scholarly journals Live Weight Estimation by Chest Girth, Body Length and Body Volume Formula in Minahasa Local Horse

2012 ◽  
Vol 35 (2) ◽  
pp. 80-84
Author(s):  
B J Takaendengan ◽  
U Paputungan ◽  
R R Noor ◽  
A Adiani
Keyword(s):  
Body Length ◽  
Live Weight ◽  
Body Volume ◽  
Weight Estimation ◽  
Volume Formula ◽  
Chest Girth

scholarly journals Application and efficiency of body volume formula for predicting live weight in two strains of broiler chickens in Zaria, Nigeria

2021 ◽  
Vol 43 (2) ◽  
pp. 13-18
Author(s):  
M. Kabir ◽  
A. Shehu-Kubra
Keyword(s):  
Body Weight ◽  
Body Length ◽  
Live Weight ◽  
The Body ◽  
Correlated Response ◽  
Body Volume ◽  
Weekly Basis ◽  
Significant Difference ◽  
Chest Girth ◽  
White Rose

Records from 120 day-old Arbor Acre (n = 60) and White Rose (n = 60) broiler strains of mixed sexes were used. The experiment was carried out at the Poultry Unit, Teaching and Research Farm of the Department of Animal Science, Faculty of Agriculture, Ahmadu Bello University Zaria, Kaduna state. Traits considered from day old to 8 weeks included body weight (BW), body length (BL) as well as chest girt (CG). The chickens were assigned to two treatments with three replications each having twenty chickens per replicate and were fed the same type of feed. The weights were taken on weekly basis. The feed consumed was also measured on daily basis. The body parameter such as body length and chest girth was also taken on weekly basis. The chick's body volume (BV) was estimated by cylinder volume using a formula derived from the work of Paputungan. Results obtained showed that age significantly (P<0.05) affected BW at all ages where the White Rose strain consistently weigh heavier than Arbor Acre. Similarly the BV of Arbor Acre is less than that of White Rose strain only at week 2. No significant difference (P>0.05) was obtained for the other parameters investigated across age. Coefficient of correlation among parameters obtained in this study were low and insignificant (P>0.05). However, all the values recorded were positive indicating that selection for any trait will lead to correlated response in the others. The multiple regression models for predicting live weight from chest girth, body length and body volume in the two strains revealed that coefficient of determination (R2 ) for BV was higher (0.96 to 0.98) compared with those of chest girth (0.56 to 0.73) and body length (0.81 to 0.88). It was concluded therefore that body volume was more efficient and better predictor of live body weight than BL and/or CG.

scholarly journals Application and efficiency of body volume formula for predicting live weight in two strains of broiler chickens in Zaria, Nigeria

2021 ◽  
Vol 43 (1) ◽  
pp. 13-18
Author(s):  
M. Kabir ◽  
A. Shehu-Kubra
Keyword(s):  
Body Weight ◽  
Body Length ◽  
Live Weight ◽  
The Body ◽  
Correlated Response ◽  
Body Volume ◽  
Weekly Basis ◽  
Significant Difference ◽  
Chest Girth ◽  
White Rose

Records from 120 day-old Arbor Acre (n = 60) and White Rose (11 = 60) broiler strains of mixed sexes were used. The experiment was carried out at the Poultry Unit, Teaching and Research Farm of the Department of Animal Science, Faculty of Agriculture, Ahmadu Bello University Zaria, Kaduna state. Traits considered from day old to 8 weeks included body weight (BW), body length (BL) as well as chest girt (CG). The chickens were assigned to two treatments with three replications each having twenty chickens per replicate and were fed the same type of feed. The weights were taken on weekly basis. The seed consumed was also measured on daily basis. The body parameter such as body length and chest girth was also taken on weekly basis. The chick's body volume (BV) was estimated by cylinder volume using a formula derived from the work of Paputugan. Results obtained showed that age significantly (P<0.05) affected BW at all ages where the White Rose strain consistently weigh heavier than Arbor Acre. Similarly the BV of Arbor Acre is less than that of White Rose strain only at week 2. No significant difference (P>0.05) was obtained for the other parameters investigated across age. Coefficient of correlation among parameters obtained in this study were low and insignificant (P>0.05). However, all the values recorded were positive indicating that selection for any trait will lead to correlated response in the others. The multiple regression models for predicting live weight from chest girth, body length and body volume in the two strains revealed that coefficient of determination (R2) for BV was higher (0.96 to 0.98) compared with those of chest girth (0.56 to 0.73) and body length (0.87 to 0.88). It was concluded therefore that body volume was more efficient and better predictor of live body weight than BL and/or CG.

scholarly journals Application of body volume formula for predicting live weight in Ongole crossbred cows

2015 ◽  
Vol 6 (3) ◽  
pp. 35-40 ◽  
Author(s):  
Paputungan U ◽  
Hakim L ◽  
Ciptadi G ◽  
F N Lapian H
Keyword(s):  
Live Weight ◽  
Body Volume ◽  
Crossbred Cows ◽  
Volume Formula

