scholarly journals Hubungan Ukuran Tubuh dengan Bobot Badan dan Bobot Karkas Bandikut (Echymipera rufescens) Di Kampung Manawi Distrik Angkaisera Kabupaten Kepulauan Yapen

2021 ◽  
Vol 11 (3) ◽  
pp. 195
Author(s):  
Sonei G. Bonai ◽  
Frandz Pawere ◽  
Hanike Monim
Keyword(s):  
Body Weight ◽  
Live Weight ◽  
Carcass Weight ◽  
Regression Equations ◽  
Body Measurements ◽  
Alternative Source ◽  
Average Percentage ◽  
Males And Females ◽  
The Relationship ◽  
Average Body

Abstract Bandicoot  (Echypera rufescens)  is an alternative source of animal protein and a source of germplasm for humans, especially local communities in Papua. These animals are obtained by hunting and/or setting traps in the community's closest habitat.  The aim of this research was to determine the relationship between body measurements and body weight and carcass weight by utilizing 32 bandicoots, 16 males and 16 females, with a live weight range of 400 - 2000 grams in Yapen Island Regency, Papua. The study was conducted by using an explorative study and the data were analyzed using multiple correlations and regression. The carcass was obtained by slaughtering the head, removing the blood, and then removing the hair by burning (singeing). The average body weight of male bandicoots was 1403 grams and that of females was 598.75 grams, while the average carcass weights of males and females were 1050.06 grams and 415 grams, respectively. The average heart girth of male bandicoots is 23.03 cm and that of females is 17.81 cm, while the average body length of male and female bandicoots is 25.19 cm and 18.91 cm, respectively. The average percentage of male bandicoot carcasses was 73.99 cm and that of females was 69.22 cm. The correlation coefficient between body weight and body measurements was 0.911 while the carcass weight and body measurements were 0.901. The correlation between body weight and carcass of male bandicoots were 0.911 and 0.901. The correlation between body weight and carcass of female bandicoot were 0.702 and 0.747. The regression equation for male bandicoots to estimate body weight (BB) and carcass weight (BK) were BB = (-1705, 594+84,432 X1 +46,234X2) and (BK = -432,092 +71,545 X1 +33,127X2). The female bandicoot regression equations to estimate body weight (BB) and carcass weight (BK) were: (BB = -509,134+39,437 X1 +21,443X2) and (BK= -436,703 +31,720 X1 +15,164X2). Keywords: Bandicut (Echypera rufescens); Carcass length; Carcass weight; Carcass; Heart girth; Live weight; Singeing   Abstrak Bandikut (Echypera rufescens) merupakan  salah satu sumber alternatif protein hewani dan sumber plasma nutfa bagi manusia khususnya masyarakat lokal yang berada di Papua. Hewan ini diperoleh dengan cara berburu dan/atau  pemasangan jerat di habitat terdekat masyarakat. Penelitian tentang hewan ini bertujuan untuk mengetahui hubungan antara ukuran-ukuran  tubuh dengan  bobot badan dan bobot karkas dengan memanfaatkan  32 ekor bandikut masing-masing 16 ekor jantan dan 16 ekor betina dengan kisaran berat hidup 400 -  2000 gram.  Karkas diperoleh dengan cara bagian kepala disembelih, dikeluarkan darah kemudian dilakukan penghilangan bulu dengan cara dibakar (singeing). Karkas terdiri dari daging, tulang dan lemak setelah kepala, isi rongga dada dan perut, kaki belakang bagian bawah dan kaki depan bagian bawah serta ekor dikeluarkan. Rata-rata bobot badan bandikut jantan adalah 1403 gram dan betina adalah 598,75 gram, sedangkan rata-rata bobot karkas jantan dan betina masing-masing adalah 1050,06  gram dan 415 gram. Rata-rata lingkar dada bandikut  jantan adalah 23,03 cm dan betina adalah 17,81 cm, sedangkan rata-rata panjang badan bandikut jantan dan betina berturut-turut adalah 25,19 cm dan 18,91 cm. Rata-rata persentase karkas bandikut jantan adalah 73,99 cm dan betina adalah  69,22 cm. Koefisien korelasi antara bobot badan  dengan ukuran-ukuran tubuh adalah 0,911 sedangkan antara bobot karkas dengan ukuran-ukuran tubuh adalah 0,901. Korelasi bobot badan dan karkas bandikut jantan adalah  0,911 dan  0.901. Korelasi bobot badan dan karkas bandikut betina adalah sebesar 0,702 dan 0,747. Persamaan regresi bandikut jantan untuk menduga bobot badan (BB) dan bobot karkas (BK) adalah BB = (-1705, 594+84,432 X1 +46,234X2 dan BK = -432,092 +71,545 X1 +33,127X2. Persamaan regresi bandikut betina untuk menduga bobot badan (BB) dan bobot karkas (BK) adalah BB = -509,134+39,437 X1 +21,443X2 dan BK= -436,703 +31,720 X1 +15,164X2. Kata kunci: Bandicut (Echypera rufescens); Berat karkas; Berat potong; Karkas; Lingkar dada; Panjang karkas.

