Rice Science ›› 2017, Vol. 24 ›› Issue (3): 145-154.DOI: 10.1016/j.rsci.2016.08.009
收稿日期:
2016-04-09
接受日期:
2016-08-18
出版日期:
2017-05-28
发布日期:
2017-03-03
. [J]. Rice Science, 2017, 24(3): 145-154.
No. | Genotype | Parent | Date of heading (d) | Yield per | Aroma score a | No. | Genotype | Parent | Date of heading (d) | Yield per | Aroma score a |
---|---|---|---|---|---|---|---|---|---|---|---|
plant (g) | plant (g) | ||||||||||
1 | Kunkuni Joha-1 | IJR | 123 | 32.78 | 3 | 28 | Bor Joha | IJR | 125 | 42.64 | 1 |
2 | Kamini Joha | IJR | 131 | 41.487 | 4 | 29 | Bhugri Joha | IJR | 131 | 43.51 | 3 |
3 | Ronga Joha-2 | IJR | 131 | 47.81 | 3 | 30 | Bhaboli Joha | IJR | 131 | 36.873 | 4 |
4 | Tulsi Joha | IJR | 132 | 39.88 | 2 | 31 | Boga Joha-1 | IJR | 120 | 21.3 | 1 |
5 | Monipuri Joha-2 | IJR | 132 | 60.61 | 3 | 32 | Kharika Joha | IJR | 121 | 44.467 | 3 |
6 | Kon Joha-3 | IJR | 129 | 36.103 | 3 | 33 | Koli Joha-2 | IJR | 120 | 21.117 | 1 |
7 | Kola Joha-2 | IJR | 123 | 51.923 | 4 | 34 | Siali Joha | IJR | 123 | 42.033 | 1 |
8 | Konbogi Joha | IJR | 129 | 41.94 | 4 | 35 | Kunkuni Joha-2 | IJR | 120 | 36.047 | 4 |
9 | Goalporia Joha-2 | IJR | 127 | 47.763 | 3 | 36 | Maniki Madhuri Joha | IJR | 118 | 32.48 | 2 |
10 | Joha | IJR | 124 | 24.06 | 3 | 37 | Monipuri Joha-1 | IJR | 120 | 35.147 | 1 |
11 | Koli Joha | IJR | 120 | 36.643 | 3 | 38 | Kolajoha new | IJR | 120 | 30.33 | 1 |
12 | Joha Bora | IJR | 127 | 53.51 | 3 | 39 | Jeera Joha | IJR | 120 | 22.56 | 3 |
13 | Kon Joha-1 | IJR | 120 | 38.56 | 4 | 40 | Kon Joha | IJR | 120 | 34.7 | 1 |
14 | Ronga Joha-1 | IJR | 122 | 31.92 | 3 | 41 | Keteki Joha | H | 136 | 21.993 | 3 |
15 | Kola Joha-1 | IJR | 120 | 39.807 | 2 | 42 | NDR6330 | B | 120 | 20.807 | 3 |
16 | Goalporia Joha-1 | IJR | 127 | 42.88 | 3 | 43 | Dehradun Basmati Selection-13 | D | 110 | 19.307 | 1 |
17 | Chufon Joha | IJR | 128 | 35.51 | 3 | 44 | 13-Selection Kamal | L | 90 | 18.85 | 3 |
18 | Cheniguti Joha | IJR | 131 | 31.817 | 4 | 45 | 15-Selection Kamal | L | 86 | 24.97 | 3 |
19 | Bor Sal Joha | IJR | 122 | 38.573 | 2 | 46 | Bishnubhog | PV | 130 | 29.793 | 1 |
20 | Boga Tulsi Joha | IJR | 121 | 24.57 | 4 | 47 | Tulsi Phool | PV | 131 | 24.43 | 2 |
21 | Boga Joha | IJR | 121 | 42.843 | 2 | 48 | Kala Namak | PV | 117 | 46.997 | 1 |
22 | Bengoli Joha | IJR | 122 | 37.06 | 2 | 49 | Indrobhog | PV | 120 | 17.817 | 2 |
23 | Badshabhog | IJR | 119 | 21.387 | 2 | 50 | Jowar Pool | PV | 124 | 27.98 | 4 |
24 | Arab Joha | IJR | 133 | 25.05 | 3 | 51 | Kalijeera | PV | 128 | 21.357 | 2 |
25 | Bokul Joha | IJR | 119 | 41.663 | 1 | 52 | Harinarayan | PV | 128 | 29.68 | 2 |
26 | Boga Maniki Modhuri | IJR | 120 | 28.78 | 3 | 53 | Saheb Sali | PV | 120 | 41.02 | 3 |
27 | Bogi Joha | IJR | 100 | 37.055 | 1 | 54 | Ranjit | NH | 128 | 24.614 | 1 |
IJR, Indigenous Joha rice; H, High-yielding aromatic rice of Assam developed from Savitri × Badshabhog; B, Selection from Bishnuparag; D, Selection from Dehradun Basmati; L, Selection from local Kamal; PV, Pure line variety; NH, Non-aromatic high-yielding variety of Assam developed from Pankajb × Mahsuri. Nos. 1-40 are Joha aromatic rice accessions, and Nos. 41-54 are Joha non-aromatic rice accessions. | |||||||||||
a Based on |
Table 1 Genotypes used in this study.
