KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/43052Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Pardeep Kumar | en_US |
| dc.contributor.author | santosh kumar | en_US |
| dc.contributor.author | mukesh choudhary | en_US |
| dc.contributor.author | GK chikappa | en_US |
| dc.contributor.author | bhupendra kumar | en_US |
| dc.contributor.author | NK singh | en_US |
| dc.contributor.author | SK sinha | en_US |
| dc.date.accessioned | 2020-12-09T09:12:19Z | - |
| dc.date.available | 2020-12-09T09:12:19Z | - |
| dc.date.issued | 2020-04-22 | - |
| dc.identifier.citation | Not Available | en_US |
| dc.identifier.issn | Not Available | - |
| dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/43052 | - |
| dc.description | Not Available | en_US |
| dc.description.abstract | The multi-location testing puts emphasizes mainly on identification of new superior cultivars over commercial cultivars, while giving very less importance to genotype × environment interaction (GEI). In the present study, performances of 37 baby corn cross combinations (including three checks) were evaluated for green ear yield, baby corn yield and husk yield over three locations (environments) in kharif season of 2018. Environment (51-74%) attributed highest proportion of the total variation followed by GEI (14-29%) and genotype (12-19%). Superior stable hybrids for green ear yield, baby corn yield and husk yield could be identified using GGE biplot graphical approach effectively. ‘Which won where’ plot for each of the traits partitioned testing locations into two mega-environments with different winning genotypes for different traits in respective mega-environments. This clearly indicated that though the testing was being conducted in many locations, similar conclusions could be drawn from one or two representatives of each megaenvironment. Thus the stability analysis could help to classify the stable as well as location specific baby corn hybrids. | en_US |
| dc.description.sponsorship | Not Available | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | Range management and agroforestry society | en_US |
| dc.relation.ispartofseries | Not Available; | - |
| dc.subject | baby corn hybrids stability analysis | en_US |
| dc.title | GGE biplot based stability analysis of experimental hybrids for baby corn purpose and green fodder | en_US |
| dc.title.alternative | Not Available | en_US |
| dc.type | Journal | en_US |
| dc.publication.projectcode | AR:IIMR:17:06 | en_US |
| dc.publication.journalname | Range Management and Agroforestry | en_US |
| dc.publication.volumeno | 41 (1) | en_US |
| dc.publication.pagenumber | 60-66 | en_US |
| dc.publication.divisionUnit | IIMR, Ludhiana | en_US |
| dc.publication.sourceUrl | Not Available | en_US |
| dc.publication.authorAffiliation | ICAR::Indian Institute of Maize Research | en_US |
| dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
| Appears in Collections: | CS-IIMR-Publication | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| GGEbiplotbasedstabilityanalysisofexperimentalhybridsforbabycornandgreenfodder_RMSI_2020.pdf | 331.51 kB | Adobe PDF | View/Open |
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