PERBANDINGAN UKURAN TUBUH TERNAK ITIK JANTAN KERINCI DAN ITIK JANTAN TEGAL KERINCI

  LAMPIRAN Lampiran 1. Hasil uji t hitung, Diagram, Nilai Estimate for Difference, T-Value, P-Value, dan DF variabel

• – variabel ukuran linier permukaan tubuh, Itik Jantan Kerinci dan Itik Jantan Tegal Kerinci.

  

PERBANDINGAN UKURAN TUBUH TERNAK ITIK JANTAN KERINCI

DAN ITIK JANTAN TEGAL KERINCI

1. B O B O T B ADA N

  Two-sample T for BB JK vs BB JTK N Mean StDev SE Mean BB JK 15 1.4920 0.0943 0.024 BB JTK 85 1.3697 0.0780 0.0085 Difference = mu (BB JK) - mu (BB JTK) Estimate for difference: 0.1223 95% CI for difference: (0.0679, 0.1767) T-Test of difference = 0 (vs not =): T-Value = 4.75 P- Value = 0.000 DF = 17 2.

  P ANJ ANG P ARUH

  Two-sample T for PP JK vs PP JTK N Mean StDev SE Mean PP JK 15 6.048 0.362 0.093 PP JTK 85 5.716 0.223 0.024 Difference = mu (PP JK) - mu (PP JTK) Estimate for difference: 0.3320 95% CI for difference: (0.1264, 0.5376) T-Test of difference = 0 (vs not =): T-Value = 3.44 P- Value = 0.004 DF = 15 3.

  L E B A R PA R U H

  Two-sample T for LP JK vs LP JTK N Mean StDev SE Mean LP JK 15 2.819 0.156 0.040 LP JTK 85 2.7676 0.0528 0.0057 Difference = mu (LP JK) - mu (LP JTK) Estimate for difference: 0.0517 95% CI for difference: (0.0064, 0.0971) T-Test of difference = 0 (vs not =): T-Value = 2.26 P- Value = 0.026 DF = 98 ^{BB JTK BB JK 1.6 1.5 1.4 1.3 1.2 1.1} D

  a ta Boxplot of BB JK, BB JTK

  ^{6.4 6.2 6.0 5.8 5.6 5.4 5.2} D a ta Boxplot of PP JK, PP JTK

PP JTK PP JK

  ^{3.0 2.9 2.8 2.7 2.6} D a ta Boxplot of LP JK, LP JTK

LP JTK LP JK

  Two-sample T for PK JK vs PK JTK N Mean StDev SE Mean PK JK 15 6.615 0.115 0.030 PK JTK 85 6.529 0.151 0.016 Difference = mu (PK JK) - mu (PK JTK) Estimate for difference: 0.0862 95% CI for difference: (0.0161, 0.1562) T-Test of difference = 0 (vs not =): T-Value = 2.54 P- Value = 0.018 DF = 23 5.

  L

  ING K AR K E P AL A

  Two-sample T for LK JK vs LK JTK N Mean StDev SE Mean LK JK 15 14.467 0.377 0.097 LK JTK 85 14.024 0.346 0.038 Difference = mu (LK JK) - mu (LK JTK) Estimate for difference: 0.443 95% CI for difference: (0.224, 0.662) T-Test of difference = 0 (vs not =): T-Value = 4.24 P- Value = 0.000 DF = 18 6.

  T

  ING G

  I K E P AL A

  Two-sample T for TK JK vs TK JTK N Mean StDev SE Mean TK JK 15 4.4127 0.0435 0.011 TK JTK 85 4.309 0.142 0.015 Difference = mu (TK JK) - mu (TK JTK) Estimate for difference: 0.1036 95% CI for difference: (0.0656, 0.1416) T-Test of difference = 0 (vs not =): T-Value = 5.43 P- Value = 0.000 DF = 73 ^{PK JTK PK JK 6.8 6.7 6.6 6.5 6.4 6.3 6.2} D

  a ta Boxplot of PK JK, PK JTK

4. P ANJ ANG K E P AL A

  ^{15.00 14.75 14.50 14.25 14.00 13.75 13.50} D a ta Boxplot of LK JK, LK JTK

LK JTK LK JK

  ^{4.6 4.5 4.4 4.3 4.2 4.1 4.0} D a ta Boxplot of TK JK, TK JTK

TK JTK TK JK

  Two-sample T for PL JK vs PL JTK N Mean StDev SE Mean PL JK 15 10.135 0.182 0.047 PL JTK 85 10.337 0.484 0.052 Difference = mu (PL JK) - mu (PL JTK) Estimate for difference: - 0.2017 95% CI for difference: (- 0.3429, -0.0605) T-Test of difference = 0 (vs not =): T-Value = -2.86 P- Value = 0.006 DF = 56 8.

