World Rice Core Collection
The Collection consists of 69 accessions. It retained 90% of RFLP alleles detected in about 300 accessions selected based on the passport data from the whole rice collection (about 30 thousands accessions) maintained at the NARO Genebank.
The multiple genome browser TASUKE+ provides the genome-wide variant information*1.
ID | Origin | Cultivar | Heading date(day) | Amylose content(%) | Culm length(cm) | Panicle length(cm) | Number of panicles(Number/plant) | Grain length(mm) | Grain width(mm) | γ-Oryzanol Content(μg/g, Brown Rice) |
---|---|---|---|---|---|---|---|---|---|---|
WRC 01 | JAPAN | NIPPONBARE | 125 | 20.1 | 121 | 25.5 | 14.7 | 6.2 | 3.3 | 164.2 |
WRC 02 | INDIA | KASALATH | 116 | 33 | 121 | 24.6 | 13.7 | 6.9 | 2.6 | 143.7 |
WRC 03 | CAMBODIA | BEI KHE | 141 | 23.8 | 130 | 24.1 | 9.4 | 7.3 | 2.7 | 130.6 |
WRC 04 | NEPAL | JENA 035 | 117 | 31.5 | 155 | 26.6 | 7.6 | 7.3 | 3.3 | 150.1 |
WRC 05 | INDIA | NABA | 139 | 31.8 | 94 | 25.9 | 10.3 | 7 | 2.6 | 121.9 |
WRC 06 | INDONESIA | PULUIK ARANG | 137 | 1.9 | 115 | 23.6 | 7.6 | 8.5 | 3.2 | 131.7 |
WRC 07 | PHILIPPINES | DAVAO 1 | 127 | 32.7 | 116 | 20.7 | 10.5 | 5.9 | 3.3 | 135.4 |
WRC 09 | CHINA | RYOU SUISAN KOUMAI | 101 | 33.9 | 97 | 19.4 | 13.8 | 6 | 2.9 | 118.6 |
WRC 10 | CHINA | SHUUSOUSHU | 100 | 28.2 | 103 | 20.6 | 9.9 | 6.7 | 2.9 | 125.9 |
WRC 11 | CHINA | JINGUOYIN | 125 | - | 135 | 23.8 | 8.2 | 7 | 3.5 | 168 |
WRC 12 | CHINA | DAHONGGU | 127 | 33.3 | 160 | 23.5 | 7.8 | 6.7 | 3.2 | - |
WRC 13 | BHUTAN | ASU | 129 | 38 | 121 | 23.8 | 8.8 | 6.6 | 2.9 | 99 |
WRC 14 | PHILIPPINES | IR 58 | 117 | 33 | 63 | 22.6 | 9.3 | 6.6 | 2.8 | 112.1 |
WRC 15 | INDIA | CO 13 | 126 | 35.9 | 133 | 22.8 | 11.8 | 6.1 | 3.1 | 75.7 |
WRC 16 | MADAGASCAR | VARY FUTSI | 126 | 33.7 | 108 | 23.6 | 9.1 | 6.9 | 3.1 | 151 |
WRC 17 | CHINA | KEIBOBA | 111 | 34.8 | 111 | 18 | 10.1 | 6.7 | 2.9 | 95.4 |
WRC 18 | TAIWAN | QINGYU(SEIYU) | 117 | 33 | 125 | 23.7 | 8.1 | 6 | 3.2 | 115.2 |
WRC 19 | CHINA | DENG PAO ZHAI | 131 | 30.7 | 151 | 19.8 | 14.4 | 6.3 | 3 | 125.7 |
WRC 20 | PHILIPPINES | TADUKAN | 139 | 33 | 132 | 23.7 | 15.1 | 6.4 | 2.7 | 108.3 |
