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 Morphometrics and genetic diversity of Tegal, Magelang and their crossbred ducks based on Cytochrome b gene

2018 ◽  
Vol 43 (1) ◽  
pp. 9
Author(s):  
H. Henrik ◽  
D. Purwantini ◽  
I. Ismoyowati
Keyword(s):  
Genetic Diversity ◽  
Body Weight ◽  
Genetic Distance ◽  
Cytochrome B ◽  
Body Length ◽  
The Body ◽  
Chest Circumference ◽  
Neck Length ◽  
Significant Difference ◽  
Cyt B Gene

This experiment was conducted to study the morphometric and genetic diversity of Tegal, Magelang, and their crossbred ducks. Each ten female about twenty weeks old ducks from Tegal, Magelang, Gallang, and Maggal ducks, respectively, were used as the group materialss. The body weight, chest circumference, body length, shank length, neck length, and pubis width were recorded and tested by analysis of variance of one way classification as the morphometric characteristics. Polymorphism of cytochrome b (cyt b) gene on mitochondrial DNA (mtDNA) was analyzed by Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP). Genetic distance was analyzed based on value of heterozygosity, whereas the phylogeny tree was reconstructed using MEGA6 software. The results showed there were highly significant difference (P<0.01) on body weight, chest circumference, body length, and neck length between population, while shank and pubis width were not significant different. The genetic distance between Gallang and Maggal ducks (0.206) was higher than Tegal and Magelang ducks (0.169). It is concluded that the reciprocal crosses increased the morphometric and genetic diversity of Indonesian local duck population.

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.

Prediction of body dimensions of Mule and Scottish Blackface ewes from measurement of body weight

1990 ◽  
Vol 50 (3) ◽  
pp. 491-495 ◽  
Author(s):  
T. J. Sharples ◽  
J. Dumelow
Keyword(s):  
Body Weight ◽  
Head And Neck ◽  
Body Length ◽  
Live Weight ◽  
The Body ◽  
Head Length ◽  
Neck Length ◽  
Body Dimensions ◽  
Biological Basis ◽  
Weight Range

ABSTRACTThe body dimensions and live weight of 126 Mule (Bluefaced Leicester × Scottish Blackface) and Scottish Blackface ewes were measured during the 1986/87 housing season. Body dimensions included: head and neck length, body length, diagonal body length, height to withers, height to rump, girth at widest point, heart girth, width at widest point and width at shoulders. It was found that most body dimensions varied greatly with body weight. However, some body dimensions such as head length were found to be independent of weight within the weight range studied. Prediction equations are presented for each body dimensions for unshorn sheep.These predictions can be used as a basis for the design of sheep housing, for example, trough space allowances, design of feeders or as a biological basis for space allowance.

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 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 KARAKTERISTIK KUANTITATIF DAN KUALITATIF KAMBING DAN DOMBA SEBAGAI HEWAN QURBAN DI MITRA TANI FARM

2015 ◽  
Vol 39 (2) ◽  
pp. 84 ◽  
Author(s):  
Komariah (Komariah) ◽  
Dwi Joko Setyono ◽  
Aslimah (Aslimah)
Keyword(s):  
Body Weight ◽  
Body Length ◽  
The Body ◽  
Chest Circumference ◽  
Hair Color ◽  
Chi Square ◽  
Chi Square Test ◽  
Chest Girth ◽  
Average Body ◽  
Test Correlation

<p>The objective of the present study was to study the qualitative characteristics (wool color, horned) and the quantitative characteristics (body weight, chest circumference, body length, age) of sheep and goats for qurban in the Mitra Tani Farm; and the consumers preferences of choosing the sheep and goat required for ‘qurban’ event. In total eighty three Jawarandu goats; 16 Garut; 37 Thin-Tailed and 35 Fat-Tailed rams were observed to measure their body weight, chest circumference, body length, age, the present of horn and hair color. Qualitative data was obtained by interviewing the owner and consumers of MT Farm (30 trader and 30 consumers). The data was statistically analysis using, chi-square test, correlation test and T test. The results showed that the consumers from Jakarta, Depok and Tangerang significantly (P&lt;0.05) prefer goats than rams, while the consumers from Bogor, Yogyakarta and Bandung prefer rams than goats. The traders more consider the weight of the body (posture) and the price, while consumers more consider the finance budget. The average body weight of Jawarandu was 25.84±4.54 kg; Garut, Fat-Tailed and Thin-Tailed rams were 29.32±3.61, 28.45±5.54 and 28.44±4.65 kg respectively. The chest girth had higher correlation with body weight than body length. The percentage of goats and rams age were 60.56% (I0), 33.89% (I1) and 5.56% (I2). The dominant color of Jawarandu goat were brown (54.2%), black (26.51%) and white (19.28%). The color of Fat-Tailed rams wool more uniform than Thin-Tailed rams or Garut.</p><p><br />(Key words: Characteristics of Sheep and Goat, Mitra Tani Farm, Qurban)</p>

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 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 Application of path analysis methodology in assessing the relationship between body weight and biometric traits of Red Sokoto goats in northern Nigeria

2012 ◽  
Vol 28 (1) ◽  
pp. 107-117 ◽  
Author(s):  
A. Yakubu ◽  
G.L. Mohammed
Keyword(s):  
Body Weight ◽  
Path Analysis ◽  
Body Length ◽  
Neck Circumference ◽  
The Body ◽  
Coefficient Of Determination ◽  
Path Coefficient ◽  
Northern Nigeria ◽  
Linear Type ◽  
Chest Girth

Relationship between body weight (BW) and seven morphobiometrical traits [withers height (WH), body length (BL), chest girth (CG), shoulder width (SW), ear length (EL), cannon circumference (CC) and neck circumference (NC)] were studied in 142 Red Sokoto goats aged 19.3-30.6 months old using path analysis. The animals were randomly selected in certain smallholders? farms located in northern Nigeria. Pair-wise correlations among body weights and linear type traits were positive and highly significant (r = 0.74 - 0.92; P< 0.01). The path analysis revealed that body length had the highest direct effect on body weight, closely followed by chest girth and shoulder width, respectively (path coefficient = 0.354, 0.253 and 0.214 for BL, CG and SW, respectively). The optimum linear regression model with a coefficient of determination ( R2) value of 0.934 included forecast indices, such as body length, chest girth, shoulder width, cannon circumference and neck circumference. This regression equation could be used to predict the body weight of Red Sokoto goats in the field and for selection purposes.

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