scholarly journals Correlation of Body Condition Score (SKT) to Limousin Cattle Reproduction Status in Purwantoro District, Wonogiri Regency

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ilham Fandi Ahmad ◽  
Engkus Ainul Yakin ◽  
Ludfia Windyasmara
Keyword(s):  
Body Condition ◽  
Body Condition Score ◽  
The Body ◽  
Conception Rate ◽  
Reproductive Status ◽  
Data Recording ◽  
Analysis Technique ◽  
Condition Score ◽  
Cattle Reproduction ◽  
Difference Test

This study aims to determine the correlation between the Body Condition Score (SKT) on the reproductive status of limousine cattle in Purwantoro District, Wonogiri Regency. The research was conducted in 6 villages, namely Sumber Galih Village, Gondang Village, Joho Village, Kenteng Village, Purwantoro Village and Miricinde Village in Purwantoro District, Wonogiri Regency. ateri in the study were female limousine cows aged 2-4 years (productive age). Methods of data collection were carried out by conducting observations, direct interviews with breeders, and recording reproduction data from predetermined samples. Observations were made to assess the Body Condition Score (SKT). Interviews and reproduction data recording were carried out to assess reproduction views which included Service Per Conseption (S / C), Conception Rate (CR) scores or conception rates. The data analysis technique used is the t-test difference test (SPSS). The results showed that limousine cows with high HCS had low S / C values and high CR values, while limousine cows with low HCS had high S / C values and low CR values, so there was a correlation between HCS and reproductive status, namely the higher SKT gets better reproductive status and vice versa.Keywords: Conception rate, Limousine cow, Service per conseption, Body condition score

scholarly journals Relationships among body condition score, milk yield and reproduction in Czech Fleckvieh cows

2008 ◽  
Vol 53 (No. 9) ◽  
pp. 357-367 ◽  
Author(s):  
F. Jílek ◽  
P. Pytloun ◽  
M. Kubešová ◽  
M. Štípková ◽  
J. Bouška ◽  
...  
Keyword(s):  
Milk Yield ◽  
Body Condition ◽  
Body Condition Score ◽  
The Body ◽  
Yield Level ◽  
Subsequent Decrease ◽  
Before And After ◽  
Condition Score ◽  
Statistical Program ◽  
Cattle Reproduction

The objective of this study was to confirm the relationship among body condition score at the time around parturition, milk yield in subsequent lactation, reproductive efficiency and BCS development in Czech Fleckvieh dairy cows. The BCS and milk yield were measured once a month and the cows were divided into groups according to their BCS before and after calving. Next, data from the database of cattle reproduction of the Czech Fleckvieh herd book were used. The dataset was analyzed by multifactorial analysis of variance using procedures COOR and GLM of the statistical program SAS. Cows with lower BCS in the 1<sup>st</sup> month after calving showed an increase in both milk yield and fat and protein corrected milk (FPCM) yield. No significant relationship was found between the BCS level before calving and subsequent milk yield. The body condition level in the last month before parturition influenced its subsequent decrease in the first phase of lactation. The group of cows with the highest BCS level before calving retained a high BCS level in the first five months of lactation. Adequately, the group of cows with the lowest BCS in the first month of lactation had the lowest BCS in the next four months. BCS before calving was not related to reproduction indicators, but the significant effect of BCS in the 1<sup>st</sup> month after calving on the length of calving to the first service interval was confirmed. The group of cows with BCS > 3.5 in the 1<sup>st</sup> month after calving had the most favourable reproduction indicators, also when the milk yield level was taken into account.

scholarly journals PENGUKURAN NILAI KONDISI TERNAK (NKT), CONCEPTION RATE (CR), SERVICE PER CONCEPTION (S/C) PADA SAPI CROSSBREED LIMOUSIN DI KECAMATAN BALONGPANGGANG KABUPATEN GRESIK

2020 ◽  
Vol 8 (1) ◽  
pp. 76
Author(s):  
Fajar Septian H ◽  
Imam Mustofa ◽  
Bambang Sektiari L.
Keyword(s):  
Body Condition ◽  
Artificial Insemination ◽  
Body Condition Score ◽  
The Body ◽  
Conception Rate ◽  
Crossbred Cows ◽  
Pregnancy Diagnosis ◽  
Condition Score ◽  
Rectal Palpation

