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Water saving traits co-map with a major terminal drought tolerance quantitative trait locus in pearl millet [Pennisetum glaucum (L.) R. Br.] Jana Kholová, T. Nepolean, C. Tom Hash, A. Supriya, V. Rajaram, S. Senthilvel, Aparna Kakkera, Rattan Yadav and Vincent Vadez DOI: http://dx.doi.org/10.1007/s11032-012-9720-0 Supplement Material This is author version post print archived in the official Institutional Repository of ICRISAT www.icrisat.org Water saving traits co-map with a major terminal drought tolerance quantitative trait loci in pearl millet (Pennisetum glaucum (L.) R. Br.). Jana Kholová 1 , T. Nepolean 2 , C. Tom Hash 1 , A. Supriya 1,4 , S. Senthilvel 1 , Aparna Kakkera 1 , Rattan Yadav 3 and Vincent Vadez 1* Supplementary Table 1. Average minimum and maximum temperature (Tmin, Tmax), humidity (RHmin, RHmax) and VPD of distinct experimental sets 14 days prior to assessment of physiological traits Set Number Tmin RHmin Tmax RHmax VPDmin VPDmax set 1 15.69 32.33 35.84 94.16 0.10 3.93 set 2 16.02 31.71 35.81 92.69 0.13 3.96 set 3 15.74 30.78 35.76 91.71 0.15 4.01 set 4 14.93 29.28 35.70 91.67 0.15 4.10 set 5 15.06 30.90 35.11 93.50 0.11 3.88

Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

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Page 1: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

Water saving traits co-map with a major terminal drought tolerance quantitative trait

locus in pearl millet [Pennisetum glaucum (L.) R. Br.]

Jana Kholová, T. Nepolean, C. Tom Hash, A. Supriya, V. Rajaram, S. Senthilvel, Aparna

Kakkera, Rattan Yadav and Vincent Vadez

DOI: http://dx.doi.org/10.1007/s11032-012-9720-0

Supplement Material

This is author version post print archived in the official Institutional Repository of

ICRISAT www.icrisat.org

Water saving traits co-map with a major terminal drought tolerance quantitative

trait loci in pearl millet (Pennisetum glaucum (L.) R. Br.).

Jana Kholová1, T. Nepolean

2, C. Tom Hash

1, A. Supriya

1,4, S. Senthilvel

1, Aparna

Kakkera1, Rattan Yadav

3 and Vincent Vadez

1*

Supplementary Table 1. Average minimum and maximum temperature (Tmin, Tmax), humidity

(RHmin, RHmax) and VPD of distinct experimental sets 14 days prior to assessment of physiological

traits Set Number Tmin RHmin Tmax RHmax VPDmin VPDmax

set 1 15.69 32.33 35.84 94.16 0.10 3.93

set 2 16.02 31.71 35.81 92.69 0.13 3.96

set 3 15.74 30.78 35.76 91.71 0.15 4.01

set 4 14.93 29.28 35.70 91.67 0.15 4.10

set 5 15.06 30.90 35.11 93.50 0.11 3.88

Page 2: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

Supplementary Table 2. The variation within and between experimental RIL sets approximated by

the set average, standard deviation (SD), minimum and maximum range of trait values and differences

between parental genotypes across experimental sets. Below the trait values, the results of ANOVA

showing the significance of variation across sets, genotypes and genotype x set interactions at the

levels of significance; p<0.001 (***); p<0.01 (**); p<0.05 (*); “ns” stands for non-significant

variation and MS for mean square. The LSD of means is visualized as letters next to trait/parent

average where different letters indicate significant difference of means and vice versa.

These traits are; leaf dry weight (LDW [g]), root dry weight (RDW [g]), shoot dry weight (ShDW[g]),

stem dry weight (StDW[g]), biomass dry weight (BDW[g]), leaf area (LA [cm2]) specific leaf weight

(SLW [g cm-2

]), transpiration rate (Tr [g water cm-2

leaf area h-1

]) and absolute transpiration (T [g]).

