Genomic Prediction for Rust Resistance in Diverse Wheat

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Genomic Prediction for Rust Resistance in Diverse Wheat Landraces
Hans D. Daetwyler*, Urmil K. Bansal, Harbans S. Bariana, Matthew J. Hayden and Ben J. Hayes
Theoretical and Applied Genetics, 2014
*Corresponding author: hans.daetwyler@depi.vic.gov.au
Supplementary Information
Table S1. List of Watkins genotypes (Triticum aestivum) used in study along with their country of
origin
Aus No.
Country
Aus No.
Country
Aus26410
Greece
Aus27983
Soviet union republic
Aus26414
Greece
Aus27307
Soviet union republic
Aus26429
Greece
Aus27314
Australia
Aus26431
Greece
Aus27315
Australia
Aus26438
Cyprus
Aus27317
Australia
Aus26491
Greece
Aus27318
Australia
Aus26526
Morocco
Aus27320
Australia
Aus26552
Portugal
Aus27339
Australia
Aus26558
Iran
Aus27346
Yugoslavia
Aus26559
Iran
Aus27348
Yugoslavia
Aus26580
Portugal
Aus27354
Myanmar
Aus26624
Spain
Aus27355
Myanmar
Aus26667
Tunisia
Aus27356
Morocco
Aus26673
Tunisia
Aus27357
Morocco
Aus27215
Afghanistan
Aus27361
Spain
Aus27225
Yugoslavia
Aus27362
Spain
Aus27905
Syria
Aus27363
Spain
Aus27229
Spain
Aus27367
Soviet union republic
Aus27230
Spain
Aus27374
India
Aus27247
Yugoslavia
Aus27375
China
Aus27251
Yugoslavia
Aus27376
China
Aus27252
Yugoslavia
Aus27379
China
Aus27255
Greece
Aus27380
China
Aus27270
Unknown
Aus27382
China
Aus27272
Unknown
Aus27383
China
Aus27279
Afghanistan
Aus27389
China
Aus27280
Afghanistan
Aus27401
China
Aus27284
Afghanistan
Aus27402
China
Aus27286
Afghanistan
AUS27404
China
Aus27294
Algeria
Aus27405
China
Aus27299
Algeria
Aus27406
China
1
Aus27407
China
Aus27843
India
Aus27408
China
Aus27848
India
Aus27415
China
Aus27851
India
Aus27419
China
Aus27852
India
Aus27425
China
Aus27853
India
Aus27429
China
Aus27854
India
Aus27430
China
Aus27856
India
Aus27431
China
Aus27857
India
Aus27432
China
Aus27858
India
Aus27441
China
Aus27861
India
Aus27444
China
Aus27869
India
Aus27447
China
Aus27873
Soviet union republic
Aus27448
China
Aus27878
Italy
Aus27450
China
Aus27881
Italy
Aus27451
China
Aus27882
Italy
AUS27455
China
Aus27885
Italy
Aus27471
Yugoslavia
Aus27894
Spain
Aus27473
Yugoslavia
Aus27899
Morocco
AUS27474
Yugoslavia
Aus27900
Morocco
Aus27476
Yugoslavia
Aus27902
Morocco
Aus27477
Yugoslavia
Aus27904
Spain
Aus27492
France
Aus27911
Spain
Aus27506
France
Aus27915
Spain
Aus27524
Hungary
Aus27916
Spain
Aus27525
Hungary
Aus27919
Spain
Aus27800
Unknown
Aus27921
Iran
Aus27801
India
Aus27928
Iran
Aus27806
India
Aus27930
Iran
Aus27811
