, it is well established that lying behavior is a useful indicator of their health and welfare (e.g., [ 4 , 5 ]). Sick and lame cows usually increase their daily lying time (e.g., [ 6 , 7 , 8 ]), while mastitis is often found to reduce lying time (e.g., [ 9 , 10 ]).…”
Section: Introductionmentioning
confidence: 99%
“…As mentioned above, standing increases during heat stress (e.g., [ 16 ]) as well as in cows with mastitis [ 10 ]. Another important behavioral indicator of cow welfare is feed intake [ 5 ]. Reduced feed intake can be both a cause and a consequence of poor health and welfare.…”
Section: Introductionmentioning
confidence: 99%
“…The more recent studies include sensor data to monitor health and behaviour (Halachmi et al, 2019;Leliveld and Provolo, 2020). The use of sensor data allows non-invasive, low workintensive analyses of a diverse range of behavioural aspects.…”
mentioning
confidence: 99%