The measurements between 7:30-10:30 a.m. are indicated with suffix M and 10:30 a.m.-2:30 p.m.

with suffix A and particular set’s suffix indicates the date of measurement in December 2009.

trait-set average SD Range H77/833-2 PRLT2/89-33

BDW 23 7.47(c) 1.89 4.05-11.81 6.47 7.44

BDW 28 10.49(a) 1.77 6.09-14.03 9.5 10.86

BDW 31 9.00(b) 1.99 4.85-13.29 9.38 12.77

variation source set genotype genotype x set 8.45±0.99(a) 10.36±1.56(a)

Significance *** *** ***

LA 18 467.04(d) 112.61 206.75-766.25 285.69 -

LA 21 1072.49(b) 222.16 615.89-1604.31 995.45 1269.54

LA 23 898.30(c) 230.17 419.99-1402.59 547.46 965.94

LA 28 1198.35(a) 217.5 657.86-1749.9 1215.89 1303.97

LA 31 1052.60(b) 221.54 582.54-1649.22 916.85 1770.99

variation source set genotype genotype x set 792.3±166.25(b) 1327.6±166.16(a)

Significance *** *** ***

LDW 18 3.07(d) 0.59 1.68-4.34 2.19 -

LDW 21 4.00(c) 0.77 1.76-5.42 3.64 5.1

LDW 23 3.95(c) 0.98 2.24-7.06 3.2 3.6

LDW 28 5.10(a) 0.79 3.12-6.98 5.5 4.85

LDW 31 4.38(b) 0.89 2.51-6.76 3.61 5.86

variation source set genotype genotype x set 3.63±0.54(a) 4.86±0.47(a)

Significance *** *** ***

RDW 23 1.69(c) 0.65 0.58-3.22 1.97 1.93

RDW 28 2.92(a) 0.91 1.07-5.36 2.48 4.02

RDW 31 2.35(b) 0.72 1.2-4.5 4.36 4.25

variation source set genotype genotype x set 2.93±0.73(a) 3.4±0.74(a)

MS *** ns ***

ShDW 18 4.34(d) 0.87 2.36-6.34 3.18 -

ShDW 21 5.78(c) 1.1 2.98-8.08 5.26 6.82

ShDW 23 5.75(c) 1.37 3.23-9.36 4.5 5.51

ShDW 28 7.51(a) 1.22 4.69-9.7 7.02 6.84

ShDW 31 6.65(b) 1.41 3.55-10.07 5.02 8.52

variation source set genotype genotype x set 5±0.62(a) 6.9±0.62(a)

Significance *** *** ***

SLW 18 0.0067(a) 0.001 0.0046-0.0109 0.0077 -

SLW 21 0.0038(d) 0.0009 0.0021-0.006 0.0037 0.004

SLW 23 0.0045(b) 0.0006 0.0032-0.0063 0.0058 0.0037

SLW 28 0.0043(bc) 0.0004 0.0035-0.0055 0.0045 0.0037

SLW 31 0.0042(c) 0.0005 0.0035-0.006 0.0039 0.0033

variation source set genotype genotype x set 0.0051±0.0007(a) 0.0037±0.0001(a)

Significance *** *** ***

StDW 18 1.24(d) 0.36 0.08-2.02 0.99 -

StDW 21 1.76(c) 0.49 0.59-2.96 1.62 1.72

StDW 23 1.78(c) 0.5 0.54-3.04 1.3 1.91

StDW 28 2.40(a) 0.57 0.88-3.78 1.52 1.99

Page 3: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

StDW 31 2.24(b) 0.58 1.04-3.59 1.41 2.66

variation source set genotype genotype x set 1.37±0.11(a) 2.07±0.2(a)