  L

  ING K AR L E H E R

  Two-sample T for LL JK vs LL JTK N Mean StDev SE Mean LL JK 15 8.293 0.202 0.052 LL JTK 85 8.166 0.187 0.020 Difference = mu (LL JK) - mu (LL JTK) Estimate for difference: 0.1275 95% CI for difference: (0.0101, 0.2448) T-Test of difference = 0 (vs not =): T-Value = 2.28 P- Value = 0.035 DF = 18 9.

  P ANJ ANG SAYAP

  Two-sample T for PSa JK vs PSa JTK N Mean StDev SE Mean PSa JK 15 26.47 1.25

  0.32 PSa JTK 85 25.19 1.04

  0.11 Difference = mu (PSa JK) - mu (PSa JTK) Estimate for difference: 1.278 95% CI for difference: (0.559, 1.998) T-Test of difference = 0 (vs not =): T-Value = 3.75 P- Value = 0.002 DF = 17 ^{PL JTK PL JK 11.2 11.0 10.8 10.6 10.4 10.2 10.0 9.8 9.6} D

  a ta Boxplot of PL JK, PL JTK

7. P ANJ ANG L E H E R

  ^{8.5 8.4 8.3 8.2 8.1 8.0} D a ta Boxplot of LL JK, LL JTK

LL JTK LL JK

  PSa JTK PSa JK ^{29 28 27 26 25 24 23} D a ta Boxplot of PSa JK, PSa JTK

  Two-sample T for PTu JK vs PTu JTK

  Boxplot of PTu JK, PTu JTK ₆₀ N Mean StDev SE

  Mean PTu JK 15 56.67 1.54

  UH ₅₈

  0.40 UB PTu JTK 85 55.56 1.52

   T ₅₆

  0.23

  ta

  Difference = mu (PTu JK) - mu

  a D ANG ₅₄

  (PTu JTK) Estimate for difference:

  ANJ ₅₂ P

  1.102 95% CI for difference: 10. _{50 PTu JK PTu JTK T-Test of difference = 0 (vs}

  (0.153, 2.051) not =): T-Value = 2.40 P- Value = 0.025 DF = 24 Two-sample T for Ttu JK vs Ttu JTK

  Boxplot of Ttu JK, Ttu JTK

  N Mean StDev SE _55.0 Mean Ttu JK 15 50.87 2.29

  UH _52.5

  0.59 Ttu JTK 85 49.32 2.14

  UB T

  0.23 I

  Difference = mu (Ttu JK) - mu

  a ^50.0 D

  ta G

  (Ttu JTK)

  ING

  Estimate for difference:

  T _47.5

  1.549 95% CI for difference: 11. _45.0 (0.212, 2.886) _{Ttu JK Ttu JTK} T-Test of difference = 0 (vs not =): T-Value = 2.43 P-

  Value = 0.026 DF = 18 Two-sample T for PD JK vs PD JTK

  Boxplot of PD JK, PD JTK _13.0 N Mean StDev SE

  Mean _12.8 PD JK 15 12.740 1.52 0.056 PD JTK 85 12.582 1.416

   DADA _12.6

  0.045

  ta a

  Difference = mu (PD JK) - mu

  ANG D _12.4

  (PD JTK) Estimate for difference:

  ANJ _12.2 P

  0.1576 95% CI for difference: 12. _{12.0 PD JK PD JTK}

  (0.0118, 0.3035) T-Test of difference = 0 (vs not =): T-Value = 2.19 P- Value = 0.035 DF = 35

  Two-sample T for LD JK vs LD JTK N Mean StDev SE Mean LD JK 15 7.496 0.211 0.055 LD JTK 85 7.373 0.179 0.019 Difference = mu (LD JK) - mu (LD JTK) Estimate for difference: 0.1228 95% CI for difference: (0.0007, 0.2449) T-Test of difference = 0 (vs not =): T-Value = 2.12 P- Value = 0.049 DF = 17 14.

  P ANJ ANG SH ANK

  Two-sample T for PS JK vs PS JTK N Mean StDev SE Mean PS JK 15 4.655 0.101 0.026 PS JTK 85 4.402 0.205 0.022 Difference = mu (PS JK) - mu (PS JTK) Estimate for difference: 0.2531 95% CI for difference: (0.1839, 0.3224) T-Test of difference = 0 (vs not =): T-Value = 7.40 P- Value = 0.000 DF = 38 15.