662. The comparative efficiency of some methods of estimating the live weight of dairy cows

1957 ◽  
Vol 24 (2) ◽  
pp. 144-151 ◽  
Author(s):  
A. W. A. Burt
Keyword(s):  
Live Weight ◽  
Practical Method ◽  
Body Volume ◽  
Regression Equations ◽  
Body Measurements ◽  
Body Measurement ◽  
Comparative Efficiency ◽  
Single Body ◽  
Chest Girth ◽  
Three Body

1. Data from 133 Dairy Shorthorn cows in three herds have been used in a study of various methods of estimating live weight from body measurements based on logarithmic relationships and indices of body volume.2. Regression equations are presented relating live weight to several combinations of chest girth, paunch girth, length of body and age.3. The most satisfactory estimate of weight from a single body measurement was given by the regression of log live weight upon log chest girth.4. Appreciable increases in the efficiency of estimation were obtained by including log paunch girth or log length of body as second variates in the regression, and a further increase by including them together.5. Indices of body volume using chest girth and length of body, or chest girth, paunch girth and length of body gave good estimates of live weight, and there was very little difference in efficiency of estimation from that when the three measurements were used in a logarithmic regression.6. The effects of the addition of age to regressions involving chest girth, paunch girth and length of body were slight but statistically significant.7. The most satisfactory practical method of estimation using the three body measurements is given by the equationLive weight (lb.)=0·000935 LB(CG2+PG2+ PG.CG)+57 (all measurements in inches).8. Comparison of fiducial limits showed that these covered a range 4–5 times as great for live weights estimated from chest girth than for live weights determined directly, and that the inclusion of length of body and paunch girth reduced this range by 25–30%.

scholarly journals Bafra Koyun ve Kuzularının Biyometrik Özelliklerinin İncelenmesi

2019 ◽  
Vol 7 (10) ◽  
pp. 1710
Author(s):  
Sezen Ocak Yetişgin
Keyword(s):  
Body Weight ◽  
Path Analysis ◽  
Correlation Coefficient ◽  
Body Length ◽  
Pearson Correlation ◽  
Live Weight ◽  
Chest Circumference ◽  
Pearson Correlation Coefficient ◽  
Weight Estimation

The aim of this study was to compare the effects of biometric properties of Bafra sheep and lambs such as chest depth, chest width, chest circumference, rump height, height at withers, body length and body weight. Relationships were determined by Pearson correlation coefficient and Path analysis. As a result, it has been shown that biometric properties of Bafra sheep and lambs provide different results on live weight estimation. In addition, the relationships between biometric properties were not similar (r = -0.16).

scholarly journals Correlations between body measures with live weight in young male goats

2021 ◽  
Vol 43 ◽  
pp. e52881
Author(s):  
Júlia dos Santos Fonseca ◽  
José Luiz Leonardo de Araujo Pimenta ◽  
Larissa Sardinha de Moura ◽  
Ludmila Cavati de Souza ◽  
Tatiana Labre da Silva ◽  
...  
Keyword(s):  
Body Weight ◽  
Data Analysis ◽  
Body Length ◽  
Young Male ◽  
Live Weight ◽  
Body Volume ◽  
Animal Development ◽  
Scrotal Circumference ◽  
Length Measurements ◽  
Biometric Measurements

Data analysis in goat production, such as those related to body and scrotal measurements, indicate the productive and reproductive animal development. The current study aimed to evaluate the correlations between thoracic perimeter (TP), body length (BL), body compacity (BC), body volume (BV), and scrotal circumference (SC) with body weight (BW) in young male goats of Saanen and Boer breeds. It was used 38 Saanen and 24 Boer male goats, with age average of 7.2 ± 2.0 months. Thoracic perimeter and body length measurements were obtained using a tape measure (cm) and the live weight (kg) a mechanic scale. The variables body compacity (BC) and body volume (BV) were calculated using the equations:  and . Boer breed showed live weight and body compacity higher than Saanen breed (p < 0.05). Regarding correlations between biometric measurements and body weight, we did not find any statistical differences between the breeds (p > 0.05). The scrotal circumference presented the lowest association with body weight (p < 0.05). However, all biometric measurements showed highly significant correlations with live body (p < 0.01). In conclusion, thoracic perimeter was the main measure of body weight predictor, considering efficiency and practical aspects.

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.

Live weight estimation of male donkeys from measurements of heart girth, umbilical girth and body length in northwest Nigeria

2015 ◽  
Vol 11 (2) ◽  
pp. 187-194
Author(s):  
MR Hassan ◽  
SB Abdu ◽  
JT Amodu ◽  
AA Muniratu ◽  
HY Adamu ◽  
...  
Keyword(s):  
Body Length ◽  
Live Weight ◽  
Descriptive Statistics ◽  
Sexually Dimorphic ◽  
Morphological Parameters ◽  
Weight Estimation ◽  
Allometric Model ◽  
Degree Of Certainty ◽  
Measuring Tape ◽  
High Degree