This research was conducted to find out the Body Condition Score (BCS, in nine scale) of 30 Limousine crossbred cows in Balongpanggang, Gresik regency at the time of  Artificial Insemination,  21 and 60 days later. Questionnaires obtained to identify the knowledge of farmers and inseminators in estrous detection. Conception Rate (CR) and Service per Conception (S/C) counted based on pregnancy diagnosis through rectal palpation 60 days post insemination. The result showed that the average of BCS in pregnant cows at 60 days post insemination was highest compared to the others. Conception rate and service per conception of the cows were 60% and 1.63 respectively, meanwhile the knowledge of estrous detection of farmers was lower compared to those of inseminator. It could be concluded that implementation of AI technique in Limousine crossbred cows at Balongpanggang, Gresik regency was good enough, but the knowledge of farmers about estrous detection needs to be improved.

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 PSX-2 Growth and lactating performance of ewes fed with different energy levels

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 467-468
Author(s):  
Fernanda F Santos ◽  
Luciano Brochine ◽  
Vanderlei Benetel Junior ◽  
Maria Laura R Coelho ◽  
Augusto H Gameiro ◽  
...  
Keyword(s):  
Body Weight ◽  
Milk Production ◽  
Body Condition ◽  
Dry Matter ◽  
Body Condition Score ◽  
Energy Levels ◽  
The Body ◽  
Metabolizable Energy ◽  
Significant Difference ◽  
Condition Score

Abstract The objective of this study was to evaluate the milk production, body weight, and body condition score (BCS) of ewes fed with different energy levels. Seventy-one ewes were used and distributed in three treatments according to the metabolizable energy (ME, Mcal/kg) levels in the diet: CTL = according to the NRC (2007) recommendation for each stage (gestation and lactation); PLUS = CTL plus 10% of ME per kilogram of dry matter; LESS = CTL less 10% ME per kilogram of dry matter. Body weight and body condition score were evaluated a week before the expected date of parturition, a week after giving birth, and at weaning (60 days). Dairy production was evaluated at 20, 30, 40, 50 and 60 days after giving birth by the indirect method of the two weighing. The experimental design was analyzed as randomized complete blocks. There were no differences on milk production during almost all the lactation curve. Only on day 50 (P = 0.051), CTL was still at peak, while LESS and PLUS had already decreased their production. However, at 60 days, all treatments were already with low production, justifying weaning in this period. Results of weight and BCS showed a significant difference in all periods evaluates. Ewes in the PLUS diet had greater BW and BCS. The BCS before giving birth is expected to be over 3.5 and treatment LESS was the only one that did not achieve this score (2.66, 3.37, 3.83 for LESS, CTL, and PLUS, respectively). At weaning, ewes fed PLUS and CTL had BCS of 3.51 and 2.92, respectively, but treatment LESS had only 1.82. That is prejudicial for the next mating seasonal and this animal. We concluded that LESS diet interfered with the body reserves of sheep.

scholarly journals Lameness in Sheltered Cows and Its Association with Cow and Shelter Attributes

Animals ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 360 ◽  
Author(s):  
Arvind Sharma ◽  
Clive J. C. Phillips
Keyword(s):  
Risk Factors ◽  
Body Condition ◽  
Body Condition Score ◽  
Cross Sectional Study ◽  
The Body ◽  
Cross Sectional ◽  
Joint Injuries ◽  
Condition Score ◽  
Carpal Joint ◽  
Associated Risk Factors

The sheltering of old, unproductive and abandoned cows in traditional cow shelters, known as gaushalas, has been practiced in India since ancient times. Cows are kept in these shelters until they die of natural causes. The welfare of the cows in these shelters was assessed through a cross-sectional study of 54 cow shelters in six states of India. A total of 1620 cows were examined to assess the prevalence of lameness in these cows, and the associated risk factors for lameness were identified through the measurement of animal-based and resource-based welfare indicators. The overall lameness prevalence was 4.2%. The majority (86%) had mild to moderate hock joint swellings but no or only mild carpal joint injuries. Approximately one-half had mild to moderate hock joint hair loss and most were free of hock joint ulcerations. Claw overgrowth was present in almost one half of the cows. Lameness prevalence was positively correlated with coat dirtiness, hock and carpal joint lesions, diarrhea and claw overgrowth scores. In a multivariate analysis, lameness prevalence increased as the Body Condition Score (BCS) decreased and was associated with increased udder dirtiness, the ulceration of the hock joint, carpal joint injuries and claw overgrowth. Resource-based indicators measured at the shelter level suggested that an absence of bedding in the sheds and an increase in the gradient of the shed flooring increased lameness. Addressing the principle risk factors identified for lameness in the sheltered cows (low body condition, dirty udders, lesions on the hock and carpal joints, overgrown claws, and a steep floor gradient) may help to reduce this serious animal welfare problem.

