scholarly journals The Relationship between the Body Measurements of Cows and the Growth Traits of their Calves in Japanese Black Cattle

1994 ◽  
Vol 65 (4) ◽  
pp. 334-339
Author(s):  
Keigo KUCHIDA ◽  
Kazuyoshi CHIBA ◽  
Toshihiro YAMAGISHI ◽  
Hiroshi UCHIDA ◽  
Akira NISHIDA
Keyword(s):  
Growth Traits ◽  
The Body ◽  
Body Measurements ◽  
Japanese Black Cattle ◽  
The Relationship

scholarly journals Genotype, gestation length, season, parity and sex effects on growth traits of two rabbit breeds and their crosses

2014 ◽  
Vol 30 (4) ◽  
pp. 717-729 ◽  
Author(s):  
S.S.A. Egena ◽  
G.N. Akpa ◽  
I.C. Alemede ◽  
A. Aremu
Keyword(s):  
Growth Traits ◽  
Tail Length ◽  
The Body ◽  
Gestation Length ◽  
Body Measurements ◽  
Season Of Birth ◽  
Trunk Length ◽  
Body Dimensions ◽  
Sex Effects ◽  
Foundation Stock

One hundred and thirty rabbits were used to evaluate the effect of genotype, gestation length, season, parity and sex on growth traits of two breeds of rabbit and their crosses. The rabbit used for the experiment were breeds of the New Zealand White (NZW) and Chinchilla (CH) breed. Six breeding bucks (three/breed) and eighteen breeding does (nine/breed) served as the foundation stock. Traits measured include: body weight (BW), nose to shoulder length (NTS), shoulder to tail length (STL), heart girth (HG), trunk length (TL) and length of ear (LE). Results revealed that, BW of the rabbits were influenced (p<0.05) by genotype, gestation length and season. CH x (CH x NZW) progenies had better BW at 35-d and 49-d of age while NZW x CH progenies had better BW at 21-d of age. Kittens born late (32-34 days) had better BW at 21-d, 35-d and 49-d while kittens kindled during early dry season had better BW at 21-d, 35-d and 49-d. Genotype affected (p<0.05) all the body measurements at 21-d, 35-d and 49-d. Gestation length affected (p<0.05) all the body measurements except for NTS at 21-d and HG at 49-d respectively. Season of birth also influenced (p<0.05) all the body measurements except for LE 21-d. Parity and sex had no effect (p>0.05) on BW, NTS, STL, HG, TL and LE. It was concluded that genotype, gestation length and season influenced BW and body dimensions of the two breeds of rabbit and their crosses while parity and sex had no effect.

Predicting human dimensions in body images for automatic generation of female pants patterns

2018 ◽  
Vol 89 (18) ◽  
pp. 3792-3801 ◽  
Author(s):  
Bingfei Gu ◽  
Xinhua Li ◽  
Yanhong Yan ◽  
Junqiang Su
Keyword(s):  
Prediction Models ◽  
Automatic Generation ◽  
Human Dimensions ◽  
Pattern Generation ◽  
The Body ◽  
Body Measurements ◽  
Body Images ◽  
Production Time ◽  
Body Dimensions ◽  
The Relationship

This study proposed a method on how to obtain and predict body measurements from frontal and side images of a subject for the individualized pattern generation of women's pants. According to the relationship between front and back patterns and a body torso, 32 important pattern dimensions relevant to certain body dimensions were determined by the graphic flattening method. For the body dimensions (such as perimeters) that could not be directly extracted from the body images, the prediction models were established based on the available width and depth measurements. The body measurements from the body images of 425 subjects were compared with the corresponding manual measurements, which showed a good correlation between the automated and manual measurements. The tried-on test showed that the pants made with the generated patterns demonstrated good fitting effect at the important characteristic landmarks of a participating subject. This method can accelerate the pattern-making process for women's pants based on body measurements, reducing human efforts, costs and production time.