No. | Genotype | Parent | Date of heading (d) | Yield per | Aroma score a | No. | Genotype | Parent | Date of heading (d) | Yield per | Aroma score a |
---|---|---|---|---|---|---|---|---|---|---|---|
plant (g) | plant (g) | ||||||||||
1 | Kunkuni Joha-1 | IJR | 123 | 32.78 | 3 | 28 | Bor Joha | IJR | 125 | 42.64 | 1 |
2 | Kamini Joha | IJR | 131 | 41.487 | 4 | 29 | Bhugri Joha | IJR | 131 | 43.51 | 3 |
3 | Ronga Joha-2 | IJR | 131 | 47.81 | 3 | 30 | Bhaboli Joha | IJR | 131 | 36.873 | 4 |
4 | Tulsi Joha | IJR | 132 | 39.88 | 2 | 31 | Boga Joha-1 | IJR | 120 | 21.3 | 1 |
5 | Monipuri Joha-2 | IJR | 132 | 60.61 | 3 | 32 | Kharika Joha | IJR | 121 | 44.467 | 3 |
6 | Kon Joha-3 | IJR | 129 | 36.103 | 3 | 33 | Koli Joha-2 | IJR | 120 | 21.117 | 1 |
7 | Kola Joha-2 | IJR | 123 | 51.923 | 4 | 34 | Siali Joha | IJR | 123 | 42.033 | 1 |
8 | Konbogi Joha | IJR | 129 | 41.94 | 4 | 35 | Kunkuni Joha-2 | IJR | 120 | 36.047 | 4 |
9 | Goalporia Joha-2 | IJR | 127 | 47.763 | 3 | 36 | Maniki Madhuri Joha | IJR | 118 | 32.48 | 2 |
10 | Joha | IJR | 124 | 24.06 | 3 | 37 | Monipuri Joha-1 | IJR | 120 | 35.147 | 1 |
11 | Koli Joha | IJR | 120 | 36.643 | 3 | 38 | Kolajoha new | IJR | 120 | 30.33 | 1 |
12 | Joha Bora | IJR | 127 | 53.51 | 3 | 39 | Jeera Joha | IJR | 120 | 22.56 | 3 |
13 | Kon Joha-1 | IJR | 120 | 38.56 | 4 | 40 | Kon Joha | IJR | 120 | 34.7 | 1 |
14 | Ronga Joha-1 | IJR | 122 | 31.92 | 3 | 41 | Keteki Joha | H | 136 | 21.993 | 3 |
15 | Kola Joha-1 | IJR | 120 | 39.807 | 2 | 42 | NDR6330 | B | 120 | 20.807 | 3 |
16 | Goalporia Joha-1 | IJR | 127 | 42.88 | 3 | 43 | Dehradun Basmati Selection-13 | D | 110 | 19.307 | 1 |
17 | Chufon Joha | IJR | 128 | 35.51 | 3 | 44 | 13-Selection Kamal | L | 90 | 18.85 | 3 |
18 | Cheniguti Joha | IJR | 131 | 31.817 | 4 | 45 | 15-Selection Kamal | L | 86 | 24.97 | 3 |
19 | Bor Sal Joha | IJR | 122 | 38.573 | 2 | 46 | Bishnubhog | PV | 130 | 29.793 | 1 |
20 | Boga Tulsi Joha | IJR | 121 | 24.57 | 4 | 47 | Tulsi Phool | PV | 131 | 24.43 | 2 |
21 | Boga Joha | IJR | 121 | 42.843 | 2 | 48 | Kala Namak | PV | 117 | 46.997 | 1 |
22 | Bengoli Joha | IJR | 122 | 37.06 | 2 | 49 | Indrobhog | PV | 120 | 17.817 | 2 |
23 | Badshabhog | IJR | 119 | 21.387 | 2 | 50 | Jowar Pool | PV | 124 | 27.98 | 4 |
24 | Arab Joha | IJR | 133 | 25.05 | 3 | 51 | Kalijeera | PV | 128 | 21.357 | 2 |
