WOMBAT을 이용하여 Maternal Trait Model 풀기
예제 자료
R.A. Mrode, Linear Models for the Prediction of Animal Breeding Values. 2nd. Edition
Page 123. Example 6.1
자료입력
5 2 2 1 1 35
6 2 2 1 2 20
7 6 6 1 2 25
8 5 5 1 1 40
9 6 6 2 1 42
10 2 2 2 2 22
11 7 7 2 2 35
12 7 7 3 2 34
13 2 2 3 1 20
14 6 6 3 2 40
개체, 어미, 어미, Herd, sex, 생시체중
위 자료를 data.txt로 저장
혈통입력
1 0 0
2 0 0
3 0 0
4 0 0
5 1 2
6 3 2
7 4 6
8 3 5
9 1 6
10 3 2
11 3 7
12 8 7
13 9 2
14 3 6
개체, 아비, 어미
위 자료를 pedi.txt로 저장
파라미터 파일 작성
# run option - 육종가를 구할 때
# RnSoln_xxx.dat 출력 파일 확인
#RUNOP -v --solvit
# run option - 육종가와 SEP(standard error of prediction)
# reliability(r2) = 1- SEP^2 / sigma_a^2
# RnSoln_xxx.dat 출력 파일 확인
RUNOP -v --blup
# run option - 좋은 초기값으로 분산성분을 추정할 때,
#RUNOP -v --good
# run option - 나쁜 초기값일 때 분산성분을 추정할 때,
#RUNOP -v --bad
# 요약 출력파일에 출력할 내용
COMMENT Single Trait Model(with Maternal Effects) from Mrode, 2nd Edition, Example 6.1
# Analysis Type, 단형질 분석
ANALYSIS UNI 1
# 혈통 파일 이름
# SumPedigree.out 확인
PED pedi.txt
# 자료 파일 이름
DATA data.txt
animal
gmdam 999
pedam 999
herd 3
sex 2
b_wt
END DATA
# Model of analysis
# SumModel.out 확인
MODEL
TR b_wt
FIX herd
FIX sex
RAN animal NRM
RAN gmdam NRM
RAN pedam IDE
END MODEL
# 분산 성분
VAR animal+gmdam 2
150 -40 90
VAR pedam 1
40
VAR error 1
350
# SumModel.out 확인
# SumEstimates.out 확인
# SumPedigree.out 확인
# FixSolutions.out 확인
# RnSoln_xxx.dat 확인
위 파라미터 파일을 wombat.par로 저장
실행
위 세 파일을 한 폴더에 넣고 다음과 같이 실행
결과 확인
SumModel.out
======= Version 19-05-2012 ======================================= **KM** ====
Program WOMBAT : Summary of information from Set-up step
==============================================================================
Single Trait Model(with Maternal Effects) from Mrode, 2nd Edition, Example
Analysis type : "UNI 1"
Data file : "data.txt"
Pedigree file : "pedi.txt"
Parameter file : "wombat.par"
No. of traits = 1
nrec mean sdev min. max.