WRC 21 | MYANMAR(BURMA) | SHWE NANG GYI | 115 | 31.8 | 104 | 23.2 | 6.4 | 7.9 | 2.8 | 153 |
WRC 22 | PHILIPPINES | CALOTOC | 130 | 31.9 | 105 | 23.6 | 8.4 | 5.4 | 3.1 | 158.2 |
WRC 23 | PHILIPPINES | LEBED | 125 | 1.4 | 134 | 24.6 | 6.6 | 5.8 | 3 | 193.4 |
WRC 24 | PHILIPPINES | PINULUPOT 1 | 130 | 23.3 | 127 | 20.8 | 9.3 | 5.7 | 2.8 | 105.1 |
WRC 25 | INDIA | MUHA | 115 | 32.1 | 110 | 23.6 | 8.7 | 6.7 | 3.1 | 160.2 |
WRC 26 | INDIA | JHONA 2 | 127 | 32.1 | 127 | 21.6 | 9.6 | 7.3 | 2.8 | 161.5 |
WRC 27 | NEPAL | NEPAL 8 | 114 | 30.9 | 123 | 29.6 | 5.8 | 5.7 | 3.3 | 149.3 |
WRC 28 | BHUTAN | JARJAN | 124 | 31.2 | 138 | 30.7 | 7.6 | 5.8 | 2.9 | 133.2 |
WRC 29 | NEPAL | KALO DHAN | 119 | 29.1 | 139 | 21.6 | 6.3 | 5.2 | 3.4 | 139.7 |
WRC 30 | NEPAL | ANJANA DHAN | 127 | 33.9 | 144 | 26.5 | 6.7 | 6.7 | 2.7 | 151.2 |
WRC 31 | BANGLADESH | SHONI | 106 | 29.7 | 81 | 17.2 | 13 | 7 | 3.2 | 122.6 |
WRC 32 | BANGLADESH | TUPA 121-3 | 112 | 31.2 | 117 | 24.3 | 10 | 6.4 | 2.7 | 128.7 |
WRC 33 | INDIA | SURJAMUKHI | 115 | 32.7 | 97 | 22.3 | 8.9 | 6.3 | 2.7 | 117.4 |
WRC 34 | INDIA | ARC 7291 | 115 | 31.9 | 107 | 26.1 | 10.6 | 5.1 | 3.1 | 172.2 |
WRC 35 | INDIA | ARC 5955 | 116 | 34.7 | 122 | 26.7 | 13.5 | 5.7 | 2.7 | 174.7 |
WRC 36 | INDIA | RATUL | 109 | 33.8 | 106 | 23.9 | 11 | 6.1 | 3.3 | 115.8 |
WRC 37 | INDIA | ARC 7047 | 104 | 31.5 | 124 | 22 | 7.4 | 5.1 | 3.1 | 94.1 |
WRC 38 | INDIA | ARC 11094 | 114 | 32 | 100 | 17.9 | 10.3 | 6.3 | 2.8 | 86.5 |
WRC 39 | NEPAL | BADARI DHAN | 115 | 32 | 103 | 22.7 | 12 | 5.7 | 3.2 | 137 |
WRC 40 | INDIA | NEPAL 555 | 116 | 32.7 | 127 | 26.8 | 10.6 | 6 | 3 | 200.9 |
WRC 41 | SRILANKA | KALUHEENATI | 117 | 33.3 | 97 | 20.1 | 11.8 | 5.9 | 2.8 | 130.1 |
WRC 42 | INDIA | LOCAL BASMATI | 139 | 26.8 | 88 | 28.4 | 12 | 5.9 | 2.9 | 156.1 |
WRC 43 | CHINA | DIANYU 1 | 114 | 18.4 | 83 | 18.1 | 9.7 | 5.5 | 3.4 | 173.7 |
WRC 44 | PHILIPPINES | BASILANON | 131 | 25.1 | 140 | 22.2 | 13.9 | 5.6 | 2.6 | 133.4 |
WRC 45 | MYANMAR(BURMA) | MA SHO | 126 | 25.6 | 113 | 18.9 | 8.3 | 5.5 | 2.9 | 130.9 |
WRC 46 | LAOS | KHAO NOK | 115 | 0.6 | 126 | 27.1 | 4.7 | 7.1 | 4.1 | 151.9 |