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 Karakteristik Kuantitatif Sapi Bali dan Sapi Simbal (Simmental X Bali) di Kecamatan Renah Pamenang Kabupaten Merangin

2021 ◽  
Vol 11 (1) ◽  
pp. 30
Author(s):  
Husni Almakmum ◽  
Depison Depison ◽  
Helmi Ediyanto
Keyword(s):  
Body Weight ◽  
Body Size ◽  
Weight Gain ◽  
Body Weight Gain ◽  
The Body ◽  
Chest Circumference ◽  
Body Measurements ◽  
Quantitative Characteristics ◽  
Bali Cattle ◽  
The Relationship

Abstract This study aimed to determine the quantitative characteristics, the determinant of body size and shape, and the correlation of body measurements and the bodyweight of Bali and Simbal cattle in Renah Pamenang, Merangin District. The survey method was used along with purposive sampling, the samples were Bali and Simbal cattle aged I1 (Incicivus 1) and not in pregnant condition, with 60 cattle consisting of 30 males and 30 females. Observed data included: body weight, body weight gain, body length, shoulder height, chest circumference, chest weight, chest width, hip height, and canon circumference were analyzed using the t-test method. The principal component analysis was used to determine the determinant of size and shape of Bali and Simbal cattle followed by the regression and correlation analysis to determine the relationship and closeness of the relationship between body measurements with body weight. The result showed that the body weight, body weight gain, and body size of Bali cattle were significantly different (P <0.05) from Simbal. The body weight, body weight gain, and body size of Bali cattle were lower than Simbal cattle. The main characteristic of size in Bali and Simbal cattle was the Chest Circumference. The dominant characteristic of shape in Bali and Simbal cattle was shoulder height. The highest correlation between body measurements and body weight in Bali and Simbal cattle was the chest circumference. Keywords: Quantitative Characteristics; Bali Cattle; Simbal Cattle.   Abstrak Penelitian ini bertujuan untuk mengetahui karakteristik kuantitatif, penciri ukuran dan bentuk tubuh, serta korelasi ukuran-ukuran tubuh dengan bobot badan sapi Bali dan Simbal di Kecamatan Renah Pamenang Kabupaten Merangin. Metode yang digunakan adalah survey dengan pengambilan sampel secara purposive sampling, yaitu sapi Bali dan Simbal, umur I1 (Incicivus 1),  dan tidak dalam keadaan bunting sebanyak 60 sampel yang terdiri dari 30 ekor jantan dan 30 ekor betina pada masing-masing bangsa. Data yang dihimpun meliputi : bobot badan, pertambahan bobot badan, panjang badan, tinggi pundak, lingkar dada, dalam  dada, lebar dada, tinggi pinggul dan lingkar kanon dianalisis menggunakan uji-t. Analisis komponen utama digunakan untuk mengetahui penciri ukuran dan bentuk tubuh sapi Bali dan Simbal kemudian dilanjutkan analisis regresi dan korelasi untuk mengetahui hubungan dan keeratan hubungan antara ukuran-ukuran tubuh dengan bobot badan. Hasil penelitian menunjukkan bahwa bobot badan, pertambahan bobot badan dan ukuran-ukuran tubuh sapi Bali berbeda nyata (P<0,05) dengan Simbal. Bobot badan, pertambahan bobot badan dan ukuran-ukuran tubuh sapi Bali lebih rendah dibandingkan Simbal. Penciri ukuran pada sapi Bali dan Simbal adalah lingkar dada. penciri bentuk pada sapi Bali dan Simbal adalah tinggi pundak. Korelasi tertinggi antara ukuran-ukuran tubuh dengan bobot badan sapi Bali dan Simbal adalah lingkar dada. Kata kunci: Karakteristik kuantitatif; Sapi Bali; Sapi Simbal

scholarly journals Predicting body weight from body measurements of pre-pubertal Ayrshire heifers