Significance *** *** ***

TA 18 19.72(g) 3.3 8.03-28.28 16 -

TA 19 21.30(f) 3.85 8.78-31.1 15.2 -

TA 21 23.36(e) 3.88 10.8-32.78 21.97 26.03

TA 22 33.76(a) 5.53 10.98-45.15 33.8 36.88

TA 23 28.45(c) 6.09 14.18-40.18 20.8 31.27

TA 24 31.81(b) 6.83 16.22-48.15 24.9 36.02

TA 28 28.27(c) 4.61 19.1-39.77 30.4 28.15

TA 29 16.71(h) 2.4 11.52-21.88 19.3 18.58

TA 31 26.24(d) 4.49 18.4-37.85 21.35 36.55

variation source set genotype genotype x set 22.64±2.06(b) 30.5±2.56(a)

Significance *** *** ns

TM 18 11.55(d) 2.11 4.9-18.17 9.43 -

TM 19 7.91(e) 1.35 3.7-10.97 6.2 -

TM 21 10.38(c) 1.68 5.57-14.17 9.7 11.17

TM 22 14.09(a) 2.44 7.33-19.33 14.73 16.57

TM 23 11.26(b) 2.7 5-18.9 10.5 13.8

TM 24 13.40(a) 2.89 7.2-20.23 11.43 14.87

TM 28 9.58(d) 1.26 5.93-12.07 10.9 9.8

TM 29 9.97(cd) 1.47 7.03-13.73 10.97 10.97

TM 31 10.11(cd) 1.69 6.83-14.47 8.2 13.5

variation source set genotype genotype x set 10.23±0.78(b) 12.95±0.91(a)

Significance *** *** **

Tr A 18 0.0442(a) 0.0075 0.0323-0.0659 0.056 -

Tr A 19 0.0477(b) 0.0082 0.0356-0.0752 0.0532 -

Tr A 21 0.0227(f) 0.0036 0.0146-0.0311 0.0221 0.0205

Tr A 22 0.0331(d) 0.0061 0.0221-0.0485 0.034 0.029

Tr A 23 0.0328(e) 0.0043 0.0242-0.0423 0.038 0.0324

Tr A 24 0.0367(c) 0.0051 0.0245-0.0518 0.0455 0.0373

Tr A 28 0.0239(g) 0.0031 0.0176-0.0331 0.025 0.0216

Tr A 29 0.0141(g) 0.0018 0.0108-0.0188 0.0159 0.0142

Tr A 31 0.0258(f) 0.0034 0.0199-0.0357 0.0233 0.0206

variation source set genotype genotype x set 0.035±0.0048(a) 0.025±0.003(b)

Significance *** *** ***

Tr M 18 0.0259(a) 0.0052 0.017-0.0447 0.033 -

Tr M 19 0.0178(b) 0.0035 0.0117-0.0299 0.0217 -

Tr M 21 0.0101(g) 0.0019 0.0072-0.0152 0.0097 0.0088

Tr M 22 0.0138(d) 0.0031 0.0096-0.0221 0.0148 0.013

Tr M 23 0.0130(d) 0.0023 0.0078-0.0194 0.0192 0.0143

Tr M 24 0.0155(c) 0.0028 0.0079-0.0234 0.0209 0.0154

Tr M 28 0.0082(f) 0.0012 0.0057-0.0118 0.009 0.0075

Tr M 29 0.0084(h) 0.0011 0.0058-0.0111 0.009 0.0084

Tr M 31 0.0100(e) 0.0016 0.0069-0.0146 0.0089 0.0076

variation source set genotype genotype x set 0.016±0.0027(a) 0.011±0.0013(b)

Significance *** *** ***

Page 4: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

Supplementary Table 3 QTLs detected for transpiration rate (Tr) and absolute transpiration (T) by PLABQTL CIM analysis. In VPD columns the average VPD between