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 Morphometric characterization of Brahman crossbred cattle and prediction of live weight using linear body measurements

2016 ◽  
Vol 1 (3) ◽  
pp. 569-577
Author(s):  
Md Mahbubur Rashid ◽  
Md Azharul Hoque ◽  
Khan Shahidul Huque ◽  
Md Azharul Islam Talukder ◽  
AK Fazlul Huque Bhuiyan
Keyword(s):  
Body Weight ◽  
Correlation Coefficient ◽  
Live Weight ◽  
The Body ◽  
Regression Equations ◽  
Body Measurements ◽  
Crossbred Cattle ◽  
Bone Length ◽  
Bone Width ◽  
Linear Body

The present work was conducted to evaluate the variability in linear body measurements; to investigate the relationship between body linear measurements and live weight and to predict live weight of F1 Brahman crossbred cattle using body measurements. A total of 123 male and 87 female F1 Brahman crossbred cattle of 6-36 months age and weighing from 63 to 535 kg were used for the study over a period from 2010 to 2014. The study revealed that that most of the morphological measurements were linearly increased with the advances of age. The body weight had highest correlation coefficient with the heart girth around the chest (r=0.96, p<0.001) and lowest with canon bone length (r=0.49, p<0.001) compared with other body measurements. The correlations of body weight with tail length, ear length, canon bone length and canon bone width were at medium level (r=0.51-0.79). Grouping of data according to age indicated that heart girth in >24 months group had highest correlation coefficient (r=0.96) with body weight compared to ?12 months (r=0.92) and >12-24 months (r=0.95) group. The stepwise regression models revealed that heart girth singly accounted highest variation (93%) in body weight for all animals. Thus, the general equation for prediction of live weight of Brahman crossbred cattle was Y=4.07HG–356 (±6.96) where Y=live weight (Kg), HG=heart girth around the chest (cm). The regression equations for the live weight were Y=2.71HG–191 (±13.5), Y=4.05HG–357 (±9.77) and Y=4.87HG–471 (±23.0) for ?12, >12-24 and >24 months age groups. The best model for estimating body weight was obtained using HG and body length (BL) for all animals Y=2.83HG+1.80BL–392 (±6.69). These results suggested that prediction equations based on HG or in combination of HG and BL can be used efficiently in Brahman crossbred cattle to predict live weight.Asian J. Med. Biol. Res. December 2015, 1(3): 569-577

scholarly journals In vivo prediction of live weight and carcass traits using body measurements in indigenous guinea fowl

2012 ◽  
Vol 28 (1) ◽  
pp. 137-146
Author(s):  
D.M. Ogah
Keyword(s):  
Body Weight ◽  
Carcass Traits ◽  
Live Weight ◽  
Guinea Fowl ◽  
Chest Circumference ◽  
Carcass Weight ◽  
Meat Production ◽  
Body Measurements ◽  
Weight Prediction ◽  
Breast Weight

The objectives of this study were to evaluate the relationship between live measurements and carcass traits, and develop linear regression models to predict live weight and set of carcass traits in an indigenous guinea fowl. Twenty eight adult indigenous birds of both sexes were used for the study. Live weight and body measurements were obtained before slaughter while carcass traits were taken on hot carcass. Result obtained from descriptive statistics showed that, mean performance were 1208?6.86g, 22.17?0.13 cm, 8.94?0.07cm, 2.96?0.03cm, 34.23?0.19cm, 850.15?7.18g, 267.23?1.69g, 72.39?0.64g and 70.38% for body weight, body length, thigh length, keel length, chest circumference, carcass weight, breast weight, thigh weight and dressing percentage. All the traits except for keel length were positively (P<0.001) correlated to body weight. Chest circumference had the highest predictive power in live weight estimate (R2.558), while body weight stand out as the single most important variable in carcass weight and breast weight prediction (R2.820 and .902) This suggest that carcass weight and breast weight prediction can best be obtained using body weight, providing direction in developing model for selection and improvement of guinea fowl for meat production.

