scholarly journals Prediction of the meat content of the carcass and valuable carcass parts in French lop rabbits using some traits measured in vivo and post mortem

2011 ◽  
Vol 51 (No. 9) ◽  
pp. 406-415 ◽  
Author(s):  
D. Michalik ◽  
A. Lewczuk ◽  
E. Wilkiewicz-Wawro ◽  
W. Brzozowski
Keyword(s):  
Body Weight ◽  
Carcass Weight ◽  
Head Width ◽  
Regression Equations ◽  
Post Mortem ◽  
Hip Circumference ◽  
Thigh Circumference ◽  
Meat Weight ◽  
Chest Girth

The experiment was performed on 60 French lop rabbits raised under extensive conditions and sacrificed at body weight of about 3 kg. It was found that the best indicators of meat weight (g) in rabbit carcasses were body weight, head width and lower thigh length among the traits measured in vivo, and carcass weight, chest girth and thigh circumference among the traits measured post mortem. In vivo prediction of saddle meatiness may be based on body weight, trunk length and thigh length, whereas post-slaughter estimation – on carcass weight, hip circumference and thigh circumference. Total meat weight in the hind half of the carcass may be predicted in vivo on the basis of body weight, head width and lower thigh length, and post mortem – on the basis of carcass weight, chest girth, hip circumference, thigh circumference and pelvic width. Multiple regression equations for meat weight estimation in the whole carcass and its middle and hind part were derived in the study. These equations may be applied in selection work directed towards an improvement in carcass meatiness. They may also be used to evaluate the results of experiments conducted on French lops.  

scholarly journals Body weight, body measurements and slaughter characteristics of Madura cattle raised in Pamekasan District, East Java Province, Indonesia

2020 ◽  
Vol 21 (8) ◽  
Author(s):  
PENI WAHYU PRIHANDINI ◽  
DYAH MAHARANI ◽  
Sumadi Sumadi
Keyword(s):  
Body Weight ◽  
Body Length ◽  
The Body ◽  
Carcass Weight ◽  
Body Measurements ◽  
Mean Values ◽  
Slaughter Weight ◽  
Meat Weight ◽  
Chest Girth ◽  
Female Cattle

Abstract. Prihandini PW, Maharani D, Sumadi. 2020. Body weight, body measurements, and slaughter characteristics of Madura cattle raised in Pamekasan District, East Java Province, Indonesia. Biodiversitas 21: 3415-3421.  This study was designed to analyze the body weight, body measurements and slaughter characteristics of Madura cattle raised in Pamekasan district, East Java province, Indonesia. A total of 2,373 records on live body weight and body measurements (body length, height at withers and chest girth), and 69 records on slaughter traits (slaughter, carcass, and meat weight, as well as carcass and meat percentage) from both sexes were used. Sampled animals were divided into three groups based on age (calf: 0- to10-month-old; young: 11- to 24-month-old; adult: >24-month-old). The data were analyzed using independent sample t-test to assess significant differences between sex groups and subjected to multiple linear regression analyses to obtain prediction equations of body weight from body measurements, carcass weight from slaughter weight, and meat weight from slaughter- and carcass-weight. Results showed that body weight, height at withers, and chest girth between male and female cattle in all age groups were significantly different (P<0.05). Male cattle showed higher slaughter weight, carcass weight and carcass percentage mean values than female cattle. Body measurements showed high correlation with body weight (r ≥0.80). Height at withers, body length, and chest girth represented good body measurements to predict body weight (R2 = from 0.65 to 0.83). Moreover, as observed, high correlations between slaughter weight and carcass- (r = 0.94; R2 = 0.89) and meat-weight (r = 0.99; R2 = 0.98) would imply that meat weight could be predicted accurately from slaughter- and carcass-weight.

scholarly journals Morphological characterization of Arab and Oromo goats in northwestern Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Oumer Sheriff ◽  
Kefyalew Alemayehu ◽  
Aynalem Haile
Keyword(s):  
Body Weight ◽  
Coat Color ◽  
Strong Association ◽  
Correlation Coefficients ◽  
Field Research ◽  
Morphological Characterization ◽  
The Body ◽  
Regression Equations ◽  
Body Measurements ◽  
Chest Girth