1996 ◽  
Vol 5 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Päivi Mäntysaari
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Actual Body ◽  
Body Length ◽  
The Body ◽  
Body Measurements ◽  
Actual Body Weight ◽  
Feeding Level ◽  
Highly Correlated ◽  
The Relationship

The relationship between heart girth, wither height, body length and body weight in 3- to 9.5-month-old pre-pubertal Finnish Ayrshire heifers gaining 600-650 g/d was analysed (experiment I). Regression analysis showed that heart girth was the trait most highly correlated to body weight (R2 = 0.969). Including body length or wither height as a second term in the regression, increased R2 values only slightly. When the relationship between heart girth and body weight was used to predict the body weight of heifers reared at two feeding levels (experiment II), the precision of prediction was affected by the plane of nutrition. Actual body weight for a given heart girth was slightly higher on the high than on the low feeding level. It is, nevertheless, concluded that the equations presented in the paper can be used to estimate accurately the body weight of pre-pubertal (95-140-cm heart girth) Ayrshire heifers gaining 550-700 g/d.

Estimating body mass of pumas (Puma concolor)

2011 ◽  
Vol 38 (2) ◽  
pp. 147 ◽  
Author(s):  
Brian D. Jansen ◽  
Jonathan A. Jenks
Keyword(s):  
Body Mass ◽  
Body Length ◽  
Prediction Interval ◽  
Puma Concolor ◽  
Black Hills ◽  
The Body ◽  
Body Measurements ◽  
Study Population ◽  
The Difference ◽  
The Relationship

Context Body mass of animals has been estimated using body measurements and formulas have been developed for some species of large ungulates and carnivores. Pumas (Puma concolor) are often captured for sport and research in remote and rugged terrain and equipment needed to weigh a captured animal is not often carried because of the remoteness. Aims We investigated whether body measurements were related to body mass for pumas, to develop an equation that would accurately estimate body mass of pumas within desired tolerances (~10 kg). We also used our model to predict the body mass of pumas captured in other locales, to investigate the effectiveness of our model on other populations. Methods We used multiple regression to determine the relationships between body measurements and body mass for 58 pumas in the Black Hills. We then applied our top equation to eight pumas that we captured in areas outside the Black Hills study population. Key results We found that a model using body length (cm) and head and chest circumferences (cm) explained 89% of the variation in body mass; sex and age-class information did not contribute significantly to the model. Our top equation was as follows: body mass (kg) = –61.07 + 0.21 × body length (cm) + 0.56 × head circumference (cm) + 0.83 × chest circumference (cm). The 95% prediction interval for our top model was –6.3–6.3 kg. We found the difference between predicted and actual body mass of pumas from other populations was –0.40 kg ± 1.45 (s.e.). Conclusions We found the relationship between body measurements and body mass to be similar, despite the differences in location and environments. Implications This model could be used by researchers and sport hunters to estimate the mass of a pumas that were not weighed with a scale.

scholarly journals Prediction of Carcass Traits of Hair Sheep Lambs Using Body Measurements

Animals ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1276
Author(s):  
Emmanuel Bautista-Díaz ◽  
Jesús Alberto Mezo-Solis ◽  
José Herrera-Camacho ◽  
Aldenamar Cruz-Hernández ◽  
Armando Gomez-Vazquez ◽  
...  
Keyword(s):  
Body Weight ◽  
Soft Tissues ◽  
Carcass Characteristics ◽  
The Body ◽  
Body Measurements ◽  
Hair Sheep ◽  
Dorsal Midline ◽  
Bone Width ◽  
The Relationship ◽  
Diagonal Length

