scholarly journals Body Weight Prediction in Nigeria Goats using Body Measurements of Different Age, Sex and Breeds

2017 ◽  
pp. 01-05
Author(s):  
A.J. Shoyombo ◽  
A. A. Musa ◽  
M. Wheto
Keyword(s):  
Body Weight ◽  
Predictive Power ◽  
Regression Coefficient ◽  
Live Weight ◽  
Tail Length ◽  
Body Measurements ◽  
Stepwise Multiple Linear Regression ◽  
Weight Changes ◽  
Scrotal Circumference ◽  
Weight Prediction

Data collected from 900 goats sampled from Borno, Sokoto and Ogun States from three different breeds on the following metric characters: Body Weight (BW), Age, Horn Length (HL), Ear length (EL), Shoulder width (SW), Neck circumference (NC), body length (BL), Withers Height (WH), Heart Girth (HG), Pouch Girth (PG), Tail Length (TL) and Scrotal circumference (SC) were subjected to stepwise multiple linear regression. Results obtained showed Live weight changes with body measurements were poorly to highly predictable with R2 values ranging between 0.000 - 0.031 in animals < 1 year old, 0.000-0.241in animals 1-2 years and 0.000-0.658 in animals 2 years and above. It was thus concluded that the low, moderate and high predictive power obtained from this study might be due to instability of regression coefficient at different ages and points also to decreasing environmental impact on growth with increase in age.

Prediction of body weight from linear body measurements in sheep

2017 ◽  
Author(s):  
Sandeep Kumar ◽  
S. P. Dahiya ◽  
Z. S. Dahiya ◽  
C. S. Patil
Keyword(s):  
Body Weight ◽  
Genetic Correlations ◽  
Body Height ◽  
Selection Criterion ◽  
Live Weight ◽  
Tail Length ◽  
Coefficient Of Determination ◽  
Body Measurements ◽  
Linear Type ◽  
Linear Body

Measurements of body conformation in sheep are of value in judging the quantitative characteristics of meat and also helpful in developing suitable selection criterion. Data on 349 Harnali sheep for body length (BL), body height (BH), heart girth (HG), paunch girth (PG), tail length (TL), head circumference (HC), ear length (EL), ear width (EW), face length (FL) and adult body weight (ABW) were analysed to study the relationship between linear body measurements and body weight. The mixed linear model with dam’s weight at lambing as covariate was used to study the effect of non-genetic factors on body measurements and body weight. High estimates of heritability were obtained for BL, BH, HG, TL, HC, EL, EW, FL and ABW while moderate estimate was obtained for PG. The phenotypic correlations of BL, BH, HG, PG, HC and FL with ABW were positive and significant (0.32±0.04 to 0.59±0.08). The genetic correlations of HG, PG, HC and FL with ABW were 0.51±0.13, 0.42±0.19, 0.44±0.13 and 0.43±0.15, respectively. Various combinations of linear type traits to predict ABW were found to have coefficient of determination as high as 0.92. It is concluded that heart girth is the most important trait for estimation of live weight in sheep and the prediction equation is Body weight = -63.72 + 1.23 HG with R2 = 0.87.

scholarly journals Evaluación del desarrollo testicular y medidas morfométricas en ovinos de pelo colombiano

2018 ◽  
Vol 29 (1) ◽  
pp. 165
Author(s):  
Amado Espitia-Pacheco ◽  
Donicer Eduardo Montes Vergara ◽  
Diego Lara-Fuenmayor
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Significant Influence ◽  
Regression Coefficient ◽  
Pearson Correlation ◽  
Morphometric Parameters ◽  
Testicular Development ◽  
Body Measurements ◽  
Scrotal Circumference ◽  
And Function

The sheep body measurements are useful indicators of type and function that allow improving the selection. Biometric studies have shown in sheep a relationship between these measures with some productive variables. The main purpose of this study was to evaluate the testicular development and their relationship with morphometric parameters on Colombian hairy sheep of Sampués, Sucre, Colombia. Weaned males (n=12) born between February and April of 2014 were used, and the following measures were taken every twenty-eight days: scrotal circumference (CS), body weight (PC), rump height (AG), withers height (AC), and right and left testicular length (LTD and LTL).The sheep were between three to twelve months old. A multiple regression analysis (RA) was done from PC; AG; AC; TL. To describe the variation of LT, the model included only the variables PC; AG; AC. The grade of association between the studied variables was performed by a Pearson correlation. Scrotal circumference showed a high correlation with the evaluated morphometric parameters. In the RA analysis, the PC influenced the variable CE (p<0.05), while other variables did not have a significant influence. According to the regression coefficient associated to the measurement, per each kg of PC that an animal gained in weight, there was a corresponding increase of 0,09 cm in the CS.

