Estimation of carcass weight of Hanwoo (Korean native cattle) as a function of body measurements using statistical models and a neural network

이대현,Lee Seung-Hyun,Cho Byoung-Kwan,Wakholi Collins,Seo Youngwook,Cho Soohyun,강태환,Lee Wang-Hee 아세아·태평양축산학회 2020 Animal Bioscience Vol.33 No.10

Objective: The objective of this study was to develop a model for estimating the carcass weight of Hanwoo cattle as a function of body measurements using three different modeling approaches: i) multiple regression analysis, ii) partial least square regression analysis, and iii) a neural network. Methods: Data from a total of 134 Hanwoo cattle were obtained from the National Institute of Animal Science in South Korea. Among the 372 variables in the raw data, 20 variables related to carcass weight and body measurements were extracted to use in multiple regression, partial least square regression, and an artificial neural network to estimate the cold carcass weight of Hanwoo cattle by any of seven body measurements significantly related to carcass weight or by all 19 body measurement variables. For developing and training the model, 100 data points were used, whereas the 34 remaining data points were used to test the model estimation. Results: The R2 values from testing the developed models by multiple regression, partial least square regression, and an artificial neural network with seven significant variables were 0.91, 0.91, and 0.92, respectively, whereas all the methods exhibited similar R2 values of approximately 0.93 with all 19 body measurement variables. In addition, relative errors were within 4%, suggesting that the developed model was reliable in estimating Hanwoo cattle carcass weight. The neural network exhibited the highest accuracy. Conclusion: The developed model was applicable for estimating Hanwoo cattle carcass weight using body measurements. Because the procedure and required variables could differ according to the type of model, it was necessary to select the best model suitable for the system with which to calculate the model.

Genetic (Co)variance Components for Body Weight and Body Measurements in Makooei Sheep

Abbasi, Mokhtar-Ali,Ghafouri-Kesbi, Farhad Asian Australasian Association of Animal Productio 2011 Animal Bioscience Vol.24 No.6

The aim of this paper was to estimate genetic parameters for body weight and five body measurements for an experimental population of Iranian Makooei sheep maintained at the Makooei Sheep Breeding Station at Makoo, Iran. To do this, yearling live weight (YW), and five body measurements, i.e., body length (BL), heart girth (HG), height at withers (HW), height at back (HB) and scrotal circumference (SC), were analyzed in a multi-trait animal model using the DXMUX program of DFREML software package. Heritability estimates were $0.22{\pm}0.08$, $0.11{\pm}0.06$, $0.21{\pm}0.07$, $0.17{\pm}0.06$, $0.17{\pm}0.06$ and $0.32{\pm}0.10$ for YW, BL, HG, HW, HB and SC, respectively. These estimates indicate that selection in Makooei sheep would generate moderate genetic progress in body weight and body measurements. Scrotal circumference, as an indicator of reproductive potential, exhibited the highest heritability. This trait, therefore, could successfully be used to increase productivity of males and, indirectly, female fertility. Genetic correlations between traits studied were all positive and ranged from 0.15 (YW/HB) to 0.99 (HW/HB). Phenotypic correlations were also positive and ranged from moderate (0.32, HW/SC) to high (0.94, HW/HB). Positive genetic and phenotypic correlations indicate that improvement in body measurements both at the genetic and phenotypic levels is expected through selection on body weight and vice versa.

Differential Effects of Obesity on Obstructive Sleep Apnea Syndrome according to Age

이유진,이유진,정도언 대한신경정신의학회 2017 PSYCHIATRY INVESTIGATION Vol.14 No.5

Objective: To evaluate the effect of obesity on obstructive sleep apnea syndrome (OSAS) by age in relation to anthropometric measurements. Methods: The medical records of 1,110 participants diagnosed with OSAS were analyzed according to age. All participants underwent nocturnal polysomnography and had their body mass index, waist circumference, neck circumference (NC), and waist-to-hip ratio measured. Results: According to the multiple linear regression analysis model for the natural logarithm of the apnea-hypopnea index treating all four anthropometric measurements and gender as covariates, the final stepwise model accounted for an increasing percentage of the variability in the severity of OSAS as a function of age: 7.0, 9.1, 14.5, and 25.6% for those aged <30, 30–39, 40–49, and 50–59 yrs, respectively. It accounted for a decreased percentage among those 60–69 (20.3%) and 70 yrs or older (3.9%). The correlation between NC and the severity of OSAS linearly increased as a function of age for those aged 30–59 yrs, peaked among those in their 60s, and dramatically decreased thereafter. Conclusion: Middle-aged patients with OSAS were more likely to be obese, as measured by anthropometric measurements, than were younger or older OSAS patients. In particular, the predictive value of NC was significantly lower for younger and older OSAS patients.