25 | Bokul Joha | IJR | 119 | 41.663 | 1 | 52 | Harinarayan | PV | 128 | 29.68 | 2 |
26 | Boga Maniki Modhuri | IJR | 120 | 28.78 | 3 | 53 | Saheb Sali | PV | 120 | 41.02 | 3 |
27 | Bogi Joha | IJR | 100 | 37.055 | 1 | 54 | Ranjit | NH | 128 | 24.614 | 1 |
IJR, Indigenous Joha rice; H, High-yielding aromatic rice of Assam developed from Savitri × Badshabhog; B, Selection from Bishnuparag; D, Selection from Dehradun Basmati; L, Selection from local Kamal; PV, Pure line variety; NH, Non-aromatic high-yielding variety of Assam developed from Pankajb × Mahsuri. Nos. 1-40 are Joha aromatic rice accessions, and Nos. 41-54 are Joha non-aromatic rice accessions. | |||||||||||
a Based on |
Character | Range | Mean ± SD | PCV (%) | GCV (%) | h2 (%) | AGA (%) |
---|---|---|---|---|---|---|
LLB (mm) | 36.80-81.00 | 54.70 ± 0.44 | 14.64 | 14.57 | 99.09 | 29.88 |
WLB (mm) | 0.70-1.41 | 1.12 ± 0.04 | 14.69 | 13.43 | 83.61 | 25.3 |
PH (cm) | 90.77-182.33 | 142.37 ± 0.85 | 12.64 | 12.6 | 99.33 | 25.87 |
PL (cm) | 18.77-38.53 | 28.89 ± 0.41 | 13.13 | 12.89 | 96.42 | 26.08 |
PPP | 7.00-25.00 | 15.13 ± 0.77 | 31.64 | 30.38 | 92.23 | 60.08 |
DH (d) | 86.00-136.00 | 122.24 ± 0.01 | 7.49 | 7.47 | 99.98 | 15.42 |
GPN | 69.00-272.33 | 161.55 ± 15.97 | 27.44 | 21.44 | 61.07 | 34.51 |
GL (mm) | 5.17-10.03 | 7.62 ± 0.19 | 14.26 | 13.6 | 91.03 | 26.73 |
GW (mm) | 1.93-4.63 | 2.63 ± 0.10 | 11.17 | 10.98 | 87.26 | 34.03 |
RLW | 1.72-5.01 | 2.99 ± 0.13 | 23.99 | 22.81 | 90.42 | 44.69 |
BGL (mm) | 4.00-7.47 | 5.71 ± 0.19 | 17.38 | 16.41 | 89.11 | 31.9 |
BGW (mm) | 1.50-4.00 | 2.14 ± 0.08 | 18.81 | 17.57 | 87.32 | 33.83 |
RBLW | 1.50-4.67 | 2.75 ± 0.12 | 25.63 | 24.56 | 91.85 | 48.5 |
TGW (g) | 9.407-26.998 | 14.984 ± 0.118 | 28.49 | 28.45 | 99.77 | 58.55 |
Yield per plant (g) | 17.817-60.610 | 34.619 ± 3.856 | 34.24 | 28.28 | 68.25 | 48.13 |
LLB, Length of leaf blade; WLB, Width of leaf blade; PH, Plant height; PL, Panicle length; PPP, Number of panicles per plant; DH, Date of heading; GPN, Number of grains per panicle; GL, Grain length; GW, Grain width; RLW, Ratio of grain length/width; BGL, Brown grain length; BGW, Brown grain width; RBLW, Ratio of brown grain length/width; TGW, 1000-grain weight; PCV, Phenotypic coefficient of variation; GCV, Genotypic coefficient of variation; h2, Broad-sense heritability; AGA, Average genetic advance. |
Table 2 Genetic variations among aromatic rice accessions.