  L

  ING K AR SH A NK

  Two-sample T for LS JK vs LS JTK N Mean StDev SE Mean LS JK 15 4.353 0.196 0.051 LS JTK 85 4.189 0.195 0.021 Difference = mu (LS JK) - mu (LS JTK) Estimate for difference: 0.1639 95% CI for difference: (0.0491, 0.2787) T-Test of difference = 0 (vs not =): T-Value = 2.99 P- Value = 0.008 DF = 19 ^{LD JTK LD JK 7.9 7.8 7.7 7.6 7.5 7.4 7.3 7.2 7.1 7.0} D

  a ta Boxplot of LD JK, LD JTK

13. L E B AR DA DA

  ^{4.9 4.8 4.7 4.6 4.5 4.4 4.3 4.2 4.1} D a ta Boxplot of PS JK, PS JTK

PS JTK PS JK

  ^{4.5 4.4 4.3 4.2 4.1 4.0} D a ta Boxplot of LS JK, LS JTK

LS JTK LS JK

  I B

  IA

  Two-sample T for PTi JK vs PTi JTK N Mean StDev SE Mean PTi JK 15 8.649 0.135 0.035 PTi JTK 85 8.564 0.152 0.016 Difference = mu (PTi JK) - mu (PTi JTK) Estimate for difference: 0.0843 95% CI for difference: (0.0041, 0.1646) T-Test of difference = 0 (vs not =): T-Value = 2.19 P- Value = 0.040 DF = 20 17.

16. P ANJ ANG T

  L

  ING K AR T

  I B

  IA

  Two-sample T for LTi JK vs LTi JTK N Mean StDev SE Mean LTi JK 15 6.4467 0.0915 0.024 LTi JTK 85 6.393 0.264 0.029 Difference = mu (LTi JK) - mu (LTi JTK) Estimate for difference: 0.0561 95% CI for difference: (0.0019, 0.1103) T-Test of difference = 0 (vs not =): T-Value = 2.16 P- Value = 0.043 DF = 20 18.

  PA NJ ANG J ARI K E T

  IG A

  Two-sample T for PJK JK vs PJK JTK N Mean StDev SE Mean PJK JK 15 7.062 0.141 0.036 PJK JTK 85 6.932 0.199 0.022 Difference = mu (PJK JK) - mu (PJK JTK) Estimate for difference: 0.1304 95% CI for difference: (0.0431, 0.2176) T-Test of difference = 0 (vs not =): T-Value = 3.08 P- Value = 0.005 DF = 25 ^{PTi JTK PTi JK 8.9 8.8 8.7 8.6 8.5 8.4 8.3 8.2} D

  a ta Boxplot of PTi JK, PTi JTK LTi JTK LTi JK ^{6.8 6.7 6.6 6.5 6.4 6.3 6.2 6.1 6.0 5.9} D a ta Boxplot of LTi JK, LTi JTK

  ^{7.4 7.3 7.2 7.1 7.0 6.9 6.8 6.7 6.6} D a ta Boxplot of PJK JK, PJK JTK

PJK JTK PJK JK

  Lampiran 2. Hasil uji t hitung, Diagram, Nilai Estimate for Difference, T-Value, P-Value, dan DF variabel

• – variabel ukuran linier permukaan tubuh, Itik Betina Kerinci dan Itik Betina Tegal Kerinci.

  

PERBANDINGAN UKURAN TUBUH TERNAK ITIK BETINA KERINCI

DAN ITIK BETINA TEGAL KERINCI

1. B O B O T B ADA N

  Two-sample T for BB BK vs BB TK N Mean StDev SE Mean BB BK 28 1.558 0.134 0.025 BB TK 72 1.355 0.114 0.013 Difference = mu (BB BK) - mu (BB TK) Estimate for difference: 0.2032 95% CI for difference: (0.1453, 0.2611) T-Test of difference = 0 (vs not =): T-Value = 7.08 P- Value = 0.000 DF = 43 2.

  P ANJ ANG P ARUH

  Two-sample T for PP BK vs PP BTK N Mean StDev SE Mean PP BK 28 5.462 0.161 0.030 PP BTK 72 5.385 0.190 0.022 Difference = mu (PP BK) - mu (PP BTK) Estimate for difference: 0.0766 95% CI for difference: (0.0011, 0.1522) T-Test of difference = 0 (vs not =): T-Value = 2.03 P- Value = 0.047 DF = 57 3.

