scholarly journals Relationships between body weight and some linear morphometric traits in Nigerian Nsukka ecotype local hens

Agro-Science ◽  
2021 ◽  
Vol 20 (3) ◽  
pp. 110-113
Author(s):  
N.E. Ikeh ◽  
O.R. Okwesili

Body weight (BW) and linear body measurements of 120 Nigerian Nsukka ecotype local hens in terms of body length (BL), chest girth (CG), thigh circumference (TC), thigh length (TL), and shank length (SL) were taken and subjected to Pearson correlation analysis to obtain the relationship between these growth traits. Multiple Linear Stepwise Regression procedure was used to find the best linear combination of the linear body measurements that can best predict BW. The findings showed that linear body measurement traits of Nigerian heavy ecotype local hens were strongly (p < 0.01) and positively correlated (0.5 < r) except thigh length which recorded a moderate value (0.3 < r > 0.5). The regression equations of linear body measurement traits with BW were positive with coefficient of determination ranging from 60.5-74.6%. The stepwise analyses showed shank length as best single measurement with R2 = 0.605, while inclusion of our five predictors in an equation resulted in R2 = 0.746. Thus, the following equation was generated: BW = – 1485.70 + 82.06 SL + 58.34 BL + 38.70 TC + 8.39 CG + 3.85 TL. This showed that they accounted for 74.6% of the variations in the BW of Nigerian heavy ecotype local hens. The prediction equations generated from linear body measurement traits are positive and strong, therefore can accurately be employed to predict the relative BW of Nigerian heavy ecotype local hens during selection programs as well as in the market with the use of measuring tape.

Author(s):  
Sandeep Kumar ◽  
S. P. Dahiya ◽  
Z. S. Dahiya ◽  
C. S. Patil

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.


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

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


2021 ◽  
Vol 13 (1) ◽  
pp. 134-143
Author(s):  
Thobela Louis Tyasi ◽  
Khomotso Mashiloane ◽  
Kwena Mokoena

Linear body measurement traits are used for the estimation of body weight in animal breeding to aid livestock farmers where the weighing scale is not available. The objective of the work was to determine the effect of breed on body weight (BW) and linear body measurement traits such as wing length (WL), keel length (KL), shank circumference (SC), chest circumference (CC) and beak length (BL) of two (Hy-line Silver Brown and Potchefstroom Koekoek) layer chicken layer breeds. A total of 100 layers with 50 for each breed were randomly selected for the study at the age of 22 weeks. Pearson’s correlation and Student T-Test were used for data analysis. Correlation was employed to examine the relationship between measured traits in each breed. Correlation findings showed that BW had a highly positive statistical significant correlation (p < 0.01) with WL (r = 0.76) in Potchefstroom Koekoek breed, while BW had a negative statistical significant correlation (p < 0.05) with WL (r = -0.27) in Hy-line Silver Brown chicken layer breed.  Student T-Test results indicated that Potchefstroom Koekoek chicken layer breed was statistically (P<0.05) heavier than Hy-line Silver Brown chicken layer breed. Potchefstroom Koekoek had longer wing length and chest circumference than Hy-line Silver Brown while Hy-line Silver Brown had longer (P<0.05) keel length, shank circumference and beak length than Potchefstroom Koekoek. It is concluded that the results suggest that Potchefstroom Koekoek chicken layer breed is a weightier indigenous layer but keel length, shank circumference and beak length might require improvement. It also suggests that improvement of WL might improve BW of Potchefstroom Koekoek breed while improvement of WL might decrease BW of Hy-line Silver Brown chicken layer breed.


2020 ◽  
Vol 45 (1) ◽  
pp. 61-72
Author(s):  
A. O. Iyiola-Tunji

This study was conducted at the Sheep Project Unit of Small Ruminant Research Programme (SRRP) of National Animal Production Research Institute (NAPRI), Ahmadu Bello University, Shika, Zaria. Balami, Uda and Yankasa breeds (sheep of Northern Nigeria) were crossed . A total of 65 Yankasa, 23 Uda and 16 Balami ewes were served by 4 Yankasa, 3 Uda and 3 Balami rams. The diallel breeding pattern produced 192 lambs. However, only the 65 yearling that survived up to 12 months of age (yearling) were used for this study. The yearling body weight and linear body measurement data were analysed using General Linear Model (GLM) procedures of SAS with model that incorporated lamb genotype as fixed effects. Pairwise difference was used to separate the mean (SAS, 2003). Distances were used to construct dendrogram using the Unweighted Pairs Group Method Analysis implemented in R 2.13.0 package. TREE procedure that prints the dendrogram based on the distances between the clusters was introduced in PROC CLUSTER procedure. Yearling genotype affected body weight and all the linear body measurements considered in this study (P<0.05). The pure Balami yearling (BL X BL) had the highest birth weight at 12 months of age (29.10±4.02kg). Clumping structure of yearling body weight among sheep of Northern Nigeria and their crosses were grouped into two clusters at distance 2.656. Pure Balami (BL X BL) formed the first cluster while the rest of the genotypes belong to the second cluster. The second cluster was further divided into two sub-groups at 0.796. The first sub-group had yearlings from pure Uda (UD X UD), Uda ram and Yankasa ewe (UD X YK), Uda ram and Balami ewe (UD X BL), Balami ram and Uda ewe (BL X UD) and Yankasa ram and Uda ewe (YK X UD) at 0.514. Similar clumping structures with two clusters share among the nine genotypes at varied distances were recorded for all the linear body measurements studied. Patterns of similarities were established for yearling body weight and linear body measurements among sheep of Northern Nigeria and their crosses. Improvement plans for yearling growth traits of sheep in Nigeria should consider the genotypes with divergent genetic distances as sires and dams. This will ensure the best exploration of positive heterosis.  


