The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform
Taiwo Olurode Amoo - One of the best experts on this subject based on the ideXlab platform.
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Estimation of Liveweight from Chest Girth and Wither Height Measurements in West African Dwarf Goats
Nigerian Journal of Animal Production, 2021Co-Authors: I. J. James, O. A. Osinowo, Taiwo Olurode AmooAbstract:Linear and geometric regression equations were used to estimate liveweight of two hundred and eighty six semi-intensively managed West African Dwarf (WAD) goats from Chest Girth (CG) and Wither height (WH) measurements. CG accounted for 52 and 58% variation in the liveweight of goats using linear and geometric equations respectively, thus showing a curvilinear relationship. WH accounted for 31% variation in liveweight of goats using both equations. CG measurement was found to be more reliable for estimating liveweight of WAD goats than WH measurement. Using linear regression equation, CG and WH estimated the liveweight of females better than males with average increases of 57% and 25% R' values respectively. Using geometric regression equation, CG and WH also estimated the liveweight of females better than males with average increases of 55% and 22% R' values respectively. In essence, CG and WH measurements estimated the liveweighi of does better than bucks using both regression equations. Generally, CG and WH better estimated the liveweight of goats that are greater or equal to 3 years old than goats that are greater than / year but less than 3 years old and goats that are less or equal to 1 year old using both regression equations. Even though, each of the geometric or linear regression equations may be used to estimate liveweight of WAD goats with a high degree of reliability in a specific class of animals, it would be simpler and less cumbersome to use the regression equation obtained from pooled data to estimate liveweight in all animals
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Estimation of Live weight and Age of West African Dwarf Goats From Chest Girth and Wither Height Measurements
2005Co-Authors: Taiwo Olurode AmooAbstract:liveweight and age of two hundred and eighty six West African Dwarf (WAD) goats from Chest Girth (CG) and wither Height (WH) measurements. CG accounted for 52 and 58% variation in the liveweight of goats using linears and geometric equations respectively while 57% variation in age accounted for, using both equations. WH accounted for 31% variation in liveweight of goats using both equations, but 35 and 33% variations in age of goat was accounted for by linear and quadratic equations respectively. CG measurement is more reliable for estimating liveweight and age of WAD goats than WH measurement. Both CG and WH measurements estimated the liveweight of the does than the bucks using both equations. However, only the liveweight and not the age of WAD goats was better estimated by CG and WH using both equations. Nevertheless, both equations appear to be equally reliable in predicting the liveweight and age of WAD goats.
K. Benyi - One of the best experts on this subject based on the ideXlab platform.
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Estimation of live weight from Chest Girth in pure and crossbred West African sheep 380
Tropical Agriculture, 2016Co-Authors: K. Benyi, N. KarboAbstract:Live weight and Chest Girth data on 144 Djallonke and 168 Sahel x Djallonke sheep were used to obtain linear and geometric regression equations for estimating live weight. The coefficients of determination ranged from 0.88-0.93 and 0.96-0.97 for linear and geometric equations, respectively. The geometric equations estimated live weight with a high degree of reliability regardless of Girth size, while the linear equations gave very low and frequently negative live weight estimates where Girth measurement were below 36 cm.
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Estimation of liveweight from Chest Girth in pure and crossbred West African goats
Tropical Animal Health and Production, 1997Co-Authors: K. BenyiAbstract:Linear and geometric regression equations were used to estimate liveweight from Chest Girth in 78 West African Dwarf and 73 Sahel × West African Dwarf goats. The coefficients of determination (R^2) ranged from 0·87 to 0·92 and 0·97 to 0·99 for linear and geometric equations respectively. There were no significant breed or sex differences in the R^2 values of the equations. The geometric equations estimated liveweight with a high degree of reliability regardless of Girth size whilst the linear equations yielded very low and frequently negative liveweight estimates where Girth measurements were below 30 centimetres. Se utilizaron ecuaciones de regresión linear y geométrica para estimar el peso vivo a partir del perímetro torácico en 78 cabras enanas del oeste de Africa y 73 Sahel × Cabras enanas del oeste de Africa. El coeficiente de determinación (R^2) osciló entre 0·87 y 0·92, y 0·97 y 0·99 para las ecuaciones lineales y geométricas respectivamente. No hubo diferecias significativas de raza o sexo en los valores R^2 de las ecuaciones. La ecuación geométrica estimó el peso vivo con un alto grado de fiabilidad independientemente del perímetro torácico, mientras que las ecuaciones lineares produjeron estimaciones muy bajas y frecuentemente negativas cuando el perímetro torácico era inferíor a 30 cm. Des équations de régressions géométrique ou linéaire furent utilisées pour estimer le poids d’après la circonférence du portrail chez 78 chèvres naines de l’Afrique de l’ouest et 73 chèvres croisées (Sahel × naines de l’Afrique de l’ouest). Les coefficients de détermination (R^2) fluctuèrent entre 0,87 et 0,92 ou 0,97 et 0,99 pour respectivement les équations linéaires et géométriques. Le coefficient R^2 ne fut pas différent de façon significative en fonction du sexe ou de la race de l’animal. Les équations géométriques estimèrent le poids avec une fiabilité très elévée quelle que soit la circonférence du portrail tandis que les équations linéaires produisirent des estimations plus faibles et souvent négatives pour le poids lorsque la circonfèrence fut inférieure à 30 centimètres.