  L E B A R PA R U H

  Two-sample T for LP BK vs LP BTK N Mean StDev SE Mean LP BK 28 2.8304 0.0686 0.013 LP BTK 72 2.764 0.124 0.015 Difference = mu (LP BK) - mu (LP BTK) Estimate for difference: 0.0663 95% CI for difference: (0.0275, 0.1051) T-Test of difference = 0 (vs not =): T-Value = 3.40 P- Value = 0.001 DF = 86 ^{BB TK BB BK 1.8 1.7 1.6 1.5 1.4 1.3 1.2 1.1} D

  a ta Boxplot of BB BK, BB TK

  ^{5.9 5.8 5.7 5.6 5.5 5.4 5.3 5.2 5.1 5.0} D a ta Boxplot of PP BK, PP BTK

PP BTK PP BK

  ^{3.0 2.9 2.8 2.7 2.6 2.5 2.4} D a ta Boxplot of LP BK, LP BTK

LP BTK LP BK

  Two-sample T for PK BK vs PK BTK N Mean StDev SE Mean PK BK 28 6.421 0.117 0.022 PK BTK 72 6.3701 0.0959 0.011 Difference = mu (PK BK) - mu (PK BTK) Estimate for difference: 0.0506 95% CI for difference: (0.0005, 0.1006) T-Test of difference = 0 (vs not =): T-Value = 2.04 P- Value = 0.048 DF = 41 5.

  L

  ING K AR K E P AL A

  Two-sample T for LK BK vs LK BTK N Mean StDev SE Mean LK BK 28 14.279 0.187 0.035 LK BTK 72 13.932 0.464 0.055 Difference = mu (LK BK) - mu (LK BTK) Estimate for difference: 0.3466 95% CI for difference: (0.2173, 0.4760) T-Test of difference = 0 (vs not =): T-Value = 5.32 P- Value = 0.000 DF = 97 6.

  T

  ING G

  I K E P AL A

  Two-sample T for TK BK vs TK BTK N Mean StDev SE Mean TK BK 28 4.2093 0.0849 0.016 TK BTK 72 4.1694 0.0973 0.011 Difference = mu (TK BK) - mu (TK BTK) Estimate for difference: 0.0398 95% CI for difference: (0.0003, 0.0793) T-Test of difference = 0 (vs not =): T-Value = 2.02 P- Value = 0.048 DF = 56 ^{PK BTK PK BK 6.7 6.6 6.5 6.4 6.3 6.2} D

  a ta Boxplot of PK BK, PK BTK

4. P ANJ ANG K E P AL A

  ^{14.8 14.6 14.4 14.2 14.0 13.8 13.6 13.4 13.2 13.0} D a ta Boxplot of LK BK, LK BTK

LK BTK LK BK

  ^{4.4 4.3 4.2 4.1 4.0} D a ta Boxplot of TK BK, TK BTK

TK BTK TK BK

  Two-sample T for PL BK vs PL BTK N Mean StDev SE Mean PL BK 28 10.099 0.190 0.036 PL BTK 72 10.127 0.690 0.081 Difference = mu (PL BK) - mu (PL BTK) Estimate for difference: - 0.1159 95% CI for difference: (- 0.2302, -0.0016) T-Test of difference = 0 (vs not =): T-Value = -2.01 P- Value = 0.047 DF = 93 8.

  LI NG K AR L E H E R

  Two-sample T for LL BK vs LL BTK N Mean StDev SE Mean LL BK 28 8.329 0.112 0.021 LL BTK 72 8.271 0.159 0.019 Difference = mu (LL BK) - mu (LL BTK) Estimate for difference: 0.0577 95% CI for difference: (0.0015, 0.1140) T-Test of difference = 0 (vs not =): T-Value = 2.05 P- Value = 0.045 DF = 69 9.

