scholarly journals Development of the body condition score system in Murrah buffaloes: validation through ultrasonic assessment of body fat reserves

2010 ◽  
Vol 11 (1) ◽  
pp. 1 ◽  
Author(s):  
Anitha Alapati ◽  
Sarjan Rao Kapa ◽  
Suresh Jeepalyam ◽  
Srinivasa Moorthy Patrapalle Rangappa ◽  
Kotilinga Reddy Yemireddy
Author(s):  
Anitha Alapati ◽  
Sarjan Rao Kapa ◽  
Suresh Jeepalyam

Background: Body condition score (BCS) system is a subjective method to assess the body fat reserves particularly over the bony prominences like back and pelvic region. It is based on evaluation of the outer appearance of the animal that interacts with its body fat reserves and therefore is directly influenced by energy balance. Studies on the relationship between BCS and postpartum performance were meager in buffaloes. Hence, the present work was carried out to study the relationship between BCS at calving and postpartum performance in Murrah buffaloes. Methods: The effect of body condition score at calving (BCSc) on the postpartum performance was studied in 24 Murrah buffaloes grouped based on BCS, maintained at Buffalo Research Station during 2018-19. Result: The study showed that buffaloes of BCSc above 3.5 with significantly (P less than 0.01) higher body weights showed better reproductive performance compared to buffaloes of BCSc groups below 3.5 with less body weights. The prepartum and weekly postpartum changes in BCS studied showed that the buffaloes gained a BCS of 0.57 from 3 months prepartum to one week prepartum, lost 0.17 BCS due to calving, further showed a decline in BCS up to 9 weeks of postpartum and then started regaining BCS gradually until 18 weeks postpartum. The mean LBCS over the period of 18 weeks postpartum was comparatively higher (0.75±0.05) than BCS restored in the early lactation which was shown as GBCS (0.34±0.02). Buffaloes of BCSc group 3.5-3.99 showed the best reproduction performance among the four BCSc groups with less postpartum estrus period (46.66 days), service period (58.83 days), number of service per conception (1.50) and high rate of 1st service conception (66.66%).


Author(s):  
C. Castrillo ◽  
M. Baucells ◽  
J.A. Guada ◽  
A. Purroy ◽  
I. Sebastian

Body condition score has been shown to be highly correlated to the degree of body fatness in slaughtering experiments involving a pre-established range of body condition score in sheep at the same physiological stage,but there is a lack of evidence in animals at different physiological conditions. The aim of the present work was to evaluate the usefulness of subjectively assessed body condition score to predict the proportion of chemical fat in the body of Romanov x Rasa ewes at different stages of their reproductive cycle. An adaptation of Russel et al.(1969) condition scoring system was used in wich animals were scored on a 0 to 5 scale to the nearest 0.25 condition unit.


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 ◽  
...  

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.


1984 ◽  
Vol 38 (1) ◽  
pp. 23-32 ◽  
Author(s):  
I. A. Wright ◽  
A. J. F. Russel

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.


Author(s):  
Angélica María Zuluaga Cabrera ◽  
Nathalia María Del Pilar Correa Valencia

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.


2018 ◽  
Vol 21 (6) ◽  
pp. 459-464 ◽  
Author(s):  
Martha G Cline ◽  
Angela L Witzel ◽  
Tamberlyn D Moyers ◽  
Claudia A Kirk

Objectives The objectives for this study were to compare the body composition of adult indoor neutered domestic cats with outdoor intact cats with an ideal body condition score using dual-energy x-ray absorptiometry, and to report the body composition findings of free-roaming cats, as this has not been previously reported. Most domestic house cats differ from free-roaming cats as they are confined indoors and neutered. Indoor neutered cats have reduced activity and hormonal alterations that may result in lower muscle mass and higher body fat percentages vs outdoor intact cats, despite similar body condition scores. Methods Twenty-one outdoor intact cats (10 male, 11 female) were selected from a trap–neuter–return program and 16 indoor neutered domestic cats (10 male, six female) were client-owned. Inclusion criteria included an estimated age between 1 and 6 years, complete blood count, biochemistry panel, urinalysis, total thyroxine, feline leukemia virus/feline immunodeficiency virus screening and a body condition score of 4–5/9. Results Indoor neutered cats had a higher body fat percentage (22.1% [range 17.3–28.2%]) than outdoor intact cats (17.3% [range 10.0–33.6%]; P = 0.002). Indoor neutered male cats had a higher body fat percentage ( P <0.001) than outdoor intact cats. No difference in body fat percentage was observed in female cats ( P = 0.159). Indoor neutered domestic cats had a higher bone mineral density than outdoor intact cats ( P = 0.023). Conclusions and relevance The results of this study suggest indoor confinement and neutering increase body fat percentage and bone mineral density in cats with an ideal body condition score.


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.


1984 ◽  
Vol 38 (1) ◽  
pp. 33-44 ◽  
Author(s):  
I. A. Wright ◽  
A. J. F. Russel

ABSTRACTA number of possible indices of body composition (live weight, skeletal size, total body water as estimated by deuterium oxide dilution, blood and red cell volumes as estimated by Evans Blue dilution, ultrasonic measurements of subcutaneous fat depth and eye-muscle area, and body condition scoring) was examined using 73 non-pregnant, non-lactating, mature cows of Hereford × Friesian, Blue-Grey, British Friesian, Galloway and Luing genotypes, ranging in body condition score from 0·75 to 4·5. Direct measurements of body composition in terms of water, fat, protein and ash were made following slaughter.Live weight, deuterium oxide dilution, ultrasonic measurements of subcutaneous fat depth and eyemuscle area, and body condition score were all considered to be potentially useful predictors of body composition. Combinations of techniques offered better predictions than did any single index. Using a combination of measurements it was possible to predict body fat and protein with a residual s.d. of 13·1 kg and 3·15 kg respectively. Breed differences in the partition of fat among the main adipose tissue depots necessitated the development of specific prediction equations for body fat based on condition score and subcutaneous fat depth for different breeds. Equations remain to be developed for predicting body composition in cows in different physiological states.


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