The present study was designed to evaluate the relationship between the body measurements (BMs) and carcass characteristics of hair sheep lambs. Twenty hours before slaughter, the shrunk body weight (SBW) and BMs were recorded. The BMs involved were height at withers (HW), rib depth (RD), body diagonal length (BDL), body length (BL), pelvic girdle length (PGL), rump depth (RuD), rump height (RH), pin-bone width (PBW), hook-bone width (HBW), abdomen width (AW), girth (GC), and abdomen circumference (AC). After slaughter, the carcasses were weighed and chilled for 24 h at 1 °C, and then were split by the dorsal midline. The left-half was dissected into total soft tissues (muscle + fat; TST) and bone (BON), which were weighed separately. The weights of viscera and organs (VIS), internal fat (IF), and offals (OFF—skin, head, feet, tail, and blood) were also recorded. The equations obtained for predicting SBW, HCW, and CCW had an r2 ranging from 0.89 to 0.99, and those for predicting the TST and BON had an r2 ranging from 0.74 to 0.91, demonstrating satisfactory accuracy. Our results indicated that use of BMs could accurately and precisely be used as a useful tool for predicting carcass characteristics of hair sheep lambs.

scholarly journals Korelasi fenotip antara ukuran bagian tubuh dengan bobot badan dari silangan ayam pedaging, kate dan lokal sabu pada umur dua belas minggu

2020 ◽  
Vol 7 (1) ◽  
pp. 51-54
Author(s):  
Yohanes Djego ◽  
Johny Nada Kihe
Keyword(s):  
Body Weight ◽  
Correlation Analysis ◽  
The Body ◽  
Chest Circumference ◽  
Body Measurements ◽  
Wing Span ◽  
Research Material ◽  
Genotype Composition ◽  
Relationship Of ◽  
The Relationship

ABSTRACT   The purpose of this research was to know the relationship between the the weight and body measurements at age of 12 weeks  of crossbreds of three chicken types that were broiler, kate and Sabu chicken. The relationship of body weight with the body measurements  was used as a consideration for selecting the body weight.  The research  material  was 30 tails of  crossbreds  with genotype composition was ½ broiler 1/4  Kate ¼ Sabu chicken.  The method of research was experiment and directly weighting and measuring of the body measuremens. All  chickens  were given freely the  same  food  and waters. The observed parameters were body  weight, backbone  length, chest circumference, shank circumference and wing span.  Data   was analised using the correlation analysis.  Research results  obtained  the koefisien of correlation between  chest circumference, backbone length,  shank length  and wing span  with body weight were 0.62; 0.32; 031 and 0.20.  Correlations between body weight  and  body measurements  of chicken crossbreds   with genotype composision ½ broiler  ¼ Kate ¼ Sabu   were positip.  

The use of Body Surface Index as a Better Clinical Health indicators Compare to Body Mass Index and Body Surface Area for Clinical Application

2018 ◽  
pp. 131-136
Author(s):  
Shirazu I. ◽  
Theophilus. A. Sackey ◽  
Elvis K. Tiburu ◽  
Mensah Y. B. ◽  
Forson A.
Keyword(s):  
Surface Area ◽  
Body Surface Area ◽  
Clinical Application ◽  
Body Surface ◽  
Body Height ◽  
Health Indicators ◽  
The Body ◽  
Body Parameters ◽  
The Relationship ◽  
Individual Body

The relationship between body height and body weight has been described by using various terms. Notable among them is the body mass index, body surface area, body shape index and body surface index. In clinical setting the first descriptive parameter is the BMI scale, which provides information about whether an individual body weight is proportionate to the body height. Since the development of BMI, two other body parameters have been developed in an attempt to determine the relationship between body height and weight. These are the body surface area (BSA) and body surface index (BSI). Generally, these body parameters are described as clinical health indicators that described how healthy an individual body response to the other internal organs. The aim of the study is to discuss the use of BSI as a better clinical health indicator for preclinical assessment of body-organ/tissue relationship. Hence organ health condition as against other body composition. In addition the study is `also to determine the best body parameter the best predict other parameters for clinical application. The model parameters are presented as; modeled height and weight; modelled BSI and BSA, BSI and BMI and modeled BSA and BMI. The models are presented as clinical application software for comfortable working process and designed as GUI and CAD for use in clinical application.

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