Abstract Background An exploratory field research was conducted in northwestern Ethiopia, to characterize the morphological features of Arab and Oromo goat populations as an input to design community-based breeding programs. Ten qualitative and nine quantitative traits were considered from 747 randomly selected goats. All data collected during the study period were analyzed using R statistical software. Results Plain white coat color was predominantly observed in Arab goats (33.72%) while plain brown (deep and light) coat color was the most frequent in Oromo goats (27.81%). The morphometric measurements indicated that Oromo goats have significantly higher body weight and linear body measurements than Arab goats. Positive, strong and highly significant correlations were obtained between body weight and most of the body measurements in both goat populations. The highest correlation coefficients of chest girth with body weight for Arab (r  =  0.95) and Oromo (r  =  0.92) goat populations demonstrated a strong association between these variables. Live body weight could be predicted with regression equations of y  =  − 33.65  +  0.89  ×  for Arab goats (R2  =  90) and y  =  − 37.55  +  0.94  ×  for Oromo goats (R2  =  85), where y and x are body weight and chest girth, respectively, in these goat types. Conclusions The morphological variations obtained in this study could be complemented by performance data and molecular characterization using DNA markers to guide the overall goat conservation and formulation of appropriate breeding and selection strategies.

Corrigendum - Comparative breed studies of beef cattle. III. Carcass composition

1964 ◽  
Vol 15 (2) ◽  
pp. 333
Author(s):  
NM Tulloh
Keyword(s):  
Body Weight ◽  
Age Groups ◽  
Carcass Composition ◽  
Carcass Weight ◽  
Published Data ◽  
Regression Equations ◽  
Comparison Study ◽  
Differential Growth ◽  
Breed Differences ◽  
Breed Comparison

An investigation was made of published data on the carcass composition of cattle, based on dissection of carcasses into bone, muscle, and fat. The data included females and castrate males, without regard to breed, age, or nutritional history. It was found that the relation between each carcass component and empty body weight could be described by a linear regression equation by using logarithmic values for the variables. The differential growth ratios given by the regression equations indicated, as empty body weight increased, that: (a) the weight of each of the dissected carcass components (i.e. bone, muscle, and fat) also increased; (b) the proportion of carcass bone fell, that of fat increased, and that of muscle remained almost constant. The relations between dissected bone, muscle, and fat and carcass weight were similar to those obtained between dissected carcass components and empty body weight. To obtain evidence on whether the differential growth ratios between dissected carcass components and empty body weight or carcass weight showed any change throughout post-natal life, quadratic equations were computed by using logarithmic values for the variables. These ratios fell for all carcass components, but in only three out of six equations were the quadratic terms statistically significant. This re-examination of published data indicates that any comparisons of the carcass composition of cattle may be invalid unless they are made at the same body (or carcass) weights. In addition, a comparison made by using regression equations, with the variables expressed as percentages, is confusing because it may not reveal abnormal composition in animals of particular weights. A satisfactory type of analysis can be made by using regression techniques with the original data. The above principles of analysis were applied in a breed comparison study of the carcass composition of 28 Hereford, 25 Angus, and 18 Shorthorn steers. These cattle comprised two age groups, born in 1957 and 1958 respectively. Carcass composition was estimated by dissecting, into bone, muscle and fat, the left and right 11th ribcuts from the carcasses of the 1957 steers, and the 9th–10th–11th rib-cuts from the left sides of the carcasses of the 1958 steers. When the rib-cut data were plotted, the relations appeared linear; the data were therefore analysed by using linear regressions with arithmetical values for the variables. Results showed that the fat content was greater and the muscle content smaller in the rib-cuts of the Shorthorns in both years than in those of either Hereford or Angus steers. Differences between Herefords and Angus were small. In view of the high correlations found by other workers between the results of rib-cut dissections and carcass composition, it is assumed that the breed differences reported here in rib-cut composition were reflections of breed differences in carcass composition. The carcass compositions of the cattle used in the breed comparison study were also estimated from hot carcass weight by using regression equations derived from the literature. A comparison of the two methods of estimating carcass composition suggests that, if hot carcass weight is to be used, regression equations will need to be developed for each breed in various environments.

