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/123456789/75973
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Seema Sheoran, Mamta Gupta, Shweta Kumari, Sandeep Kumar and Sujay Rakshit | en_US |
dc.date.accessioned | 2023-02-03T15:19:44Z | - |
dc.date.available | 2023-02-03T15:19:44Z | - |
dc.date.issued | 2022-04-01 | - |
dc.identifier.citation | Sheoran, S., Gupta, M., Kumari, S., Kumar, S. and Rakshit, S., 2022. Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Zea mays L.) and their implications in breeding programs. Molecular Breeding, 42(5), pp.1-26. | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/75973 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Global climate change leads to the concurrence of a number of abiotic stresses including moisture stress (drought, waterlogging), temperature stress (heat, cold), and salinity stress, which are the major factors affecting maize production. To develop abiotic stress tolerance in maize, many quantitative trait loci (QTL) have been identified, but very few of them have been utilized successfully in breeding programs. In this context, the meta-QTL analysis of the reported QTL will enable the identification of stable/real QTL which will pave a reliable way to introgress these QTL into elite cultivars through marker-assisted selection. In this study, a total of 542 QTL were summarized from 33 published studies for tolerance to different abiotic stresses in maize to conduct meta-QTL analysis using BiomercatorV4.2.3. Among those, only 244 major QTL with more than 10% phenotypic variance were preferably utilised to carry out meta-QTL analysis. In total, 32 meta-QTL possessing 1907 candidate genes were detected for different abiotic stresses over diverse genetic and environmental backgrounds. The MQTL2.1, 5.1, 5.2, 5.6, 7.1, 9.1, and 9.2 control different stress-related traits for combined abiotic stress tolerance. The candidate genes for important transcription factor families such as ERF, MYB, bZIP, bHLH, NAC, LRR, ZF, MAPK, HSP, peroxidase, and WRKY have been detected for different stress tolerances. The identified meta-QTL are valuable for future climate-resilient maize breeding programs and functional validation of candidate genes studies, which will help to deepen our understanding of the complexity of these abiotic stresses. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Molecular Breeding | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Abiotic stress, Candidate gene, Maize, Meta-QTL analysis | en_US |
dc.title | Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Zea mays L.) and their implications in breeding programs | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Molecular Breeding | en_US |
dc.publication.volumeno | 42(5) | en_US |
dc.publication.pagenumber | 1-26 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https:// doi. org/ 10. 1007/ s11032- 022- 01294-9. | en_US |
dc.publication.authorAffiliation | ICAR-Indian Institute of Maize Research, PAU Campus, Ludhiana 141004, India | en_US |
dc.publication.authorAffiliation | ICAR-Indian Agricultural Research Institute, Regional Station, Karnal 132001, India | en_US |
dc.publication.authorAffiliation | ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India | en_US |
dc.publication.authorAffiliation | ICAR-Indian Institute of Pulses Research, Regional Station, Phanda, Bhopal 462030, India | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | NAAS rated Journal | en_US |
dc.publication.naasrating | 8.59 | en_US |
dc.publication.impactfactor | 3.297 | en_US |
Appears in Collections: | CS-IIMR-Publication |
Files in This Item:
File | Description | Size | Format | |
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MetaQTL_abiotic stresses.pdf | 2.91 MB | Adobe PDF | View/Open |
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