scholarly journals Use of Body Linear Measurements to Estimate Live Weight in Communal Beef Cattle

2021 ◽  
Vol 2 (2) ◽  
pp. 11-20
Author(s):  
Soul Washaya ◽  
Wesley Bvirwa ◽  
Godfrey Nyamushamba
Keyword(s):  
Body Weight ◽  
Principal Component Regression ◽  
Live Weight ◽  
Principal Component ◽  
Body Measurements ◽  
Linear Regression Models ◽  
Linear Measurements ◽  
Smallholder Farms ◽  
Accuracy Of Prediction ◽  
The Relationship

Body measurements are important criteria in the selection of elite animals for breeding. The objective of this study was to determine the relationship, accuracy of prediction of body weight from body measurements, and identifying multicollinearity from three beef breeds.  Four classes of stock (bull, cows, steers, and heifers) were considered. Correlation, simple, and multiple linear regression models were fitted with body weight (BW) as the dependent variable and body length (BL), heart girth (HG), height at wither (HW), muzzle circumference (MC), and shank circumference (SC) as the independent variables. The BW of the animals ranged from 218 to 630 kg, the least being heifers and bulls were the heaviest. The pairwise phenotypic correlations showed a high and significant positive relationship between BW and body dimensions (r = 0.751- 0.96; P<0.01). However, negative correlations were observed between BW with BL and MC of r = -0.733 and -0.703 and -0.660, -0.650, for cows and heifers, respectively. Regressing BW on BL, HG, and HW measurements gave statistically significant (P<0.01) equations with R2 ranging from 0.60 to 0.79. Collinearity, as portrayed by high variance inflation factors (VIFs), tolerance values, and low eigenvalues, was evident in four of the variables. It was concluded that the regression model was useful in BW prediction for smallholder farms and the relationship between BW and other body measurements was influenced by breed and class of stock. It is recommended that ridge regression or principal component regression be used in cases where multicollinearity exisists.

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.

scholarly journals Predicting Body Weight of Ethiopian Indigenous Chicken Populations from Morphometric Measurements

2021 ◽  
Vol 9 (6) ◽  
pp. 1138-1143
Author(s):  
Fikrineh Negash
Keyword(s):  
Body Weight ◽  
Multiple Regression ◽  
Correlation Coefficients ◽  
Stepwise Multiple Regression ◽  
Regression Equations ◽  
Body Measurements ◽  
Indigenous Chicken ◽  
Morphometric Measurements ◽  
Measuring Tape ◽  
The Relationship

The purpose of this study was to estimate the relationship between body weight (BW) and morphometric measurements of Ethiopian indigenous chicken populations and to develop prediction equations used to estimate BW from body measurements. A total of 621 chickens comprising 134 males and 487 females reared under smallholder management conditions were used for the study. Body weight and morphometric measurements including body length (BL), chest circumference (CC), shank length (SL), and shank circumference (SC) were taken using a hanging scale and a textile measuring tape, respectively. The relationship between BW and morphometric measurements was determined using Pearson’s correlation coefficients (r) and stepwise multiple regression analyses. Descriptive statistics indicated that male birds were heavier than female birds. Correlation results revealed that body weight was significantly and strongly correlated with SL (r = 0.76) in both sexes, and moderately correlated with SC (r = 0.69), BL (r = 0.67), and CC (r = 0.52) in male birds, BL (r=0.68) and SC (r = 0.59) in female birds. Compared to other measurements, SL best predicted BW in both male and female birds, with coefficients of determination (R2) = 0.58. Combining SL with other body measurements (BL, CC, and SC) generally improved the predictive power of the equation. Thus, multiple regression equations that included a combination of the four linear body measurements are more suitable for predicting BW of Ethiopian indigenous chicken populations.

scholarly journals In vivo prediction of live weight and carcass traits using body measurements in indigenous guinea fowl

2011 ◽  
Vol 27 (4) ◽  
pp. 1827-1836 ◽  
Author(s):  
D.M. Ogah
Keyword(s):  
Body Weight ◽  
Carcass Traits ◽  
Live Weight ◽  
Guinea Fowl ◽  
Chest Circumference ◽  
Carcass Weight ◽  
Meat Production ◽  
Body Measurements ◽  
Weight Prediction ◽  
Breast Weight

