scholarly journals Using Astragalus to Model Body Mass, Habitat Preference, and Population Density of Prehistoric Bovid Duboisia santeng (Dubois, 1891) in Eastern Java island in The Early Pleistocene

2020 ◽  
Author(s):  
Andri Wibowo
Keyword(s):  
Population Density ◽  
Body Mass ◽  
Habitat Preference ◽  
Regression Models ◽  
The Body ◽  
Early Pleistocene ◽  
Large Herbivores ◽  
Length Width ◽  
Fossil Records ◽  
The Relationship

Astragalus bone is one of the most important fossil records as it can reconstruct the prehistoric life. Respectively, this study aims to model the body mass, habitat preference, and population density of prehistoric bovid Duboisia santeng (Dubois 1891) in eastern Java island in the early Pleistocene. The astragali from 9 specimens were used to estimate the body mass and population density. Likewise regression models are used to analyze the relationship between astragalus lateral length, width, and body mass compared to the astragalus of extant Bovid species. The result revealed the body mass average was 60.3 kg (95%CI: 58.9-61.7) and this indicates the D. santeng belongs to large herbivores. While the population density was estimated at about 5.39 individuals per km2 (95% CI: 3.18-7.6).

scholarly journals Relationship between body mass index and body condition score in Pelibuey ewes

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Eufracia De R. Salazar-Cuytun ◽  
Alfonso J. Chay-Canul ◽  
Martin Ptácek ◽  
Ricardo A. García-Herrera ◽  
Flor De María Rivera-Alegría ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Body Condition ◽  
Regression Models ◽  
Body Condition Score ◽  
The Body ◽  
M 10 ◽  
Condition Score ◽  
The Relationship

The objectives of this study were to detect the relationship between body mass index (BMI) and body condition score (BCS) in Pelibuey ewes to predict BMI based on well-known BCS estimation. The body weight (BW), withers height, (WH), body length (BL) and BCS were determined in 402 ewes. The BMI was calculated as: BMI = (BW (kg)/WH (m)/ BL (m))/10. Relationships were estimated by means of regression models using PROC REG of the SAS. The BMI and the BCS showed a high relationship; correlation coefficient (r) of 0.80 (P<0.001). The linear regression for BMI prediction was as followed: BMI (kg/m2) = 8.38 (±0.189***) + 1.70 (±0.064***) × BCS (R2 = 0.65, MSE: 2.56; RMSE: 1.60; P <.0001 and n = 402). The BMI could be used as an indicator of the degree of obesity in non-pregnant and non-lactating Pelibuey ewes under field conditions.

scholarly journals Analysis of Relationship between the Body Mass Composition and Physical Activity with Body Posture in Children

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Justyna Wyszyńska ◽  
Justyna Podgórska-Bednarz ◽  
Justyna Drzał-Grabiec ◽  
Maciej Rachwał ◽  
Joanna Baran ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass ◽  
Muscle Tissue ◽  
Physical Activity Level ◽  
The Body ◽  
Body Posture ◽  
Activity Level ◽  
Mass Composition ◽  
Body Mass Composition ◽  
The Relationship

Introduction. Excessive body mass in turn may contribute to the development of many health disorders including disorders of musculoskeletal system, which still develops intensively at that time.Aim. The aim of this study was to assess the relationship between children’s body mass composition and body posture. The relationship between physical activity level of children and the parameters characterizing their posture was also evaluated.Material and Methods. 120 school age children between 11 and 13 years were enrolled in the study, including 61 girls and 59 boys. Each study participant had the posture evaluated with the photogrammetric method using the projection moiré phenomenon. Moreover, body mass composition and the level of physical activity were evaluated.Results. Children with the lowest content of muscle tissue showed the highest difference in the height of the inferior angles of the scapulas in the coronal plane. Children with excessive body fat had less slope of the thoracic-lumbar spine, greater difference in the depth of the inferior angles of the scapula, and greater angle of the shoulder line. The individuals with higher level of physical activity have a smaller angle of body inclination.Conclusion. The content of muscle tissue, adipose tissue, and physical activity level determines the variability of the parameter characterizing the body posture.

Gill and Body Surface Areas of the Carp in relation to Body Mass, With Special Reference To The Metabolism-Size Relationship

1985 ◽  
Vol 117 (1) ◽  
pp. 1-14 ◽  
Author(s):  
SHIN OIKAWA ◽  
YASUO ITAZAWA
Keyword(s):  
Special Reference ◽  
Body Mass ◽  
Body Surface ◽  
Larval Stage ◽  
The Body ◽  
Positive Allometry ◽  
Surface Areas ◽  
Gill Area ◽  
Resting Metabolism ◽  
The Relationship