Effects of three different growth rates on empty body weight, carcass weight and dissected carcass composition of cattle

1974 ◽  
Vol 82 (3) ◽  
pp. 535-547 ◽  
Author(s):  
D. M. Murray ◽  
N. M. Tulloh ◽  
W. H. Winter
Keyword(s):  
Body Weight ◽  
Growth Rates ◽  
Subcutaneous Fat ◽  
Allometric Equation ◽  
Carcass Composition ◽  
Carcass Weight ◽  
Abdominal Muscles ◽  
Regression Equations ◽  
General Group ◽  
Relative Growth

SUMMARYA study was made of the effect on body composition of growing Angus steers from 300 to 440 kg at three different rates. The rates were: High (H) 0·8 kg/day, Low (L) 0·4 kg/day and High-Maintenance (HM) 0·8 kg/day followed by a period during which body weight was maintained constant.The animals were individually penned and the different growth rates were achieved by controlling intakes of a pelleted feed. Two animals (part of H treatment) were killed at 300 kg and the remaining 27 animals (nine in each treatment), were killed at common body weights of 330, 363, 400 and 440 kg.Analyses of covariance were used to compare linear regression equations representing results from each treatment. In order to do this, the logarithmic transformation of the allometric equation, y = axb, was used. As a proportion of empty body weight (EBW), hot carcass weight (HCW) was greater in both the HM and L groups than in the H group, indicating a greater offal component of EBW in the H animals. The loss in weight of the dressed carcass during storage at 2 °C for 24 h was similar in all three groups and was 0·98% of HCW. The proportions of HCW in the fore- and hind-quarters were similar in each group.At the same dissected side weight (DSW), the weight of bone was significantly greater in both the HM and L groups than in the H group indicating that bone development was related to both age and carcass weight. There were no significant differences between the groups in the proportions of either muscle or total fat. However, the proportion of kidney and channel fat in the H group was greater than in the HM and L groups and the proportion of subcutaneous fat was also greater in the H than in the L group. The amount of connective tissue in the three groups followed, in general, group differences in bone. Analyses of the dissected components of the separate fore- and hind-quarters showed that the difference between the H and L groups in the proportion of subcutaneous fat in the DSW was due to a relatively greater development of this fat in the fore-quarter of the H animals.No differences were found between treatments in the proportion of ‘expensive muscles’ relative to total side muscle (TSM). However, there were treatment effects on the proportions of TSM formed by certain groups of muscles; two examples are: the proportion of group 4 muscles (abdominal muscles) was higher and the proportion of group 6 muscles (distal muscles of the fore-leg) was lower in the H than in the L treatments. Bone weight distribution was similar in all treatments.There were differences between the H and HM groups in the relative growth ratios for all fat tissues (subcutaneous, intermuscular and kidney and channel fat) compared with total side fat. However, in the H and L groups, the relative growth ratios for corresponding fat categories were similar. The weight of kidney and channel fat in the left side of the carcass was significantly greater than in the right side of the carcass in all treatments.

Prediction of body weights of Nellore sheep under field condition

2015 ◽  
Author(s):  
M. Rani ◽  
B. Ekambaram ◽  
B. Punya Kumari
Keyword(s):  
Body Weight ◽  
Body Length ◽  
Age Groups ◽  
The Body ◽  
Coefficient Of Determination ◽  
Regression Equations ◽  
Body Weights ◽  
Chest Girth ◽  
Males And Females ◽  
Nellore Sheep

Data on 1350 Nellore sheep of 2, 4, 6 and 8-teeth age, reared under field conditions in 12 mandals of Chittoor district of Andhra Pradesh were utilized for development of prediction equations and study the phenotypic association among body measurements and body weights. The coefficients of correlation between body weight with the height at withers, chest girth, paunch girth, hip width and body length were positive and high in magnitude in both males and females in majority of the age groups studied. Step-down regression equations were fitted to predict the body weight based on biometrical measurements at different ages. The height at withers, chest girth, paunch girth, hip width and body length have contributed significantly to the expression of body weights at the majority of the ages studied. High coefficient of determination (R2) value was observed in males at 6 and 8-teeth age as 88 per cent, while in females 50 per cent at 2-teeth age.

