Bone-to-Body Biometric Relationships for Owens and Lahontan Tui Chubs and their Hybrids in California

2013 ◽  
Vol 4 (2) ◽  
pp. 326-331 ◽  
Author(s):  
Pedro M. Leunda ◽  
David Galicia ◽  
Rafael Miranda ◽  
Javier Madoz ◽  
Steve Parmenter
Keyword(s):  
Body Weight ◽  
Body Length ◽  
Growth Effect ◽  
Coefficient Of Determination ◽  
Hybrid Swarm ◽  
Data Set ◽  
Weight Relationship ◽  
Regression Parameters ◽  
Tui Chub ◽  
Log Linear

Abstract Regression parameters for the length of several bony structures against fish body length, and for body length against body weight, were determined for Owens tui chub Siphateles bicolor snyderi, Lahontan tui chub Siphateles bicolor obesa, and hybrid swarm deriving from the two species. Two-hundred eleven individuals from 16 localities from the Owens River and neighboring basins along the border between California and Nevada were used for regression analyses. The coefficient of determination of linear regressions for scales, pharyngeal arches, dentaries, cleithra, and opercula against body length were consistently high (r2 ≥ 0.9). Differences between subspecies were mainly with reference to the intercept parameter in comparisons involving Lahontan tui chub. Coefficients of determination from log-linear length–weight regressions were also high (r2 ≥ 0.9) for individual taxa and for the pooled data set combining both Lahontan and hybrid species. The length–weight relationship did not differ between subspecies. Estimates of the length–weight relationship using data pooling both Lahontan and hybrid tui chub suggest a weak allometric growth effect (P < 0.05). The bone-length to body-length and body-length to body-weight relationships presented here will be useful tools for future dietary studies of tui chub predators as well as for archaeological and paleontological studies on tui chub remains.

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.

scholarly journals Fecundity of Wild Freshwater Spiny Eel Mastacembelus armatus Lacepede from Mymensingh Region of Bangladesh

2006 ◽  
Vol 19 (1) ◽  
Author(s):  
M. M. RAHMAN ◽  
G. U. AHMED ◽  
S. M. RAHMATULLAH
Keyword(s):  
Body Weight ◽  
Body Length ◽  
Breeding Period ◽  
Gonad Weight ◽  
Ovary Weight ◽  
Weight Relationship ◽  
Total Length ◽  
Same Gender ◽  
Mastacembelus Armatus ◽  
Sudden Decrease

The fecundity for 40 wild freshwater spiny eel Mastacembelus armatus estimated from Mymensingh region, Bangladesh during the breeding period from March to July 2004. The estimation of fecundity (mature ova) ranged from 3,155 to 24,684 eggs, the maximum fecundity was observed from a fish measuring 535 mm in length and 350 g in weight and the minimum from a fish of 260 mm in length and 51 g in weight. The maximum ova diameter was 2.75 mm in the month of April and minimum was 1.45 mm in May with a median of 2.08 mm in the month of March and then a sudden decrease in July (1.84 mm). The average number of ova present per gm body weight was 70.19 while the average number of ova present per gm ovary weight was 888.04. Fecundity increased with the increase in length and weight of the fish. Maximum GSI value for female spiny eel was 21.67% in the month of March and the minimum GSI value for the same gender was 3.30% in April and the median GSI value for the same was 8.06% in the month of May. The regressions of fecundity on body length, body weight and gonad weight of female spiny eels were Log F = 2.59 - 2.72 × Log L (r = 0.86), Log F = 1.00 + 1.84 × Log BW (r = 0.88) and Log F = 0.69 + 3.25 × Log GW (r = 0.75) respectively, where F is fecundity, L is total length (mm), BW is body weight (g) and GW is gonad weight (g). Fecundity-total length and fecunditybody weight gave a better relationship in comparison with fecundity-gonad weight relationship.

scholarly journals Relationship between Body Weight and Linear Body Measurements in Japanese Quail (Coturnix coturnix japonica)

2013 ◽  
Vol 6 (1) ◽  
pp. 175-183 ◽  
Author(s):  
O. Victoria ◽  
T. R. Fayeye ◽  
K. Luke Ayorinde ◽  
H. Olojede
Keyword(s):  
Body Weight ◽  
Body Length ◽  
Japanese Quail ◽  
Body Weight Gain ◽  
Coefficient Of Determination ◽  
Body Measurements ◽  
Linear Measurements ◽  
Body Weights ◽  
Old Japanese ◽  
Positive Correlations

A total of 108 two-weeks-old Japanese quail chicks were used to study the relationship between body weight and linear measurements and to predict body weight from linear measurements of body length (BL), body girth (BG), wing length (WL), shank length (SL), shank diameter (SD) and drum stick (DS).The results showed that the mean quail birds’ body weights were 35.23g and 143.78g, at 2nd and 8th weeks, respectively. Body weight gain was increased between 2 and 6 weeks of age and thereafter decreased with advancing age. Female birds were significantly (P< 0.05) heavier than those of male counterpart at 6th and 8th weeks of age. Significantly positive correlations (P<0.01) were obtained between body weight and body measurements at 2nd, 4th and 8th weeks. The best correlation was obtained between body weight and body girth at the 2nd week of age (0.70). The estimates of coefficient of determination 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 shows that it is possible for breeders to use BG and BL as criteria for assessment and early selection of Japanese quail for body weight.  Keywords: Japanese quail; Body weight; Linear measurements; Correlation  © 2014 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.  doi: http://dx.doi.org/10.3329/jsr.v6i1.16368 J. Sci. Res. 6 (1), 175-183 (2014)  

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.