India
Aus27931
Iran
Aus27812
India
Aus27940
Poland
Aus27817
India
Aus27949
Poland
Aus27822
India
Aus27950
Poland
Aus27823
India
Aus27953
Poland
Aus27825
India
Aus27955
Portugal
Aus27826
India
Aus27959
Portugal
Aus27830
India
Aus27960
Portugal
Aus27832
India
Aus27961
Portugal
Aus27833
India
Aus27962
Portugal
Aus27834
India
Aus27969
Portugal
Aus27835
India
Aus27970
Portugal
Aus27836
India
Aus27993
Yugoslavia
Aus27838
India
Aus27999
Italy
Aus27841
India
Aus28000
Spain
Aus27842
India
Aus28004
Soviet union republic
2
Aus28009
Egypt
Aus28164
Iran
Aus28011
Tunisia
Aus28166
Iran
Aus28012
Soviet union republic
Aus28168
Iran
Aus28014
Soviet union republic
Aus28170
Iran
Aus28015
Soviet union republic
Aus28176
Iran
Aus28020
Soviet union republic
Aus28177
Iran
Aus28022
Soviet union republic
Aus28178
Iran
Aus28028
Spain
Aus28179
Iran
Aus28042
Spain
Aus28183
Iran
Aus28044
Spain
Aus28184
Iran
Aus28050
India
Aus28186
Iran
Aus28052
India
Aus28187
Iran
Aus28055
India
Aus28193
Portugal
Aus28056
India
Aus28194
Portugal
Aus28058
India
Aus28201
Portugal
Aus28062
India
Aus28202
Portugal
Aus28066
India
Aus28203
Portugal
Aus28077
India
Aus28205
Portugal
Aus28081
India
Aus28216
Yugoslavia
Aus28082
India
Aus28217
Yugoslavia
Aus28083
India
Aus28223
Spain
Aus28086
India
Aus28225
Spain
Aus28089
India
Aus28230
Turkey
Aus28091
India
Aus28232
Turkey
Aus28095
India
Aus28236
Tunisia
Aus28096
India
Aus28244
Bulgaria
Aus28097
India
Aus28245
Bulgaria
Aus28099
India
Aus28246
Bulgaria
Aus28112
Iraq
Aus28253
Greece
Aus28115
Morocco
Aus28254
Greece
Aus28119
Morocco
Aus28255
Yugoslavia
Aus28124
Morocco
Aus28261
Greece
Aus28125
Morocco
Aus28262
Yugoslavia
Aus28126
Morocco
Aus28264
China
Aus28127
Morocco
Aus28266
Ethiopia
Aus28128
Morocco
Aus28272
Soviet union republic
Aus28138
Spain
Aus28768
India
Aus28139
Spain
Aus28824
Yugoslavia
Aus28141
Spain
Aus29883
United Kingdom
Aus28142
Spain
Aus28266
Ethiopia
Aus28146
Spain
Aus28155
Spain
Aus28160
Iran
Aus28163
Iran
3
Table S2. The 40 SNPs with the largest absolute allele substitution effects for the second allele for
leaf, stem and stripe rust ordered by genomic region. SNP effects presented as absolute values*
SNP name/rust
SNPEffect
Chromo
some
Map
order
Gene
QTL
wsnp_Ex_c7252_12452995
0.00281
1A
21.0
Uncharacterized
wsnp_Ex_c42282_48901252
0.00259
1A
87.2
Unpublished
wsnp_Ex_c12336_19687074
0.00244
1A
87.2
wsnp_Ku_c21364_31103315
0.00227
1A
102.3
wsnp_JD_c13384_13393159
0.00233
1A
113.8
wsnp_RFL_Contig3542_3718200
0.00293
1A
117.5
wsnp_BE444305A_Td_2_1
0.00290
1A
117.5
