69
I F _TYPE_= CORR ;
PROC I ML
; USE LI M;
READ ALL VAR _NUM_ I NTO G; K=- G-
1
; USE GI FAR;
READ ALL VAR _NUM_ I NTO D; E=D
2
; X= KE p; CONTAI NS LACK OF CORREL. BETWEEN ANY TWO GENOTYPES
N=X[ , +] ; VAR= VAR1 : VAR12 ;
CREATE FHP FROM X[ COLNAME=VAR] ; CONTAI NS LACK OF CORRELATI ON BETWEEN ANY TWO GENOTYPES APPEND FROM X; YOU CAN PRI NT THI S DATA SET TO OBTAI N DETAI LED
I NFORMATI ON CREATE LACK FROM N[ COLNAME= LACKCORR ] ;
APPEND FROM N;
DATA
KI YYA; MERGE FI VE KEEP=VAR VARMEAN W VHET LACK MNX;
PROC PRI NT DATA=KI YYA; TI TLE1 TABLE A ;
TI TLE2 PARTI TI ON OF THE G x E I NTERACTI ON SUM OF SQUARES I N TO SUMS OF ; TI TLE3 SQUARES DUE TO HETEROGENEI TY AMONG VARI ANCES AND LACK OF CORRELATI ON ;
TI TLE4 AMONG PERFORMANCE VALUES OF I NDI VI DUAL GENOTYPES MUI R ET AL. 1992 ; VAR VAR VARMEAN W HETERO LACKCORR HET CORR;
RUN; WE HAVE MUTED THE PRI NTI NG OF THI S PART BECAUSE THE PARTI TI ONI NG OF I NDI VI DUAL
GENOTPE S WRI CKE S ECOVALENCE I NTO THAT DUE TO HETEROGENEI TY OR LACK OF CORRELATI ON I S SELDOM CORRECT. WE USED TWO FORMULAE FOR THI S PATI TI ONI NG. THE ONE PROVI DED FOR
I NDI VI DUAL GENOTYPE AND THE ONE FOR THE TOTAL. THE LACK OF CORRELATI ON COMPUTED BY ADAPTI NG THE
FORMULA FOR THE TOTAL I S NAMED LACKCORR, WHI LE THE ONE COMPUTED I N THE USUAL MANNER I S NAMED
CORR. CORRESPONDI NG HETEROGENEI TY COMPONENTS ARE NAMED HETERO AND HET, RESPECTI VELY.
I NTERESTED USERS CAN PRI NT THI S DATA SET AND SEE THE DESCREPANCY, THAT FOR SOME GENOTYPES THE LACK
OF CORRELATI ON OR THE SUM OF THE LACK OF CORRELATI ON AND HETEROGENEI TY I S MORE THAN
WRI CKE S ECOVALENCE, WHI LE FOR OTHER GENOTYPES I T I S LESS THAN THI S COMPONENT ;
PROC MEANS
DATA=KI YYA SUM NOPRI NT; VAR W HETERO LACKCORR; OUTPUT OUT=MR SUM=;
Lampiran 1 Lanjutan
PROC PRI NT
DATA=MR; TI TLE1 TABLE 9 ;
TI TLE2 TOTAL SUMS OF SQUARES DUE TO HETEROGENEI TY AMONG VARI ANCES ; TI TLE3 AND I MPERFECT CORRELATI ON ;
VAR W HETERO LACKCORR;
RUN
; s I NGULAR VALUE DECOMPOSI TI ON OF THE Gx E MATRI X FOR ORDI NATI ON
DATA
GELO; MERGE AH KEEP=ENV EM YAH KEEP=VAR VM ;
RUN
;
DATA
ONE; SET BRUCE KEEP=VXE ;
RUN
;
PROC I ML
; RESET NOPRI NT FUZZ; START J AMBO; USE ONE; READ ALL I NTO G;
X=SHAPE G, p, q ; Y=X` ; P=X Y; A=Y X; Q=EI GVAL P ; I F MI N Q
. 001
THEN DO; I =LOC Q
0. 01
; Q[ I ] = ; END;
ELSE DO; Q=Q; END; K=EI GVAL A ; I F MI N K
. 001
THEN DO; I =LOC K
0. 01
; K[ I ] = ; END;
ELSE DO; K=K; END; KEE=K` ; MEE=Q` ; R=EI GVEC P ; B=EI GVEC A ; R1= MEE
0. 25
R; B1= KEE
0. 25
B; VARPC= VI PC1 : VI PC12 ; ENVPC= EI PC1 : EI PC6 ; CREATE VARPC FROM R1[ COLNAME=VARPC] ; APPEND FROM R1;
CREATE ENPC FROM B1[ COLNAME=ENVPC] ; APPEND FROM B1; FI NI SH JAMBO;
RUN
JAMBO;
DATA
SVD; MERGE GELO VARPC ENPC;
PROC PRI NT
DATA=SVD; VAR VAR VM VI PC1- - VI PC12 ENV EM EI PC1- - EI PC6;
TI TLE1 TABLE 10 ; TI TLE2 SI NGULAR VALUE DECOMPOSI TI ON AND ORDI NATI ON I N BI PLOTS ;
TI TLE3 DATA READY FOR GRAPHI NG OF GxE BI PLOTS ;
RUN
;
70
TI TLE1 ; TI TLE2 H=
1
PLOT OF I PC1 AGAI NST BOTH VARI ETAL AND ENVI RONMENTAL MEANS ; TI TLE3 H=