  P ANJ ANG SAYAP

  Two-sample T for PSa BK vs PSa BTK N Mean StDev SE Mean PSa BK 28 25.429 0.920

  0.17 PSa BTK 72 25.014 0.978 0.092 Difference = mu (PSa BK) - mu (PSa BTK) Estimate for difference: 0.415 95% CI for difference: (0.018, 0.811) T-Test of difference = 0 (vs not =): T-Value = 2.11 P- Value = 0.041 DF = 42 ^{PL BTK PL BK 11.5 11.0 10.5 10.0 9.5 9.0 8.5} D

  a ta Boxplot of PL BK, PL BTK

7. P ANJ ANG L E H E R

  ^{8.6 8.5 8.4 8.3 8.2 8.1 8.0} D a ta Boxplot of LL BK, LL BTK

LL BTK LL BK

  PSa BTK PSa BK ^{27.0 26.5 26.0 25.5 25.0 24.5 24.0} D a ta Boxplot of PSa BK, PSa BTK

  Two-sample T for PTu BK vs PTu BTK N Mean StDev SE Mean PTu BK 28 53.89 1.10

  0.21 PTu BTK 72 53.36 1.26

  0.15 Difference = mu (PTu BK) - mu (PTu BTK) Estimate for difference: 0.532 95% CI for difference: (0.020, 1.043) T-Test of difference = 0 (vs not =): T-Value = 2.08 P- Value = 0.042 DF = 56 11.

10. P ANJ ANG T UB UH

  T

  ING G

  I T UB UH

  Two-sample T for Ttu BK vs Ttu BTK N Mean StDev SE Mean Ttu BK 28 49.89 2.44

  0.46 Ttu BTK 72 48.76 2.32

  0.27 Difference = mu (Ttu BK) - mu (Ttu BTK) Estimate for difference: 1.129 95% CI for difference: (0.051, 2.207) T-Test of difference = 0 (vs not =): T-Value = 2.11 P- Value = 0.040 DF = 47 12.

  P ANJ ANG DADA

  Two-sample T for PD BK vs PD BTK N Mean StDev SE Mean PD BK 28 12.754 1.228 0.043 PD BTK 72 12.467 1.678 0.044 Difference = mu (PD BK) - mu (PD BTK) Estimate for difference: 0.2869 95% CI for difference: (0.1635, 0.4103) T-Test of difference = 0 (vs not =): T-Value = 4.63 P- Value = 0.000 DF = 80 ^{PTu BTK PTu BK 56 55 54 53 52} D

  a ta Boxplot of PTu BK, PTu BTK Ttu BTK Ttu BK ^{56 54 52 50 48 46 44 42} D a ta Boxplot of Ttu BK, Ttu BTK

  ^{13.6 13.4 13.2 13.0 12.8 12.6 12.4 12.2 12.0} D a ta Boxplot of PD BK, PD BTK

PD BTK PD BK

  Two-sample T for LD BK vs LD BTK N Mean StDev SE Mean LD BK 28 7.571 0.120 0.023 LD BTK 72 7.975 0.672 0.079 Difference = mu (LD BK) - mu (LD BTK) Estimate for difference: - 0.4047 95% CI for difference: (- 0.5686, -0.2408) T-Test of difference = 0 (vs not =): T-Value = -4.91 P- Value = 0.000 DF = 81 14.

  P ANJ ANG SH ANK

  Two-sample T for PS BK vs PS BTK N Mean StDev SE Mean PS BK 28 4.664 0.225 0.043 PS BTK 72 4.413 0.186 0.022 Difference = mu (PS BK) - mu (PS BTK) Estimate for difference: 0.2511 95% CI for difference: (0.1544, 0.3477) T-Test of difference = 0 (vs not =): T-Value = 5.24 P- Value = 0.000 DF = 42 15.

  L

  ING K AR SH A NK

  Two-sample T for LS BK vs LS BTK N Mean StDev SE Mean LS BK 28 4.368 0.122 0.023 LS BTK 72 4.310 0.144 0.017 Difference = mu (LS BK) - mu (LS BTK) Estimate for difference: 0.0581 95% CI for difference: (0.0009, 0.1154) T-Test of difference = 0 (vs not =): T-Value = 2.03 P- Value = 0.047 DF = 57 ^{LD BTK LD BK 9.5 9.0 8.5 8.0 7.5 7.0} D

  a ta Boxplot of LD BK, LD BTK

13. L E B AR DA DA

  ^{5.0 4.8 4.6 4.4 4.2 4.0} D a ta Boxplot of PS BK, PS BTK

PS BTK PS BK

  ^{4.6 4.5 4.4 4.3 4.2 4.1 4.0} D a ta Boxplot of LS BK, LS BTK

LS BTK LS BK

  I B

  IA

  Two-sample T for PTi BK vs PTi BTK N Mean StDev SE Mean PTi BK 28 8.678 0.231 0.044 PTi BTK 72 8.497 0.303 0.036 Difference = mu (PTi BK) - mu (PTi BTK) Estimate for difference: 0.1807 95% CI for difference: (0.0680, 0.2934) T-Test of difference = 0 (vs not =): T-Value = 3.20 P- Value = 0.002 DF = 64 17.