WRC 47 | BRAZIL | JAGUARY | 116 | 0.2 | 120 | 24 | 9.4 | 8.4 | 3.6 | 187.4 |
WRC 48 | VIETNAM | KHAU MAC KHO | 137 | 0.4 | 126 | 23.2 | 5 | 5.9 | 3.9 | 145.6 |
WRC 49 | INDONESIA | PADI PERAK | 129 | 23.5 | 112 | 21.4 | 5.7 | 6.4 | 2.8 | 200.8 |
WRC 50 | USA | REXMONT | 117 | 27.4 | 62 | 23.7 | 6.9 | 7.6 | 2.4 | 154.3 |
WRC 51 | JAPAN | URASAN 1 | 110 | 15.9 | 96 | 23 | 9.5 | 6.2 | 3.3 | 165.8 |
WRC 52 | VIETNAM | KHAU TAN CHIEM | 130 | 0.1 | 156 | 25.5 | 7.8 | 6.5 | 3.3 | 134 |
WRC 53 | BHUTAN | TIMA | 146 | 28.5 | 155 | 34.9 | 7.3 | 6.7 | 3.2 | 121.1 |
WRC 55 | BANGLADESH | TUPA 729 | 112 | 26.3 | 119 | 21.4 | 11.8 | 5.5 | 3.1 | 202 |
WRC 57 | REP.KOREA | MILYANG 23 | 117 | 17 | 64 | 23 | 7.4 | 6.6 | 3 | 110.5 |
WRC 58 | CAMBODIA | NEANG MENH | 166 | 27.3 | - | - | - | 7.1 | 2.4 | 98.8 |
WRC 59 | CAMBODIA | NEANG PHTONG | 166 | 31 | - | - | - | 7.1 | 2.7 | 85 |
WRC 60 | LAOS | HAKPHAYNHAY | 166 | 0.7 | - | - | - | 7.3 | 3 | 125 |
WRC 61 | MALAYSIA | RADIN GOI SESAT | 166 | 27.9 | - | - | - | 6.8 | 2.9 | 78.8 |
WRC 62 | MALAYSIA | KEMASIN | 166 | 26 | - | - | - | 7 | 2.7 | 148 |
WRC 63 | THAILAND | BLEIYO | 166 | 1.2 | - | - | - | 8.3 | 2.8 | 140.2 |
WRC 64 | INDONESIA | PADI KUNING | 146 | 31.6 | 136 | 32.2 | 5.9 | 7.9 | 3.2 | 124.1 |
WRC 65 | INDONESIA | RAMBHOG | 166 | 34 | - | - | - | 7.6 | 2.7 | 77.4 |
WRC 66 | MYANMAR(BURMA) | BINGALA | 166 | 32.2 | - | - | - | 9.6 | 2.7 | 85.5 |
WRC 67 | INDIA | PHULBA | 166 | 26.1 | - | - | - | 7.7 | 3.2 | 140.1 |
WRC 68 | LAOS | KHAO NAM JEN | 166 | 0.3 | - | - | - | 6.9 | 3.8 | 151.9 |
WRC 97 | MYANMAR(BURMA) | CHIN GALAY | 166 | - | - | - | - | - | - | 114.3 |
WRC 98 | CHINA | DEEJIAOHUALUO | 107 | - | 112 | 7.2 | 20.2 | - | - | 110.8 |
WRC 99 | CHINA | HONG CHEUH ZAI | 105 | 23.2 | 114 | 8.3 | 21.7 | 8.8 | 3 | 106.1 |
WRC 100 | SRILANKA | VANDARAN | 136 | - | 121 | 8.4 | 27.9 | 6 | 3.3 | 144.2 |
- *1 Tanaka N. et al. (2020). Whole-genome sequencing of the NARO World Rice Core Collection (WRC) as the basis for diversity and association studies. Plant and Cell Physiology 61: 922-932. [10.1093/pcp/pcaa019]
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