Character | Range | Mean ± SD | PCV (%) | GCV (%) | h2 (%) | AGA (%) |
---|---|---|---|---|---|---|
LLB (mm) | 36.80-81.00 | 54.70 ± 0.44 | 14.64 | 14.57 | 99.09 | 29.88 |
WLB (mm) | 0.70-1.41 | 1.12 ± 0.04 | 14.69 | 13.43 | 83.61 | 25.3 |
PH (cm) | 90.77-182.33 | 142.37 ± 0.85 | 12.64 | 12.6 | 99.33 | 25.87 |
PL (cm) | 18.77-38.53 | 28.89 ± 0.41 | 13.13 | 12.89 | 96.42 | 26.08 |
PPP | 7.00-25.00 | 15.13 ± 0.77 | 31.64 | 30.38 | 92.23 | 60.08 |
DH (d) | 86.00-136.00 | 122.24 ± 0.01 | 7.49 | 7.47 | 99.98 | 15.42 |
GPN | 69.00-272.33 | 161.55 ± 15.97 | 27.44 | 21.44 | 61.07 | 34.51 |
GL (mm) | 5.17-10.03 | 7.62 ± 0.19 | 14.26 | 13.6 | 91.03 | 26.73 |
GW (mm) | 1.93-4.63 | 2.63 ± 0.10 | 11.17 | 10.98 | 87.26 | 34.03 |
RLW | 1.72-5.01 | 2.99 ± 0.13 | 23.99 | 22.81 | 90.42 | 44.69 |
BGL (mm) | 4.00-7.47 | 5.71 ± 0.19 | 17.38 | 16.41 | 89.11 | 31.9 |
BGW (mm) | 1.50-4.00 | 2.14 ± 0.08 | 18.81 | 17.57 | 87.32 | 33.83 |
RBLW | 1.50-4.67 | 2.75 ± 0.12 | 25.63 | 24.56 | 91.85 | 48.5 |
TGW (g) | 9.407-26.998 | 14.984 ± 0.118 | 28.49 | 28.45 | 99.77 | 58.55 |
Yield per plant (g) | 17.817-60.610 | 34.619 ± 3.856 | 34.24 | 28.28 | 68.25 | 48.13 |
LLB, Length of leaf blade; WLB, Width of leaf blade; PH, Plant height; PL, Panicle length; PPP, Number of panicles per plant; DH, Date of heading; GPN, Number of grains per panicle; GL, Grain length; GW, Grain width; RLW, Ratio of grain length/width; BGL, Brown grain length; BGW, Brown grain width; RBLW, Ratio of brown grain length/width; TGW, 1000-grain weight; PCV, Phenotypic coefficient of variation; GCV, Genotypic coefficient of variation; h2, Broad-sense heritability; AGA, Average genetic advance. |
Trait | Marker | Chromosome | P value | R2 (%) | Previously identified |
---|---|---|---|---|---|
Aroma | RM214 | 7 | 0.00231 | 19.61 | Novel |
RM23120 | 8 | 0.0017 | 19.37 | ||
RM152 | 8 | 0.003 | 18.53 | ||
RM102 | 10 | 0.00429 | 17.71 | Novel | |
1000-grain weight | RM3 | 6 | 0.00341 | 25 | Novel |
RM259 | 7 | 0.0041 | 24.37 | Novel | |
RM215 | 9 | 0.00247 | 14.71 | Novel | |
RM19 | 12 | 0.00443 | 21.86 | Novel | |
Brown grain length | RM342A | 8 | 0.00304 | 17.81 | |
Ratio of grain length/width | RM346 | 7 | 0.00152 | 18.44 | Novel |
Number of grains per panicle | RM105 | 9 | 0.00382 | 23.82 | Novel |
Plant height | RM174 | 2 | 0.00063 | 21.4 | Novel |
RM138 | 2 | 0.00335 | 16.25 | Novel | |
RM214 | 7 | 0.00471 | 19.36 | Novel | |
RM270 | 12 | 0.00468 | 14.59 | Novel | |
Panicle length | RM228 | 2 | 0.00176 | 23.22 | Novel |
Number of panicles per plant | RM251 | 3 | 0.0001 | 31.63 | Novel |
Date of heading | RM218 | 3 | 0.000001 | 43.75 | Novel |
RM251 | 3 | 0.0004 | 27.53 | Novel | |
RM267 | 5 | 0.000031 | 42.57 | Novel | |
RM346 | 7 | 0.000008 | 38.61 | Novel | |
RM337 | 8 | 0.00183 | 23.11 | Novel | |
Aro7 | 8 | 0.00381 | 21.32 | ||
RM171 | 10 | 0.0092 | 17.75 | Novel | |
RM270 | 12 | 0.00031 | 23.51 | Novel | |
Yield per plant | RM138 | 2 | 0.00089 | 20.33 | Novel |
RM174 | 2 | 0.04757 | 13.67 | Novel | |
RM251 | 3 | 0.0015 | 23.74 | Novel | |
