scholarly journals Validation of a Commercial Automated Body Condition Scoring System on a Commercial Dairy Farm

Animals ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 287 ◽  
Author(s):  
Israel L. Mullins ◽  
Carissa M. Truman ◽  
Magnus R. Campler ◽  
Jeffrey M. Bewley ◽  
Joao H. C. Costa
Keyword(s):  
Dairy Cattle ◽  
Body Condition ◽  
Management Practice ◽  
Interobserver Reliability ◽  
Subcutaneous Fat ◽  
The Body ◽  
Automated System ◽  
Multiple Time ◽  
Camera System ◽  
Body Condition Scoring

Body condition scoring (BCS) is the management practice of assessing body reserves of individual animals by visual or tactile estimation of subcutaneous fat and muscle. Both high and low BCS can negatively impact milk production, disease, and reproduction. Visual or tactile estimation of subcutaneous fat reserves in dairy cattle relies on their body shape or thickness of fat layers and muscle on key areas of the body. Although manual BCS has proven beneficial, consistent qualitative scoring can be difficult to implement. The desirable BCS range for dairy cows varies within lactation and should be monitored at multiple time points throughout lactation for the most impact, a practice that can be hard to implement. However, a commercial automatic BCS camera is currently available for dairy cattle (DeLaval Body Condition Scoring, BCS DeLaval International AB, Tumba, Sweden). The objective of this study was to validate the implementation of an automated BCS system in a commercial setting and compare agreement of the automated body condition scores with conventional manual scoring. The study was conducted on a commercial farm in Indiana, USA, in April 2017. Three trained staff members scored 343 cows manually using a 1 to 5 BCS scale, with 0.25 increments. Pearson’s correlations (0.85, scorer 1 vs. 2; 0.87, scorer 2 vs. 3; and 0.86, scorer 1 vs. 3) and Cohen’s Kappa coefficients (0.62, scorer 1 vs. 2; 0.66, scorer 2 vs. 3; and 0.66, scorer 1 vs. 3) were calculated to assess interobserver reliability, with the correlations being 0.85, 0.87, and 0.86. The automated camera BCS scores were compared with the averaged manual scores. The mean BCS were 3.39 ± 0.32 and 3.27 ± 0.27 (mean ± SD) for manual and automatic camera scores, respectively. We found that the automated body condition scoring technology was strongly correlated with the manual scores, with a correlation of 0.78. The automated BCS camera system accuracy was equivalent to manual scoring, with a mean error of −0.1 BCS and within the acceptable manual error threshold of 0.25 BCS between BCS (3.00 to 3.75) but was less accurate for cows with high (>3.75) or low (<3.00) BCS scores compared to manual scorers. A Bland–Altman plot was constructed which demonstrated a bias in the high and low automated BCS scoring. The initial findings show that the BCS camera system provides accurate BCS between 3.00 to 3.75 but tends to be inaccurate at determining the magnitude of low and high BCS scores. However, the results are promising, as an automated system may encourage more producers to adopt BCS into their practices to detect early signs of BCS change for individual cattle. Future algorithm and software development is likely to increase the accuracy in automated BCS scoring.

scholarly journals Relation of Automated Body Condition Scoring System and Inline Biomarkers (Milk Yield, β-Hydroxybutyrate, Lactate Dehydrogenase and Progesterone in Milk) with Cow’s Pregnancy Success

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1414
Author(s):  
Ramūnas Antanaitis ◽  
Vida Juozaitienė ◽  
Dovilė Malašauskienė ◽  
Mindaugas Televičius ◽  
Mingaudas Urbutis ◽  
...  
Keyword(s):  
Lactate Dehydrogenase ◽  
Reproductive Success ◽  
Milk Yield ◽  
Body Condition ◽  
Body Condition Score ◽  
The Body ◽  
Time Analyzer ◽  
Condition Score ◽  
Pregnancy Status ◽  
Body Condition Scoring

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.

scholarly journals Comparison of a classical with a highly formularized body condition scoring system for dairy cattle

animal ◽  
2014 ◽  
Vol 8 (12) ◽  
pp. 1971-1977 ◽  
Author(s):  
A. Isensee ◽  
F. Leiber ◽  
A. Bieber ◽  
A. Spengler ◽  
S. Ivemeyer ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Body Condition ◽  
Scoring System ◽  
Body Condition Scoring

Equine obesity and the role of the veterinary nurse

UK-Vet Equine ◽  
2021 ◽  
Vol 5 (6) ◽  
pp. 265-268
Author(s):  
Clarissa Seeley ◽  
Stella Chapman
Keyword(s):  
Body Condition ◽  
The Body ◽  
Body Condition Scoring ◽  
Client Education ◽  
Inherent Problem ◽  
Equine Obesity ◽  
The Individual ◽  
The Uk

