한우 도체형질 육종가 신뢰도 추정을 위한 PEV와 MTEDC 방법의 비교 연구
A Comparison of EBV Reliability Validation Methods for PEV and MTEDC of Hanwoo Carcass Traits
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
본 연구는 가축 개량을 위해서 사용되는 육종가의 신뢰도를 PEV (Prediction Error Variance) 방법과 MTEDC (Multiple-trait Effective Daughter Contribution) 방법으로 각각 추정하여, 한우 육종가 신뢰도 수준을 평가·비교하고자 하였다. 본 연구를 위해 혈통등록 거세우 중 결측치와이상치를 제거하고 도축월령이 27-32개월령 1,391,141두의 도체자료를 이용하였다. 한우 농가의 도축기록이 있는 개체의 모집단(Population)에서무작위 추출법(Random Sampling)으로 10번 반복하여 추출된 표본자료(Data 1)과 전국 한우농가의 전체 도체자료(Data 2)를 분석에 이용하였다. 한우 도체형질 추정육종가의 신뢰도는 PEV로 분석한 Data 1에서 도체중, 등심단면적, 등지방두께, 근내지방도가 각각 0.38, 0.39, 0.40, 0.42로추정되었고 MTDEC로 분석한 Data 2에서는 0.45, 0.48, 0.48, 0.52로 분석되었다. 도체중의 후대 두수별(0-5두) 신뢰도는 Data 1에서 0.30-0.64, Data 2에서 0.42-0.52로 분석되었고 등심단면적에서 Data 1과 Data 2가 각각 0.57-0.67, 0.47-0.55, 등지방두께는 Data 1과 Data 2가 각각0.31-0.67. 0.43-0.55, 근내지방도는 Data 1과 Data 2가 각각 0.43-0.60으로 분석되었다. 분석 결과 표본에 따라 다소 차이가 있었으나 암소후대 수에 따라 뚜렷한 차이가 있었으며, 신뢰도는 형매 기록 수가 늘어날수록 추정육종가의 신뢰도가 향상됨을 확인할 수 있었다. 한우 암소의후대가 대부분 0-1두 사이로 개체별 높은 신뢰도를 갖기 어려운 상황이므로 신뢰도 향상을 위해서는 형매 두수가 100두 이상 필요할 것으로판단되며 이를 위해 육종가 추정을 위한 데이터 구성에서 강력한 혈연계수 행렬을 구현할 수 있는 전국단위 혈통자료와 그에 따른 능력검정 성적이함께 분석되어야 할 것으로 사료된다.
Abstract
This study estimated the reliability of EBV (Estimated Breeding Value) used for animal improvement by PEV (Prediction Error Variance) and MTEDC (Multiple-trait Effective Daughter Contribution) methods respectively. The reliability of Hanwoo carcass traits EBV was evaluated and compared. The reliability of EBV was analyzed based on data extracted from random sampling by iterating 10 times at 1,391,141 animals. The reliability validation methods are compared by PEV and MTEDC. In Data 1 of PEV, the reliability of CW (Carcass Weight), EMA (Eye Muscle Area), BF (Backfat Thickness) and MS (Marbling Score) was estimated using PEV and the reliability of each traits was analyzed as 0.38, 0.39, 0.40 and 0.42. In Data 2 of MTEDC, the reliability was estimated using MTEDC and the reliability of each trait was analyzed as 0.45, 0.48, 0.48 and 0.52. The estimated reliability of the cows progeny animals (0-5) of CW was 0.30-0.64 in Data 1 and 0.42-0.52 in Data 2. The reliability of the EMA was 0.57-0.67 in Data 1 and 0.47-0.55 in Data 2, the reliability of BF was 0.31-0.67 in Data 1 and 0.43-0.55 in Data 2 and the reliability of MS was estimated to be 0.33-0.73 in Data 1 and 0.43-0.60 in Data 2. It is difficult to estimate a reliability of 0.5 or higher due to the low progeny of Hanwoo cows. Accordingly, it is estimated that more than 100 animals related to pedigree are needed to improve reliability. To this end, it is considered important that the number of offspring of each sire is included in the evaluation of more than 100 records in the data composition for estimated breeding value and reliability. It is suggested that the nationwide pedigree data and performance test data, which can implement robust relationship matrices in the data configuration for EBV evaluation, should be analyzed together.