RM16 | 3 | 0.00324 | 13.81 | Novel | |
R2, Percentage of the total variation explained. |
Table 3 Significant marker-trait association identified in 54 rice accessions.
Trait | Marker | Chromosome | P value | R2 (%) | Previously identified |
---|---|---|---|---|---|
Aroma | RM214 | 7 | 0.00231 | 19.61 | Novel |
RM23120 | 8 | 0.0017 | 19.37 | ||
RM152 | 8 | 0.003 | 18.53 | ||
RM102 | 10 | 0.00429 | 17.71 | Novel | |
1000-grain weight | RM3 | 6 | 0.00341 | 25 | Novel |
RM259 | 7 | 0.0041 | 24.37 | Novel | |
RM215 | 9 | 0.00247 | 14.71 | Novel | |
RM19 | 12 | 0.00443 | 21.86 | Novel | |
Brown grain length | RM342A | 8 | 0.00304 | 17.81 | |
Ratio of grain length/width | RM346 | 7 | 0.00152 | 18.44 | Novel |
Number of grains per panicle | RM105 | 9 | 0.00382 | 23.82 | Novel |
Plant height | RM174 | 2 | 0.00063 | 21.4 | Novel |
RM138 | 2 | 0.00335 | 16.25 | Novel | |
RM214 | 7 | 0.00471 | 19.36 | Novel | |
RM270 | 12 | 0.00468 | 14.59 | Novel | |
Panicle length | RM228 | 2 | 0.00176 | 23.22 | Novel |
Number of panicles per plant | RM251 | 3 | 0.0001 | 31.63 | Novel |
Date of heading | RM218 | 3 | 0.000001 | 43.75 | Novel |
RM251 | 3 | 0.0004 | 27.53 | Novel | |
RM267 | 5 | 0.000031 | 42.57 | Novel | |
RM346 | 7 | 0.000008 | 38.61 | Novel | |
RM337 | 8 | 0.00183 | 23.11 | Novel | |
Aro7 | 8 | 0.00381 | 21.32 | ||
RM171 | 10 | 0.0092 | 17.75 | Novel | |
RM270 | 12 | 0.00031 | 23.51 | Novel | |
Yield per plant | RM138 | 2 | 0.00089 | 20.33 | Novel |
RM174 | 2 | 0.04757 | 13.67 | Novel | |
RM251 | 3 | 0.0015 | 23.74 | Novel | |
RM16 | 3 | 0.00324 | 13.81 | Novel | |
R2, Percentage of the total variation explained. |
1 | Ahmed N, Mir J I, Mir R R, Rather N A, Rashid R, Wani S H, Shafi W, Mir H, Sheikh M A.2012. SSR and RAPD analysis of genetic diversity in walnut (Juglans regia L.) genotypes from Jammu and Kashmir, India. Physiol Mol Biol Plants, 18(2): 149-156. |
2 | Allard R W.1992. Predictive methods for germplasm identification. In: Stalker H T, Murphy J P. Plant Breeding in the 1990s. Wallingford Oxon, UK, CAB International: 119-146. |
3 | Amarawathi Y, Singh R, Singh A K, Singh V P, Mohapatra T, Sharma T R, Singh N K.2008. Mapping of quantitative trait loci for basmati quality traits in rice (Oryza sativa L.). Mol Breeding, 21(1): 49-65. |
4 | Bai X F, Luo L J, Yan W H, Kovi M R, Zhan W, Xing Y Z.2010. Genetic dissection of rice grain shape using a recombinant inbred line population derived from two contrasting parents and fine mapping a pleiotropic quantitative trait locusqGL7. BMC Genet, 11: 16. |
5 | Besnier F, Glover K A.2013. Parallel structure: A R package to distribute parallel runs of the population genetics program structure on multi-core computers.PLoS One, 8: e70651. |
6 | Bian J M, He H H, Shi H, Zhu C L, Peng X S, Li C J, Fu J R, He X P, Chen X R, Hu L R, Ouyang L J.2013. Dynamic QTL detection and analysis of tiller number before and after heading in japonica rice.Aust J Crop Sci, 7(8): 1189-1197. |
7 | Blair M W, McCouch S R.1997. Microsatellite and sequenced- tagged site markers diagnostic for the rice bacterial leaf blight resistance genexa-5. Theor Appl Genet, 95: 174-184. |
