KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/40767
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Director ICAR-IASRI | en_US |
dc.date.accessioned | 2020-09-02T09:38:03Z | - |
dc.date.available | 2020-09-02T09:38:03Z | - |
dc.date.issued | 2019-01-01 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/40767 | - |
dc.description | Not Available | en_US |
dc.description.abstract | A universal tool, PolyMorphPredict for polymorphic microsatellite marker discovery from whole genome and transcriptome data was developed which is freely available and can be accessed at http://webtom.cabgrid.res.in/polypred/. This tool can accelerate the in silico microsatellite polymorphism discovery in resequencing projects of any species of plant and animal for their diversity estimation along with variety/ breed identification, population structure, MAS, QTL and gene discovery, traceability, parentage testing, fungal diagnostics and genome finishing. Quantitative proteomic analysis reveald novel stress-associated active proteins (SAAPs) and pathways involved in modulating tolerance of wheat under terminal heat. 3600 proteins to be upregulated and 5825 proteins to be downregulated in both the wheat cultivars under heat stress have been identified. The identified SAAPs can be used for targeted protein-based precision wheatbreeding program for the development of ‘climate-smart’ wheat. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | ICAR-IASRI, New Delhi | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Agricultural Statistics | en_US |
dc.subject | Design of Experiments | en_US |
dc.subject | Sample Surveys | en_US |
dc.subject | Statistical Genetics | en_US |
dc.subject | Forecasting Techniques | en_US |
dc.subject | Bioinformatics | en_US |
dc.subject | Computer Applications | en_US |
dc.title | ICAR-IASRI Newsletter, Oct.- Dec., 2018 | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | News Letter | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Not Available | en_US |
dc.publication.volumeno | 23(3) | en_US |
dc.publication.pagenumber | 1-22 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://iasri.icar.gov.in/wp-content/uploads/2019/12/NLE_Oct_Dec_2018.pdf | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | Not Available | - |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Newsletter Oct_Dec_2018.pdf | 1.23 MB | Adobe PDF | View/Open |
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