1
OPEN CI RCLES ARE FOR GENOTPES CLOSED ONES FOR ENVI RONMENTS ; SYMBOL1 F= COLOR=BLACK H=
0. 8
V=CI RCLE I =NONE; SYMBOL2 F= C=BLACK H=
0. 8
V=DOT I =NONE;
PROC GPLOT
DATA=SVD; PLOT EI PC1 EM=
2
VI PC1 VM=
1
OVERLAY FRAME;
RUN
; TI TLE1 ;
TI TLE2 H=
1
PLOT OF I PC2 AGAI NST I PC1 FOR BOTH VARI TI ES AND ENVI RONMENTS ; TI TLE3 H=
1
OPEN CI RCLES ARE FOR GENOTPES CLOSED ONES FOR ENVI RONMENTS ; SYMBOL1 F= COLOR=BLACK H=
0. 8
V=CI RCLE I =NONE; SYMBOL2 F= C=BLACK H=
0. 8
V=DOT I =NONE;
PROC GPLOT
DATA=SVD; PLOT VI PC2 VI PC1=
1
EI PC2 EI PC1=
2
OVERLAY FRAME;
RUN
; PART I I I
A SAMPLE PROGRAM TO COMPUTE THE PAI R- WI SE Gx E I NTERACTI ON OF TEST CULTI VARS WI TH CHECKS PROPOSED BY LI N AND BI NNS I N 1985. DATA PRESENTED BY THE AUTHORS
WI TH 4 CHECKS AND 29 TEST CULTI VARS I S USED HERE. THE USER HAS TO MODI FY THI S ACCORDI NG TO THE NUMBER OF CHECKS I N HI S EXPERI MENT
DATA LI NES OF THE FI RST CHECK
DATA
ADI PATI 1; SET BRUCE KEEP=ENV YI ELD VM VI ;
I F _N_ LT
7
; RENAME YI ELD=YD1 VM=MEAN1 VI =I ND1;
PROC SORT
; BY ENV;
RUN
; DATA LI NES OF THE SECOND CHECK
DATA
BI OLA; SET BRUCE KEEP=ENV YI ELD VM VI ;
I F
6
LT _N_ LT
13
; RENAME YI ELD=YD2 VM=MEAN2 VI =I ND2;
Lampiran 1 Lanjutan
PROC SORT
; BY ENV;
RUN
; DATA LI NES OF THE THI RD CHECK
DATA
GADA; SET BRUCE KEEP=ENV YI ELD VM VI ; I F
12
LT _N_ LT
19
; RENAME YI ELD=YD3 VM=MEAN3 VI =I ND3;
PROC SORT
; BY ENV;
RUN
; DATA LI NES OF THE FOURTH CHECK
DATA
HOT_BEAU; SET BRUCE KEEP=ENV YI ELD VM VI ; I F
18
LT _N_ LT
25
; RENAME YI ELD=YD4 VM=MEAN4 VI =I ND4;
PROC SORT
; BY ENV;
RUN
; DATA LI NES OF THE FOURTH CHECK
DATA
I HPERI AL; SET BRUCE KEEP=ENV YI ELD VM VI ; I F
24
LT _N_ LT
31
; RENAME YI ELD=YD5VM=MEAN5 VI =I ND5;
PROC SORT
; BY ENV;
RUN
; DATA LI NES OF THE REMAI NI NG GENOTPES TEST CULTI VARS
DATA
UU; SET BRUCE KEEP=VAR ENV YI ELD VM VI ;
I F _N_ GT
30
;
PROC SORT
; BY ENV;
RUN
;
DATA
ZZ; MERGE UU ADI PATI 1 BI OLA GADA HOT_BEAU I HPERI AL;
BY ENV; CHK1= I ND1- VI
2
; CHK2= I ND2- VI
2
; CHK3= I ND3- VI
2
; CHK4= I ND4- VI
2
; CHK5= I ND5- VI
2
;
PROC SORT
; BY VAR;
RUN
;
PROC MEANS
DATA=ZZ SUM NOPRI NT; VAR YI ELD YD1 YD2 YD3 YD4 YD5 CHK1 CHK2 CHK3 CHK4 CHK5; BY VAR;
OUTPUT OUT=COMP SUM=YI ELD YD1 YD2 YD3 YD4 YD5 GE1 GE2 GE3 GE4 GE5;
RUN
;
DATA
QQ; SET COMP DROP=_TYPE_ _FREQ_ ;
MEK=
1
; GXECH1=GE1
2
q-
1
; GXECH2=GE2
2
q-
1
; GXECH3=GE3
2
q-
1
; GXECH4=GE4
2
q-
1
; GXECH5=GE5
2
q-
1
; YLD=YI ELD q; MEAN1=YD1 q; MEAN2=YD2 q; MEAN3=YD3 q; MEAN4=YD4 q; MEAN5=YD5 q;
DI FF1=YLD- MEAN1; DI FF2=YLD- MEAN2; DI FF3=YLD- MEAN3; DI FF4=YLD- MEAN4; DI FF5=YLD- MEAN5;
RUN
;
DATA
CHGXE; MERGE QQ TEST KEEP=MEK MSBALANC ; BY MEK; COMP1=GXECH1 MSBALANC; COMP2=GXECH2 MSBALANC; COMP3=GXECH3 MSBALANC; COMP4=GXECH4 MSBALAN
C; COMP5=GXECH5 MSBALANC; PROB1=
1
- PROBF COMP1, q-
1
, p-
1
q-
2
; PROB2=
1
- PROBF COMP2, q-
1
, p-
1
q-
2
; PROB3=
1
- PROBF COMP3, q-
1
, p-
1
q-
2
; PROB4=
1
- PROBF COMP4, q-
1
, p-
1
q-
2
; PROB5=
1
- PROBF COMP5, q-
1
, p-
1
q-
2
; T=ABS TI NV
0. 025