scholarly journals Morphological characterization of Arab and Oromo goats in northwestern Ethiopia: implications for community-based breeding programs

2020 ◽  
Author(s):  
Oumer Sheriff ◽  
Kefyalew Alemayehu ◽  
Aynalem Haile
Keyword(s):  
Body Weight ◽  
Coat Color ◽  
Strong Association ◽  
Correlation Coefficients ◽  
Field Research ◽  
The Body ◽  
Regression Equations ◽  
Body Measurements ◽  
Breeding Programs ◽  
Chest Girth

Abstract Background: An exploratory field research was conducted in Northwestern Ethiopia, to characterize the morphological features of Arab and Oromo goat populations as a first step to design breeding programs. Ten qualitative and nine quantitative traits were considered from 747 randomly selected goats. All data collected during the study period were analyzed using R statistical software, version 3.5.2, 2018. Results: Plain white coat color was predominantly observed in Arab goats (33.72%) while plain brown (deep and light) coat color was the most frequent in Oromo goats (27.81%). The morphometric measurements indicated that Oromo goats have significantly (P < 0.001) higher body weight and linear body measurements than Arab goats. Positive, strong and highly significant (P < 0.001) correlations were obtained between body weight and most of the body measurements in both goat populations. The highest correlation coefficients of chest girth with body weight for Arab (r = 0.95) and Oromo (r = 0.92) goat populations demonstrated a strong association between these variables. Live body weight could be predicted with regression equations of y = -33.65 + 0.89x for Arab goats (R2 = 90) and y = -37.55 + 0.94x for Oromo goats (R2 = 85), where y and x are body weight and chest girth, respectively, in these goat types. Conclusions: The morphological variations obtained in this study could be complemented by performance data and molecular characterization using DNA markers to guide the overall goat conservation and formulation of appropriate breeding and selection strategies.

scholarly journals PSVII-7 Equations for estimating commercial meat cuts of water buffaloes finished in feedlot

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 297-298
Author(s):  
Vanessa R M Jacob ◽  
André M Castilhos ◽  
Caroline L Francisco ◽  
Patricia A C Luz ◽  
Daiane C Marques da Silva ◽  
...  
Keyword(s):  
Body Weight ◽  
Stepwise Regression ◽  
Carcass Weight ◽  
Good Prediction ◽  
Water Buffaloes ◽  
Independent Variables ◽  
Biometric Measurements ◽  
To Receive ◽  
Compactness Index

Abstract Equations for estimating commercial meat cuts of water buffaloes finished in feedlot (means of initial body weight and age of 314 ±117 kg and 13 ±1.2 months, respectively) using biometric measurements performed in vivo, carcass traits performed postmortem, and the set of both measurements were determined. Seventy-five non-castrated males (25 of each genetic group: Jafarabadi, Mediterranean and Murrah) were used and allocated in collective pens to receive feeding and water ad libitum for 240 days. Body weight (BW), hip height (HH), and ultrasound assessments (backfat thickness – BFT; Ribeye area – REA) were performed and tested as independent variables. After the slaughter, the non-carcass components of each animal were weighed to obtain the empty body weight (EBW). Hot carcass weight (HCW), cold carcass weight (CCW), carcass length (CL, cm), carcass depth (CD, cm), and carcass compactness index (CCI, kg/cm) were obtained and tested as independent variables. The meat cuts (Brisket, Flank plate, Rump, Rump cap, Striploin, and Tenderloin) were obtained from right half-carcass and weighed. The equations were determined using the stepwise regression method and Mallows’ Cp criterion, and processed by the REG procedure in SAS. The independent variables which were included differed among the meat cut equations which can use both independent variables obtained in vivo and postmortem, or only those obtained postmortem: Brisket, kg = 0.165-0.004×EBW+0.007×HCW+0.017×CCW (R2 =0.81, SE =0.27, Cp=1.81); Flank plate, kg = -2.643-0.013×HCW+0.028×CCI +2.681×CL-1,021×HH (R2 =0.68, SE =0.116, Cp=2.73); Rump, kg = -4.975-0.004×EBW-0.004×HCW+0.032×CCI+4.771×CL-1.662×CD-0.017×BFT (R2 =0.84, SE =0.18, Cp=6.17); Rump Cap, kg = -0.485-0.002×EBW+0.011×CCI -1.291×CL (R2 =0.78, SE =0.19, Cp=2.20); Striploin, kg = -0.088-0.004×EBW+0.020×HCW +0.019×CCI-2.949×CL (R2 =0.85, SE =0.35, Cp=3.97); Tenderloin, kg = -2.125 + 0.008×CCI +1.863×CL-1.697×CD+0.698×HH-0.014×BFT (R2 =0.84, SE =0.12, Cp=5.89). In conclusion, the equations for estimating commercial meat cuts present good prediction and can be used for different GG of water buffaloes. Supported by FAPESP (#2014/05473-7).