한우의 체중과 체척치에 대한 유전모수의 추정

한광진 한국동물자원과학회 2002 한국축산학회지 Vol.44 No.2

본 연구는 한우개량에 필요한 기초자료를 얻기 위하여 1979년부터 1995년 사이에 전국 한우개량단지에서 조사한 체중과 10개 부위의 체적치에 대한 자료를 가지고 유전모수 추정에 이용하였으며 얻어진 결과를 요약하면 다음과 같다. 1) 유전력의 추정치는 생시, 이유시, 12개월령 및 27개월령 체중에서 각각 0.208±0.038, 0.457±0.073, 0.476±0.082 및 0.227±0.040으로 추정되었으며 12개월령 및 27개월령의 체고, 체장 및 흉위에서 각각 0.326, 0.486, 0.462 및 0.242, 0.110, 0.170으로 추정되었다. 2) 12개월령 체중과 체적치들간의 유전상관과 표현형상관은 모두 정의 값으로 추정되었으며 그 범위는 0.223부터 0.999까지 이었다. 27개월령 체중과 체적치들간의 유전상관과 표현형상관도 모두 정의 값으로 추정되었으며 그 범위는 0.290부터 0.083까지 이었다. This study was conducted to estimate heritabilities and genetic and phenotypic correlations among body weight and 10 different body measurements on the basis of the data from Korean cows at Korean Cattle Improvement Areas from 1979 to 1995. Results obtained are as follows, 1. Heritabilities of body weight at birth, weaning, 12 months and 27 months of age estimated were 0.208±0.038, 0.457±0.073, 0.476±0.082 and 0.227±0.040, respectively. Heritabilities of body measurements at 12 and 27 months of age estimated were 0.326 and 0.242 for withers height, 0.486 and 0.110 for body length and 0.462 and 0.170 for chest girth 2. Genetic and phenotypic correlations among body weight and ten body measurements at 12 months of age were positive ranging from 0.223 to 0.999. Genetic and phenotypic correlations among body weight and ten body measurements at 27 months of age were positive ranging from 0.290 to 0.883.

Body Weight and Body Image: A Risk Factor Analysis in Korea

Kim, Sang-Wook The Korean Association for Survey Research 2011 조사연구 Vol.12 No.3

The relationship between body weight and body image, an objective and subjective measure of body shape, respectively, has long been a recurrent concern in the area of medical sociology and health-related studies. This concern stems from the argument and findings in the literature indicating that the two are not necessarily likely to be strongly correlated due mostly to the fact that one's own idea or conception about his/her body shape could be pretty different from one's actual shape. This study tries to empirically address the two issues based on the analysis of a national sample survey data in Korea: to what extent body weight and body image are correlated with or deviated from each other, on the one hand, and what factors help to account for the relationship between the two, on the other. The latest(2010) national sample data of KGSS(Korean General Social Survey) is used to evaluate the issues. Results of data analysis demonstrate that body weight and image have a moderate amount of correlation, and that the correlation tends to vary to a large extent depending on a few major socio-demographic and socio-economic characteristics. Most important, the risk factor analysis attempted in this study could identify several salient risk factors, which include gender, age, chronic diseases, smoking, physical exercises, and medical checkup. To be precise, those who may be best characterized as particularly risky to weight gains are females, who are in their 20's, who have chronic diseases, non-smokers, who exercise regularly, and who conduct medical checkups on a regular basis. To extrapolate, the findings suggest that the most typically risky kinds of individuals in Korea are "young women who care very much for their health." The findings are interpreted and discussed with suggesting a recommendation for further studies.