The relationships of resting metabolism per unit mass of body to gill and body surface areas were examined by measuring gill, body surface and fin areas of carp ranging from 0.0016 to 2250g. There was a triphasic allometry for the relationship between gill area and body mass: during the prelarval (0.0016–0.003 g) and postlarval (0.003–0.2g) stages there was a positive allometry (slopes of 7.066 and 1.222, respectively), during the juvenile and later stages (0.2–2250 g) there was a negative allometry with a slope of 0.794. There was a diphasic negative allometry for the relationship between surface area of the body or the fins and body mass, with a slope of 0.596 or 0.523 during the larval stage and 0.664 or 0.724 during the juvenile and later stages, respectively. Except for the 3rd phase (juvenile to adult) of gill area, these slopes were significantly different (P&lt;0.01) from the slope for the relationship between resting metabolism and body mass of intact carp (0.84; value from Winberg, 1956). It is considered, therefore, that gill, body surface and fin areas do not directly regulate the resting metabolism of the fish, in the larval stage at least.

scholarly journals Prevalence of Obesity and the Relationship between the Body Mass Index and Body Fat: Cross-Sectional, Population-Based Data

PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e29580 ◽  
Author(s):  
Julie A. Pasco ◽  
Geoffrey C. Nicholson ◽  
Sharon L. Brennan ◽  
Mark A. Kotowicz
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Population Based ◽  
The Body ◽  
Cross Sectional ◽  
Prevalence Of Obesity ◽  
The Relationship

Evaluation of the relationship between the topographical anatomy in the axillary region of the brachial plexus and the body mass index

2017 ◽  
Vol 32 (4) ◽  
pp. 779-784
Author(s):  
Omur Ozturk ◽  
Aysu Hayriye Tezcan ◽  
Ali Bilge ◽  
Hakan Ateş ◽  
Hatice Yagmurdur ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Brachial Plexus ◽  
Body Mass ◽  
The Body ◽  
Topographical Anatomy ◽  
Axillary Region ◽  
The Relationship

The relationship between the body mass index (BMI) and foot posture in elderly people

2011 ◽  
Vol 52 (2) ◽  
pp. e89-e92 ◽  
Author(s):  
Thaís Rabiatti Aurichio ◽  
José Rubens Rebelatto ◽  
Alessandra Paiva de Castro
Keyword(s):  
Body Mass Index ◽  
Elderly People ◽  
Body Mass ◽  
The Body ◽  
Foot Posture ◽  
The Relationship

Biometry of tongue and its association with various body measurements in prediction of fetal age in Surti goat fetus (Capra hircus)

2017 ◽  
Author(s):  
Milan M. Chudasama ◽  
Nirav H. Joshi ◽  
Mahendra C. Desai ◽  
Jay Prakash Gupta ◽  
Prakash M. Ghule ◽  
...  
Keyword(s):  
Prediction Equation ◽  
The Body ◽  
Capra Hircus ◽  
Regression Equations ◽  
Body Measurements ◽  
Crown Rump Length ◽  
Length Width ◽  
Biometric Measurements ◽  
High Degree ◽  
The Relationship

The present study was carried out on tongue measurements in Surti goat fetus to establish the relationship among various biometric measurements of the tongue and body in relation to prediction of fetal age. Total 39 apparently normal Surti goat fetuses were procured and categorized into three groups based on Crown-rump length. The body measurements like Crown-rump length, Curved Crown-rump length, height at withers and height at pin of fetuses were taken. The biometrical measurements of the tongue were recorded identically weight, length, width, thickness and circumference. Tongue biometry and body measurement’s association determined by simple linear correlation. Attempts were made for development of prediction equation for prediction of fetal age with tongue and body measurements. All the biometric measurements of tongue increase significantly (p£0.05) with advancement of age. Association among biometric measurements of the tongue and body expressed high degree of positive correlation. Predictability of regression equations is very high for prediction of fetal age. All biometric and body measurement’s correlations are highly significant (p£0.01).

scholarly journals Factors associated with parasite dominance in fishes from Brazil

2016 ◽  
Vol 25 (2) ◽  
pp. 225-230
Author(s):  
Cristina Fernandes do Amarante ◽  
Wagner de Souza Tassinari ◽  
Jose Luis Luque ◽  
Maria Julia Salim Pereira
Keyword(s):  
Linear Regression ◽  
Body Length ◽  
Regression Models ◽  
Mixed Model ◽  
Multiple Linear Regression Model ◽  
Mixed Effects ◽  
The Body ◽  
Linear Regression Models ◽  
Biological Aspects ◽  
The Relationship

Abstract The present study used regression models to evaluate the existence of factors that may influence the numerical parasite dominance with an epidemiological approximation. A database including 3,746 fish specimens and their respective parasites were used to evaluate the relationship between parasite dominance and biotic characteristics inherent to the studied hosts and the parasite taxa. Multivariate, classical, and mixed effects linear regression models were fitted. The calculations were performed using R software (95% CI). In the fitting of the classical multiple linear regression model, freshwater and planktivorous fish species and body length, as well as the species of the taxa Trematoda, Monogenea, and Hirudinea, were associated with parasite dominance. However, the fitting of the mixed effects model showed that the body length of the host and the species of the taxa Nematoda, Trematoda, Monogenea, Hirudinea, and Crustacea were significantly associated with parasite dominance. Studies that consider specific biological aspects of the hosts and parasites should expand the knowledge regarding factors that influence the numerical dominance of fish in Brazil. The use of a mixed model shows, once again, the importance of the appropriate use of a model correlated with the characteristics of the data to obtain consistent results.

Sign in / Sign up

Export Citation Format

Share Document