Does body condition scoring portray an accurate representation of a horse's condition when compared to other morphological techniques?

2021 ◽  
Vol 12 (7) ◽  
pp. 336-343
Author(s):  
Alicia Turner ◽  
Stella Chapman

Background: The assessment of a horse's condition is generally carried out using body condition scoring, cresty neck scoring or weigh taping. Aim: The objective of this study was to investigate the accuracy of body condition scoring in comparison to other commonly used morphological condition assessment techniques. Methods: A recognised and well-established body condition scale adapted from Henneke et al (1983) was used, and the subsequent scores from this were compared to cresty neck scores, rump width measurements and belly and heart girth measurements. The study was carried out using seven horses and seven volunteers, who assessed each horse identifying any differences or similarities in each assessor's condition assessment. Results: The rump width measurements were the most accurately assessed condition assessment; however, using rump width measurements alone, a whole-body condition assessment cannot be made. Conclusion: It is therefore recommended that it should be combined with other condition assessments to create a whole-body assessment, with detailed localised adiposity information.

2017 ◽  
Vol 27.2 (02) ◽  
pp. 10-11 ◽  
Author(s):  
Stefan Störk

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1414
Author(s):  
Ramūnas Antanaitis ◽  
Vida Juozaitienė ◽  
Dovilė Malašauskienė ◽  
Mindaugas Televičius ◽  
Mingaudas Urbutis ◽  
...  

The aim of the current study was to evaluate the relation of automatically determined body condition score (BCS) and inline biomarkers such as β-hydroxybutyrate (BHB), milk yield (MY), lactate dehydrogenase (LDH), and progesterone (mP4) with the pregnancy success of cows. The cows (n = 281) had 2.1 ± 0.1. lactations on average, were 151.6 ± 0.06 days postpartum, and were once tested with “Easy scan” ultrasound (IMV imaging, Scotland) at 30–35 d post-insemination. According to their reproductive status, cows were grouped into two groups: non-pregnant (n = 194 or 69.0% of cows) and pregnant (n = 87 or 31.0% of cows). Data concerning their BCS, mP4, MY, BHB, and LDH were collected each day from the day of insemination for 7 days. The BCS was collected with body condition score camera (DeLaval Inc., Tumba, Sweden); mP4, MY, BHB, and LDH were collected with the fully automated real-time analyzer Herd Navigator™ (Lattec I/S, Hillerød, Denmark) in combination with a DeLaval milking robot (DeLaval Inc., Tumba, Sweden). Of all the biomarkers, three differences between groups were significant. The body condition score (BCS) of the pregnant cows was higher (+0.49 score), the milk yield (MY) was lower (−4.36 kg), and milk progesterone in pregnant cows was (+6.11 ng/mL) higher compared to the group of non-pregnant cows (p < 0.001). The pregnancy status of the cows was associated with their BCS assessment (p < 0.001). We estimated that cows with BCS > 3.2 were 22 times more likely to have reproductive success than cows with BCS ≤ 3.2.


animal ◽  
2014 ◽  
Vol 8 (12) ◽  
pp. 1971-1977 ◽  
Author(s):  
A. Isensee ◽  
F. Leiber ◽  
A. Bieber ◽  
A. Spengler ◽  
S. Ivemeyer ◽  
...  

2006 ◽  
Vol 55 (2) ◽  
pp. 121-130 ◽  
Author(s):  
Leo O. Fiems ◽  
Wim Van Caelenbergh ◽  
Sam De Campeneere ◽  
Daniël L. De Brabander

2019 ◽  
Vol 14 (2) ◽  
pp. 126-131
Author(s):  
Dillip Kumar Puhan ◽  
Rajat Sharma ◽  
B. Nageshwar Rao ◽  
K. P. Meena ◽  
◽  
...  

2020 ◽  
Vol 82 (10) ◽  
Author(s):  
Lisa A. Reamer ◽  
Sarah J. Neal Webb ◽  
Rebekah Jones ◽  
Erica Thiele ◽  
Rachel L. Haller ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document