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http://krishi.icar.gov.in/jspui/handle/123456789/71207
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | D Shivani, Farzana Jabeen, K Chaithanya, MBVN Koushik, GD Dileep, E Punnia Koti, K Supriya, RM Sundaram, J Aravind Kumar and R Abdul Fiyaz | en_US |
dc.date.accessioned | 2022-04-05T16:09:01Z | - |
dc.date.available | 2022-04-05T16:09:01Z | - |
dc.date.issued | 2021-03-23 | - |
dc.identifier.citation | 80. Shivani D, Jabeen F, Chaithanya K, Kousik MBVN, Dilip T, Punniakoti E, Supriya K, Sundaram RM, Aravind Kumar j and Fiyaz RA (2021). Assessment of genetic diversity of rice germplasm using microsatellite markers. The Pharma Innovation Journal 10: 1393-1397 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/71207 | - |
dc.description | Not Available | en_US |
dc.description.abstract | The knowledge on the extent and pattern of diversity in the crop species is a prerequisite for any crop improvement program as it helps breeders in deciding suitable breeding strategies for their future improvement. The study was conducted to analyze the genetic diversity among 77 germplasm lines at molecular level employing 36 randomly chosen microsatellite markers. A total of 30 markers were found to be polymorphic among the genotypes with a total of 70 alleles. The number of alleles per locus ranged from 2 to 3. The polymorphic information content (PIC) value ranged from 0.072 to 0.640 with an average of 0.32. Based on the principle of Unweighted Pair Wise Method using Arithemetic Average (UPGMA) constructed by Jaccard's similarity Coefficient, the cluster analysis distinguished these accessions into eight clusters. Cluster I had maximum number of genotypes (59) followed by cluster II (8), clusters III (3), whereas the clusters IV and VII have two genotypes each and cluster V, VI and VIII had only one genotype. Thus, the germplasm lines present in the eight clusters were genetically diverse and could be directly utilized in hybridization programme for improvement of yield and yield related traits. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Rice, genetic diversity, SSR markers, PIC value, dendrogram | en_US |
dc.title | Assessment of genetic diversity of rice germplasm using microsatellite markers | 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 | The Pharma Innovation Journal | en_US |
dc.publication.volumeno | 10(5) | en_US |
dc.publication.pagenumber | 1393-1397 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.authorAffiliation | ICAR::Indian Institute of Rice Research | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
Appears in Collections: | CS-IIRR-Publication |
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