7:30-10:30 a.m. (with suffix M) and 10:30 a.m.-2:30 p.m. (with suffix A) is presented. QTLs are shown for particular replications (suffix of trait name indicates day of

measurement in December 2009) and for replication based BLUPs means (indicated as BLUP suffix of the trait). The columns names further indicate the LG group and

maximum confidence interval of QTLs encompassed in particular column. The QTLs detected are presented as; LG group, peak position (percentage of phenotypic variation

explained by QTL; LOD). Red or blue colored font indicates that the positive effect comes from PRLT (tolerant) or H77 (sensitive) allele Trait name VPD QTL LG1 (126-134) LG2 (0-14) LG2 (100-122) LG2 (234-244) LG2 (250-278) LG2 (276-318) LG2 (310-324) LG3 (18-30) LG7 (78-84) LG7 (96-114)

TrA 18 4.10 none

TrA 19 3.19 none

TrA 21 3.14 2, 240 (2; 3.6)

TrA 22 4.05 2, 260 (6; 3.6)

TrA 23 4.22

TrA 24 4.50 2, 278 (6; 5.2) 2, 322 (13; 3.7)

TrA 28 3.66 none

TrA 29 2.04 7, 82 (7; 3.6)

TrA 31 2.82 2, 112 (11; 2.7)

TrA BLUP 3.53 none

TrM 18 2.62 none

TrM 19 0.89 2, 316 (1; 4.4) 3, 28 (1; 4.1)

TrM 21 0.89 2, 2 (15; 2.9) 2, 276 (7; 2.7)

TrM 22 1.78 2, 2 (14; 2.5)

TrM 23 2.19 2, 2 (26; 5.0) 2, 322 (16; 6.3)

TrM 24 2.53 2, 6 (16;3.8) 2, 262 (16; 4.2)

TrM 28 1.05 none

TrM 29 1.17 7, 102 (10; 2.7)

TrM 31 0.98 none

TrM BLUP 1.57 2, 260 (26; 7.8) 2, 314 (14; 3.6)

TM18 2.62 none

TM19 0.89 3, 28 (13; 3.7)

TM21 0.89 none

TM22 1.78 none

TM23 2.19 2, 254 (9; 4.5)

TM24 2.53 2, 254 (10; 4.0) 3, 22 (7; 3.8)

TM28 1.05 none

TM29 1.17 none

TM31 0.98 none

TM BLUP 1.57 2, 318 (8; 3.3) 7, 112 (5; 3.4)

TA18 4.10 none

TA19 3.19 3, 28 (10; 3.9)

TA21 3.14 1, 130 (1; 6.1 ) 7, 112 (9 ; 6.1)

TA22 4.05 none

TA23 4.22 none

TA24 4.50 none

TA28 3.66 none

TA29 2.04 none

TA31 2.82 none

TA BLUP 3.53 2,4 (18; 6.5) 7, 112 (5; 3.4)

Page 5: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

Supplementary Table 4 QTLs detected for Leaf dry weight (LDW), root dry weight (RDW), shoot dry weight (ShDW), stem dry weight (StDW), biomass dry weight

(BDW), leaf area (LA) specific leaf weight (SLW) and principal components (PCA 1, 2, 3) by PLABQTL CIM analysis. QTLs are shown for particular replications (suffix

of trait name indicates day of measurement in December 2009) and for replication based BLUPs (indicated as BLUP suffix of the trait). The columns names further indicate

the LG group and maximum confidence interval of QTLs encompassed in particular column. The QTLs detected are presented as; LG group, peak position (percentage of

variation explained by QTL; LOD). Red or blue colored font indicates that the positive effect comes from PRLT (tolerant) or H77 (sensitive) allele.

