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Rice Science ›› 2018, Vol. 25 ›› Issue (1): 19-31.DOI: 10.1016/j.rsci.2017.11.001

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  • 收稿日期:2017-07-10 接受日期:2017-11-06 出版日期:2018-01-28 发布日期:2017-11-16

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. [J]. Rice Science, 2018, 25(1): 19-31.

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链接本文: http://www.ricesci.org/CN/10.1016/j.rsci.2017.11.001

               http://www.ricesci.org/CN/Y2018/V25/I1/19

图/表 8

Table 1 Introgression lines used.
Population No. of lines Introgression line
Population A 34 IL8S, IL10-1S, IL10-2S, IL10-3S, IL14S, IL14-3S, IL33S, IL53S, IL65S, IL70S, IL73S, IL75S, IL94S, IL96S, IL106S, IL126S, IL131S, IL137S, IL147S, IL150S, IL160S, IL164S, IL166S, IL175S, IL175-3S, IL175-5S, IL177S, IL205S, IL210S, IL212S, IL222S, IL230S, IL231S, IL248S
Swarna/O. nivara IRGC81848
Population B 21 IL3K, IL7K, IL13K, IL14K, IL33K, IL94K, IL106K, IL131K, IL137K, IL144K, IL145K, IL149K, IL150K, IL230K, IL231K, IL242K, IL246K, IL250K, IL251K, IL254K, IL262K
Swarna/O. nivara IRGC81832

Table 1 Introgression lines used.

Population No. of lines Introgression line
Population A 34 IL8S, IL10-1S, IL10-2S, IL10-3S, IL14S, IL14-3S, IL33S, IL53S, IL65S, IL70S, IL73S, IL75S, IL94S, IL96S, IL106S, IL126S, IL131S, IL137S, IL147S, IL150S, IL160S, IL164S, IL166S, IL175S, IL175-3S, IL175-5S, IL177S, IL205S, IL210S, IL212S, IL222S, IL230S, IL231S, IL248S
Swarna/O. nivara IRGC81848
Population B 21 IL3K, IL7K, IL13K, IL14K, IL33K, IL94K, IL106K, IL131K, IL137K, IL144K, IL145K, IL149K, IL150K, IL230K, IL231K, IL242K, IL246K, IL250K, IL251K, IL254K, IL262K
Swarna/O. nivara IRGC81832
Fig. 1. Graphical representation of 34 introgression lines (ILs) of population A (A) and 21 ILs of population B (B).Chr, Chromosome.Cyan color regions indicate recurrent parent (Swarna) genome, blue regions indicate donor parent (O. nivara) genome and pink regions indicate heterozygous segments.

Fig. 1. Graphical representation of 34 introgression lines (ILs) of population A (A) and 21 ILs of population B (B).Chr, Chromosome.Cyan color regions indicate recurrent parent (Swarna) genome, blue regions indicate donor parent (O. nivara) genome and pink regions indicate heterozygous segments.

Fig. 2. The maximum likelihood ΔK at K = 3, indicating the 55 introgression lines grouped into three sub-populations.

Fig. 2. The maximum likelihood ΔK at K = 3, indicating the 55 introgression lines grouped into three sub-populations.