Somatic characteristics and reproduction potential of snow vole and Tatra vole (Rodentia) in Slovakia

Biologia ◽  
2012 ◽  
Vol 67 (4) ◽  
Author(s):  
Ivan Baláž ◽  
Michal Ambros
Keyword(s):  
Body Weight ◽  
Body Length ◽  
Reproductive Potential ◽  
Tail Length ◽  
The Body ◽  
Data Set ◽  
Foot Length ◽  
Chionomys Nivalis ◽  
Reproduction Season ◽  
Hind Foot

AbstractSomatic features (morphometric or meristic features, i.e., body weight, length of body, tail, hind foot and ear) and reproduction characteristics (number of embryos in uterus, reproduction potential, duration of reproduction season) are the basic attributes of the biology of a species. In the present paper, biometry of somatic characteristics and reproduction potential of two mountain vole species, the Tatra vole (Microtus tatricus) and the snow vole (Chionomys nivalis) which originate from various sites of Slovakia, were investigated. Among somatic features, the body length, tail length, hind foot length, length of ear and body weight were assessed. The highest variability was found in body length and the lowest one in the hind foot length. These characteristics were evaluated separately for sub-adult and adult individuals, and males and females. Values of somatic features and body weight of both species are larger in males than in females. Throughout the life of these rodents, the ratio between the length of tail and length of body does not vary considerably. The reproductive potential of the two species is, compared to other small mammals, very low and the length of reproductive season is shorter in the extreme conditions of the mountain environment. Thanks to a sufficient data set, it was possible to evaluate the influence of altitude on somatic features as well as on reproduction potential of M. tatricus and it was found that the average values of somatic features and body weight increased with increasing altitude.

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.

Prediction of body weight from linear body measurements in Japanese quail

2020 ◽  
Vol 45 (4) ◽  
Author(s):  
I. O. Dudusola ◽  
E. A. Adeyemi ◽  
O. F. Oyeromi
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Body Length ◽  
Japanese Quail ◽  
Body Weight Gain ◽  
Coefficient Of Determination ◽  
Body Measurements ◽  
Male Body ◽  
Body Weight Data ◽  
Linear Body

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.

Mandibular Protractions and Their Correlation with Meal Size in Juvenile Thai Snakes During Ingestion of Rodent Prey

2011 ◽  
Vol 4 (1) ◽  
pp. 31-33
Author(s):  
Merel J. Cox ◽  
David Chiszar ◽  
Hobart M. Smith
Keyword(s):  
Body Weight ◽  
Body Length ◽  
Meal Size ◽  
Allometric Growth ◽  
Rodent Prey

Nine neonatal and juvenile snakes, four vipers and five nonvipers, were fed rodent meals varying in size, expressed as percent of snake body weight. The number of mandibular protractions and the time to complete swallowing were recorded, with both measures increasing linearly as a function of meal size. These young snakes routinely swallowed meals that were 50% of body weight, and ranged up to 80%, far higher than meals reported by previous workers studying adult vipers (36.4%) and nonvipers (18.4%). Furthermore, the slopes of regressions relating mandibular protractions to meal size in all of our snakes were lower than comparable slopes for adult vipers or nonvipers. We hypothesized that the relatively long and wide skulls of young snakes (i.e., as proportion of body length) were responsible for these ingestive accomplishments, with negative allometric growth being responsible for performance changes during ontogeny.

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

scholarly journals Correlation between the structure and skin permeability of compounds

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ruolan Zeng ◽  
Jiyong Deng ◽  
Limin Dang ◽  
Xinliang Yu
Keyword(s):  
Large Data ◽  
Qsar Model ◽  
Coefficient Of Determination ◽  
Support Vector ◽  
Skin Permeability ◽  
Data Set ◽  
Test Set ◽  
Svm Algorithm ◽  
Svm Model ◽  
Toxicity Relationship

AbstractA three-descriptor quantitative structure–activity/toxicity relationship (QSAR/QSTR) model was developed for the skin permeability of a sufficiently large data set consisting of 274 compounds, by applying support vector machine (SVM) together with genetic algorithm. The optimal SVM model possesses the coefficient of determination R2 of 0.946 and root mean square (rms) error of 0.253 for the training set of 139 compounds; and a R2 of 0.872 and rms of 0.302 for the test set of 135 compounds. Compared with other models reported in the literature, our SVM model shows better statistical performance in a model that deals with more samples in the test set. Therefore, applying a SVM algorithm to develop a nonlinear QSAR model for skin permeability was achieved.

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