16. P ANJ ANG T

  L

  ING K AR T

  I B

  IA

  Two-sample T for Lti BK vs Lti BTK N Mean StDev SE Mean Lti BK 28 6.489 0.267 0.050 Lti BTK 72 6.362 0.316 0.037 Difference = mu (Lti BK) - mu (Lti BTK) Estimate for difference: 0.1268 95% CI for difference: (0.0012, 0.2523) T-Test of difference = 0 (vs not =): T-Value = 2.02 P- Value = 0.048 DF = 57 18.

  P ANJ ANG J ARI K E T

  IG A

  Two-sample T for PJK BK vs PJK BTK N Mean StDev SE Mean PJK BK 28 7.156 0.130 0.025 PJK BTK 72 7.026 0.196 0.023 Difference = mu (PJK BK) - mu (PJK BTK) Estimate for difference: 0.1298 95% CI for difference: (0.0626, 0.1970) T-Test of difference = 0 (vs not =): T-Value = 3.85 P- Value = 0.000 DF = 74 ^{PTi BTK PTi BK 9.0 8.8 8.6 8.4 8.2 8.0} D

  a ta Boxplot of PTi BK, PTi BTK Lti BTK Lti BK ^{7.25 7.00 6.75 6.50 6.25 6.00 5.75 5.50} D a ta Boxplot of Lti BK, Lti BTK

  ^{7.4 7.3 7.2 7.1 7.0 6.9 6.8 6.7 6.6 6.5} D a ta Boxplot of PJK BK, PJK BTK

PJK BTK PJK BK

  _4.0971 Two-sample T for JP BK vs JP

  Boxplot of JP BK, JP BTK BTK _4.2 N Mean StDev SE

  Mean JP BK 28 4.097 0.121

  IS _4.1

  0.023

  UB

  JP BTK 72 4.039 0.143

   P

  0.017

  ta a ^4.0 D

  Difference = mu (JP BK) - mu (JP BTK)

  ARAK _3.9 Estimate for difference: J

  0.0585 19. _3.8 95% CI for difference: _{JP BK JP BTK} (0.0017, 0.1154) T-Test of difference = 0 (vs not =): T-Value = 2.06 P- Value = 0.044 DF = 57

  

Lampiran 3. Komponen Utama, Nilai Eigen, Keragaman Total, Keragaman

Kumulatif yang diturunkan dari matriks covarian variabel

• – variabel ukuran linier permukaan tubuh, Itik Jantan Kerinci.

  Variable Komponen Utama

  I II

  III

  IV V Panjang Paruh 0.043 0.046 -0.148 0.478 -0.057 Lebar Paruh 0.058 0.151 -0.406 0.342 -0.101 Panjang Kepala

• 0.35 0.123 -0.264 -0.142
• 0.169 -0.15 0.511 -0.104 -0.092 Tinggi Kepala 0.057 -0.482 -0.066 0.361 0.005 Panjang Leher 0.027 -0.29 -0.227 -0.25 0.034 Lingkar Leher -0.012 -0.113 -0.238 0.011 -0.841
• 0.24 0.268 -0.087 0.391 -0.208 Panjang Dada 0.432 0.136 0.116 -0.036 -0.32 Lebar Dada 0.384 -0.004 -0.163 -0.09 0.284 Panjang Shank
• 0.439 -0.15 -0.069 -0.066 0.233 Eigen Value 3.6844 2.5435 2.1762 1.9853 1.6109 Keragaman Total (%) 0.217

  0.03 Lingkar Kepala

  Panjang Sayap -0.113 0.207 0.426 0.244

  0.12 Panjang Tubuh 0.149 0.302 0.026 0.197 0.394 Tinggi Tubuh

  0.007 -0.546 -0.076 0.192 -0.085 Lingkar Shank 0.311 0.071 -0.087 -0.216 -0.416 Panjang Tibia 0.156 0.087 -0.187 -0.142