1 "b_wt" 10 31.3000 8.70568 20.0000 42.0000
Fixed effects
1 "b_wt" nlev
1 "herd" 3
2 "sex" 2
Random effects nlev
1 "animal+gmdam 14 NRM
2 "pedam" 4 IDE
======== end of file ============================13-03-2014==========01:13====
SumPedigree.out
======= Version 19-05-2012 ======================================= **KM** ====
Program WOMBAT : Summary of Pedigree Information
==============================================================================
Single Trait Model(with Maternal Effects) from Mrode, 2nd Edition, Example
Analysis type : "UNI 1"
Data file : "data.txt"
Pedigree file : "pedi.txt"
Parameter file : "wombat.par"
No. of animal IDs in data file = = 11
No. of animal IDs in total = = 14
*****Pedigree Structure for random effect : 1 ****************************
Original no. of animals = 14
No. of animals after pruning = 14
... proportion (%) remaining = 100.0
No. of levels w/out records = 4
No. of levels with records = 10 100.0%
... 1 record(s) = 10 100.0%
No. of animals w/out offspring = 5 35.7%
No. of animals with offspring = 9 64.3%
... and records = 5 35.7%
No. of animals with unknown sire = 4
No. of animals with unknown dam = 4
No. of animals with both parents unknown = 4
No. of animals with records =
... and unknown sire = 0
... and unknown dam = 0
... and both parents unknown = 0
No. of sires = 5
... with progeny in the data = 5
... with records & progeny in data = 2
No. of dams = 4
... with progeny in the data = 4
... with records & progeny in data = 3
No. of animals with known/unpruned grand-parents
... with paternal grandsire = 2
... with paternal granddam = 2
... with maternal grandsire = 6
... with maternal granddam = 6
random effect no. = 1 NRM
no. of elements in NRM/GIN inverse 42
log determinant = -6.931471805599453
random effect no. = 2 IDE
no. of elements in NRM/GIN inverse 0
log determinant = 0.
======== end of file ============================13-03-2014==========01:13====
FixSolutions.out
======= Version 19-05-2012 ======================================= **KM** ======================================
Program WOMBAT : GLS solutions for fixed effects
================================================================================================================
Single Trait Model(with Maternal Effects) from Mrode, 2nd Edition, Example
Fixed effects for trait no. 1 "b_wt"
Effect Orig.code Level Solution S.Error SolSum=0 No.recs Eff.Mean
1 herd 1 1 3.23994 16.0492 -1.60674 4 30.000
1 herd 2 2 6.62640 17.8009 1.77971 3 33.000
1 herd 3 3 4.67372 18.0772 -0.172966 3 31.333
1 herd 4.84669
Effect Orig.code Level Solution S.Error SolSum=0 No.recs Eff.Mean
2 sex 1 1 0.00000 0.00000 3.42450 4 34.250 **
2 sex 2 2 -6.84900 15.2033 -3.42450 6 29.333
2 sex -3.42450
** marks effects which have been set to zero for the analysis
======== end of file ============================13-03-2014==========01:13======================================
RnSoln_animal+gmdam.dat 확인
Run N Original ID Tr Solution St.Error Ignore Inbr %
1 1 1 0.563890 12.0295 0.188 0.000
1 2 0.261565 9.30559 0.195
2 2 1 -1.24439 12.1701 0.112 0.000
2 2 -1.58316 9.18638 0.250
3 3 1 1.16494 11.7022 0.295 0.000
3 2 0.735732 9.16961 0.256
4 4 1 -0.484436 11.9673 0.213 0.000
4 2 0.585864 9.31881 0.187
5 5 1 0.629533 11.7098 0.293 0.000
5 2 -0.507471 9.15549 0.262
6 6 1 -0.858629 11.7172 0.291 0.000
6 2 0.841041 9.06603 0.295
7 7 1 -1.15597 11.8555 0.251 0.000
7 2 1.29932 9.22225 0.235
8 8 1 1.91740 11.6702 0.303 0.000
8 2 -0.157915 9.41532 0.123
9 9 1 -0.553263 11.7544 0.281 0.000
9 2 0.659541 9.39494 0.139
10 10 1 -1.05508 11.7728 0.276 0.000
10 2 -0.152954 9.38824 0.144
11 11 1 0.385358 12.4880 0.275 12.500
11 2 0.915958 9.90243 0.178
12 12 1 0.863317 12.3170 0.274 9.375
12 2 0.442008 9.87547 0.096
13 13 1 -2.97957 12.5438 0.260 12.500
13 2 0.930558E-01 10.0021 0.109
14 14 1 1.75130 12.8643 0.343 25.000
14 2 0.362213 10.3125 0.234
RnSoln_pedam.dat
Run N Original ID Tr Solution St.Error Ignore
1 2 1 -1.70083 5.88672 0.366
2 5 1 0.415397 6.17773 0.214
3 6 1 0.824915 5.90689 0.357
4 7 1 0.460519 6.08179 0.274
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