wsnp_Ex_c10631_17340809
0.00254
1A
155.3
Uncharacterized
wsnp_BE637971B_Ta_1_20
0.00260
1B
9.6
Uncharacterized
wsnp_Ex_rep_c102909_87976721
0.00269
1B
64.1
Uncharacterized
wsnp_BF485168B_Ta_2_1
0.00230
1B
66.5
wsnp_Ex_c27176_36393952
0.00245
1B
101.9
wsnp_CAP12_c1337_682282
0.00249
1B
121.9
wsnp_Ra_c21104_30458226
0.00239
2A
4.1
wsnp_Ex_rep_c102538_87682273
0.00278
2A
134.6
wsnp_Ra_c8430_14289874
0.00257
2A
150.5
wsnp_Ex_c4272_7708423
0.00229
2B
44.0
Uncharacterized
wsnp_Ra_c31353_40494768
0.00228
2B
188.8
Yr43, Yr44, Yr53
QTL56
wsnp_Ku_c15498_24122936
0.00288
2B
208.5
Uncharacterized
QTL7
wsnp_Ex_c24135_33382700
0.00295
2B
208.7
wsnp_BE488779D_Ta_1_2
0.00248
2D
81.6
Uncharacterized
wsnp_Ra_c16278_24893033
0.00236
3A
42.8
Uncharacterized
wsnp_Ku_c40218_48484410
0.00258
3A
43.3
wsnp_Ex_c16615_25147492
0.00254
3A
69.2
Uncharacterized
wsnp_Ex_c15269_23492289
0.00238
3A
83.2
Uncharacterized
wsnp_BE446462D_Ta_2_1
0.00321
3B
0.7
wsnp_CAP11_c1214_700133
0.00263
3B
52.8
wsnp_JD_c9805_10591233
0.00268
3B
62.4
wsnp_Ex_c5074_9009245
0.00234
3B
88.1
wsnp_JD_rep_c49010_33257826
0.00259
3B
96.2
wsnp_BE490599A_Ta_2_1
0.00241
4A
67.0
wsnp_RFL_Contig3024_2910610
0.00243
4A
67.0
wsnp_BE443291A_Ta_2_1
0.00244
4A
67.0
wsnp_Ex_c4331_7808746
0.00237
4A
165.4
wsnp_RFL_Contig4475_5295587
0.00278
4A
178.6
wsnp_BE442666B_Ta_2_2
0.00291
4B
36.5
Uncharacterized
wsnp_Ex_c14812_22928900
0.00240
5A
45.0
Uncharacterized
wsnp_Ex_c12678_20148981
0.00251
5A
91.6
Uncharacterized
Stripe rust
QTL1
Uncharacterized
Uncharacterized
QTL2,3
Yr41
QTL2,3,4
Unpublished
Yr30
QTL8
Uncharacterized
Uncharacterized
Yr51
QTL9
QTL2
4
wsnp_Ku_c12211_19780409
0.00242
5A
95.6
wsnp_Ex_c898_1739090
0.00238
5A
118.2
wsnp_Ex_c898_1738424
0.00237
5A
118.2
wsnp_BE499835B_Ta_2_5
0.00211
5B
23.3
wsnp_Ku_c21465_31217980
0.00246
5B
201.8
wsnp_Ku_c3151_5892200
0.00246
5B
205.0
wsnp_Ex_c1857_3498746
0.00230
5B
214.2
wsnp_Ex_rep_c68491_67318138
0.00236
5D1
6.0
wsnp_Ex_c3422_6283568
0.00234
5D2
34.6
wsnp_RFL_Contig2424_1966870
0.00236
6A
0.9
Uncharacterized
wsnp_JD_c3441_4455541
0.00266
6A
45.3
Uncharacterized
wsnp_CAP11_c1114_653767
0.00325
6A
45.7
wsnp_Ex_c2236_4189774
0.00290
6A
180.2
wsnp_Ex_c34597_42879693
0.00282
6A
180.2
wsnp_Ex_c7191_12352173
0.00255
6B
7.1
wsnp_Ex_c45081_50974769
0.00250
6B
48.8
wsnp_Ex_c25505_34771897
0.00289
6B
52.9
wsnp_Ex_c38198_45786860
0.00230
6B
59.5
wsnp_Ex_c2849_5262624
0.00228
6B
60.1
wsnp_Ku_c5623_9966516
0.00234
6B
95.0
wsnp_Ra_c35443_43984445
0.00231
6B
95.0
wsnp_CAP11_c1432_806102
0.00283
6B
105.2
