scholarly journals A Study of Body Weight and Its Relation with Linear Body Measurements in Piglets Fed Different Feed Formulation

2019 ◽  
Author(s):  
Monica Tissopi ◽  
JP Bordoloi ◽  
J Saharia ◽  
Rajib Kro
Keyword(s):  
Body Weight ◽  
Milk Powder ◽  
The Body ◽  
Body Measurements ◽  
Weaned Piglets ◽  
Feed Formulation ◽  
Creep Feed ◽  
Body Weights ◽  
Positive Effect ◽  
Linear Body

The present experiment was carried out to study the body weight and its relation with the linear body measurements of pre-weaned piglets fed with different feed formulation viz., T0 (fed conventional creep feed), T1 (fed 5% milk powder supplemented creep feed), T2 (fed probiotics supplemented creep feed ) and T3 (fed creep feed supplemented with 5% milk powder and probiotics). The final body weights at 8th weeks of age were highest in T3 (12.395 ± 0.051 kg) followed by T2 (11.230 ± 0.094), T1 (9.940 ± 0.103) and T0 (8.781 ± 0.073). These findings indicated a positive effect of added supplement in the body weight of pre-weaned piglets. The results showed that the linear body measurements of the piglets maintained a positive correlation with body weight and increased steadily with a significant effect (p 0.001) of treatment on all three traits. piglets, probiotics.

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.

scholarly journals Phenotypic Characterization for Identification, Conservation and Sustainable Utilization of Boset and Minjar Shenkora Goats of Ethiopia

2021 ◽  
Vol 9 (10) ◽  
pp. 1876-1882
Author(s):  
Tesfalem Aseged Ayele ◽  
Abraham Assefa ◽  
Abebe Hailu ◽  
Tesfaye Getachew ◽  
Manaye Misganaw ◽  
...  
Keyword(s):  
Body Weight ◽  
Coat Color ◽  
Phenotypic Characterization ◽  
Head Width ◽  
Body Measurements ◽  
Food And Agriculture ◽  
Food And Agriculture Organization ◽  
Central Highland ◽  
Body Weights ◽  
Linear Body

This study was conducted on a total of 776 goats (part of Central highland goat breeds of Ethiopia), 306 from Boset district of Oromia region and 470 were from Minjar Shenkora district of Amhara region. A format developed by using food and agriculture organization discerption list was used for recording of morphological traits, bodyweight and linear body measurements. Both qualitative and quantitative traits were recorded from randomly sampled mature goats and the data were analyzed using SAS software. The goat type in the study area was characterized by a higher proportion of plain coat color patterns (62.5). Ingeneral, the majority (98.4%) of the studied goats were horned and characterized by backward orientation (67%) with a straight shape (49.3%). They presented a concave facial profile (73.8%), slop up toward the rump back profile (66.2%), no wattle (99.6%), no toggle (90.7%), no ruff (85.9%) and no beard (57.3%). The location had a significant effect on body weight and some other linear body measurements. Traits like body length, rump length, horn length, head length, head width and shin circumference were significantly higher in Boset district. In contrast, rump width and cannon bone length were significantly lower. The mean body weight of male goats in Boset and Minjar Shenkora district were 30.5±1.05 kg with a range of 16 to 47 and 27.5±0.56 with a range of 13 to 57, respectively. While for female counterpart mean body weights (kg) were 28.4±0.35 with a range of 17 to 45 for Boset and 27.5±0.33 with a range 15 to 57 for Minjar Shenkora district. Heart girth had the highest correlation with body weight in both sexes and shoulder width in Boset male goats. The wider variation in most quantitative measurement traits would open an opportunity for further improvement, conservation and utilization work.

scholarly journals Evaluation of early growth performance of backcross progenies from crossbred gilts mated with their native parents

2021 ◽  
Vol 33 (2) ◽  
pp. 170-177
Author(s):  
P. E. Nwaku ◽  
M. O. Otuma
Keyword(s):  
Body Weight ◽  
Growth Performance ◽  
Body Length ◽  
Feed Efficiency ◽  
The Body ◽  
Body Measurements ◽  
State University ◽  
Weaning Age ◽  
The Mean ◽  
Linear Body