8 | Bradbury L M T, Henry R J, Jin Q, Reinke R F, Waters D L.2005. A perfect marker for fragrance genotyping in rice.Mol Breeding, 16(4): 279-283. |
9 | Brondani C, Rangel P H N, Brondani R P V, Ferreira M E.2002. QTL mapping and introgression of yield-related traits fromOryza glumaepatula to cultivated rice(Oryza sativa) using microsatellite markers. Theor Appl Genet, 104(6): 1192-1203. |
10 | Das A, Kesari T V, Rangan L.2010. Aromatic Joha rice of Assam: A review.Agric Rev, 31(1): 1-10. |
11 | Earl D, Bradnam K, St John J, Darling A, Lin D, Fass J, Yu H O, Buffalo V, Zerbino D R, Diekhans M, Nguyen N, Ariyaratne P N, Sung W K, Ning Z M, Haimel M, Simpson J T, Fonseca N A, Birol I, Docking T R, Ho I Y, Rokhsar D S, Chikhi R, Lavenier D, Chapuis G, Naquin D, Maillet N, Schatz M C, Kelley D R, Phillippy A M, Koren S, Yang S P, Wu W, Chou W C, Srivastava A, Shaw T I, Ruby J G, Skewes-Cox P, Betegon M, Dimon M T, Solovyev V, Seledtsov I, Kosarev P, Vorobyev D, Ramirez Gonzalez R, Leggett R, MacLean D, Xia F F, Luo R B, Li Z Y, Xie Y L, Liu B H, Gnerre S, MacCallum I, Przybylski D, Ribeiro F J, Yin S Y, Sharpe T, Hall G, Kersey P J, Durbin R, Jackman S D, Chapman J A, Huang X Q, DeRisi J L, Caccamo M, Li Y G, Jaffe D B, Green R E, Haussler D, Korf I, Paten B.2011. Assemblathon 1: A competitive assessment of de novo short read assembly methods.Genome Res, 21(12): 2224-2241. |
12 | Evanno G, Regnaut S, Goudet J.2005. Detecting the number of clusters of individuals using the software STRUCTURE: A simulation study.Mol Ecol, 14: 2611-2620. |
13 | Falush D, Stephens M, Pritchard J K.2003. Inference of population structure using multilocus genotype data: Linked loci and correlated allele frequencies.Genetics, 164(4): 1567-1587. |
14 | Garris A J, Tai T H, Coburn J, Kresovich S, McCouch S.2005. Genetic structure and diversity inOryza sativa L. Genetics, 169(3): 1631-1638. |
15 | Grist D.1983. Rice: Longman. New York, USA. |
16 | Johanson H W, Robinson H F, Comstock R E.1955. Estimates of genetic and environmental variability in soybean.Agron J, 47: 314-318. |
17 | Joshi S P, Gupta V S, Aggarwal R K, Ranjekar P K, Brar D S.2000. Genetic diversity and phylogenetic relationship as revealed by inter simple sequence repeat (ISSR) polymorphism in the genusOryza. Theor Appl Genet, 100(8): 1311-1320. |
18 | Kaw R N, Aquino R C, Moon H P, Yae J D, Haq N.1999. Variability and interrelations in rice under cold stress environments.Oryza, 36(1): 1-4. |
19 | Liu G F, Yang J, Xu H M, Hayat Y, Zhu J.2008. Genetic analysis of grain yield conditioned on its component traits in rice (Oryza sativa L.). Aust J Agric Res, 59(2): 189-195. |
20 | Marri P R, Sarla N, Reddy L V, Siddiq E A.2005. Identification and mapping of yield-related QTL from an Indian accession ofOryza rufipogon. BMC Genet, 6(1): 33. |
