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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/83014
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | De Silva N.P.S, V.G.Shankar, Divya Balakrishnan, D.S. Chary, S.N.C.V.L. Pushpavalli, B.Kavitha, Y.V. Rao, P.Prashanthi And N.Sarla. | en_US |
dc.date.accessioned | 2024-06-03T15:59:01Z | - |
dc.date.available | 2024-06-03T15:59:01Z | - |
dc.date.issued | 2021-01-01 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/83014 | - |
dc.description | Not Available | en_US |
dc.description.abstract | RILS derived from a cross between Swarnax 166s (Advanced BIL of Swarna x O. nivara) were field evaluated in Rabi 2017-18, Rabi2018-19 and Kharif2019 considering the importance of yield related traits in selection for improvement of grain yield. The F5, F6 and F7 generations of the RILs were evaluated as three row families in RCB design with two replicates using Swarna and 166s as checks at research farm, IIRR, Hyderabad, India under irrigated conditions. The observations were recorded for the traits plant height, total number of tillers per plant, productive tillers per plant, biomass weight per plant, 1000- grain weight and single plant grain yield for which path coefficient analysis was carried out. Analysis of variance revealed that the genotypes were significantly different for the yield and other traits studied during three seasons, indicating the presence of high genotypic variability among the genotypes. Path coefficient analysis revealed that productive tiller number per plant exerted the highest positive direct effect on single plant grain yield among the traits studied. This was followed by biomass weight per plant and plant height at both phenotypic and genotypic levels indicating that selection for these traits would help to overall improvement of the grain yield in rice. Total tiller number per plant at both phenotypic and genotypic levels and 1000-grain weight at genotypic level showed negative direct effect with single plant grain yield. | 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 | Rils of Oryza nivara, Path Coefficient Analysis | en_US |
dc.title | Path Coefficient Analysis Using RILs of Oryza Nivara in Swarna Background. | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Article | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Journal of Current Microbiology And Applied Sciences | en_US |
dc.publication.volumeno | Not Available | en_US |
dc.publication.pagenumber | Not Available | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | 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 |
dc.publication.naasrating | 5.38 | en_US |
Appears in Collections: | CS-IIRR-Publication |
Files in This Item:
File | Description | Size | Format | |
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2021 IJCMAS De Silva.pdf | 260.95 kB | Adobe PDF | View/Open |
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