Table 2 Loci associated with yield-related traits in populations A and B.
No. Marker Chr QTLs for yield-related traits a No. of ILs b No. Marker Chr QTLs for yield-related traits a No. of ILs b
PA PB PA PB
1 RM1 1 qrd1.2, qflw1.2, qgw1.1, qyld1.2, qmp1.1, qph1.1, qgw1.1 12 6 23 RM241 4 qkl4.1 1 5
2 RM84 1 qkl1.1, qgw1.1 4 2 24 RM185 4 qpl4.1, qkl4.1, qkw4.1 1 1
3 RM1220 1 qnpt1.1 9 0 25 RM348 4 qflw4.3 1 0
4 RM9 1 qbm1.1, qdth1.7, qph1.2, qnt1.2, qkw1.2 3 9 26 RM574 5 qnt5.1, qph5.1, qnt5.1, qgw5.2, qnp5.1 4 1
5 RM128 1 qph1.2, qnpt1.1 0 13 27 RM13 5 qnt5.1, qac5.1 1 0
6 RM226 1 qph1.1, qph1.2, qnt1.1, qyldp1.1, qph1.4, qnt1.4, qpl1.3, qgw1.7, qkw1.4 7 3 28 RM413 5 qph5.1, qnt5.1, qbm5.1 0 1
7 RM431 1 qnsb1.1, qph1.1, qnsp1.1, qnfg1.1, qph1.1, qnsp1.1, qnfg1.1, qkw1.4 3 2 29 RM204 6 qrd6.2 2 0
8 RM488 1 qph1.1, qsd1.5, qsd1.6, qflw1.5, qnsb1.1, qnsp1.1, qnfg1.1, qph1.1, qnpt1.1, qpl1.2, qgnp1.1, qnp1.2, qnsp1.1, qnfg1.1, qgw1.6, qkw1.3 11 4 30 RM454 6 qrd6.2 2 0
9 RM208 2 qnt2.3 0 4 31 RM30 6 qnpt6.1 1 3
10 RM250 2 qyld2.3, qdth2.5, qdff2.6, qdtm2.7, qflw2.3, qsf2.3, qsf2.4, qnsp2.1, qnfg2.1, qbm2.1, qyld2.1, qkl2.1, qwup2.1, qgnp2.1, qyldp2.1, qnt2.3, qnt2.2, qpl2.1, qpl2.2, qnsp2.1 9 2 32 RM125 7 qsd7.1, qsd7.2, qnpt7.1, qnpt7.2 1 0
11 RM166 2 qph2.1, qnsb2.1, qnsp2.1, qnfg2.1 3 0 33 RM214 7 qsd7.2, qsd7.3, qnpt7.2 1 0
12 RM3515 2 qrd2.2, qdth2.2, qdth2.3, qdff2.2, qdff2.3, qdtm2.2, qdtm2.3, qpw2.3, qnsb2.1, qyld2.1, qac2.1 6 0 34 RM223 8 qyld8.2, qyld8.3, qnt8.1, qnp8.1, qns8.1, qnsp8.1, qnfg8.1, qyldp8.1 1 1
13 RM3874 2 qdth2.3, qdff2.3, qdff2.4, qdtm2.3, qdtm2.4, qnpb2.1 6 0 35 RM38 8 qsd8.1, qnpt8.1, qsf8.1, qyld8.1 6 1
14 RM263 2 qgnp2.1, qyld2.1 0 4 36 RM256 8 qsd8.2, qnt8.2, qnp8.2, qnsp8.2, qgnp8.2, qyldp8.2 1 2
15 RM535 2 qph2.1, qdtm2.8, qbm2.2, qyld2.1, qwup2.1, qyld2.1 9 7 37 RM215 9 qpw9.1, qbm9.1 2 0
16 RM16 3 qplyd3.1 7 1 38 RM257 9 qsd9.2, qpl9.1, qnsp9.1, qnfg9.1, qyldp9.1 9 0
17 RM514 3 qnt3.3, qnp3.1, qnsp3.3, qgnp3.3, qyld3.3 0 1 39 RM434 9 qsd9.2, qyldp9.1 3 0
18 RM85 3 qrd3.2, qpw3.2, qnt3.3, qnp3.1, qnsp3.3, qgnp3.3, qyld3.3 6 9 40 RM209 11 qsd11.1, qrd11.2, qsf11.1, qpl11.1, qbm11.1, qyldp11.1, qyld11.1, qlbr11.1, qph11.1, qnt11.1, qsf11.1, qbm11.1, qasv11.1 4 1
19 RM517 3 qfll3.1, qnsp3.1, qnt3.1, qgnp3.1, qyldp3.1 21 8 41 RM254 11 qph11.2, qnpt11.1 3 0
20 RM7 3 qnt3.1, qnsp3.1, qgnp3.1, qyld3.1 0 2 42 RM519 12 qnfg12.1, qyldp12.1 1 14
21 RM551 4 qph4.1, qnsp4.1, qgw4.1, qyldp4.1 0 3 43 RM415 12 qklac12.1 0 2
22 RM261 4 qpw4.1, qpl4.1, qph4.2, qnsp4.2 1 3 44 RM19 12 qsd12.1, qsd12.2, qnt12.1, qnpt12.1, qflw12.1, qyld12.1, qlbr12.1, qwup12.1, qklac12.1, qasv12.1, qnt12.1, qnpt12.1, qklac12.1 7 2

Table 2 Loci associated with yield-related traits in populations A and B.