The objectives of this study were to evaluate the relationship between live measurements and carcass traits, and develop linear regression models to predict live weight and set of carcass traits in an indigenous guinea fowl. Twenty eight adult indigenous birds of both sexes were used for the study. Live weight and body measurements were obtained before slaughter while carcass traits were taken on hot carcass. Result obtained from descriptive statistics showed that, mean performance were 1208?6.86 g, 22.17?0.13 cm, 8.94?0.07 cm, 2.96?0.03 cm, 34.23?0.19 cm, 850.15?7.18 g, 267.23?1.69 g, 72.39?0.64 g and 70.38% for body weight, body length, thigh length, keel length, chest circumference, carcass weight, breast weight, thigh weight and dressing percentage. All the traits except for keel length were positively (P<0.001) correlated to body weight. Chest circumference had the highest predictive power in live weight estimate (R2 .558), while body weight stand out as the single most important variable in carcass weight and breast weight prediction (R2 .820 and .902) This suggest that that carcass weight and breast weight prediction can best be obtained using body weight, providing direction in developing model for selection and improvement of guinea fowl for meat production.

scholarly journals Prediction of body weight of broilers at different ages from linear body measurements

2021 ◽  
Vol 17 ◽  
pp. 42-47
Author(s):  
F.O Adeniji ◽  
K. L. Ayorinde
Keyword(s):  
Body Weight ◽  
The Body ◽  
Regression Equations ◽  
Body Measurements ◽  
Linear Relationships ◽  
Live Body Weight ◽  
Body Weights ◽  
Males And Females ◽  
Prediction Efficiency ◽  
Linear Body

The prediction of live body weight from six body measurements was studied using the Cobb broiler strain. A total of two hundred and sixty four chicks comprising of one hundred and thirty four at males and females were used. Mean body weights day-old, 3, 6, 9, and 12 weeks of age were 36.7g, 276.16g, 856.72, 1,334.1g and 1,762g respectively for the sexes combined. Males were generally more uniform in body weight and the body measurements than the females as indicated by the lower coefficient of variability (2.53% vs 3.38% for body weight at 3 weeks of age). The males were slightly (P<0.05) heavier than the females at 9 and 12 weeks of age. Cumulative weight gain was more rapid between 3 and 6 weeks of age and decreased with age up to the 12th week. The correlations, linear and stepwise regression equations reveal linear relationships between body weight and all body measurements (Body length, Body girth, Keel length, Shank length, Drumstick length and Shank thickness). Live body weight of bird was best predicted singly using keel length at 3 and 9 weeks of age and body girth and the 12th week. However with a combination of two to four of the body measurements, the prediction efficiency was enhanced.

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

EEG-correlates of work efficiency level among young persons with stress-induced bruxism

2021 ◽  
pp. 25-29
Author(s):  
A. E. Barulin ◽  
S. V. Klauchek ◽  
A. E. Klauchek
Keyword(s):  
Regression Models ◽  
Alpha Rhythm ◽  
Negative Relationship ◽  
Maximum Amplitude ◽  
Dominant Frequency ◽  
Regression Equations ◽  
Microsoft Excel ◽  
The Subject ◽  
Males And Females ◽  
The Relationship

Purpose of the study. To establish the relationship between neurophysiological status and the level of efficiency in young people with bruxism.Materials and methods. Two groups of 64 and 53 subjects (males and females) aged 20–35 years old with bruxism and non-bruxers were formed according to questionnaire results and physical examination. The level of efficiency was assessed by the results of sensorimotor tracking of a moving object (the ‘Smile’ model). Spectral analysis was performed for evaluation of the baseline electroencephalograms. Microsoft Excel and Statistica 10.0 programs were used for statistical data processing.Results. The level of efficiency was statistically significantly lower in the hardest test of Smile model among the individuals with bruxism (p < 0.05). The bruxers also demonstrated a significantly lower dominant frequency and maximum amplitude of alpha-rhythm (p < 0.05), and significantly higher dominant frequency of beta2 rhythm (p < 0.05). The dominant frequency and the maximum amplitude of the alpha-rhythm are parameters corresponding to significant coefficients of the regression analysis. A negative relationship was found between the degree of error during sensorimotor tracking and the frequency and amplitude of alpha-rhythm.Conclusion. Regression models present the relationship between the level of efficiency and the alpha-rhythm severity. The regression equations make it possible to determine the functional state of the subject using an electroencephalogram.

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