Equine obesity is defined as a medical disease in which excess body fat has accumulated to such an extent that it has an adverse effect on the general health of the horse. Obesity is a cause for concern, with one-third of the equine population in the UK being regarded as obese, although owner recognition of obesity in horses is an inherent problem, with many underestimating the body condition or weight of their horse. This is further complicated by the fact that with larger framed horses, or horses that are already overweight, assessing body condition is more difficult. There are a number of ways to assess body condition and the most practical means of regular assessment is body condition scoring, although this is regarded as subjective. As with many diseases and disorders, the cause of obesity is multifactorial. However, the most common reason for a horse to become obese is overfeeding, coupled with a lack of exercise. Obesity can be addressed with client education and veterinary nurses can provide advice on weight management programmes. However, these need to be tailored to the individual horse and owners need to recognise that they are entering into a long-term commitment.

scholarly journals Impact of body condition on postpartum features in morada nova sheep

2016 ◽  
Vol 37 (3) ◽  
pp. 1581
Author(s):  
Felipe Brener Bezerra de Oliveira ◽  
César Carneiro Linhares Fernandes ◽  
Aline Maia Silva ◽  
Cleidson Manoel Gomes Silva ◽  
Luiz Fernando De Souza Rodrigues ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Body Condition ◽  
Body Condition Score ◽  
White Blood Cells ◽  
Subcutaneous Fat ◽  
Milk Composition ◽  
The Body ◽  
Fat Reserves ◽  
Condition Score ◽  
The Impact

This study evaluated the impact of nutritional status of Morada Nova sheep at lambing on the reproductive and productive performance and on the survival of lambs in early weaning system. Nineteen, Morada Nova sheep were assigned to two groups according to body condition score (BCS) at lambing: low BCS (n = 11) and high BCS (n=8) with body condition respectively of (mean ± SD) 2.0 ± 0.3 e 2.9 ± 0.1. From birth until lamb weaning (45 days), sheep were weighed weekly and checked the BCS, loin subcutaneous fat thickness, loin depth, hematological profile, milk composition and production, and every three days, we measured the uterine diameter. Lamb weightings were performed up to one week after weaning (52 days). The lower availability of muscle and fat reserves in the low BCS group negatively affected milk production and consequently performance of suckling lambs. However, the results indicated that the uterine involution process, the reproductive parameters including prolificacy, rate of multiple births, number of white blood cells, milk quality, body weight of lambs at birth and mortality rates were not affected by the body condition. The results allowed to describe the responsiveness to opposite nutritional status of Morada Nova sheep, showing their characteristics of adaptation.

Partition of fat, body composition and body condition score in mature cows

1984 ◽  
Vol 38 (1) ◽  
pp. 23-32 ◽  
Author(s):  
I. A. Wright ◽  
A. J. F. Russel
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Body Condition ◽  
Fat Body ◽  
Body Condition Score ◽  
Subcutaneous Fat ◽  
The Body ◽  
Live Animal ◽  
Condition Score ◽  
Friesian Cows

ABSTRACTBody condition score, assessed subjectively on the live animal, was related to the directly determined body composition of 73 mature, non-pregnant, non-lactating cows of Hereford × Friesian, Blue-Grey, Galloway, Luing and British Friesian genotypes. Relationships between condition score and chemically determined body fat were all very highly significant, and considered to be of value for predictive purposes. Differences between genotypes in the proportion of fat stored in the main depots of the body resulted in differences in the relationship between condition score and body fat. British Friesian cows had a higher proportion of their fat in the intra-abdominal depots and the lowest proportion of subcutaneous fat, resulting in their being fatter at any given condition score. Hereford × Friesian cows had the highest proportion of subcutaneous fat and were thus the least fat at any condition score. One unit change in condition score was associated with a change of 2242 (s.e. 103) MJ of body tissue energy in Hereford × Friesian, Blue-Grey, Galloway and Luing cows and 3478 (s.e. 392) MJ in British Friesian cows. These figures may be used to bring a greater degree of precision to the nutritional management of beef and dairy cows.

scholarly journals Development of a Body Condition Scoring Index for Female African Elephants Validated by Ultrasound Measurements of Subcutaneous Fat

PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e93802 ◽  
Author(s):  
Kari A. Morfeld ◽  
John Lehnhardt ◽  
Christina Alligood ◽  
Jeff Bolling ◽  
Janine L. Brown
Keyword(s):  
Body Condition ◽  
Subcutaneous Fat ◽  
African Elephants ◽  
Ultrasound Measurements ◽  
Body Condition Scoring ◽  
Scoring Index

A note on the use of a lumbar joint as a predictor of body fat depots in Aragonesa ewes with different body condition scores

1989 ◽  
Vol 49 (2) ◽  
pp. 327-329 ◽  
Author(s):  
R. Delfa ◽  
A. Teixeira ◽  
F. Colomer-Rocher
Keyword(s):  
Body Fat ◽  
Body Condition ◽  
Subcutaneous Fat ◽  
The Body ◽  
Fat Depots ◽  
Intermuscular Fat ◽  
Total Fat ◽  
Highly Correlated ◽  
Body Condition Scores

The lumbar joint, which is handled to assess body condition scores, was taken from 52 adult Rasa Aragonesa ewes with body condition scores between 1·5 and 4·5 and dissected into muscle, bone, subcutaneous and intermuscular fat. The subcutaneous fat in the lumbar joint was highly correlated with total fat in the body (r=0·97), confirming the value of this region for assessing body condition in Rasa Aragonesa ewes.

