요크셔 종빈돈의 검정성적에 영향하는 환경요인 추정
Estimation of Environmental Effects for Performance Test in Purebred Yorkshire gilts
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초록
본 연구에서는 2000 ~ 2010년까지 11년간 경남 소재 K 종돈장 Yorkshire 종빈돈 9,086두에 대한 자료를 근거로 하여 돼지의 주요 경제 형질인 등지방 두께, 등심단면적, 정육율, 일당증체량, 및 90 kg 도달일령에 영향을 미치는 환경효과를 추정하기 위하여 Harvey et al. (1979)의 최소제곱 평균법으로 SAS @9.2 Package/PC를 이용하여 분석하였으며(SAS Institute, 2006), 상이한 검정개시 체중과 검정종료 체중을 보정하는 방법으로 검정종료 일령을 공변이로 포함하여 분석하였다. 본 연구의 결과를 요약하면 다음과 같다. 조사된 돼지의 주요 경제형질의 평균치와 표준 편차는 90kg 도달일령의 경우 147.537 ± 12.401 일, 일당증체량의 경우 614.614 ± 56.900 g, 보정 등지방 두께가 15.771 ± 3.071 mm, 등심단면적의 경우 28.644 ± 3.634 cm2, 정육율의 경우 55.363 ± 3.901%로 나타났다. 각 요인에 대한 유의성 검정 결과를 보면 조사된 모든 형질에 대해 출생 계절과 검정 계절의 효과에서 고도의 유의성(p<0.01)을 나타내었다. 표현형 상관에서 90 kg 도달일령과 일당증체량은 강한 부의 상관을 나타내었다. 90kg 도달일령과 등지방 두께는 정의 상관을, 일당증체량과 등지방 두께는 부의 상관을 나타내었다. 등지방두께와 등심단면적은 -0.294의 부의 상관을 등지방두께와 정육율은 -0.723의 부의 상관을 나타내었다. 등심단면적과 정육율은 0.586의 정의 상관을 나타내었다. 본 연구에서 공변이 분석으로 포함한 종료체중의 효과에 대해 추정된 회귀계수는 검정종료일령에 대해 검정 종료 일령이 1일씩 증가함에 따라 등지방두께, 등심단면적, 정육율, 일당증체량, 90 kg 도달일령은 각각 -0.04 mm, -0.02 ㎠, 0.03%, -1.26 g, 0.61 일씩 변화하였으며, 특히 일당증체량과 90 kg 도달일령에 많은 영향을 미치는 것으로 사료된다. 이상의 연구결과를 통해 농장 검정돈의 표현형적 특성을 파악할 수 있었고, Yorkshire 종빈돈의 능력을 평가할 때 유전적 능력과 환경요인에 의한 부분을 고려하여야 할 것으로 사료된다. 또한 능력검정을 통한 우수한 종빈돈의 선발과 개량이 곧 현 국내의 축산업의 발전을 위한 노력의 기반이 될 것이다.
Abstract
This study was carry out to study on the on-farm performance test and the birth records of 9,086 gilts of Yorkshire purebred obtained from 2000 to 2010 in KAYA GGP. The effects of year of birth, season of birth, year of final test, season of final test, final test day on major economic traits such as days age at 90 kg, average daily gain, backfat thickness, eye muscle area and lean percent were analyzed. Regression and phenotypic correlation coefficients analyses were made to estimate the effects of economic traits on final test day. The results obtained from this study were summarized as follows;The means for each trait were 147.537 ± 12.401 days for age at 90 kg, 614.614 ± 56.900 g for average daily gain, 15.771 ± 3.071 mm for backfat thickness, 28.644 ± 3.634 cm2 for eye muscle area, 55.363 ± 3.901% for lean percent. Season of birth affected significantly backfat thickness, eye muscle area and lean percent. The backfat thickness was thinnest in summer by showing 15.385 ± 0.085 mm. Backfat thickness was thickest 16.361 ± 0.079 mm in winter. The eye muscle area, lean percent were highest in spring by showing 29.759 ± 0.091 cm2 and 56.221 ± 0.099%, respectively. As the year of birth passed, backfat thickness and days at 90 kg showed decreased. The performances of the fall test seasons showed significantly superior to other seasons by showing in days age at 90 kg and average daily gain. summer test season showed poor to other season. backfat thickness was thickness in fall Phenotypic correlation coefficients between all traits were significantly different. Significant negative phenotypic correlation coefficients were found between days to 90 and average daily gain, positive phenotypic correlation coefficients were found between days to 90 and backfat thickness, negative phenotypic correlation coefficients were found between average daily gain and backfat thickness. negative phenotypic correlation coefficients were found between backfat thickness and eye muscle area(-0294), backfat thickness and lean percent(-0.723), positive phenotypic correlation coefficients were found between eye muscle area and lean percent(0.586)Based on the results of regression coefficients analyses for the effects of economic traits on final test day, the estimated equation coefficients were -0.04 mm in backfat thickness, 0.02 cm2 in eye muscle area, and 0.03% in lean percent , -1.26 g in average daily gain, 0.61 days in days to 90 kg. Especially average daily gain, days to 90kg were found that affected economic traits. From the results described above, a simple conclusion that the final test day effect showed significant for all traits, and it could be considerable in terms of on-farm performance test in major economic traits. However, there could be various effects influencing economic traits, further research is needed to find out whether the effect is genetic or environmental.
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