Growth rate and its effect on empty body weight, carcass weight and dissected carcass composition of sheep

1976 ◽  
Vol 87 (1) ◽  
pp. 171-179 ◽  
Author(s):  
D. M. Murray ◽  
Olga Slezacek
Keyword(s):  
Growth Rate ◽  
Body Weight ◽  
Feed Intake ◽  
Live Weight ◽  
The Body ◽  
Carcass Weight ◽  
Similar Proportion ◽  
Regression Equations ◽  
Intermuscular Fat ◽  
Ad Libitum

SummaryThe effect of three different growth rates from 15 to 40 kg live weight on the body composition of lambs was studied. The treatments were: High (H) ad-libitum feed intake, Low (L) restricted feed intake and High–Maintenance–High (HMH) ad-libitum feed intake from 15 to 25 kg followed by a 50-day period during which live weight was maintained constant, which in turn was followed by ad-libitum feeding. The animals were individually penned and fed a pelleted lucerne chaff-cereal grain mixture. Two animals were killed at the start of the experiment (15 kg) and the remaining 27 animals (nine in each treatment) were killed at common live weights of 25, 30, 35 and 40 kg. Analyses of covariance were used to compare linear regression equations representing results from each treatment using the logarithmic transformation of the allometric equation, y = axb.Animals in the H and L treatments had a mean growth rate from 15 kg until slaughter of 0·23 and 0·09 kg/day, respectively. From a live weight of 15 to 25 kg, the HMH group grew at a similar rate as the H group, viz. 0·22 and 0·21 kg/day, respectively. After the 50-day period of maintenance of live weight, the HMH animals killed at 30, 35 and 40 kg showed a marked compensatory growth response to ad-libitum feeding. These HMH animals had a mean growth rate of 0·37 kg/day compared with 0·26 kg/day for H animals over identical live-weight ranges.Empty body weight (EBW) formed a similar proportion of full body weight (FBW) in all three treatments. As a proportion of FBW, hot carcass weight (HCW) was similar in the H and L treatments, while at the 35 and 40 kg slaughter weights HCW was less in the HMH than in the H treatment. HCW also formed a lower proportion of EBW at the 35 and 40 kg slaughter weights in the HMH, than in both the H and L treatments. In the L treatment, HCW formed a greater proportion of EBW than in the H treatment, indicating a greater offal component of EBW in the H animals.The results of carcass dissection studies showed that, at the same dissected side weight (DSW), the amount of muscle, bone, connective tissue and total side fat (TSF) was similar in the three treatments. Although no differences were found between treatments in TSF, there were significant treatment effects on both the subcutaneous and inter-muscular fat depots. Animals in the H treatment had more and less, respectively, subcutaneous and intermuscular fat than the L animals. The amount of intermuscular fat was also greater in the HMH than in the H treatment.

scholarly journals Pre- and Post-Slaughter Methodologies to Estimate Body Fat Reserves in Lactating Saanen Goats

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1440
Author(s):  
Leonardo Sidney Knupp ◽  
Mondina Francesca Lunesu ◽  
Roberto Germano Costa ◽  
Mauro Ledda ◽  
Sheila Nogueira Ribeiro Knupp ◽  
...  
Keyword(s):  
Body Weight ◽  
Multiple Regression ◽  
Body Fat ◽  
Body Condition Score ◽  
Regression Equations ◽  
Dairy Goats ◽  
Fat Reserves ◽  
Fat Thickness ◽  
Total Fat