  0.52 Lingkar Tibia -0.316 0.225 -0.295 -0.25 -0.273 Panjang Jari Ketiga

  0.15 0.128 0.117 0.095

Keragaman Kumulatif (%) 0.217 0.366 0.494 0.611 0.706

Y

1 = 0.043 PP + 0.058 LP - 0.350 PK - 0.169 LK + 0.057 TK + 0.027 PL -

0.012 LL - 0.113 Psa + 0.149 Ptu - 0.240 Ttu + 0.432 PD + 0.384 LD +

  0.007 PS + 0.311 LS + 0.156 Pti - 0.316 Lti - 0.439 PJK λ = 3.6844 Y

2 = 0.046 PP + 0.151 LP + 0.123 PK - 0.150 LK - 0.482 TK - 0.290 PL - 0.113

LL + 0.207 Psa + 0.302 Ptu + 0.268 Ttu + 0.136 PD - 0.004 LD - 0.546

  PS + 0.071 LS + 0.087 Pti + 0.225 Lti - 0.150 PJK λ = 2.5435

  

Lampiran 4. Komponen Utama, Nilai Eigen, Keragaman Total, Keragaman

Kumulatif yang diturunkan dari matriks covarian variabel

• – variabel ukuran linier permukaan tubuh, Itik Betina Kerinci.

  Variable Komponen Utama

  I II

  III

  IV V Panjang Paruh 0.266 -0.266 -0.325 -0.408 0.064 Lebar Paruh 0.215 0.191 -0.16 -0.322 -0.07 Panjang Kepala -0.386 0.068 0.024 -0.147 -0.081

  Lingkar Kepala 0.037 -0.211 0.113 -0.25 0.146 Tinggi Kepala 0.245 0.163 0.483 0.074 -0.004 Panjang Leher 0.339 0.122 0.159 -0.256 0.011 Lingkar Leher 0.156 0.329 -0.114 -0.16 -0.463

  Panjang Sayap 0.092 0.401 -0.162 0.171 0.118 Panjang Tubuh

• 0.34 0.174 -0.001 -0.257 -0.28 Tinggi Tubuh 0.021 0.247 0.251 0.133 -0.328 Panjang Dada 0.417 -0.1
• 0.05 0.36 0.352 0.046 0.287 Panjang Tibia -0.084 0.231 -0.059 -0.044 0.487 Lingkar Tibia 0.177 0.359 -0.41 -0.093 Panjang Jari Ketiga 0.015 0.025 -0.382 0.523 -0.026
• 0.218 -0.039 -0.114 0.246 -0.088 Eigen Value 3.1264 2.061 1.8658 1.6879 1.6275 Keragaman Total (%) 0.174 0.115 0.104 0.094
• – 0.218 JP λ = 3.1264 Y

  0.15 0.198 -0.212 Lebar Dada 0.283 0.13 -0.116 0.07 0.385 Panjang Shank 0.257 -0.318 0.069 0.231 -0.14 Lingkar Shank

  Jarak Pubis

  0.09 Keragaman Kumulatif (%) 0.174 0.288 0.392 0.486 0.576 Y

1 = 0.266 PP + 0.215 LP - 0.386 PK + 0.037 LK + 0.245 TK + 0.339 PL +

0.156 LL+ 0.092 Psa - 0.340 Ptu + 0.021 Ttu + 0.417 PD + 0.283 LD +

  0.257 PS - 0.050 LS - 0.084 Pti + 0.177 Lti + 0.015 PJK

  2 = -0.266 PP + 0.191 LP + 0.068 PK - 0.211 LK + 0.163 TK + 0.122 PL + 0.329 LL + 0.401 Psa + 0.174 Ptu + 0.247 Ttu - 0.100 PD + 0.130 LD -

  

0.318 PS + 0.360 LS + 0.231 Pti + 0.359 Lti + 0.025 PJK - 0.039 JP

λ = 2.061

  

Lampiran 5. Komponen Utama, Nilai Eigen, Keragaman Total, Keragaman

Kumulatif yang diturunkan dari matriks covarian variabel

• – variabel ukuran linier permukaan tubuh, Itik Jantan Tegal Kerinci.

  Variable Komponen Utama

  I II

  III

  IV V Panjang Paruh 0.222 -0.301 0.195 0.189 0.051 Lebar Paruh 0.089 -0.247 -0.26 -0.067 0.034 Panjang Kepala

• 0.383 0.224 0.237 0.155 -0.174 Lingkar Kepala -0.154 0.197 -0.086 0.464 -0.252 Tinggi Kepala 0.31 -0.187 0.125 0.387 -0.228 Panjang Leher 0.021 0.263
• 0.172 -0.102 0.093 0.355
• 0.246 -0.325 -0.269 0.329 -0.113 Panjang Dada 0.470
• 0.484 -0.073 0.012 -0.045 0.103 Lingkar Shank -0.038 -0.338 0.362 -0.203 0.134 Panjang Tibia 0.071 -0.388 0.053 -0.208 -0.431 Lingkar Tibia -0.283 -0.313
• 0.153 0.002 0.165 0.212 0.581 Eigen Value 2.4187 1.5777 1.4804 1.4047 1.2998 Keragaman Total (%) 0.142 0.093 0.087 0.083 0.076 Keragaman Kumulatif (%)