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 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 Correlation of milk intake and body weight with linear body measurements of white Fulani calves in semi-intensive system of management

2020 ◽  
Vol 47 (3) ◽  
pp. 16-21
Author(s):  
B. I. Umoh ◽  
U. M. Okon ◽  
J. S. Ekpo
Keyword(s):  
Body Weight ◽  
Body Length ◽  
Tail Length ◽  
Neck Circumference ◽  
The Body ◽  
Milk Intake ◽  
Body Measurements ◽  
White Fulani ◽  
Linear Body ◽  
Intensive System

Body weight of animals in the rural areas has not been accurately ascertained due to lack of accurate measurement scales, hence this experiment. The study was conducted to determine the correlation between milk intake and body weight with linear body measurements in white Fulani calves raised in semi-intensive system of management. A total of seven (7) white Fulani calves managed semi-intensively was used for the study. The experiment lasted 12 weeks. The overall mean±SEM value for milk intake, body weight, neck circumference, neck length, body length, body circumference, girth circumference, height at wither and tail length were 1.20±0.40g, 5.18±1.02kg, 21.54±0.66cm, 13.23±0.21cm, 28.36±0.31cm, 36.41±0.43cm, 35.84±0.37cm, 35.87±0.43cm and 23.43±0.39cm respectively. There was significant (P<0.05) effect of lactation stage on all body measurements taken except for neck circumference and tail length. Correlation between all body pairs of measurements were high, positive and highly significant (P<0.05). The highest correlation was recorded for body length, body circumference, girth circumference and height at wither. Linear function provided the best fit for milk intake weight and linear body measurements indicating that body measurements can be used for selection and the estimation of body weight in the fields where accurate scales are not usually available. It is recommended that any of the body measurement parameters could be used in the estimation of the body weight. Also, an improvement of non-genetic factor such as nutrition and general husbandry of the animal as much as possible will bring about improvement in the body parameters as well as maintaining the animal's physiological balance.

An empirical model for estimating feed allowances for breeding sows

1989 ◽  
Vol 1989 ◽  
pp. 33-33
Author(s):  
C T Whittemore
Keyword(s):  
Body Weight ◽  
Empirical Model ◽  
Feed Intake ◽  
Live Weight ◽  
Weight Changes ◽  
Maternal Weight ◽  
Maternal Body ◽  
Large White ◽  
Model Components

Provision of nutrient allowances for sows necessitates a view of requirements for growth and reproductive efficacy, and a method to predict response to the nutrients provided. An experiment involving 102 Large White x Landrace sows given a diet of 13.2MJ DE and 162g CP per kg over 4 parities has been used to derive some of the necessary model components. If live weight and fatness at first conception are 125kg and 14mm P2 respectively, and maternal body weight at term parity 4 is 250kg, and when weaning to oestrus interval (days) = 27(±5) - 1.3(±0.4)P2(mm) at weaning: then the equations, change in P2(mm) in 28-day lactation = -0.28(±0.82) - 0.27(±0.03)P2 at parturition +0.037(±0.003) lactation feed intake - 0.50(±0.06) number of piglets at weaning, and change in maternal live weight (kg) in 28-day lactation = -3.8(±4.6) - 0.15(±0.02) maternal weight at parturition + 0.36 (±0.02) lactation feed intake - 3.3(±0.3) number of piglets at weaning, can be used to predict fat and live weight changes in lactation.

