SUB1 varieties increased rice (Oryza saliva) yield in flood-prone rainfed lowlands of coastal regions

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cg.contributor.affiliationIndian Council of Agricultural Researchen
cg.contributor.affiliationInternational Rice Research Instituteen
cg.contributor.affiliationInternational Potato Centeren
cg.contributor.crpRice
cg.contributor.donorIndian Council of Agricultural Researchen
cg.creator.identifierSUKANTA KUMAR SARANGI: 0000-0002-0356-7665
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.56093/ijas.v90i11.108561en
cg.isijournalISI Journalen
cg.issn2394-3319en
cg.issue11en
cg.journalIndian Journal of Agricultural Sciencesen
cg.reviewStatusPeer Reviewen
cg.subject.cipCLIMATE CHANGEen
cg.subject.cipCLIMATE-SMART AGRICULTUREen
cg.subject.cipSEED SYSTEMSen
cg.volume90en
dc.contributor.authorSarangi, S.K.en
dc.contributor.authorSingh, S.en
dc.contributor.authorMaji, B.en
dc.contributor.authorSharma, Parbodh Chanderen
dc.contributor.authorSrivastava, A.K.en
dc.contributor.authorBurman, D.en
dc.contributor.authorMandal, S.en
dc.contributor.authorKrishnamurthy, S.L.en
dc.contributor.authorSingh, U.S.en
dc.contributor.authorIsmaili, A.M.en
dc.date.accessioned2021-03-15T17:50:57Zen
dc.date.available2021-03-15T17:50:57Zen
dc.identifier.urihttps://hdl.handle.net/10568/113011
dc.titleSUB1 varieties increased rice (Oryza saliva) yield in flood-prone rainfed lowlands of coastal regionsen
dcterms.abstractSubmergence of lowland rice (Oryza sativa L.) fields during the wet season in coastal regions adversely affects survival and productivity of rice. A field experiment was conducted for two consecutive wet seasons in 2016 and 2017 at ICAR-Central Soil Salinity Research Institute, Regional Research Station, Canning Town, West Bengal to evaluate the performance of six varieties carrying the SUB1 gene (BR11-Sub1, Ciherang-Sub1, CR1009-Sub1, IR64-Sub1, Samba-Sub1, and Swarna-Sub1) along with two checks (DRR Dhan39 and Sabita) under stagnant and flash flooding situations. Sabita produced the highest grain yield (3.45 t/ha) followed by CR1009-Sub1 (3.27 t/ha) under stagnant flooding. Sabita is the local check under stagnant flooding. Under flash flooding, CR1009-Sub1 produced the highest grain yield of 4.11 t/ha, followed by Swarna-Sub1 (3.11 t/ha) and BR11-Sub1 (2.78 t/ha). Participatory varietal selection (PVS) was conducted during both the years to assess the preferences of farming communities for these varieties. Under stagnant flooding, the highest preference score was recorded for Sabita (0.62) followed by BR11-Sub1 (0.32) and CR1009-Sub1 (0.31). The lowest preference score was observed for IR64-Sub1 (-0.56), Samba-Sub1(-0.31), and Ciherang-Sub1 (-0.26). Under flash flooding, the highest preference score was recorded for CR1009-Sub1 (0.63) followed by BR11-Sub1 (0.38) and Swarna-Sub1 (0.20). The lowest preference score was observed for IR64-Sub1 (-0.62), Samba-Sub1 (-0.34), Ciherang-Sub1 (-0.29), and DRR Dhan39 (-0.27). Based on the results of field experiments and farmers’ preferences, CR1009-Sub1, BR11-Sub1, and Swarna-Sub1 could be recommended for cultivation in areas affected by flash floods in coastal areas of India.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.audienceAcademicsen
dcterms.audienceCGIARen
dcterms.audienceDevelopment Practitionersen
dcterms.audienceDonorsen
dcterms.audienceExtensionen
dcterms.audienceFarmersen
dcterms.available2020-12-16
dcterms.bibliographicCitationSarangi, S.K., Singh, S., Maji, B., Sharma, P.C., Srivastava, A.K., Burman, D., Mandal, S., Krishnamurthy, S.L., Singh, U.S., Ismaili, A.M. 2020. SUB1 varieties increased rice (Oryza saliva) yield in flood-prone rainfed lowlands of coastal regions. Indian Journal of Agricultural Sciences. ISSN: 2394-3319. 90(11). 2064-2070 p.en
dcterms.extent2064-2070en
dcterms.issued2020-11
dcterms.languageen
dcterms.licenseCC-BY-NC-SA-4.0
dcterms.publisherIndian Council of Agricultural Research, Directorate of Knowledge Management in Agricultureen
dcterms.subjectflash floodingen
dcterms.subjectriceen
dcterms.subjectwater toleranceen
dcterms.typeJournal Article

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