  0.52 -0.117 -0.081 Lingkar Leher 0.081 -0.086 0.492 0.054 0.029 Panjang Sayap

  0.11 Panjang Tubuh 0.093 0.332 0.103 0.05 -0.421 Tinggi Tubuh

  0.09 -0.063 0.091 0.207 Lebar Dada 0.073 -0.213 0.179 0.367 -0.032 Panjang Shank

  0.12 -0.208 -0.215 Panjang Jari Ketiga

  0.142 0.235 0.322 0.405 0.481 Y

1 = 0.185 PP + 0.046 LP + 0.372 PK - 0.061 LK + 0.295 TK + 0.080 PL +

  0.097 LL - 0.085 Psa + 0.417 Ptu - 0.235 Ttu + 0.444 PD - 0.022 LD - 0.453 PS - 0.037 LS + 0.024 Pti - 0.252 Lti - 0.113 PJK λ = 2.4187 Y

  

2 = 0.164 PP - 0.053 LP + 0.245 PK + 0.355 LK + 0.270 TK - 0.146 PL -

0.077 LL + 0.412 Psa + 0.026 Ptu + 0.464 Ttu - 0.008 PD + 0.514 LD + 0.002 PS - 0.141 LS - 0.006 Pti + 0.002 Lti + 0.121 PJK

  λ = 1.5777

  

Lampiran 6. Komponen Utama, Nilai Eigen, Keragaman Total, Keragaman

Kumulatif yang diturunkan dari matriks covarian variabel

• – variabel ukuran linier permukaan tubuh, Itik Betina Tegal Kerinci.

  Variable Komponen Utama

  I II

  III

  IV V Panjang Paruh 0.064 0.353 0.086 -0.112 0.078 Lebar Paruh 0.298 -0.082 -0.003 0.175 -0.425 Panjang Kepala

• 0.432 -0.029 -0.006 0.278 -0.212 Lingkar Kepala -0.029 0.245 0.153 -0.281 -0.391 Tinggi Kepala -0.074 0.226 -0.279 -0.202 -0.322 Panjang Leher 0.334 -0.135 0.065 0.381 -0.112 Lingkar Leher

  0.1 0.281 -0.165 0.057 -0.252 Panjang Sayap 0.07 0.372 -0.184 0.354 -0.081 Panjang Tubuh

  0.034 -0.456 -0.21 0.169 -0.33 Tinggi Tubuh 0.328 -0.111 -0.162 -0.074 -0.045 Panjang Dada 0.437 0.04 0.041 -0.171 0.177 Lebar Dada

• 0.417 0.011 0.063 0.015 -0.15 Panjang Shank 0.237 0.218 -0.104

  0.19 -0.209 Lingkar Shank 0.039 0.346 0.471 0.257 0.024 Panjang Tibia

• 0.183 0.081 -0.381 -0.105 -0.124 Lingkar Tibia -0.061 0.338 -0.318 0.252 0.277 Panjang Jari Ketiga -0.136 -0.082 0.324 0.407 -0.031 Jarak Pubis 0.035 0.065 0.408 -0.285 -0.357 Eigen Value

  3.3363 2.0826 1.5722 1.425 1.328 Keragaman Total (%) 0.185 0.116 0.087 0.079 0.074 Keragaman Kumulatif (%) 0.185 0.301 0.388 0.468 0.541 Y

  

1 = 0.064 PP + 0.298 LP - 0.432 PK - 0.029 LK - 0.074 TK + 0.334 PL +

0.100 LL + 0.070 Psa + 0.034 Ptu + 0.328 Ttu + 0.437 PD - 0.417 LD + 0.237 PS + 0.039 LS - 0.183 Pti - 0.061 Lti - 0.136 PJK + 0.035 JP

  λ = 3.3363 Y

2 = 0.353 PP - 0.082 LP - 0.029 PK + 0.245 LK + 0.226 TK - 0.135 PL +

  0.281 LL + 0.372 Psa - 0.456 Ptu - 0.111 Ttu + 0.040 PD + 0.011 LD +

0.218 PS + 0.346 LS + 0.081 Pti + 0.338 Lti - 0.082 PJK - 0.065 JP

λ = 2.0826