No. Marker Chr QTLs for yield-related traits a No. of ILs b No. Marker Chr QTLs for yield-related traits a No. of ILs b
PA PB PA PB
1 RM1 1 qrd1.2, qflw1.2, qgw1.1, qyld1.2, qmp1.1, qph1.1, qgw1.1 12 6 23 RM241 4 qkl4.1 1 5
2 RM84 1 qkl1.1, qgw1.1 4 2 24 RM185 4 qpl4.1, qkl4.1, qkw4.1 1 1
3 RM1220 1 qnpt1.1 9 0 25 RM348 4 qflw4.3 1 0
4 RM9 1 qbm1.1, qdth1.7, qph1.2, qnt1.2, qkw1.2 3 9 26 RM574 5 qnt5.1, qph5.1, qnt5.1, qgw5.2, qnp5.1 4 1
5 RM128 1 qph1.2, qnpt1.1 0 13 27 RM13 5 qnt5.1, qac5.1 1 0
6 RM226 1 qph1.1, qph1.2, qnt1.1, qyldp1.1, qph1.4, qnt1.4, qpl1.3, qgw1.7, qkw1.4 7 3 28 RM413 5 qph5.1, qnt5.1, qbm5.1 0 1
7 RM431 1 qnsb1.1, qph1.1, qnsp1.1, qnfg1.1, qph1.1, qnsp1.1, qnfg1.1, qkw1.4 3 2 29 RM204 6 qrd6.2 2 0
8 RM488 1 qph1.1, qsd1.5, qsd1.6, qflw1.5, qnsb1.1, qnsp1.1, qnfg1.1, qph1.1, qnpt1.1, qpl1.2, qgnp1.1, qnp1.2, qnsp1.1, qnfg1.1, qgw1.6, qkw1.3 11 4 30 RM454 6 qrd6.2 2 0
9 RM208 2 qnt2.3 0 4 31 RM30 6 qnpt6.1 1 3
10 RM250 2 qyld2.3, qdth2.5, qdff2.6, qdtm2.7, qflw2.3, qsf2.3, qsf2.4, qnsp2.1, qnfg2.1, qbm2.1, qyld2.1, qkl2.1, qwup2.1, qgnp2.1, qyldp2.1, qnt2.3, qnt2.2, qpl2.1, qpl2.2, qnsp2.1 9 2 32 RM125 7 qsd7.1, qsd7.2, qnpt7.1, qnpt7.2 1 0
11 RM166 2 qph2.1, qnsb2.1, qnsp2.1, qnfg2.1 3 0 33 RM214 7 qsd7.2, qsd7.3, qnpt7.2 1 0
12 RM3515 2 qrd2.2, qdth2.2, qdth2.3, qdff2.2, qdff2.3, qdtm2.2, qdtm2.3, qpw2.3, qnsb2.1, qyld2.1, qac2.1 6 0 34 RM223 8 qyld8.2, qyld8.3, qnt8.1, qnp8.1, qns8.1, qnsp8.1, qnfg8.1, qyldp8.1 1 1
13 RM3874 2 qdth2.3, qdff2.3, qdff2.4, qdtm2.3, qdtm2.4, qnpb2.1 6 0 35 RM38 8 qsd8.1, qnpt8.1, qsf8.1, qyld8.1 6 1
14 RM263 2 qgnp2.1, qyld2.1 0 4 36 RM256 8 qsd8.2, qnt8.2, qnp8.2, qnsp8.2, qgnp8.2, qyldp8.2 1 2
15 RM535 2 qph2.1, qdtm2.8, qbm2.2, qyld2.1, qwup2.1, qyld2.1 9 7 37 RM215 9 qpw9.1, qbm9.1 2 0
16 RM16 3 qplyd3.1 7 1 38 RM257 9 qsd9.2, qpl9.1, qnsp9.1, qnfg9.1, qyldp9.1 9 0
17 RM514 3 qnt3.3, qnp3.1, qnsp3.3, qgnp3.3, qyld3.3 0 1 39 RM434 9 qsd9.2, qyldp9.1 3 0
18 RM85 3 qrd3.2, qpw3.2, qnt3.3, qnp3.1, qnsp3.3, qgnp3.3, qyld3.3 6 9 40 RM209 11 qsd11.1, qrd11.2, qsf11.1, qpl11.1, qbm11.1, qyldp11.1, qyld11.1, qlbr11.1, qph11.1, qnt11.1, qsf11.1, qbm11.1, qasv11.1 4 1
19 RM517 3 qfll3.1, qnsp3.1, qnt3.1, qgnp3.1, qyldp3.1 21 8 41 RM254 11 qph11.2, qnpt11.1 3 0
20 RM7 3 qnt3.1, qnsp3.1, qgnp3.1, qyld3.1 0 2 42 RM519 12 qnfg12.1, qyldp12.1 1 14
21 RM551 4 qph4.1, qnsp4.1, qgw4.1, qyldp4.1 0 3 43 RM415 12 qklac12.1 0 2
22 RM261 4 qpw4.1, qpl4.1, qph4.2, qnsp4.2 1 3 44 RM19 12 qsd12.1, qsd12.2, qnt12.1, qnpt12.1, qflw12.1, qyld12.1, qlbr12.1, qwup12.1, qklac12.1, qasv12.1, qnt12.1, qnpt12.1, qklac12.1 7 2
Fig. 3. Population structure assigned all 55 introgression lines into 3 sub-populations based on their genotypic data using 103 simple sequence repeat markers.

Fig. 3. Population structure assigned all 55 introgression lines into 3 sub-populations based on their genotypic data using 103 simple sequence repeat markers.