Trait name QTL LG1 (2-12) LG1

(16-24) LG1

(48-54) LG1 (72-106) LG1 (180-208) LG2 (0-14) LG2 (104-122) LG2 (200-246) LG2 (320-336) LG2 (310-318) LG4 (94-140) LG6

(10-14) LG6

(36-44) LG7

(0-32) LG7 (72-82) LG7 (106-132)

LDW18 2, 316 (8; 4.6)

LDW21 7, 112 (11; 3.0)

LDW23 2, 4 (14; 3,0)

LDW28 none

LDW31 1,0 (1; 4.5) 1, 76 (3; 3.9) 1, 200 (3; 4.7) 2, 110 (1; 9.0) 2, 230 (1; 6.0) 2, 322 (2; 5.0) 6, 14

(4; 4.7) 6, 40

(1; 3.7) 7, 0

(1; 4.2) 7,110 (2; 6.9)

LDW BLUP 1, 200 (3; 3.6) 2, 2 (15; 2.9) 2, 314 (4; 5.6) 7, 110 (28, 5.4)

RDW 23 none

RDW 28 none

RDW 31 none

RDW BLUP 2, 2 (12; 2.8)

ShDW 18 none

ShDW 21 7, 112 (14; 3.5)

ShDW 23 1, 186 (14; 2.6) 2, 2 (15; 3.8)

ShDW 28 none

ShDW 31 4, 96 (11; 3.8) 7, 110 (20; 4.1)

ShDW BLUP 2, 4 (22; 3.5) 7, 110 (13; 5.0)

StDW 18 2, 220 (8; 4.1)

StDW 21 1, 76 (6; 3.6) 2, 4 (18; 4.3) 7, 112 (8; 4.8)

StDW 23 none

StDW 28 1, 20

(16; 4.1) 1, 52

(6; 3.5) 4, 134

(13; 3.1) 7, 26

(12; 2.8)

StDW 31 1,8 (4; 4.3) 4, 96 (14; 3.9)

StDWBLUP 2, 4 (19; 4.2) 4, 116 (10; 2.5)

BDW 23 2, 2 (15; 3.3)

BDW 28 none

BDW 31 2, 0 (14; 2.7)

BDW BLUP 2, 2 (22; 5.5) 7, 110 (12; 3.0)

LA 18 7, 80 (9; 2.9)

LA 21 2, 0 (18; 4.5) 7, 108 (4; 3.5)

LA 23 1, 190 (13; 4.3) 2, 4 (17; 3.3)

LA 28 7, 74 (12; 2.9)

LA 31 4, 96 (16; 3.3) 7, 110 (15; 4.6)

LA BLUP 2, 4 (18; 3.9) 2, 204 (9; 4.2) 2, 242 (3; 3.7) 4, 96 (15; 3.1) 7, 110 (29; 8.5)

SLW 18 1, 100 (10; 2.8) 2, 204 (6; 3.0) 7, 76 (11; 3.9)

SLW 21 2, 2 (18; 3.7)

SLW 23 none

SLW 28 none

SLW 31 1, 166 (4; 3.6) 7, 78 (12; 4)

SLW BLUP 2, 204 (13; 2.9) 7, 78 (10; 3.4)

PC1 none

PC2 2, 330 (14; 3.6)

PC3 none

Page 6: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

Supplementary Table 5. Correlation analysis of the best unbiased linear predicted (BLUP) means of traits from suppl. Table

2. Numbers represent correlation coefficient with p<0.001 (***); p<0.01 (**); p<0.05 (*) and “ns” stands for non-significant

relation.

Trait Tr A BLUP LDW BLUP StDW BLUP ShDW BLUP LA BLUP SLW BLUP RDW BLUP BDW BLUP TA BLUP TM BLUP

Tr M BLUP 0.85 *** -0.45 *** -0.5*** -0.48*** -0.71*** 0.76*** -0.16 ns -0.39*** -0.40*** -0.015 ns

Tr A BLUP -0.43 *** -0.48*** -0.46*** -0.66*** 0.66*** -0.12ns -0.33*** -0.22* -0.16 ns