The pre weaning growth performance of piglets from four different cross bred dams mated back to their native parents was studied in the Breeding and Research Farm of Ebonyi State University, Abakaliki. Parameters like body weight, weight gain, feed intake and feed efficiency as well as linear body measurements of body length, heart girth and height  at withers were taken and observed for growth between birth and weaning age of eight weeks. Results Results indicated significant differences (P<0.05) between the main backcross N x (N x LR) and the three other genotypes of N x (N x LW), N x (LR x N) and N x (LW x N) in all parameters. The mean birth weight of the progenies ranged from 1.00±0.60 to 1.60±5kg while the weaning weights were 10.5±0.4 to 16.0±1.0kg respectively. Results further revealed that body weight at weaning correlated responsively with all parameters and these include body length (r=0.858), heart girth (r= 0.446) and height at the withers (r= 0.946). Similarly, body length has a positive correlation with heart girth (r= 0.477) and height at the withers (r= 0.827) whereas hear girth correlated positively with the height at the withers (r= 0.494). Similar trend were obtained in the regression of each of the body measurements on the other in which bodyweight changes depended more on that of body length (0.86) than on heart girth (0.45). Judging from the observed variations existing among the piglets resulting from differnt crossbreed dams in their pre-weaning growth performance, maternal rather than paternal influences appeared to be more important in the traits studied.   

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.

Diversity of biometric and morphological traits among sheep breeds in Nigeria

2020 ◽  
Vol 47 (2) ◽  
pp. 13-25
Author(s):  
R. O Okeke ◽  
B. I Nwagu ◽  
A. O Iyiola-Tunji ◽  
P. A. John
Keyword(s):  
Body Weight ◽  
Discriminant Analysis ◽  
Genetic Distance ◽  
Morphological Traits ◽  
Principal Component ◽  
The Body ◽  
Morphological Data ◽  
Stepwise Multiple Regression ◽  
Body Measurements ◽  
Linear Body

Towards assessment of variations within and between sheep; biometric and morphological data of the four breeds of sheep found in Nigeria were collected using multi-stage samplin method. A total of 46 Balami, 30 Uda, 36 Yankasa and 37 WAD were sampled. Stepwise multiple regression procedure was used to find the best linear combination of metric variables that best predict the body weight. Principal component analysis of biometric and morphological traits was carried out. Simple discriminant analysis procedure was used to classify the breeds. Cluster analysis was done using the model building specificationinterface. Head length (HL), chest girth (CG), leg length (LL), and tail length were the only linear body measurements that were significant (P<0.01) in predicting body weight of sheep in the overall prediction equation. Body weight and all the linear body measurements had their highest loadings on principal component 1 (PC1). Tassel was the only variable that had its highest loading on PC2. Tail type and state (location) were the variables that bestdescribes the third component (PC3). Sex and hair type were variables that best described the forth component (PC4). Discriminant analysis showed that 70.59% of sheep sampled as Balami were classified as pure breed. Sheep sampled as WAD and Yankasa had 100% conformation while Balami and Uda had 70.59% and 60%, respectively in conformation to the classifying features of their breed based on discriminant analysis. The farthest genetic distance (5.48) was observed between Balami and WAD while the shortest genetic distance (1.26) was observed between Balami and Uda. Improvement of growth traits of sheep breedsin Nigeria is recommended through the use of either Balami or Uda as sire and either WAD or Yankasa as dam.

Phenotypic characterization of three strains of indigenous goats in Tanzania

2000 ◽  
Vol 28 ◽  
pp. 43-51 ◽  
Author(s):  
M.A. Madubi ◽  
G.C. Kifaro ◽  
P.H. Petersen
Keyword(s):  
Body Weight ◽  
The Body ◽  
Colour Pattern ◽  
Phenotypic Characterization ◽  
Body Measurements ◽  
Body Weights ◽  
Indigenous Goats ◽  
Similar Body

SummaryCharacterization of three strains of indigenous goats found in three regions of Tanzania was undertaken on the basis of their phenotypes viz: body weight and measurements, colour pattern, ears and horns.The three strains differed in the body weights and in the frequencies of the different coat colours. The Dodoma and Mtwara strains had similar body measurements, whereas the Kigoma strain was significantly smaller.

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 Relationship between body weight and linear body measurements in the Cobb broiler chicken

2020 ◽  
Vol 4 (2) ◽  
pp. 001-006
Author(s):  
Abdul Muumin Sadick ◽  
Godson Aryee ◽  
Patrick Atta Poku Jnr ◽  
Clement Gyeabour Kyere
Keyword(s):  
Body Weight ◽  
Rural Areas ◽  
Broiler Chickens ◽  
Linear Regression Analysis ◽  
The Body ◽  
Body Measurements ◽  
Animal Science ◽  
Beak Length ◽  
Body Parameters ◽  
Linear Body

