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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/13649
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hariom Kumar Sharm | en_US |
dc.contributor.author | arvind shukla | en_US |
dc.contributor.author | arvind kumar | en_US |
dc.contributor.author | alok kumar | en_US |
dc.contributor.author | shashi bhushan choudhary | en_US |
dc.contributor.author | Jawahar Lal jatothu | en_US |
dc.date.accessioned | 2018-11-27T10:10:44Z | - |
dc.date.available | 2018-11-27T10:10:44Z | - |
dc.date.issued | 2013-01-01 | - |
dc.identifier.citation | Hariom Kumar Sharma, Arvind Shukla, Arvind Kumar, Alok Shukla, Shashi Bhushan Choudhary and Jawahar lal Jatothu 2013. Variability and genetic diversity assessment in physicnut (Jatrophacurcas L.). Journal of Medicinal Plants Research, 7(32) : 2380-2391. | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/13649 | - |
dc.description | Not Available | en_US |
dc.description.abstract | A trial was conducted to assess genetic parameters and diversity in physic nut (Jatropha curcas L.). Data were collected on ten biometric traits during year 2007 to 2008 and 2008 to 2009. Genotype Indira Gandhi Agricultural University (IGAU)-Raipur ranked first for seed yield (0.269, 0.492 kg/plant) in year 2007 to 2008 and 2008 to 2009, respectively. In 2007 to 2008, dry fruit yield/plant accounted highest phenotypic coefficient of variation (PCV) (40.27%) while seed yield/plant recorded highest genotypic coefficient of variation (GCV) (26.36%) in comparison to other traits. In contrast, in 2008 to 2009, seed yield/plant had highest PCV (45.88%) as well as GCV (34.27%). High estimates of heritabilities (h2) coupled with high genetic gains (GA) were registered for number of fruit clusters/plant, seed yield/plant and dry fruit yield/plant for both years which implies that direct selection would be effective for improvement of these traits. The maximum Euclidean distance of 11.21% was registered between IGAU Raipur and Lower Sowan. Non-hierarchical Euclidean analysis grouped forty six genotypes of J. curcas into five non-overlapping clusters. The maximum (7.723) inter-cluster distance was noticed between cluster NC-I and NC-IV whereas, minimum (2.747) inter-cluster distances was in between NC-I and NC-V. Based on three methods of clustering namely; hierarchical clustering, non-hierarchical clustering and metroglyph clustering, pooled clusters were formed which were found to be effective in selection of genotypes forhybridization. (12) (PDF) Variability and genetic diversity assessment in physic nut (Jatropha curcas L.). Available from: https://www.researchgate.net/publication/303178007_Variability_and_genetic_diversity_assessment_in_physic_nut_Jatropha_curcas_L [accessed Nov 27 2018]. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | academic journals | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | jatropha curcas, variability, heritability, genetic advance, genetic diversity, euclidean distance, | en_US |
dc.title | Variability and genetic diversity assessment in physic nut (Jatropha curcas L.) | 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 Medicinal Plants Research | en_US |
dc.publication.volumeno | 7 | en_US |
dc.publication.pagenumber | 2380-2391 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | Not Available | en_US |
dc.publication.authorAffiliation | CRIJAF, Barrackpore | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
Appears in Collections: | CS-IIOR-Publication |
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