wsnp_RFL_Contig308_2996797
0.00254
7A
5.6
Uncharacterized
wsnp_Ku_c139_279238
0.00245
7A
40.6
Uncharacterized
wsnp_Ex_c25644_34905425
0.00255
7A
51.2
wsnp_Ex_c11636_18742884
0.00243
7A
82.3
wsnp_Ex_c18352_27178687
0.00234
7A
82.3
wsnp_Ex_c15988_24402251
0.00235
7A
82.3
wsnp_Ex_c42836_49314564
0.00239
7A
82.3
wsnp_Ra_rep_c104968_88985755
0.00238
7A
87.2
wsnp_JD_c15333_14824351
0.00236
7A
92.8
wsnp_BQ160404A_Ta_1_1
0.00251
7A
116.5
Uncharacterized
wsnp_Ku_c8497_14429303
0.00280
7B
31.6
Uncharacterized
wsnp_CAP8_c3593_1773371
0.00236
7B
45.3
wsnp_Ku_c19037_28455905
0.00261
7B
57.4
wsnp_RFL_Contig1205_284961
0.00239
7B
57.4
wsnp_BG262287B_Td_2_5
0.00247
7B
108.7
wsnp_Ex_c38203_45790396
0.00175
1A
22.5
Uncharacterized
wsnp_Ex_c6452_11213329
0.00150
1A
97.5
Uncharacterized
wsnp_Ex_c20489_29564938
0.00143
1A
97.5
wsnp_BG606986A_Ta_2_1
0.00148
1A
114.3
wsnp_BG606986A_Ta_2_4
0.00140
1A
114.6
wsnp_JD_c20553_18260731
0.00133
1A
128.9
wsnp_Ku_c13768_21859275
0.00164
1A
153.5
wsnp_Ex_c9600_15889471
0.00163
1A
179.2
Yr47
Uncharacterized
QTL3,5,7,10,11
Uncharacterized
QTL12,13
Uncharacterized
Uncharacterized
QTL1,7,14,15
Uncharacterized
QTL14
Uncharacterized
QTL7
Yr39, Yr52
Leaf rust
Uncharacterized
5
wsnp_Ex_c33654_42106735
0.00130
1B
22.9
wsnp_Ex_c14832_22953906
0.00130
1B
22.9
Lr44, Lr71
wsnp_Ex_c6022_10553838
0.00143
1B
38.2
wsnp_Ex_c4436_7981188
0.00143
1B
123.4
wsnp_Ex_c866_1684236
0.00167
2A
63.7
wsnp_Ra_c4503_8155485
0.00131
2A
150.5
Uncharacterized
wsnp_Ku_c4042_7375053
0.00129
2B
80.8
Lr13, Lr23, Lr48
wsnp_RFL_Contig2666_2354537
0.00127
2B
110.8
wsnp_CAP8_c7453_3441062
0.00139
2B
149.4
wsnp_BF291674B_Ta_2_1
0.00140
2B
149.4
wsnp_Ku_c12037_19549078
0.00143
2B
165.9
wsnp_Ex_c16425_24923685
0.00131
2B
185.7
wsnp_JD_c4343_5462565
0.00133
2B
191.0
wsnp_Ex_rep_c103064_88104690
0.00140
2B
230.1
wsnp_Ex_c25311_34578436
0.00146
2D
113.1
Uncharacterized
wsnp_Ra_c16278_24893033
0.00175
3A
42.8
Uncharacterized
wsnp_Ex_c24432_33676448
0.00158
3A
42.8
wsnp_Ku_c40218_48484410
0.00170
3A
43.3
wsnp_Ku_c3286_6111264
0.00151
3A
102.9
wsnp_Ex_c15100_23284292
0.00153
3A
102.9
wsnp_Ex_c9510_15761235
0.00153
3A
102.9
wsnp_Ex_rep_c104125_88923836
0.00169
3A
162.4
wsnp_Ex_c6223_10857649
0.00133
3B
80.9
wsnp_Ex_c18624_27492167
0.00139
3B
80.9
wsnp_Ex_c2352_4405961
0.00167
4A
136.3
Uncharacterized
wsnp_JD_c17976_16616890
0.00158
4B
123.4
Uncharacterized
wsnp_JD_rep_c51623_35119179
0.00153
4D
20.6
Uncharacterized
wsnp_Ex_rep_c67296_65839761
0.00165
4D
22.4
wsnp_Ex_c34252_42593715
0.00142
4D
69.9
Lr67
wsnp_Ku_c9559_16000086