21 | Moncada P, Martínez C P, Borrero J, Chatel M, Gauch Jr H, Guimaraes E, Tohme J, McCouch S R.2001. Quantitative trait loci for yield and yield components in anOryza sativa × Oryza rufipogon BC2F2 population evaluated in an upland environment. Theor Appl Genet, 102(1): 41-52. |
22 | Nachimuthu V V, Muthurajan R, Duraialaguraja S, Sivakami R, Pandian B A, Ponniah G, Gunasekaran K, Swaminathan M, Suji K K, Sabariappan R.2015. Analysis of population structure and genetic diversity in rice germplasm using SSR markers: An initiative towards association mapping of agronomic traits inOryza sativa. Rice, 8: 30. |
23 | Nei M.1973. Analysis of gene diversity in subdivided populations.Proc Natl Acad Sci USA, 70(12): 3321-3323. |
24 | Ni J J, Colowit P M, Mackill D J.2002. Evaluation of genetic diversity in rice sub-species using microsatellite markers.Crop Sci, 42(2): 601-607. |
25 | Parikh M, Motiramani N K, Rastogi N K, Sharma B.2012. Agro-morphological characterization and assessment of variability in aromatic rice germplasm.Bangl J Agric Res, 37(1): 1-8. |
26 | Plaschke J, Ganal M W, Roder M S.1995. Detection of genetic diversity in closely related bread wheat using microsatellite markers.Theor Appl Genet, 91(6): 1001-1007. |
27 | Pritchard J K, Stephens M, Donnelly P.2000. Inference of population structure using multilocus genotype data.Genetics, 155: 945-959. |
28 | Rabiei B, Valizadeh M, Ghareyazie B, Moghaddam M, Ali A J.2004. Identification of QTLs for rice grain size and shape of Iranian cultivars using SSR markers.Euphytica, 137(3): 325-332. |
29 | Ram S G, Thiruvengadam V, Vinod K K.2007. Genetic diversity among cultivars, landraces and wild relatives of rice as revealed by microsatellite markers.J Appl Genet, 48(4): 337-345. |
30 | Rathi S, Yadav R N S, Sarma R N.2010. Variability in grain quality characters of upland rice of Assam, India.Rice Sci, 17(4): 330-333. |
31 | Rathi S, Yadav R N S, Pathak K, Sarma R N.2014. Genetic diversity in upland rice of Assam detected by SSR markers.Ind J Genet, 74(2): 238-242. |
32 | Rohlf F.1998. Taxonomy, NTSYS-pc Numerical, Multivariate Analysis System. New York, USA: Exeter Software, Applied Biostatistics Inc. |
33 | Roy S, Banerjee A, Mawkhlieng B, Misra A K, Pattanayak A, Harish G D, Singh S K, Ngachan S V, Bansal K C.2015. Genetic diversity and population structure in aromatic and quality rice (Oryza sativa L.) landraces from North-Eastern India. PLoS One, 10(6): e0129607. |
34 | Sakthivel K, Sundaram R M, Rani N S, Balachandran S M, Neereja C N.2009. Genetic and molecular basis of fragrance in rice.Biotechn Adv, 27(4): 468-473. |
35 | Samal K C, Rout G R, Das S R.2014. Study of genetic divergence of indigenous aromatic rice (Oryza sativa L.): Potentials and consequences of on farm management in traditional farming. Int J Agric Sci, 4(4): 176-189. |
36 | Sandhu N, Jain S, Kumar A, Mehla B S, Jain R.2013. Genetic variation, linkage mapping of QTL and correlation studies for yield, root, and agronomic traits for aerobic adaptation.BMC Genet, 14: 4. |
37 | Shenoy V V, Kalagudi G M.2004. Amplified fragment length polymorphism in select specialty rice of India. New directions for a diverse planet. Proceedings of the 4th International Crop Science Congress, Brisbane, Australia. |