Effect of herbage allowance on productive and reproductive responses of primiparous beef cows grazing on Campos grassland

2018 ◽  
Vol 58 (9) ◽  
pp. 1615 ◽  
Author(s):  
Martín Claramunt ◽  
Andrea Fernández-Foren ◽  
Pablo Soca
Keyword(s):  
Body Condition ◽  
Body Condition Score ◽  
Block Design ◽  
Beef Cows ◽  
Climatic Conditions ◽  
The Body ◽  
Stocking Rate ◽  
Early Postpartum ◽  
Grazing System ◽  
Condition Score

The effects of two levels of herbage allowance (HA, kg DM/kg liveweight (LW)) on forage mass and chemical composition, cow body condition score, cow LW, stocking rate, productive and reproductive responses were evaluated during two consecutive years. Eighty primiparous spring-calving beef cows were allocated to a completely randomised block design of two HA that had an annual average of 2.5 (low) and 4.0 kg DM/kg LW (high) from –150 to 195 days postpartum. The grazing system was continuous, and the put-and-take method was employed to adjust HA. At 86 ± 12 days postpartum, all cows were submitted to calf suckling restrictions with nose plates (12 days) and dietary flushing (2 kg/cow.day of whole-rice bran for 22 days), 6 days before bull introduction. Forage mass was affected by HA (P = 0.004) and year (P = 0.014); the high HA had a greater forage mass than the low HA (1474 vs 1212 ± 86 kg DM/ha; P < 0.05), and Year 2 had a greater forage mass than Year 1 (1545 vs 1134 ± 78 kg DM/ha; P < 0.05). Stocking rate was affected by HA and season (P = 0.0004) interaction. The stocking rate during autumn and spring was greater in low than high HA, and no differences were identified in winter and summer. The body condition score was improved in high HA during autumn and resulted in a greater winter (mid-gestation) body condition score than the low HA without differences during spring-summer (postpartum). Cow LW was lower during autumn, winter and early postpartum (16 days postpartum) in low HA in Year 1 than high HA of Year 1 and high and low HA cows in Year 2. Furthermore, the probability of total pregnancies (0.88 vs 0.59 ± 0.07; P = 0.01) and the calf weight adjusted to 205 days (194 vs 175 ± 16 kg; P < 0.05) were greater in high HA. Calf weight adjusted to 205 days (Year 1: 192 vs Year 2: 177 ± 16 kg; P < 0.05) and survival curves of postpartum anoestrus (P = 0.01) were affected by year but did not affect the probability of conception, early or total pregnancies. In conclusion, the reproductive and productive responses of primiparous beef cows grazing Campos grasslands were improved in high HA and could contribute to alleviating adverse climatic conditions effects.

scholarly journals Body Condition Score and Milk Production on Conception Rate of Cows under a Small-Scale Dairy System

Animals ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 800
Author(s):  
Luis Javier Montiel-Olguín ◽  
Felipe J. Ruiz-López ◽  
Miguel Mellado ◽  
Eliab Estrada-Cortés ◽  
Sergio Gómez-Rosales ◽  
...  
Keyword(s):  
Milk Production ◽  
Body Condition ◽  
Body Condition Score ◽  
Metabolic Stress ◽  
Dairy Farms ◽  
Conception Rate ◽  
Small Scale ◽  
Condition Score ◽  
The Impact ◽  
Small Scale Dairy

Management and production characteristics impact conception rate to first service (CR1S) in small-scale dairy farms, but the impact of body condition score (BCS) and milk production levels on cows’ fertility is unknown. Our objective is to determine the effect of BCS and milk production on CR1S in small-scale dairy farms of western Mexico. Logistic regression models are used to determine the effect of BCS (at calving and first service), 60-d and 305-d milk production, protein and fat production, lactation number, and days at first service on CR1S. BCS at calving does not affect CR1S in cows with three or more lactations (39.5%; p > 0.1). However, first-lactation cows with BCS < 3.0 at calving and second lactation cows with BCS ≤ 2.5 at calving have higher CR1S (63.2 and 67.9%, respectively; p < 0.1). This result is perhaps due to reduced milk production, which leads to lower metabolic stress. BCS ≤ 2.5 at calving is associated (p < 0.05) with a reduced milk yield, explaining partially the observed higher CR1S in these groups. Cows with BCS ≤ 2.5 at first service in the higher quartile of 60-d milk production (≥ 28kg/day) show lower CR1S (23.9 and 51.1%, respectively; p < 0.01). In conclusion, BCS at calving and at first service, 60-d milk production, and lactation number are factors associated with CR1S.