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Estimation of liveweight from Chest Girth in pure and crossbred West African goats
Tropical animal health and production, 1997Co-Authors: K. BenyiAbstract:Linear and geometric regression equations were used to estimate liveweight from Chest Girth in 78 West African Dwarf and 73 Sahel × West African Dwarf goats. The coefficients of determination (R2) ranged from 0·87 to 0·92 and 0·97 to 0·99 for linear and geometric equations respectively. There were no significant breed or sex differences in the R2 values of the equations. The geometric equations estimated liveweight with a high degree of reliability regardless of Girth size whilst the linear equations yielded very low and frequently negative liveweight estimates where Girth measurements were below 30 centimetres.
Okunmoyinbo Mustopha Oluwayemisi - One of the best experts on this subject based on the ideXlab platform.
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validation of prediction equations for liveweight from Chest Girth in west african dwarf and red sokoto goats
2003Co-Authors: Okunmoyinbo Mustopha OluwayemisiAbstract:Prediction equations developed for West African DW31f and Red Sokoto goats were validated using 18 West African Dwatf and 11 Red Sokoto goats from the Goat unit of the University of Agriculture, Abeokuta. Three different technici311S took the Chest-Girth (x, em) measurement in turn, three times in one day for each animal. The predicted weights (W, Kg) from all the equations showed highly significant con-elation (P < 0.001) with the actual weights. Based on precision and accuracy the equation QI: W = 0.0000658X3 . 038 (r = 0.95) was best for Red Sokoto goats. Similarly, the equation E1: W = 0.0001242X29 (r = 0.95) was best for West Afi-ican DW31f goats. It was concluded that these two equations would be adequate for the development of weigh-band for Red Sokoto and West African DW31fgoats.
Umar Paputungan - One of the best experts on this subject based on the ideXlab platform.
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Body Dimension Factors Affecting Live Weight Estimation Accuracy of Indonesian Local-Thoroughbred Racing Horse
Research Journal of Life Science, 2019Co-Authors: Santie Turangan, Umar Paputungan, Surtijono Edmundus SiswosubrotoAbstract:Study was conducted to estimate live weight of Indonesian Local-Thoroughbred racing horse using their Chest Girth, body length and body volume represented by Chest Girth and body length dimensions. Data on animal live weight (LW), body length (BL), Chest Girth (CG) and body volume were collected from male horses (n=188) kept by the owner club members of North Sulawesi Racing Horse. Animal body volume was calculated using cylinder volume formula with CG and BL as component factors of the formula. Data were classified on animal age basis of five groups. Regression analysis was applied for LW with all linear body measurements. Age significantly influenced all body measurements. Simple regression can be recommended to predict live weight of this animal based on body volume with their average age groups as follows: Live weight ( Y in kg unit) = - 0.002+1.16 body volume (dm 3 ) with determination coefficient (R 2 ) of 0.98. The multiple regression can also be recommended to estimate accurately live weight of this animal at age average groups as follows: Live weight ( Y in kg unit) = - 0.11 - 2.74 Chest Girth ( X 1 in cm unit) + 4.92 body length ( X 2 in cm unit) with R 2 of 0.98.
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HERITABILITIES OF BODY SIZE BY GROWTH HORMONE (GH-Msp1) GENOTYPES USING PCR-RFLP IN ONGOLE GRADE CATTLE
Journal of the Indonesian Tropical Animal Agriculture, 2015Co-Authors: Umar Paputungan, Luqman Hakim, Gatot Ciptadi, H. F. N. LapianAbstract:Genotypic performance in term of heritability as the crucial factor of animal economical traits for body size inheritance had not been fully studied in Ongole-grade cattle. The objectives of this research were to define the heritability values of live weight, Chest Girth and body length in Ongole-crossbred cattle. Total of 37 blood samples were collected from parental cows and 2 blood samples from parental Ongole breed bulls. All blood samples were screened for the presence of growth hormone ( GH ) locus using PCR-RFLP method involving restricted enzyme Msp1 on agarose-gel (1.2%). Data were analyzed using statistical program in Excel XP. Results showed that the phenotypic estimation average of Ongole grade cattle population of live weight, Chest Girth and body length were 445.41 ± 45.95 kg, 175.35 ± 4.11 cm, and 139.70 ± 5.73cm, respectively. The heritability values of animal live weight, Chest Girth and body length in this study were 0.24, 0.003, and 0.41, respectively. These heritability values of animal live weight and body length would be categorized as moderate to high genotypic performance values, while the heritability of animal Chest Girth was included in low heritability standard of the animal economical trait performance.
