KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/19447
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Archana Sanyal | en_US |
dc.contributor.author | Monika Atul Joshi | en_US |
dc.contributor.author | B.S. Tomar | en_US |
dc.contributor.author | Divya Aggarwal | en_US |
dc.date.accessioned | 2019-05-14T07:19:38Z | - |
dc.date.available | 2019-05-14T07:19:38Z | - |
dc.date.issued | 2016-05-01 | - |
dc.identifier.citation | 2 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/19447 | - |
dc.description | Not Available | en_US |
dc.description.abstract | The genetic divergence of 61 extant varieties of rice (Oryza sativa L.) was assessed by using principal component analysis (PCA). The variables considered in the multivariate analyses were morphological, phenological and grain traits. The correlation analysis revealed that a number of traits were directly associated with other traits regardless of plant type or architectural configuration of the whole plant. The first four components in the PC analysis with Eigen values >1 contributed 74.25% of the variability among genotypes evaluated. Across various PCs, each of the accessions contributed both vegetatively and reproductively and in some cases only one-sidedly, either reproductively or vegetatively. The study grouped the genotypes into seven clusters. Cluster I had maximum number of genotypes (17). The cluster VII had second highest number of genotypes (12), while cluster II, III, IV, V, VI contained nine, four, six, five and eight genotypes, respectively. The overall composition of the clustering pattern showed that genotypes collected from the same geographic origin were distributed in different clusters. A critical appraisal of the observations suggested that none of the clusters contained genotypes with all the desirable traits, which could be directly selected and utilized. Hence, depending on the per se performance of the best genotypes within the clusters, they may be directly used for adaptation or maybe used as parents in future breeding programs. | 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 | phenotypic divergence | en_US |
dc.subject | component analysis | en_US |
dc.subject | rice | en_US |
dc.title | Phenotypic divergence for agro-morphological traits among extant rice (Oryza sativa) varieties | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Article | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Indian Journal of Agricultural Sciences | en_US |
dc.publication.volumeno | 86 (5) | en_US |
dc.publication.pagenumber | 673-8 | en_US |
dc.publication.divisionUnit | Division of Seed Science and Technology | en_US |
dc.publication.sourceUrl | Not Available | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 6.21 | en_US |
Appears in Collections: | NRM-CAZRI-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.