scholarly journals Body fat evaluation in Colombian Paso horses: body condition score and morphometric and ultrasound measurements

2020 ◽  
Vol 57 (4) ◽  
pp. e171082
Author(s):  
Angélica María Zuluaga Cabrera ◽  
Nathalia María Del Pilar Correa Valencia
Keyword(s):  
Body Fat ◽  
Body Condition ◽  
Body Condition Score ◽  
Subcutaneous Fat ◽  
The Body ◽  
Gluteal Region ◽  
Ultrasound Measurement ◽  
Lumbar Region ◽  
Condition Score ◽  
Definition Of

The body condition score (BCS) is insufficient in determining the amount of body fat in horses, thus defining obesity. Measurement of the subcutaneous fat thickness (SFT) by ultrasonography should be considered as an appropriate method in the definition of fat distribution at different body locations in horses. Therefore, this study aimed to 1) characterize the SFT in three different anatomical locations (i.e. neck, lumbar region, and gluteal region); 2) evaluate the relationship between BCS and SFT; 3) determine the influence of gender, weight, age, and gait on BCS and SFT measurements, and 4) explore the agreement between the morphometric measurements [i.e. body mass index (BMI), girth circumference: height at withers ratio (GC: HW), neck circumference: height at withers ratio (NC: HW)], and BCS and SFT in a population of Colombian Paso Horses (CPHs). The Henneke’s body condition scoring was applied to 69 adult CPHs,selected using a convenience sampling. Additionally, BMI, GC: HW, and NC: HW were calculated. Body fat percentage (BF%) was calculated by ultrasound measurement of the SFT in the neck, lumbar region, and gluteal region. The BF% in the CPHs was 6.4 ± 1.1. The GC: HW, NC: HW, and BMI were not predictors of the BF% or BCS, and neither gender nor gait was decisive in the definition of fattening in the study animals, although age and weight were determining variables. According to our results, ultrasound is an adequate tool to calculate the BF% of the CPHs. However, it must be accompanied by Henneke’s BCS assessment.

scholarly journals An Improved Approach to Automated Measurement of Body Condition Score in Dairy Cows Using a Three-Dimensional Camera System

Animals ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 72
Author(s):  
Rodrigo I. Albornoz ◽  
Khageswor Giri ◽  
Murray C. Hannah ◽  
William J. Wales
Keyword(s):  
Dairy Cows ◽  
Body Condition ◽  
Body Condition Score ◽  
Three Dimensional ◽  
Data Sets ◽  
Camera System ◽  
Visual Method ◽  
Condition Score ◽  
Body Condition Scoring ◽  
Over Time

Body condition scoring is a valuable tool used to assess the changes in subcutaneous tissue reserves of dairy cows throughout the lactation resulting from changes to management or nutritional interventions. A subjective visual method is typically used to assign a body condition score (BCS) to a cow following a standardized scale, but this method is subject to operator bias and is labor intensive, limiting the number of animals that can be scored and frequency of measurement. An automated three-dimensional body condition scoring camera system is commercially available (DeLaval Body Condition Scoring, BCS DeLaval International AB, Tumba, Sweden), but the reliability of the BCS data for research applications is still unknown, as the system’s sensitivity to change in BCS over time within cows has yet to be investigated. The objective of this study was to evaluate the suitability of an automated body condition scoring system for dairy cows for research applications as an alternative to visual body condition scoring. Thirty-two multiparous Holstein-Friesian cows (9 ± 6.8 days in milk) were body condition scored visually by three trained staff weekly and automatically twice each day by the camera for at least 7 consecutive weeks. Measurements were performed in early lactation, when the greatest differences in BCS of a cow over the lactation are normally present, and changes in BCS occur rapidly compared with later stages, allowing for detectable changes in a short timeframe by each method. Two data sets were obtained from the automatic body condition scoring camera: (1) raw daily BCS camera values and (2) a refined data set obtained from the raw daily BCS camera data by fitting a robust smooth loess function to identify and remove outliers. Agreement, precision, and sensitivity properties of the three data sets (visual, raw, and refined camera BCS) were compared in terms of the weekly average for each cow. Sensitivity was estimated as the ratio of response to precision, providing an objective performance criterion for independent comparison of methods. The camera body condition scoring method, using raw or refined camera data, performed better on this criterion compared with the visual method. Sensitivities of the raw BCS camera method, the refined BCS camera method, and the visual BCS method for changes in weekly mean score were 3.6, 6.2, and 1.7, respectively. To detect a change in BCS of an animal, assuming a decline of about 0.2 BCS (1–8 scale) per month, as was observed on average in this experiment, it would take around 44 days with the visual method, 21 days with the raw camera method, or 12 days with the refined camera method. This represents an increased capacity of both camera methods to detect changes in BCS over time compared with the visual method, which improved further when raw camera data were refined as per our proposed method. We recommend the use of the proposed refinement of the camera’s daily BCS data for research applications.

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