This study examines the use of morphological parameters to predict live weight of male working donkeys in three locations of northwest Nigeria. The study employed the use of measuring tape to measure some morphological parameters from 127 male working donkeys selected at random from three locations namely: Giwa (Kaduna state), Kofar Dan ‘agundi (Kano state) and Zandam (Jigawa state). Data obtained was analyzed using descriptive statistics, analysis of variance and regression analysis. Results indicated that length of neck of donkeys was 40% higher (P<0.05) in Giwa than Kofar Dan’agundi. However, donkeys in Zandam had 5% and 6% higher (P<0.05) length of ear and body length, respectively compared to those in Giwa. Predicted live weight of donkeys was 34% higher (P<0.05) using allometric model II (144 kg) than model I (95 kg), regardless of the location. Heart girth and body length of donkeys were the best predictors of live weight (P<0.001; R2 = 0.99, se = 0.01 and R2 = 0.72, se = 0.10), respectively. Predicted live weight relates positively with body length of donkeys in the study areas (R2 = 0.73). It was therefore concluded that equations developed to estimate live weight of donkeys using morphological parameters could be used in Nigeria with high degree of certainty. Considering the fact that weight is sexually dimorphic, similar research should be conducted on female donkeys to have a wider understanding of Nigerian donkeys for sustainable development.Key words: Donkey, heart girth, live weight, morphology, Nigerian

scholarly journals Estimation of genealogical lines of cattle of the Kazakh white-headed breed

2021 ◽  
Vol 51 (1) ◽  
pp. 82-89
Author(s):  
V. A. Soloshenko ◽  
V. A. Pleshakov ◽  
B. O. Inerbaev ◽  
A. S. Durov ◽  
I. A. Khramtsova
Keyword(s):  
Genetic Variability ◽  
Milk Production ◽  
Body Length ◽  
Milk Yield ◽  
Live Weight ◽  
Low Level ◽  
Chest Girth ◽  
Degree Of Consolidation ◽  
Selection Parameters ◽  
High Degree

An assessment of economically useful traits and external conformation of the Kazakh whiteheaded cows of the main genealogical lines, bred in the farms of the Altai Territory, was carried out. For the analysis, indicators of economically useful traits and conformation of first-calf heifers and full-aged cows of the Kazakh white-headed breed were used: live weight, measurements, total score for conformation, milk production. It was established that first-calf heifers of Zamok 3035 line surpass their herdmates in chest girth, and heifers of Zadorny 1325 and Korol 13682 lines are superior in oblique body length. Cows of Peon 29 line are inferior to their peers in live weight. The best indicators in live weight were noted in full-aged cows of Zadorny 1325 line, in milk yield – in Korol 13682 line. In general, there were no significant differences in most animal traits between the lines assessed. Analysis of full-aged cows belonging to the lines of Zamok 3035, Korol 13682, Zadorny 1325 showed that they surpass their herdmates in live weight, the lines of Korol 13682 – in milk yield. The study of the coefficients of heritability showed a low level of influence of the genotype on the variability of the main traits. This fact may indicate a high degree of consolidation of the Kazakh white-headed breed. In the breeding work with this breed, it is necessary to make wider use of sires belonging to the lines of Zadorny 1325, Zamok 3035. Particular attention should be paid to the rotation of genealogical groups. It is recommended to use new unrelated animals from other regions to increase the genetic variability of traits in herds. In order to do this, selection should be carried out in accordance with the grading requirements and selection parameters calculated for a particular farm.

scholarly journals Growth and relationship of live weight to body measurements in semi-domesticated reindeer (Rangifer tarandus tarandus L.)

Rangifer ◽  
1990 ◽  
Vol 10 (3) ◽  
pp. 353 ◽  
Author(s):  
Mauri Nieminen ◽  
Carl Johan Petersson
Keyword(s):  
Body Weight ◽  
Rangifer Tarandus ◽  
Spinous Process ◽  
Age Groups ◽  
Live Weight ◽  
Body Volume ◽  
Rangifer Tarandus Tarandus ◽  
Different Seasons ◽  
Chest Girth ◽  
Mathematical Analyses

Estimation of live weight from measurements of body dimensions is useful in many management activities with domestic animals. In present study live weight was measured from 2932 female and 1037 male semi-domesticated reindeer (Rangifer tarandus tarandus L.) during different seasons in 1969-85. The age of reindeer varied between 1 day and 14 yrs. Back length (along back from second spinous process to base of tail) and chest girth (just behind front legs) were taken also from 1490 female and 510 male reindeer. The growth of reindeer from birth to adulthood was cumulative consisting of a rapid weight accretion during summers followed by a weight loss or stasis during winters. The mathematical analyses of the growth based on exponential solutions gave average values for growth of female and male reindeer. Body weight of females increased until the age of 4.5 yrs and that of males until the age of 5.5 yrs. During winter and spring body weight of hinds decreased 10 to 15 kg and that of stags 30 to 50 kg in different age groups. Significant linear regressions were found between live weight and back length (r = 0.809 and 0.892), live weight and chest girth (r = 0.860 and 0.872) and live weight and combined body measure (back length + chest girth) (r = 0.877 and 0.941) and live weight and body volume (r = 0.905 and 0.954, respectively) in female and male reindeer. Exponential regressions gave, however, the best estimations of live weight with combined body measure.

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