Table 3 Analysis of variance (ANOVA) of different yield and yield-related traits in Swarna × O. nivara (BC2F6) introgression lines.
Trait df SS MS F P (> F)
Plant height 54 20 924.68 380.45 21.53 0.00***
No. of tillers per plant 54 491.43 8.94 3.47 0.00***
No. of productive tillers per plant 54 571.56 10.39 3.73 0.00***
Days to 50% flowering 54 9 955.43 181.01 10.13 0.00***
Yield per plant 54 1 612.37 29.32 2.41 0.00***
Aboveground biomass 54 3 576.81 65.03 1.61 0.04*
Total dry matter 54 8 867.11 161.22 2.13 0.00***
Harvest index 54 2 296.25 41.75 1.16 0.3

Table 3 Analysis of variance (ANOVA) of different yield and yield-related traits in Swarna × O. nivara (BC2F6) introgression lines.

Trait df SS MS F P (> F)
Plant height 54 20 924.68 380.45 21.53 0.00***
No. of tillers per plant 54 491.43 8.94 3.47 0.00***
No. of productive tillers per plant 54 571.56 10.39 3.73 0.00***
Days to 50% flowering 54 9 955.43 181.01 10.13 0.00***
Yield per plant 54 1 612.37 29.32 2.41 0.00***
Aboveground biomass 54 3 576.81 65.03 1.61 0.04*
Total dry matter 54 8 867.11 161.22 2.13 0.00***
Harvest index 54 2 296.25 41.75 1.16 0.3
Table 4 Correlation coefficients of yield and yield-related traits.
Trait Plant height NT NP DFF Yield per plant Aboveground biomass Total dry matter
NT 0.023 1
NP 0.011 0.974*** 1
DFF -0.028 -0.017 -0.009 1
Yield per plant 0.103 0.249 0.253 -0.109 1
Aboveground biomass 0.261 0.059 0.074 0.089 0.652*** 1
Total dry matter 0.23 0.125 0.149 0.004 0.826*** 0.943*** 1
Harvest index -0.122 0.168 0.193 -0.219 0.351* -0.350* -0.023

Table 4 Correlation coefficients of yield and yield-related traits.

Trait Plant height NT NP DFF Yield per plant Aboveground biomass Total dry matter
NT 0.023 1
NP 0.011 0.974*** 1
DFF -0.028 -0.017 -0.009 1
Yield per plant 0.103 0.249 0.253 -0.109 1
Aboveground biomass 0.261 0.059 0.074 0.089 0.652*** 1
Total dry matter 0.23 0.125 0.149 0.004 0.826*** 0.943*** 1
Harvest index -0.122 0.168 0.193 -0.219 0.351* -0.350* -0.023
Table 5 Details of high yielding introgression lines in multi-location trials of All India Coordinated Rice Improvement Project (AICRIP).
AICRIP trial Introgression line IET No. Designation Year of entry No. of locations Phenotypic performance of introgression lines
PH (cm) NT DFF (d) PN Yield (t/hm2)
IVT-IM IL7K IET21541 RPBio4918-7K 2009 31 92 16 125 300 4.74
IVT-IM IL248S a IET21542 RPBio4918-248S 2009 31 92 11 108 301 5.68
AVT1-IM 2010 29 100 12 107 302 5.05
AVT2-IM 2011 29 97 11 108 301 5.9
IVT-L IL65S IET22161 RPBio4918-65S 2010 19 130 13 114 283 4.39
IVT-L Swarna IET5656 NC 2010 19 100 12 116 290 4.37
NSASN IL166S IET21938 RPBio4918-166S 2010 12 93 12 107 265 2.24
NSASN IL250K IET22625 RPBio4918-250K 2011 17 96 13 112 259 2.62

Table 5 Details of high yielding introgression lines in multi-location trials of All India Coordinated Rice Improvement Project (AICRIP).

AICRIP trial Introgression line IET No. Designation Year of entry No. of locations Phenotypic performance of introgression lines
PH (cm) NT DFF (d) PN Yield (t/hm2)
IVT-IM IL7K IET21541 RPBio4918-7K 2009 31 92 16 125 300 4.74
IVT-IM IL248S a IET21542 RPBio4918-248S 2009 31 92 11 108 301 5.68
AVT1-IM 2010 29 100 12 107 302 5.05
AVT2-IM 2011 29 97 11 108 301 5.9
IVT-L IL65S IET22161 RPBio4918-65S 2010 19 130 13 114 283 4.39
IVT-L Swarna IET5656 NC 2010 19 100 12 116 290 4.37
NSASN IL166S IET21938 RPBio4918-166S 2010 12 93 12 107 265 2.24
NSASN IL250K IET22625 RPBio4918-250K 2011 17 96 13 112 259 2.62

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