LDW BLUP 0.73*** 0.97*** 0.82*** -0.12ns 0.56*** 0.84*** 0.72*** 0.64***

StDW BLUP 0.86*** 0.71*** -0.28** 0.49*** 0.75*** 0.67*** 0.58***

ShDW BLUP 0.84*** -0.19* 0.57*** 0.87*** 0.73*** 0.64***

LA BLUP -0.62*** 0.48*** 0.78*** 0.70*** 0.51***

SLW BLUP -0.04ns -0.21* -0.28** 0.01ns

RDW BLUP 0.82*** 0.55*** 0.51***

BDW BLUP 0.69*** 0.58***

TA BLUP 0.78***

Page 7: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

Supplementary Table 6 Numerical output of principal component analysis (PCA) based on

BLUP means of investigated traits, i.e. transpiration rate (Tr), absolute transpiration (T), leaf dry

weight (LDW), root dry weight (RDW), shoot dry weight (ShDW), stem dry weight (StDW), biomass

dry weight (BDW), leaf area (LA) specific leaf weight (SLW). Traits with suffix M were measured

during 7:30-10:30 a.m. and traits with suffix A were measured during 10:30 a.m.-2:30 p.m. In the top

part of the table the standard deviation (SD), proportion of phenotypic variance (PV) and

cumulative PV for three major principal components (PC1, 2, 3) is shown. Bottom part of the

table shows the values of traits loadings in particular PC

Statistics PC 1 PC 2 PC 3

SD 2.565 1.481 0.813

PV 0.598 0.199 0.060

Cumulative PV 0.598 0.797 0.858

Loadings:

Trait name PC 1 PC 2 PC 3

TrM -0.249 -0.479 negligible

TrA -0.233 -0.455 negligible

LDW 0.351 -0.132 negligible

StDW 0.334 negligible negligible

ShDW 0.366 -0.112 negligible

LA 0.362 0.153 negligible

SLW -0.169 -0.518 negligible

RDW 0.254 -0.276 -0.632

BDW 0.347 -0.171 -0.386

TA 0.319 -0.161 0.37

TM 0.261 -0.329 0.544

Page 8: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

Supplementary Fig. 1. Maximum and minimum temperature to which the different experimental sets

were exposed during 14 days prior to their assessment for Tr and related traits.

0

5

10

15

20

25

30

35

40

1 2 3 4 5 6 7 8 9 10 11 12 13 1414 preceding days before harvest

Te

mp

era

ture

(oC

)

set 1

set 2

set 3

set 4

set 5

Page 9: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

Supplementary Fig.2. Visualization of approximate QTLs positions within the linkage groups of

minor importance (LG; chromosomes 3, 4, 5, and 6, letter a to d) consisting of SSR and DArT

markers and their positions in cM.

Xipes00950.0

PgPb103116.4

PgPb629713.8

PgPb822815.2

PgPb1042516.9

PgPb1240219.2

PgPb1123521.0

PgPb11957 PgPb1231023.1

PgPb11143 PgPb684525.9

PgPb744027.8

PgPb780028.2

Xipes016629.2

PgPb1079130.2

PgPb835730.7

PgPb1305133.1

PgPb630734.0

PgPb11647 Xpsmp207034.5

PgPb798336.0

PgPb675245.5

Xipes023350.3

PgPb1230250.8

Xctm1052.2

PgPb737954.6

Xpsmp221460.1

Xipes018068.9

PgPb659473.1

PgPb1019877.8

LG3

TrM19 (26-30)

ICMB841 positive allele for grain mass,

panicle harvest index, grain yield

and harvest index under drought

Bidinger et al 2007

ICMB841positive allele for

panicle harvest index and harvest index

under drought

Yadav et al 2004

863B positive allele for

dry stover yield

Nepolean et al 2006

TA19 (26-30)

TM19 (26-30)

TM24 (18-24)

TrA28 (68-76)