The study was carried out at the poultry section of the Department of Animal Science farm, University of Education Winneba (Mampong - Ashanti campus, Ghana) from July, 2018 to September, 2018. Data were collected from fifty randomly selected and tagged birds. The data were collected weekly for eight weeks., Head length (HL), Beak length (BL), Body length (BL), Wing length (WL), shank length (SL), shank circumference(SC) and height(H) were taken randomly on five birds in each replicate at a day in every two weeks using tape measure and Vernier calipers. The data collected were analyzed using simple linear regression analysis. The results from the study indicated that, all linear body measurements were significantly (P<0.01) effected for the model, intercepts and slopes of the regression lines with linear response with the best predictor of body weight indicated for shank circumference. It was concluded from the study that; linear body measurements could be used to predict the body weight of broiler chickens. It is recommended that in areas, especially rural areas, where weighing balance or scale may not be readily available, a tailor’s tape can be used to measure linear body parameters and thereafter used to estimate body weight of chickens from the predictive equation.

scholarly journals Phenotypic Correlation of Body Weight and Linear Body Measurements in Muscovy (Cairinia Moschata) and Mallard (Anas Platyrhynchos) Ducks

2020 ◽  
pp. 13-17
Author(s):  
Ologbose F. I. ◽  
Mbara S. W.
Keyword(s):  
Body Weight ◽  
Correlation Coefficient ◽  
Linear Correlation ◽  
Selection Index ◽  
Body Height ◽  
Correlation Coefficients ◽  
The Body ◽  
Phenotypic Correlation ◽  
Body Measurements ◽  
Linear Body

Data on body weight and linear body measurements (LBMs) namely body height (BH), body length (BL), breast circumference (BC), thigh length (TL), bill length (BiL), wing length (WL) and shank length (SL) were taken from 120 ducks (i. e. 60 Muscovy and 60 Mallard ducks) at 4 and 8 weeks of age were analysed to obtain the phenotypic correlation between LBMs and body weight. The value of the pearson’s linear correlation coefficient to determine the level of relationship between the body weight and linear body measurement. This ranged from 0.488 (SL) – 0.996 (BH) and (0.729 (SL) – 0.996 (Bil) in Muscovy and Mallard duck at week 4 respectively. While, at week 8, the value of the pearson’s linear correlation coefficient ranges from 0.126 (Bil) – 0.960 (BL) and 0.735(BC) – 0.978 (BH) respectively. This positive and mostly significantly phenotypic relationship between the body weight and linear body measurements indicates that an improvement in one trait could leads to an improvement in the other. Correlation coefficients indicate the strength of a linear relation between traits and thus provide useful information about the traits involved for the purpose of breeding and improvement plan. This shows that favourable relationships exist among traits that have higher correlation coefficients, it further explains that such traits could be collectively included in the selection index to achieve positive phenotypic progress.

scholarly journals Prediction of grasscutters (Thryonomis swinderianus) body weight from linear body measurements

2021 ◽  
Vol 41 (1) ◽  
pp. 264-271
Author(s):  
A. J. Henry ◽  
S. N. Ibe ◽  
B. O. Asuquo
Keyword(s):  
Body Weight ◽  
Body Length ◽  
Goodness Of Fit ◽  
Correlation Coefficients ◽  
Tail Length ◽  
Experimental Period ◽  
The Body ◽  
Coefficient Of Determination ◽  
Body Measurements ◽  
Linear Body

A study was conducted to investigate the relationship between linear body measurements (LBMs) and body weights of grasscutters at 2, 4 and 6 weeks of age. Simple linear correlation procedure was used to establish the strength of linear relationships and associations between the different linear body measurements with body weight. These parameters were also subjected to step-wise regression analysis. The goodness of fit (R2) was tested to determine the contribution of each independent variable measured to the prediction of the dependent variable, the body weight of grasscutters at different ages of 2, 4,6, 8, 10, 12, 14, 16, 18 and 20 weeks. One hundred and thirty-nine (139) juvenile grasscutters obtained from 24 parents comprising of 18 does and 6 bucks were used for the study. Experimental animals were raised under a mixed feeding regime throughout the experimental period of 20 weeks. The linear body measurements assessed are head length (HL), body length (BL), heart girth (HG), ear length (EL) and tail length (TL). Correlation coefficients (r) between body measurements and weights were generally positive and significant (p < 0.01) at 2 weeks, demonstrating strong relationships between variables. At 4 weeks, correlation coefficients ranged from 0.013 to 0.829 whereas at 6 weeks values ranged from -0.230 to 0.859. Coefficient of determination (R2) varied from 0.926 to 0.997, 0.965 to 0.989 and 0.930 to 0.991 at 2, 4 and 6 weeks, respectively The positive correlation coefficients observed for body length and heart girth shows that these parameters can be improved upon for grasscutters raised under intensive management. Results from this study further revealed that body weight of grasscutters can be estimated under field condition using the ear,head, body lengths and heart girth in the absence of a weighing balance.

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