0.00133
5A
17.4
Uncharacterized
wsnp_Ex_c49211_53875600
0.00132
5A
83.0
wsnp_Ex_c49211_53875575
0.00132
5A
83.0
wsnp_Ex_rep_c101994_87256479
0.00149
5A
136.7
wsnp_Ex_c23787_33024604
0.00146
5A
140.6
wsnp_BF201102B_Ta_2_5
0.00131
5B
23.6
Lr52
wsnp_Ex_c214_422365
0.00142
5B
39.4
Uncharacterized
wsnp_Ex_c24577_33826666
0.00147
5B
57.1
wsnp_BE497820B_Ta_2_3
0.00135
5B
79.1
wsnp_BE495277B_Ta_2_5
0.00142
5B
101.6
wsnp_JD_rep_c63083_40243538
0.00137
5B
127.0
wsnp_Ex_c8659_14515623
0.00209
5B
130.4
wsnp_Ra_c9155_15344108
0.00188
5B
142.5
wsnp_Ra_c20970_30293078
0.00137
5B
155.8
wsnp_Ex_c3422_6283568
0.00132
5D2
34.6
Uncharacterized
wsnp_JD_c34368_25929293
0.00136
6A
103.9
uncharacterized
wsnp_JD_rep_c48797_33040150
0.00139
6A
103.9
Lr46
Lr17a, Lr17b
Uncharacterized
Lr16
QTL16,17
Uncharacterized
Uncharacterized
QTL16,17
Uncharacterized
Uncharacterized
QTL17
6
wsnp_JD_c3839_4902725
0.00131
6A
111.9
wsnp_BQ167224B_Ta_2_1
0.00148
6B
32.3
Uncharacterized
QTL14
wsnp_Ku_c4910_8793327
0.00144
6B
139.8
Uncharacterized
QTL17
wsnp_Ex_c5341_9443380
0.00129
7A
53.6
Uncharacterized
wsnp_Ex_c5341_9442913
0.00129
7A
53.6
wsnp_Ku_rep_c105954_91953127
0.00141
7A
56.8
wsnp_bq170165A_Ta_1_1
0.00153
7A
97.6
wsnp_Ex_c14248_22204549
0.00131
7B
51.3
wsnp_BE605194B_Ta_2_7
0.00138
7B
105.5
wsnp_BE605194B_Ta_2_1
0.00142
7B
105.7
wsnp_BE498985A_Ta_2_1
0.00156
7B
106.1
wsnp_JD_c13673_13606066
0.00163
7B
132.8
wsnp_Ex_c48087_53105842
0.00077
1A
33.1
Uncharacterized
wsnp_Ex_c4092_7395646
0.00094
1B
28.2
Uncharacterized
wsnp_Ex_c16581_25100502
0.00096
1B
28.2
wsnp_RFL_Contig1952_1128597
0.00097
1B
28.2
wsnp_Ex_c26860_36084209
0.00153
1B
80.2
wsnp_Ku_c41261_49287074
0.00089
1B
90.7
wsnp_Ex_c2569_4780450
0.00113
1B
91.4
wsnp_Ex_c3147_5817088
0.00105
1B
91.4
wsnp_CAP11_c1043_618449
0.00096
1D
50.8
wsnp_Ku_c53270_57959459
0.00087
1D
67.3
wsnp_CAP11_c1556_864919
0.00098
2A
114.7
wsnp_Ex_c12219_19526749
0.00102
2A
141.0
wsnp_CAP11_c3271_1608092
0.00104
2B
20.5
wsnp_Ku_c2486_4751761
0.00090
2B
23.2
wsnp_Ku_c2486_4751695
0.00093
2B
23.2
wsnp_RFL_Contig3118_3061389
0.00094
2B
23.2
wsnp_BE497494B_Ta_2_1
0.00139
2B
76.0
wsnp_CAP11_c3947_1866837
0.00128
2B
76.0
wsnp_CAP11_c3947_1867089
0.00115
2B
76.0
wsnp_Ex_c62404_62055681
0.00114
2B
76.0
wsnp_Ex_c2430_4546479
0.00115
2B
76.0
wsnp_Ex_c20786_29874875
0.00115
2B
76.4
wsnp_Ex_c20786_29875033
0.00128
2B
76.4
wsnp_Ex_rep_c68704_67559626
0.00129
2B
76.4
wsnp_Ex_c42316_48926687
0.00108
2B
77.5
wsnp_Ex_c12671_20140014
0.00107
2B
77.5
wsnp_Ex_c6537_11338763
0.00095
2B
80.4
