Evidence map›Paper›PMID 28367363›Full record

ArticlePeerJ2017

A functional approach to the body condition assessment of lactating donkeys as a tool for welfare evaluation.

Emanuela Valle, Federica Raspa, Marzia Giribaldi, Raffaella Barbero, Stefania Bergagna, Sara Antoniazzi, Amy K Mc Lean, Michela Minero, Laura Cavallarin

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Systematic Literature Review on Donkeys (Animals : an open access journal from MDPI · 2025
    Review
  5. Article
  6. Physical Measures of Welfare in Fin (Animals : an open access journal from MDPI · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Emanuela ValleDepartment of Veterinary Science, University of Turin , Grugliasco (Torino) , Italy.
Federica RaspaDepartment of Veterinary Science, University of Turin , Grugliasco (Torino) , Italy.
Marzia GiribaldiISPA-CNR, Institute of Sciences of Food Production , Grugliasco , Italy.
Raffaella BarberoThe Veterinary Medical Research Institute for Piemonte, Liguria and Valle d'Aosta , Torino , Italy.
Stefania BergagnaThe Veterinary Medical Research Institute for Piemonte, Liguria and Valle d'Aosta , Torino , Italy.
Sara AntoniazziISPA-CNR, Institute of Sciences of Food Production , Grugliasco , Italy.
Amy K Mc LeanNorth Carolina State University, Animal Science , Raleigh , NC , USA.
Michela MineroDepartment Veterinary Science and Public Health, University of Milano , Milano , Italy.
Laura CavallarinISPA-CNR, Institute of Sciences of Food Production , Grugliasco , Italy.
Institute of Sciences of Food Production · ITIstituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d'Aosta · ITUniversity of Turin · ITNorth Carolina State University · USUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe breeding of lactating donkeys is increasing in Western Europe; with it the evaluation of body condition is growing in importance since it is considered a key principle for their welfare. However, assessment of body condition is a complex task, since several factors are involved. The aim of the present study is to investigate which animal-based indicators are the most reliable to describe the body condition of lactating donkeys. For this purpose, new animal-based indicators, which are easy to measure in field conditions (including body measurements, fatty neck score (FNS), dental score), are recorded and their relationship with BCS (a proxy measure for overall adiposity) was assessed. The ones that reveal an association with the BCS are included in an integrated principal component analysis to understand which are the most related to BCS.

methodsFifty-three healthy lactating donkeys of various breeds, including 7 Martina Franca, 10 Ragusano, 2 Romagnolo and 34 crossbreeds, were evaluated. The animal-based indicators that were recorded were: length (OP, olecranon tuber-pinbone and SH, shoulder-hip), heart girth (HG), abdominal circumference (AC), neck length (NL), neck height (NH) and neck thickness (NT) at 0.50 and neck circumference (NC) at 0.25, 0.50 and 0.75, body condition score (BCS) and fatty neck score (FNS). The owners' evaluation of the BCS was also considered. A dental assessment was performed and the month of lactation and age of each animal was recorded.

resultsNo correlation was found between BCS and the other morphometric body measurements. On the contrary the FNS was correlated with the morphometric measurements of the neck (positive correlation to 0.50 NH and 0.50 NT, 0.50 NC, 0.75 mean NC, and negative correlation to the mean NC:NH and mean NC:NT, 0.50 NC:NT and 0.50 NC:NH ratios). A significant inverse relationship was identified between BCS and dental score. A Principal Component analysis (PCA) separated the BCS classes on the first principal component (PC1). PC1 revealed a meaningful positive correlation between the BCS and the neck measurements (NT, NH and FNS), with high positive loadings, while a negative correlation was found for dental abnormalities. The owners' evaluation of BCS was different from the expert evaluator' assessment, since they tended to give higher score that was slightly but significantly correlated to AC. DISCUSSION: A new scoring system, called Fatty Neck Score (FNS), has been proposed for the judgement of the adiposity status of donkey neck. The results suggest that caregivers might use the proposed animal based indicators (BCS, FNS and dental scores) together as a tool for the evaluation of the body condition of lactating donkeys. Our findings highlight that caregivers need to be trained in order to be able to properly record these indicators. Ultimately use of these indicators may help to improve the welfare of lactating donkeys.

Indexed as

Body conditionDonkeyFatty neck scoreWelfare

Identifiers

PMID28367363
PMCPMC5372837
OpenAlexW2603779246

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.