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Application of body volume formula for predicting live weight in Ongole crossbred cows
International Journal of Livestock Production, 2015Co-Authors: Umar Paputungan, Luqman Hakim, Gatot Ciptadi, H. F. N. LapianAbstract:Study was conducted to estimate the live weight in Ongole crossbred cow using Chest Girth, body length and body volume model represented by Chest Girth and body length dimensions in North Sulawesi province. Data on animal live weight (LW), body length (BL), Chest Girth (CG) and body volume were collected from cows (n=363) kept by traditional household farmers. Animal body volume was calculated using cylinder volume formula with CG and BL as the components of model. Regression analysis was carried out for LW with all linear body measurements. Data were classified based on age of animals which resulted from five age groups (2.5-3.5, 3.6-4.5, 4.6-5.5, 5.6-6.5, 6.6-7.5, 2.5-7.5). Age significantly (P
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Live weight estimation by Chest Girth, body length and body volume formula in Minahasa local horse.
Media Peternakan, 2012Co-Authors: B. J. Takaendengan, Umar Paputungan, Ronny Rachman Noor, Sri AdianiAbstract:Study was conducted in the regency of Minahasa to estimate horse live weight using its Chest Girth, body length and body volume formula (cylinder volume formula) represented by animal Chest Girth and body length dimensions, particularly focused in Minahasa local horses. Data on animal live weight (LW), body length (BL), Chest Girth (CG) and body volume were collected from 221 stallions kept by traditional household farmers. Animal body volume was calculated using cylinder volume formula with CG and BL as the components of its formula. Regression analysis was carried out for LW with all the linear body measurements. The data were classified on the basis of age. Age significantly (P 0.05). Animal live weight was predicted by simple regression models using dependent variable (Y) of the animal live weight and independent variable (X) of the animal body measurement, either body length, Chest Girth, or body volume. The correlations between all pairs of measurements were highly significant (P < 0.01) for all age groups. Regression analysis showed that live weight could be predicted accurately from body volume (R2= 0.92) and Chest Girth (R2= 0.90). Simple regression model that can be recommended to predict horse live weight based on body volume with their age groups ranging from 3 to ≥10 years old was as follow: Live weight (kg)= 5.044 + 1.87088 body volume (liters). The analyses of data on horse Chest Girth, body length and body volume formula provided quantitative measure of body size and shape that were desirable, as they enable genetic parameters for these traits to be estimated and also included in breeding programs.
Hyunsook Han - One of the best experts on this subject based on the ideXlab platform.
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Investigation of Chest Girth and height variation affecting other body dimensions for men’s upper body clothes pattern grading
International Journal of Clothing Science and Technology, 2019Co-Authors: Hyunsook HanAbstract:The purpose of this paper is to investigate the Chest Girth and height related to men’s upper body dimensions to develop men’s grading system for semi-customized clothing.,A data set of the 3,012 men between the age group of 18 and 59 years from 6th Size Korea was used in this study. The men’s upper body dimensions were tested in terms of five horizontal lengths, seven circumferences and seven vertical lengths. Experiment and data analysis were carried out with two methods: one is multiple linear regression with Chest Girth and height as each independent variable and the other is calculating variation among Chest Girth size groups and height size groups, respectively.,Regression analysis showed that some horizontal lengths are affected not only by Chest Girth, but also by height, and some vertical lengths are affected not only by height, but also by Chest Girth. In variation analysis it was found that the variation value for each part of the body is different and it was observed that with an increase in Chest Girth vertical length also increases. In variation analysis of height, it is found that some horizontal body dimensions and hip Girth increase with an increase in height. In the comparison of upper body dimension variation among height groups with the size based on the Chest Girth, we found that a tall person who already has long vertical length is less affected by the increase in dimensions by increases in their horizontal Girth than a short person.,The findings showed detailed numerical body shape changes according to Chest Girth and height, and it may be used as the basis for determining pattern grading values by Chest Girth or height.
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investigation of Chest Girth and height variation affecting other body dimensions for men s upper body clothes pattern grading
International Journal of Clothing Science and Technology, 2019Co-Authors: Hyunsook HanAbstract:The purpose of this paper is to investigate the Chest Girth and height related to men’s upper body dimensions to develop men’s grading system for semi-customized clothing.,A data set of the 3,012 men between the age group of 18 and 59 years from 6th Size Korea was used in this study. The men’s upper body dimensions were tested in terms of five horizontal lengths, seven circumferences and seven vertical lengths. Experiment and data analysis were carried out with two methods: one is multiple linear regression with Chest Girth and height as each independent variable and the other is calculating variation among Chest Girth size groups and height size groups, respectively.,Regression analysis showed that some horizontal lengths are affected not only by Chest Girth, but also by height, and some vertical lengths are affected not only by height, but also by Chest Girth. In variation analysis it was found that the variation value for each part of the body is different and it was observed that with an increase in Chest Girth vertical length also increases. In variation analysis of height, it is found that some horizontal body dimensions and hip Girth increase with an increase in height. In the comparison of upper body dimension variation among height groups with the size based on the Chest Girth, we found that a tall person who already has long vertical length is less affected by the increase in dimensions by increases in their horizontal Girth than a short person.,The findings showed detailed numerical body shape changes according to Chest Girth and height, and it may be used as the basis for determining pattern grading values by Chest Girth or height.