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Central Rice Research Institute Annual report...2011-12

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Quick diagnosis of <strong>Rice</strong> Tungro Disease (RTD)<br />

through molecular marker and other<br />

techniques<br />

Six rice cultivars (viz., Annada, IR64, TN1, Jaya,<br />

Tapaswini and Shatabdi,) were tested on three different<br />

dates of sowing and transplanting during the season<br />

. Observations based on visual symptoms were corroborated<br />

by insect transmission and the diagnostic<br />

was confirmed through PCR test involving specific<br />

primers for ‘<strong>Rice</strong> Tungro Bacilliform virus’.<br />

Characterization of sheath blight isolates<br />

The sheath blight disease was artificially inoculated<br />

in 1025 test entries on to the sheath of seven plants in<br />

each row of in entries. Observations revealed that 55<br />

entries namely, NSN-2 150, 191, 210, 249, 271, 273, 318,<br />

369, 393, 444, 467, 487, 495, 507, 519, 542, 545; HSN27,<br />

71, 84, 90, 114; NSN-H 2, 13, 14, 30, 36, 38, 68, 69, 74<br />

and DSN 6, 39, 42, 60, 67 showed sheath blight symptom<br />

in SES score of 0-3.<br />

Molecular characterization of insect pest<br />

populations<br />

The genetic variability among 70 yellow stem borer<br />

(YSB) populations was assessed using molecular markers.<br />

These 70 YSB populations were collected from fifteen<br />

districts of Odisha namely, Khurda, Balasore, Puri,<br />

Kendrapara, Cuttack, Jagatsinghpur, Mayurbhanj,<br />

Deogarh, Sambalpur, Sonepur, Bolangir, Phulbani,<br />

Nayagarh, Boudh and Dhenkanal. Ten microsatellite<br />

and fifteen rDNA specific markers were used to amplify<br />

genomes of the YSB populations. A total of <strong>12</strong>2<br />

bands were amplified, all being polymorphic. Twenty<br />

eight unique bands were identified which will be useful<br />

for developing diagnostic marker. Genetic similarity<br />

among YSB populations varied from 0.08 to 0.97<br />

with an average of 0.50, indicating that wide genetic<br />

variation exists between YSB populations. YSB population<br />

in Srikhandpur of Balasore district showed highest<br />

genetic similarity with YSB population of Soro in<br />

Balasore district while YSB population from Ersama,<br />

Jagatsinghpur district showed least genetic similarity<br />

with Vellipadia, Balasore district. Cluster analysis using<br />

UPGMA, dendrogram classified all the 70 rice YSB<br />

populations into three major clusters at 30% level of<br />

genetic similarity. All the individual populations of YSB<br />

included in the study could be distinguished precisely<br />

from each in pair wise comparison over all the 25<br />

primers.<br />

82 CRRI ANNUAL REPORT 2011-<strong>12</strong>

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