wsnp_CAP7_rep_c12606_5316797
0.00094
2B
94.0
wsnp_Ex_c6537_11339130
0.00094
2B
94.0
wsnp_Ex_c41558_48356814
0.00085
2B
158.1
wsnp_Ex_c17700_26446810
0.00089
2B
160.4
wsnp_Ku_c48694_54811376
0.00096
2B
219.9
Sr9b, Sr23
wsnp_Ex_c34303_42642389
0.00101
2B
254.7
Uncharacterized
Uncharacterized
Lr68
QTL16,18,19
Stem rust
Uncharacterized
QTL20
Uncharacterized
QTL21
Uncharacterized
Uncharacterized
QTL21,22,23
Uncharacterized
Uncharacterized
Unpublished
QTL22
7
wsnp_Ex_rep_c102478_87635370
0.00106
3A
41.7
wsnp_Ex_rep_c106152_90334299
0.00090
3A
46.2
Uncharacterized
wsnp_BF292295A_Ta_2_1
0.00105
3A
46.8
wsnp_Ex_c15036_23203474
0.00107
3A
47.1
wsnp_Ex_c1660_3158776
0.00084
3A
76.0
wsnp_Ra_c7280_12576178
0.00090
3A
81.4
wsnp_Ku_rep_c68861_68030775
0.00086
4A
73.4
Uncharacterized
wsnp_BG313770B_Ta_1_1
0.00089
4A
154.3
Uncharacterized
wsnp_Ra_c22775_32274079
0.00121
4A
164.3
wsnp_Ex_c49319_53953814
0.00078
4B
61.0
Uncharacterized
wsnp_BE497368A_Ta_2_1
0.00109
5A
46.0
Uncharacterized
wsnp_BE442892A_Ta_2_2
0.00096
5A
46.0
wsnp_CD453438A_Ta_2_1
0.00090
5A
46.0
wsnp_Ex_c15163_23357477
0.00093
5A
46.0
wsnp_Ku_c39334_47795461
0.00084
6A
10.0
Uncharacterized
wsnp_Ex_c14975_23127669
0.00099
6A
78.7
Uncharacterized
wsnp_Ex_c99215_85409445
0.00098
6A
78.7
wsnp_CAP11_c3219_1585635
0.00090
6B
0.6
Sr54
wsnp_Ex_c1988_3742022
0.00109
6D
0.7
Uncharacterized
wsnp_RFL_Contig2789_2553657
0.00089
7A
41.0
Uncharacterized
wsnp_Ra_c31751_40835513
0.00087
7A
74.2
Uncharacterized
wsnp_Ku_c4591_8286024
0.00088
7A
98.4
wsnp_CAP11_c827_513472
0.00095
7A
104.9
wsnp_CAP7_c949_486485
0.00089
7A
104.9
wsnp_Ex_c5177_9174930
0.00093
7A
105.5
wsnp_Ex_rep_c68047_66792559
0.00099
7A
118.2
wsnp_CAP8_c334_304253
0.00103
7B
0.0
wsnp_CAP11_c589_398835
0.00100
7B
0.0
wsnp_BM137749D_Ta_2_1
0.00106
7B
133.4
wsnp_Ex_c65899_64135487
0.00091
7D
2.6
Uncharacterized
QTL21,24
Uncharacterized
Unpublished
Uncharacterized
The locations of Yr, Lr and Sr genes as per the USDA–ARS Cereal Disease Lab
(http://www.ars.usda.gov/Main/docs.htm?docid¼10342)
*Unpublished genes were identified through BSA using 9K SNP chip in mapping populations
developed from Watkins genotypes and are yet to be named (Bansal and Bariana unpublished results).
QTL if reported in the same region are mentioned as well. It may or may not be the same locus.
1
Bariana et al. (2010); 2Lowe et al. (2011); 3Boukaten et al. (2002); 4Carter et al. (2009); 5Mallard et al.
(2005); 6Powell et al. (2013); 7Suenaga et al. (2003); 8Singh et al. (2000); 9Prins et al. (2011); 10Lu et al.