2020 ◽  
Vol 46 (3) ◽  
pp. 39-43
Author(s):  
A. A. Adeoye

Data on body weight and linear body measurements collected from 101 America StandardChinchilla rabbits comprised of 62 females and 39 males at eight weeks were used todetermine the effect of sex and phenotypic correlations among the growth traits. Theestimates were statistically (p<0.05) higher in the female compared with male in virtually all the traits considered except in the fore arm length. The values for body weight, body length, ear length, tail length, fore arm length, heart girth and abdominal circumference for females were 1.19 kg, 31.97 cm, 10.67 cm, 9.89 cm, 15.61 cm, 21.61 cm and 23.75 cm, respectively while the corresponding values for males were 0.88 kg, 28.00 cm, 10.44 cm, 8.95 cm, 14.74 cm, 19.62 cm and 21.67 cm. The correlation between body weight and the linear body measurements was positively significant (p<0.05 and p<0.001) and ranged between 0.301 and 0.951 in males while in females positive and significant correlations were found between body weight and body length (0.831), tail length (0.184), heart girth (0.788) and abdominal circumference (0.719). The correlations among the linear body measurements in the males ranged between 0.108 and 0.951 while in females it ranged between -0.235 and 0.681. The positive relationships between body weight and linear body measurements can be used as basis for body weight selection in both male and female rabbits


2021 ◽  
Vol 41 (1) ◽  
pp. 264-271
Author(s):  
A. J. Henry ◽  
S. N. Ibe ◽  
B. O. Asuquo

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.


2020 ◽  
Vol 45 (4) ◽  
Author(s):  
I. O. Dudusola ◽  
E. A. Adeyemi ◽  
O. F. Oyeromi

A total of 168 two-weeks-old Japanese quail chicks of mixed sex were used to study the relationship between Body weight and linear measurements in Japanese quail. Data were collected on body weight, body length, body girth, wing length, shank length and drumstick length fortnightly for eight weeks to predict body weight. Data were subjected to SAS for analysis. The mean body weights were 38.31, 81.12, 121.38 and 132.15g, respectively. Body weight gain increased as the birds advance in age and the highest body weight gain was between week 2 and week 4. Female birds were significantly (P< 0.05) heavier than male. Body weight had a positive correlation with all linear body measurements at week 2 except for drumstick length. The best correlation was obtained between body weight and body girth at the 2nd week of age (0.82) (P< 0.05). The estimates of coefficient of determination which ranged from 0.0043 to 0.68 and predictive equations show that body weight in Japanese quail is linearly related to body measurements especially with body girth and body length. The study showed that Body girth and Body length could be used as criteria for assessment and early selection of Japanese quail for body weight.


2021 ◽  
Vol 17 ◽  
pp. 42-47
Author(s):  
F.O Adeniji ◽  
K. L. Ayorinde

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.


2021 ◽  
Vol 32 (2) ◽  
pp. 191-197
Author(s):  
S. N. Ibe ◽  
V. N. Obasi ◽  
G. S. Ojewola ◽  
E. N. Nwachukwu

Records of body weight (BW) and linear body measurement (LBMs), namely body length (BL), body width (bwh), heart girth (hg), height-at withers (HW), shoulder-to-tail drops (ST), ear lenght (EL), head-to-shoulder (HS), lenght of fore limb (LFL), lenght of hind limb (LHL) and head circumference (HC) taken on 72 kits produced through complete dialled crosses were used to estimate heterosis and recipocal effects. The crosses involved New Zealand White (NZW), Dutch (DT) and Cchinchilla (CH) breeds of rabbit. Only NZW x DT and CH x DT crosses showed heterosis for BWs, indicating that non-additive sults for all effects of genes could be important for the LBMs were generally similar. Recipocal effect was not significant (p<0.05) for all traits. suggesting that any of the breeds may be used as sire or dam in planned crossesbreeding programmes.


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