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Growth Curves Fitting for Body Weight and Backfat Thickness of Swine by Sex
최태정,서강석,최재관,김시동,조광현,최호성,Choi, Te-Jeong,Seo, Kang-Seok,Choi, Je-Gwan,Kim, Si-Dong,Cho, Kwang-Hyun,Choe, Ho-Sung Korean Society for Food Science of Animal Resource 2008 한국축산식품학회지 Vol.28 No.2
The purpose of this study was to establish proper shipping weight and backfat thickness by applying the growth model to backfat thickness, measured by means of not only body weight, but also ultrasonography, and predicting the changes by age. Three breeds, i.e. Duroc, Landrace, and Yorkshie, were analyzed, and the Gompertz, logistic, and Von Bertalanffy model were used for inference with the parameter of the growth model being sex. As a result, both body weight and backfat thickness showed different growth curve parameters and characteristics at inflection points depending on model selection and sex. As for backfat thickness, in estimating the inflection point, unlike the case of body weight, the inflection ages of the boars of the Duroc breed was earlier than that of sows, whereas the inflection ages of the sows of the Landrace and Yorkshire breeds was earlier than that of boars. More than anything else, in the analysis of the changes in backfat thickness according to body weight, as the body weight reached 145kg, the backfat thickness showed much variation as great as 1.7-3.2 cm in each breed and sex. In addition, unlike the other breeds, the boars of the Landrace breed showed an exponential type of relationship between body weight and backfat thickness. As they grow to become 100 kg or heavier, abrupt change in back fat thickness was confirmed. If the growth of body weight and backfat thickness is understood and the genetic relationship is taken advantage of like this, it would be possible to set desired body weight and backfat thickness, and thus help effectively set the shipping time. If not only the phenotype, but also genetic parameters about growth characteristics are estimated and analyzed additionally, more effective data can be generated.
유전 및 육종 : 한우 도체형질의 유전능력평가를 위한 통계모형 탐색
구양모 ( Yang Mo Koo ),김시동 ( Si Dong Kim ),김정일 ( Jung Il Kim ),송치은 ( Chi Eun Song ),이기환 ( Ki Hwam Lee ),정용호 ( Yeoung Ho Jeoung ),이재윤 ( Jae Youn Lee ),장현기 ( Hyun Gi Jang ),박병호 ( Byoung Ho Park ),최태정 ( Te 한국동물자원과학회(구 한국축산학회) 2011 한국축산학회지 Vol.53 No.4
2006년부터 2009년까지 축산물품질평가원에서 등급 판정된 도체성적이 있는 개체와 한국종축개량협회에 등록이 확인된 231,382두의 자료를 이용하여 각 도체형질의 자료구조 분석 등을 살펴보고, 각 요인별로 도체형질에 어떠한 영향을 주는 지에 대한 환경효과 등을 분석하고, 변수선택법 등을 이용하여 향후 유전능력평가에서 사용 가능한 통계모형 찾아내고자 실시하였다. 한우 암, 수, 거세를 포함한 전체집단에서 출하체중, 도체율, 등지방두께, 근내지방도에서 정규분포를 보이고 있었고, 다른 형질은 정규분포에 근접함을 확인할 수 있었다. 각 요인에 대한 분산분석에서는 한우 도체형질에 대하여 성별, 출생년도-계절, 도축년도-계절, 출생지역, 도축일령의 모두 고도의 유의성(p<0.01)이 인정되었다. 변수선택법을 이용한 모형적합도 검정에서는 출하체중, 도체중, 도체율, 배최장근단면적은 다섯 가지 환경효과를 선택하는 것이 최적이었고, 등지방두께와 근내지방도는 네 가지 환경효과를 고려하는 것이 최적이었지만, 다형질 분석으로 한 번에 분석을 하기 위해서는 다섯 가지 환경효과를 함께 고려하는 것이 적합하다고 사료된다. This study was conducted to study the environment effects on live weight, carcass weight, dressing percentage, eye muscle area, backfat thickness, and marbling score, which are the carcass traits of Hanwoo, based on the estimates and all the possible regression for the selection of variable and significance test for 231,382 heads that underwent the carcass measurements. The average and standard deviation for the live weight, carcass weight, dressing percentage, eye muscle area, backfat thickness, and marbling score were 654.79±91.61kg, 362.30±67.15kg, 59.52±0.03%, 81.79±12.21cm², 11.39±5.40mm, 4.38±2.29, respectively. The live weight, carcass weight, dressing percentage, eye muscle area, backfat thickness, and marbling score for cow were 532.79±78.38kg, 313.40±44.90kg, 56.50±0.03%, 75.24±10.69cm², 11.82±5.10mm, 4.30±2.06, respectively, while for bull were 619.74±93.27kg, 376.89±48.62kg, 58.61±0.02%, 85.61±10.46cm², 5.64±2.71mm, 1.41±0.83, respectively, and for steer were 681.78±70.72kg, 415.23±49.43kg, 60.19±0.02%, 88.29±10.27cm², 12.71±5.23mm, 5.42±1.99, respectively. In the environmental variables selection based on the variables selection method, the examination by carcass traits suggested that the most appropriate model could be determined when five variables were selected for the live weight, carcass weight, dressing percentage, eye muscle area, and four variables for backfat thickness, and marbling score. When they were considered at a time altogether based on multiple traits, it was deemed to be desirable to insert all five variables into the variables for analysis. In addition, high significance was found by carcass traits.