참고문헌 (25)
- 조광현, "젖소 국제유전능력 평가를 위한 종모우별 다형질 Effective Daughter Contribution 추정", 한국축산학회지, 55(5), pp.399~403 (2013), 한국축산학회
- Fikse WF, "Weighting factors of sire daughter information in international genetic evaluations", J. Dairy Sci, 84, pp.1759~1767 (2001)
- Graser HU, "Applying the concept of number of effective progeny to approximate accuracies of predictions derived from multiple-trait analyses", Proc. Assoc. Adv. Anim. Breed. Genet., Dubbo, pp.547~551 (1997)
- Groeneveld E, "Generalized computing procedure for setting up and solving mixed linear models", J. Dairy Sci, 73, pp.513~531 (1990)
- Groeneveld E, "Performance of direct sparse matrix solvers in derivative free REML covariance component estimation", J. Anim. Sci, 70, pp.145~ (1992)
- Groeneveld E, "A reparameterization to improve numerical optimization in multivariate REML (co)variance component estimation", Genet. Sel. Evol, 26, pp.537~545 (1994)
- 한광진, "한우의 번식형질에 대한 환경요인의 효과", 한국축산학회지, 44(2), pp.191~200 (2002), 한국축산학회
- Harris B, "Approximate reliability of genetic evaluations under an animal model", J. Dairy Sci, 81, pp.2723~2728 (1998)
- Henderson CR, "Best linear unbiased estimation and prediction under a selection model", Biometrics, 31, pp.423~447 (1975)
- Henderson CR, "Comparison of alternative sire evaluation methods", J. Anim. Sci, 41, pp.760~770 (1975)
- Henderson CR, "Applications of linear models in animal breeding" (1984), University of Guelph
- Hickey JM, "Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance", Genet Sel. Evol, 41, pp.23~ (2009)
- Korea Institute for Animal Products Quality Evaluation, "Animal products grading statistical yearbook", 24~ (2019)
- Liu Z, "The effective daughter contribution concept applied to multiple trait models for approximating reliability of estimated breeding values", Interbull Bulletin, 27, pp.41~47 (2001)
- Liu Z, "Derivation and calculation of approximated reliabilities and daughter yield-deviations of a random regression test-day model for genetic evaluation of dairy cattle", J. Dairy Sci, 87, pp.1896~1907 (2004)
- Misztal I, "Sparse matrix inversion for restricted maximum likelihood estimation of variance components by expectation-maximization", J. Dairy Sci, 76(5), pp.1479~1483 (1993)
- Misztal I, "Approximation of prediction error variance in large-scale animal models", J. Dairy Sci, 71, pp.27~32 (1988)
- "Manual for BLUPF90family programs" (2018)[URL]
- Mrode RA, "Linear models for the prediction of animal breeding values" (2005), CAB International
- Park MN, "Factor affecting estimated breeding value of cow from pedigree and progeny records in Hanwoo", J. Animal Breeding and Genomics, 1, pp.31~39 (2017)
- Strabel T, "Approximation of reliabilities for multiple-trait model with maternal effects", J. Anim. Sci, 79, pp.833~839 (2001)
- Van Raden PM, "Derivation, calculation and use of national animal model information", J. Dairy Sci, 74, pp.2737~2746 (1991)
- Van Raden PM, "Methods to combine estimated breeding values obtained from separate source", J. Dairy Sci, 84(E.Sup-pl), pp.E47~E55 (2001)
- Van Raden PM, "Efficient methods to compute genomic predictions", J. Dairy Sci, 91, pp.4414~4423 (2008)
- Van Vleck LD, "for the animal science. Introduction to quantitative tratis", pp.230~ (1987)