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http://krishi.icar.gov.in/jspui/handle/123456789/18781Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mohapatra S | en_US |
| dc.contributor.author | Jena M | en_US |
| dc.contributor.author | Panda RS | en_US |
| dc.contributor.author | Mohanty SK | en_US |
| dc.contributor.author | Behera L | en_US |
| dc.contributor.author | Sahu SC | en_US |
| dc.date.accessioned | 2019-04-24T06:27:30Z | - |
| dc.date.available | 2019-04-24T06:27:30Z | - |
| dc.date.issued | 2013-12-28 | - |
| dc.identifier.citation | Not Available | en_US |
| dc.identifier.issn | 0474-7615 | - |
| dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/18781 | - |
| dc.description | Not Available | en_US |
| dc.description.abstract | Forty seven microsatellite markers were used for fingerprinting and assessing genetic diversity of eight rice genotypes differing in resistance to root-knot nematode. Forty five marker loci revealed polymorphism among these genotypes. A total of 104 alleles were amplified, of which 97 were polymorphic. The number of alleles detected per locus ranged from two to five with an average of 2.21. The polymorphism information content (PIC) ranged between 0 and 0.941 with an average of 0.64 per locus, indicating the suitability of the markers for the detection of genetic diversity. Genetic similarities among the genotypes varied from 0.367 to 0.792 with an average of 0.56. The UPGMA cluster analysis grouped the rice genotypes into two major clusters at 49% level of genetic similarity. Twelve unique alleles were identified which could be useful for developing diagnostic markers. | en_US |
| dc.description.sponsorship | Not Available | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | Association of Rice Research Workers(ARRW) | en_US |
| dc.relation.ispartofseries | Not Available; | - |
| dc.subject | DNA fingerprinting, microsatellite marker, rice, Root-knot nematode, | en_US |
| dc.title | DNA fingerprinting of root-knot nematode resistant rice genotypes | en_US |
| dc.title.alternative | Not Available | en_US |
| dc.type | Research Paper | en_US |
| dc.publication.projectcode | Not Available | en_US |
| dc.publication.journalname | Oryza | en_US |
| dc.publication.volumeno | 50 | en_US |
| dc.publication.pagenumber | 222-230 | en_US |
| dc.publication.divisionUnit | Crop Improvement Division | en_US |
| dc.publication.sourceUrl | DOI 10.5958/2249-5266.2017.00023.6 | en_US |
| dc.publication.authorAffiliation | ICAR::National Rice Research Institute | en_US |
| dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
| dc.publication.naasrating | 5.03 | en_US |
| Appears in Collections: | CS-NRRI-Publication | |
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