This work aimed to compare pre- and post-slaughter methodologies to estimate body fat reserves in dairy goats. Twenty-six lactating Saanen goats ranging from 43.6 to 69.4 kg of body weight (BW) and from 1.84 to 2.96 of body condition score (BCS; 0–5 range) were used. Fifteen pre-slaughter and four post-slaughter measurement values were used to estimate the weight of fat in the omental (OM), mesenteric (MES), perirenal (PR), organ (ORG), carcass (CARC), and non-carcass components (NC) and total (TOT, calculated as the sum of CARC and NC) depots in goats. The pre-slaughter measurements were withers height; rump height; rump length; pelvis width; chest depth; shoulder width; heart girth; body length; sternum height; BW; BCS assessed in the lumbar (BCSl) and sternal (BCSs) regions; and fat thickness measured by ultrasound in the lumbar (FTUSl), sternal (FTUSs), and perirenal (FTUSpr) regions. The post-slaughter measurements were hot carcass weight (HCW), empty body weight (EBW), and fat thickness measured by digital caliper in the lumbar (FTDCl) and sternal (FTDCs) regions. Linear and multiple regressions were fit to data collected. BW, BCS (from lumbar and sternal regions), all somatic measurements, and fat thickness measured by ultrasound in the lumbar and sternal regions were not adequate to estimate the weight of total fat in lactating Saanen goats (R2 ≤ 0.55). The best pre-slaughter and post-slaughter estimators of OM, MES, PR, ORG, NC, and TOT fat were FTUSpr and EBW, respectively. Among pre- and post-slaughter measurements, BCSl (R2 = 0.63) and HCW (R2 = 0.82) provided the most accurate predictions of CARC fat, respectively. Multiple regression using the pre-slaughter variables FTUSpr, BW, and BCSl yielded estimates of TOT fat with an R2 = 0.92 (RSD = 1.14 kg). On the other hand, TOT fat predicted using the post-slaughter variables HCW and FTDCs had an R2 = 0.83 (RSD = 1.41 kg). These results confirm that fat reserves can be predicted in lactating Saanen goats with high precision using multiple regression equations combining in vivo measurements.

scholarly journals Biometrical Relationship between Body Weight and Body Measurements of Black Bengal Goat (BBG)

2019 ◽  
pp. 1-7
Author(s):  
Md. Ahsan Habib ◽  
Ambia Akhtar ◽  
A. K. Fazlul Haque Bhuiyan ◽  
Md. Panir Choudhury ◽  
Most Farhana Afroz
Keyword(s):  
Body Weight ◽  
Correlation Coefficient ◽  
Body Length ◽  
Live Weight ◽  
Regression Equation ◽  
Baseline Survey ◽  
Regression Equations ◽  
Body Measurements ◽  
Body Weights ◽  
Chest Girth

Aims: To develop regression equations for estimation of live weight from the external morphological measurements. Study Design: CRD with non-orthogonal hierarchy. Place and Duration of Study: This study was carried out at 3 rural village communities of Bhaluka Upazila in Mymensingh district of Bangladesh from 2009 to 2013. Methodology: All animals were ear-tagged and maintained under semi-intensive management system with scheduled vaccination and de-worming. Data were collected from a baseline survey along with 3 progressive generations produced from the community foundation stocks. Body length, chest girth, wither height, hip height and body weights were measured in a same day and recorded individually from birth up to 15 month age. Body weights were measured in kilogram by a hanging spring balance and other morphological parameters were measured in centimeter by a measuring tape. The data were analyzed by "SPSS 17.0" statistical program. Results: A total of seven regression models were adopted and analysis of variance showed that all models were fitted significantly (p<0.001). The correlation coefficient was higher when multiple body measurements were included in the model. The study also revealed that when chest girth as a single body measurement was included in the model gave the highest correlation coefficient (R=0.92). For including multiple measurements, body length and chest girth are the best external body measures which exposed same correlation coefficient (R2=0.92) when included more than these two body measures in the model. The differences between actual body weight and body weight predicted from regression equation for different ages were less than 1% (p>0.05) and correlation coefficient between weights was 0.92 (p<0.01). Conclusion: There are strong correlations among morphometric body measurements. Thus, body weight can be estimated from a single or multiple body measurements by regression equation. Chest girth is the best single predictor for estimating live body weight with high accuracy.

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