38 | Sneath P H, Sokal R R.1973. Numerical Taxonomy: The Principles and Practice of Numerical Classification. W H Freeman and Company, San Fransisco, USA. |
39 | Sood B C, Siddiq E A.1978. A rapid technique for scent determination in rice.Ind J Genet Plant Breeding, 38(2): 268-275. |
40 | Sun S X, Gao F Y, Lu X J, Wu X J, Wang X D, Ren G J, Luo H.2008. Genetic analysis and gene fine mapping of aroma in rice (Oryza sativa L. Cyperales, Poaceae). Genet Mol Biol, 31(2): 532-538. |
41 | Temnykh S, Park W D, Ayres N, Cartinhour S, Hauck N, Lipovich L, Cho Y G, McCouch S R.2000. Mapping and genome organization of microsatellites in rice (Oryza sativa L.). Theor Appl Genet, 100(5): 697-712. |
42 | Temnykh S, DeClerck G, Lukashova A, Lipovich L, Cartinhour S, McCouch S.2001. Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): Fequency, length variation, transposon associations, and genetic marker potential. Genome Res, 11: 1441-1452. |
43 | Thomson M J, Tai T H, McClung A M, Lai X H, Hinga M E, Lobos K B, Xu Y, Martinez C P, McCouch S R.2003. Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population betweenOryza rufipogon and the Oryza sativa cultivar Jefferson. Theor Appl Genet, 107(3): 479-493. |
44 | Travis A J, Norton G J, Datta S, Sarma R, Dasgupta T, Savio F L, Macaulay M, Hedley P E, McNally K, Sumon M H, Islam M R, Price A H.2015. Assessing the genetic diversity of rice originating from Bangladesh, Assam and West Bengal.Rice, 8: 35. |
45 | Tuwar A K, Singh S K, Sharma A, Bhati P K.2013. Appraisal of genetic variability for yield and its component characters in rice (Oryza sativa L.). Biolofe, 1(3): 84-89. |
46 | Vhora Z, Trivedi R V, Chakraborty S, Ravikiran R, Sasidharan N.2013. Molecular studies of aromatic and non aromatic rice (Oryza sativa L.) genotypes for quality traits using microsatellite markers. Biosacn, 8(2): 359-362. |
47 | Virk P S, Ford-Lloyd B V, Jackson M T, Newbury H J.1995. Use of RAPD for the study of diversity within plant germplasm collections.Heredity, 74: 170-179. |
48 | Yoon D B, Kang K H, Kim H J, Ju H G, Kwon S J, Suh J P, Jeong O Y, Ahn S N.2006. Mapping quantitative trait loci for yield components and morphological traits in an advanced backcross population betweenOryza grandiglumis and the O. sativa japonica cultivar Hwaseongbyeo. Theor Appl Genet, 112: 1052-1062. |
49 | Yu J M, Pressoir G, Briggs W H, Bi I V, Yamasaki M, Doebley J F, McMullen M D, Gaut B S, Nielsen D M, Holland J B, Kresovich S, Buckler E S.2006. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness.Nat Genet, 38(2): 203-208. |
50 | Zhao K Y, Wright M, Kimball J, Eizenga G, McClung A, Kovach M, Tyagi W, Ali M L, Tung C W, Reynolds A, Bustamante C D, McCouch S R.2010. Genomic diversity and introgression inO. sativa reveal the impact of domestication and breeding on the rice genome. PLoS One, 5(5): e10780. |
51 | (Managing Editor: Li Guan) |
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