PSIII-5 Predicting live weight using linear body measurements in growing beef calves

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 285-285
Author(s):  
Vanessa Rotondo ◽  
Dan Tulpan ◽  
Katharine M Wood ◽  
Marlene Paibomesai ◽  
Vern R Osborne
Keyword(s):  
Machine Learning ◽  
Body Weight ◽  
Linear Models ◽  
Live Weight ◽  
Body Measurements ◽  
Learning Models ◽  
Linear Measurements ◽  
Beef Calves ◽  
Machine Learning Models ◽  
Linear Body

Abstract The objective of this study is to investigate how linear body measurements relate to and can be used to predict calf body weight using linear and machine learning models. To meet these objectives, a total of 103 Angus cross calves were enrolled in the study from wk 2 - 8. Calves were weighed and linear measurements were collected weekly, such as: poll to nose, width across the eyes (WE), width across the right ear, neck length, wither height, heart girth (HG), midpiece height (MH), midpiece circumference, midpiece width (MW), midpiece depth (MD), hook height, hook width, pin height, top of pin bones width (PW), width across the ends of pin bones, nose to tail body length, the length between the withers and pins, forearm to hoof, cannon bone to hoof. These measurements were taken using a commercial soft tape measure and calipers. To assess relationships between traits and to fit a model to predict BW, data were analyzed using the Weka (The University of Waikato, New Zealand) software using both linear regression (LR) and random forest (RF) machine learning models. The models were trained using a 10-fold cross-validation approach. The automatically derived LR model used 11 traits to fit the data to weekly BW (r2 = 0.97), where the traits with the highest coefficients were HG, PW and WE. The RF model improved further the BW predictions (r2= 0.98). Additionally, sex differences were examined. Although the BW model continued to fit well (r2 0.97), some of the top linear traits differed. The results of this study suggest that linear models built on linear measurements can accurately estimate body weight in beef calves, and that machine learning can further improve the model fit.

Effects of indoor or outdoor rearing on the chemical composition of lambs

1992 ◽  
Vol 54 (3) ◽  
pp. 389-393 ◽  
Author(s):  
M. Theriez ◽  
B. Touraine ◽  
P. Vigneron ◽  
M. Prud'hon
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Chemical Composition ◽  
Alimentary Tract ◽  
Live Weight ◽  
Fat Content ◽  
Weight Changes ◽  
Body Weight Changes ◽  
Slaughter Weight ◽  
Rearing Method

AbstractPure Merinos d'Aries male lambs were reared indoors (IN), with hay and concentrates, or outdoor (OUT) on improved Mediterranean range (Garrigues) and slaughtered when they reached 25 (light) or 32 (heavy) kg live weight. The alimentary tract weight was significantly affected by slaughter weight and by rearing method, which also significantly modified rumen contents. IN lamb body composition was higher in fat and energy and lower in water and protein than OUT lambs but differences induced by the rearing method were reduced when slaughter weight was increased. Allometric equations established for each environment were used to determine body composition and body gain composition at 20 and 25 kg empty body weight. Changes were very limited for IN lambs but protein and fat content of OUT lambs changed greatly as a result of the tremendous increase of grass availability towards the end of the fattening period.

An evaluation of body size as related to weight of three West African breeds of cattle in Nigeria

1980 ◽  
Vol 95 (1) ◽  
pp. 219-224 ◽  
Author(s):  
V. Buvanendran ◽  
J. E. Umoh ◽  
B. Y. Abubakar
Keyword(s):  
Body Weight ◽  
Body Size ◽  
Regression Coefficient ◽  
West African ◽  
The Other ◽  
Regression Coefficients ◽  
Body Measurements ◽  
Linear Regression Coefficient ◽  
Chest Girth ◽  
Body Condition Scores

SummaryBody measurements and weights of animals of varying ages were recorded in White Fulani (Bunaji), Sokoto Gudali and N'dama breeds of cattle. Chest girth accounted for 86–96% of the variation in body weight in the three breeds. The linear regression coefficient of weight on chest girth in the N'dama differed significantly from the other two breeds. Within each breed, the regression coefficient of young animals was lower than those of older groups. The variables that contributed most to improving the prediction of weights when added to chest girth were rump length and body length. Animals with low body condition scores had lower regression coefficients of weight on chest girth than those with high scores.

Sign in / Sign up

Export Citation Format

Share Document