(2009); 11Yang et al. (2013); 12Hao et al. 2011(2011); 13Lin and Chen (2009); 14Ren et al. 2012(2012);
15
Santra et al. (2008); 16 Messmer et al (2000); 17Chu et al. (2009); 18William et al. (1997); 19Xu et al.
(2005); 20Haile et al. (2012); 21Kaur et al. (2009); 22Bhavani et al. (2011); 23Singh et al. (2013), 24Njau
et al. (2013)
8
Table S3. P-values and goodness of fit (R2) when regressing genomic prediction accuracy on
releationship measures (mean relationship, Gmean; Mean of top X, GtopX).
Lr
Sr
Yr
P-value
R2
P-value
R2
P-value
R2
Gtop1
0.000003
0.942709
0.000228
0.833034
0.000025
0.903607
Gtop5
0.000011
0.920800
0.001653
0.729608
0.000672
0.782649
Gtop10
0.000177
0.843265
0.002690
0.695972
0.000158
0.847442
Gtop20
0.000575
0.790723
0.003495
0.676280
0.087855
0.320745
Gtop30
0.013141
0.557183
0.011569
0.570167
0.188512
0.205279
Gtop40
0.085383
0.324880
0.025807
0.482474
0.200709
0.195517
Gtop50
0.037644
0.436212
0.011596
0.569930
0.004206
0.661631
Gmean
0.305028
0.130522
0.127606
0.265318
0.100559
0.300969
Table S4. Accuracy (Pearson correlation) and values for two relationship measures of validation
accessions to the reference population: mean genomic relationship (Gmean) and highest genomic
relationship (Gtop1). Each accuracy resulted from subsets of low or high relationship in leaf, stem and
stripe rust in five repeated random cross-validations each with five folds (30 points per relationship
measure).
Gmean
Trait
Cross-Validation
Accuracy
Gtop1
Accuracy
Low
High
Low
High
Low
High
Low
High
Lr CV1
-0.017
-0.004
0.104
0.362
0.622
1.378
0.027
0.463
Lr CV2
-0.016
-0.003
0.266
0.245
0.596
1.342
0.001
0.492
Lr CV3
-0.015
-0.002
0.302
0.348
0.622
1.367
0.108
0.486
Lr CV4
-0.015
-0.004
0.315
0.191
0.614
1.385
-0.061
0.488
Lr CV5
-0.013
-0.002
0.264
0.299
0.617
1.395
0.116
0.412
Sr CV1
-0.014
-0.003
0.027
0.226
0.612
1.376
-0.038
0.352
Sr CV2
-0.020
-0.001
0.132
0.174
0.629
1.380
0.046
0.253
Sr CV3
-0.013
-0.004
0.219
0.179
0.594
1.349
0.104
0.281
Sr CV4
-0.017
-0.002
0.244
0.261
0.598
1.381
0.147
0.367
Sr CV5
-0.017
-0.001
0.054
0.250
0.594
1.384
0.001
0.288
Yr CV1
-0.022
-0.003
0.468
0.394
0.604
1.351
0.263
0.566
Yr CV2
-0.019
-0.003
0.335
0.520
0.613
1.329
0.368
0.501
Yr CV3
-0.016
-0.002
0.308
0.493
0.608
1.365
0.261
0.507
Yr CV4
-0.015
-0.002
0.242
0.542
0.610
1.368
0.323
0.482
Yr CV5
-0.018
-0.003
0.422
0.444
0.597
1.359
0.295
0.549
Table S5. LogLikelihood and variance components from BLUE models including various random
terms, including GxE interactions, where Var(e) is the error variance, Var(ID) is the variance due to
accessions, Var(IDxSite) is the variance of accession-by-site interactions, and Var(IDxYear) is the
9
variance of accession-by-year interactions. Models with * are significantly different from the base
model that just fitted ID.
Random Model Terms
LogLikelihood
Var(e)
Var(ID)
Var(IDxSite)
Var(IDxYear)
ID
-1409.5
1.26081
ID IDxSite*
-1354.51
1.07312
2.10941
-
-
1.53346
0.66856
-
ID IDxYear*
-1380.14
1.00154
2.0863
-
0.335315
ID IDxSite IDxYear*
-1313.34
0.78553
1.45246
0.72856
0.377454
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11
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