Body Weight and Body Image: A Risk Factor Analysis in Korea

김상욱 한국조사연구학회 2011 조사연구 Vol.12 No.3

The relationship between body weight and body image, an objective and subjective measure of body shape, respectively, has long been a recurrent concern in the area of medical sociology and health-related studies. This concern stems from the argument and findings in the literature indicating that the two are not necessarily likely to be strongly correlated due mostly to the fact that one’s own idea or conception about his/her body shape could be pretty different from one’s actual shape. This study tries to empirically address the two issues based on the analysis of a national sample survey data in Korea: to what extent body weight and body image are correlated with or deviated from each other, on the one hand, and what factors help to account for the relationship between the two, on the other. The latest(2010) national sample data of KGSS(Korean General Social Survey) is used to evaluate the issues. Results of data analysis demonstrate that body weight and image have a moderate amount of correlation, and that the correlation tends to vary to a large extent depending on a few major socio-demographic and socio-economic characteristics. Most important, the risk factor analysis attempted in this study could identify several salient risk factors, which include gender, age, chronic diseases, smoking, physical exercises, and medical checkup. To be precise, those who may be best characterized as particularly risky to weight gains are females, who are in their 20’s, who have chronic diseases, non-smokers, who exercise regularly, and who conduct medical checkups on a regular basis. To extrapolate, the findings suggest that the most typically risky kinds of individuals in Korea are “young women who care very much for their health.” The findings are interpreted and discussed with suggesting a recommendation for further studies.

한우의 12개월령 체척형질을 이용한 체중 예측

이도현,노승희,박미나,이승수,이수현,아람마부,이영창,당창권,장혁기,이재구,최태정 한국동물유전육종학회 2021 한국동물유전육종학회지 Vol.5 No.4

본 연구는 한우 검정우의 체척을 이용하여 체중을 예측하는 연구로 개체의 길이성장을 대표하는 정보를 이용하여 무게 예측에대한 가능성을 알아보고자 하였다. 분석에 이용된 자료는 농협경제지주 한우개량사업소 수소, 거세우 체중, 체척을 이용하였고, 체중 예측을 위한 다중회귀에는 각각의 일령값과 체척형질이 독립변수로 활용되었다. 원자료 중 최종적으로 활용된 개체수는 수소 11,414두, 거세우 6,232두이며 검정년도가 2000~2020년에 해당되는 수소, 1998~2020년의 거세우 개체들이 분석에 이용되었다. 분석에 사용된 체척형질은 체고(wither height, WH), 십자부고(hip height, HH), 체장(body length, BL), 흉심(chest depth, CD), 흉폭(chest width, CW), 고장(rump length, RL), 요각(rump width, RW), 곤폭(pelvic width, PW), 좌골폭(hipbone width, HW), 흉위(chest girth, CG)의 측정 자료이다. 다중회귀분석을 이용한 분석결과, 수컷의 경우 조정된 모형적합도(혹은 결정계수)는 0.7571이었고, 거세의 경우 조정된 모형적합도(혹은 결정계수)은 0.8136이었다. 이 결과는 최근 스마트팜 등 개체별 이미지 정보를 이용한 체중 예측기술 개발을 위한 모델링 설정 시 기초자료로 활용할 수 있을 것이다. This Research is a study to predict weight using the scale of Hanwoo test cattle, and it was intended to find out the possibility of weight prediction using information representing the length growth of individuals. The data used for the analysis were bull, steer weight and body measurement at Nonghyup Hanwoo Improvement center, and for multiple regression for weight prediction, each age value and body measurement trait were used as independent variables. Among the original data, the final number of bulls used was 11,414, which has a measurement year of 2000~2020, were used for analysis. and final number of steers was 6,232, which has a measurement year of 1998~2020, were used for analysis. The body measurement traits used in the analysis are wither height (WH), hip height (HH), body length (BL), chest depth (CD), chest width (CW), rump length (RL), rump width (RW), pelvic width (PW), hipbone width (HW), chest girth (CG). As a result of using multiple regression analysis, the adjusted R squared value was 0.7571 for bulls and adjusted R squared value was for steer was 0.8136. This result can be used as basic data when setting up modeling for the development of weight prediction technology using individual image information such as smart farms.

Body Weight and Body Image: A Risk Factor Analysis in Korea

Sang Wook Kim 한국조사연구학회 2011 조사연구 Vol.12 No.3

한우 거세우 도체중 및 체형형질의 유전모수 추정에 관한 연구

구양모 ( Yang Mo Koo ),김정일 ( Jung Il Kim ),송치은 ( Chi Eun Song ),신재영 ( Jae Young Shin ),이재윤 ( Jae Youn Lee ),이종헌 ( Jong Heon Lee ),조병대 ( Byoung Dai Cho ),김병우 ( Byeong Woo Kim ),이정규 ( Jung Gyu Lee ) 한국동물자원과학회 2008 한국축산학회지 Vol.50 No.2

11. 한우 육성우의 체중 측정치에 영향을 미치는 요인 분석

조현진,전서영,이민경,강계원,강하민,서성원 한국초지조사료학회 2019 한국초지조사료학회 학술대회논문집 Vol.2019 No.06