scholarly journals Weight estimation and hormone concentrations related to body condition in Icelandic and Warmblood horses: a field study

2019 ◽  
Vol 61 (1) ◽  
Author(s):  
Rasmus Bovbjerg Jensen ◽  
Lucca Louise Rockhold ◽  
Anne-Helene Tauson
Keyword(s):  
Body Weight ◽  
Body Condition ◽  
Body Condition Score ◽  
Plasma Concentrations ◽  
The Body ◽  
Neck Length ◽  
Morphometric Measurements ◽  
Body Weights ◽  
Condition Score ◽  
Correct Determination

Abstract Background The main objectives of this study were to evaluate the accuracy of different body weight formulas for estimating body weight of Icelandic and Warmblood horses, as well as to assess the associations between the variables cresty neck score, body condition score, and plasma concentrations of leptin, insulin and cortisol. A total of 81 adult (≥ 4 years of age) horses (43 Icelandic and 38 Warmblood horses) was included in this study. The following morphological measurements were collected by two examiners simultaneously; body weight; height at withers; neck length; 0.5 neck length; neck circumference; umbilical circumference, two different heart girths, as well as two different body length measurements. The horse’s body weights were measured on a weight scale, and cresty neck scores were rated along with body condition scores using both the 0 to 5 and the 1 to 9 systems. Results In general, the concordance correlation coefficient was high for most formulas, but the mean bias and slope bias deviations varied between formulas. Some simple formulas using only heart girth, or heart girth and length can be used to estimate body weight of Icelandic and Warmblood horses as good as more complex formulas using four morphometric measurements. Plasma concentrations of leptin and insulin were higher (P < 0.001) for the Icelandic than the Warmblood horses, probably reflecting higher body fat content as suggested by the differences in body condition score. Conclusions Body weight formulas only give an estimate of body weight and not a completely correct determination. Some simple and more complex formulas can be used for Icelandic horses even though they are not developed for this breed. Complex formulas using four morphometric measurements were accurate, but simple formulas using only heart girth, or heart girth and length can be used to estimate body weight and thereby be applied to weight tapes and used to estimate the body weight of both Icelandic and Warmblood horses.

scholarly journals Body Condition Score Estimation Based on Regression Analysis Using a 3D Camera

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3705
Author(s):  
Thi Thi Zin ◽  
Pann Thinzar Seint ◽  
Pyke Tin ◽  
Yoichiro Horii ◽  
Ikuo Kobayashi
Keyword(s):  
Body Condition ◽  
Large Scale ◽  
Body Condition Score ◽  
Absolute Error ◽  
The Body ◽  
Analytical Models ◽  
Percentage Error ◽  
Time Saving ◽  
3D Camera ◽  
Condition Score

The Body Condition Score (BCS) for cows indicates their energy reserves, the scoring for which ranges from very thin to overweight. These measurements are especially useful during calving, as well as early lactation. Achieving a correct BCS helps avoid calving difficulties, losses and other health problems. Although BCS can be rated by experts, it is time-consuming and often inconsistent when performed by different experts. Therefore, the aim of our system is to develop a computerized system to reduce inconsistencies and to provide a time-saving solution. In our proposed system, the automatic body condition scoring system is introduced by using a 3D camera, image processing techniques and regression models. The experimental data were collected on a rotary parlor milking station on a large-scale dairy farm in Japan. The system includes an application platform for automatic image selection as a primary step, which was developed for smart monitoring of individual cows on large-scale farms. Moreover, two analytical models are proposed in two regions of interest (ROI) by extracting 3D surface roughness parameters. By applying the extracted parameters in mathematical equations, the BCS is automatically evaluated based on measurements of model accuracy, with one of the two models achieving a mean absolute percentage error (MAPE) of 3.9%, and a mean absolute error (MAE) of 0.13.

Sign in / Sign up

Export Citation Format

Share Document