LG3, 28LG3, 28

Suppl. Figure 2a

Page 10: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

PgPb101840.0

PgPb113257.5

PgPb1171118.1

PgPb1316123.8

PgPb1029233.9

PgPb990341.0

PgPb663741.9

PgPb989450.2

PgPb978852.1

PgPb1000552.5

PgPb1103155.2

PgPb993359.8

PgPb1094663.6

PgPb623066.2

PgPb1074671.2

PgPb710172.1

PgPb791073.8

PgPb771179.9

PgPb1136790.9

PgPb1011094.8

PgPb795895.8

PgPb1260897.5

PgPb647898.1

PgPb13415100.1

Xipes0186101.5

PgPb6893102.4

PgPb9293103.8

Xicmp3029105.4

PgPb10768106.4

PgPb13178107.4

Xipes0066 PgPb7832

PgPb13377108.3

PgPb7642109.1

Xpsmp2084109.9

PgPb10141111.2

PgPb10598112.0

PgPb7545112.9

Xipes0076113.8

PgPb12205114.7

PgPb10552118.3

PgPb9450123.0

PgPb8656127.1

PgPb7528134.4

PgPb8208143.1

PgPb7311155.2

PgPb6639156.1

LG4

StDW31 (94-98)

ShDW31 (94-98)

LA31 (94-98)

LAreml (94-98)

H77 positive allele for flowering time,

stover yield and biomass yield

Yadav et al 2003

H77 positive allele for grain yield

Yadav et al 2003

StDWReml (112-120)

StDW28 (130-140)

LG4, 100

Suppl. Figure 2b

Page 11: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

PgPb92090.0

PgPb69323.3

PgPb130909.6

Xipes0157 PgPb7494

Xicmp3027 PgPb12052

13.1

PgPb1222817.1

PgPb1150222.5

PgPb817024.4

PgPb734727.1

PgPb1322929.4

Xipes009331.7

Xpsmp227434.6

PgPb1162842.3

PgPb1081644.9

PgPb839647.6

Xipes017549.2

Xpsmp207850.7

PgPb688651.6

PgPb1024467.4

PgPb1211376.8

PgPb983578.6

PgPb1255484.5

PgPb871992.5

Xpsmp223397.2

PgPb9343102.0

PgPb7865111.8

LG5

863B positive alleles for

grain yield, harvest index

ICMB 841 positive allele for

stover yield under drought

Yadav et al 2004

ICMB841 positive allele for

dry stover yield

Nepolean et al 2006

Suppl. Figure 2c

Page 12: Water saving traits co-map with a major terminal drought ...oar.icrisat.org/5772/2/Kholova et al suppl. material.pdf · Jana Kholová1, T. Nepolean2, C. Tom Hash1, A. Supriya 1,4,

PgPb130620.0

Xicmp30024.7

PgPb69476.2

PgPb708212.3

PgPb801813.7

PgPb5969 PgPb8664

PgPb10715

14.2

PgPb8306 PgPb913919.7

Xipes017620.2

PgPb1026421.1

PgPb1194721.6

PgPb1232222.5

PgPb9775 PgPb1076723.4

PgPb836826.5

PgPb1047030.4

PgPb10723 PgPb10580

Xipes007131.5

PgPb1311332.0

PgPb693137.0

PgPb891942.2

PgPb751644.0

PgPb923544.9

PgPb12466 Xicmp305046.9

Xipes008747.5

PgPb860148.0

PgPb893550.8

PgPb1316451.2

Xpsmp227054.1

PgPb1060364.0

PgPb11645 PgPb1156366.8

PgPb641669.4

PgPb989877.1

PgPb1139781.7

LG6

LDW31 (10-14)

PRLT positive allele for stover yield, flowering time

and grain number per panicle

H77 positive allele for panicle number

Yadav et al 2002

PRLT positive allele for stover yield, flowering time,

grains number in the panicle and biomass yield

H77 positive allele for panicle number and harvest

index (Yadav et al 2003)

ICMB841 positive allele for

stover yield,

863B positive alleles for

panicle harvest index

and harvest index under droughtYadav et al 2004

LDW31 (36-44)

LG6, 40

Suppl. Figure 2d