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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/82585
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Singh, B., Das, A., Parihar, A.K., Bhagwati, B., Singh, D., Pathak, K.N., Dwivedi, K., Das, N., Keshari, K., Midha, R.L., Kumar, R., Pratap, A. Kumar, V. and Gupta, S. | en_US |
dc.date.accessioned | 2024-05-03T10:03:59Z | - |
dc.date.available | 2024-05-03T10:03:59Z | - |
dc.date.issued | 2020-03-05 | - |
dc.identifier.citation | Singh, B., Das, A., Parihar, A.K., Bhagwati, B., Singh, D., Pathak, K.N., Dwivedi, K., Das, N., Keshari, K., Midha, R.L., Kumar, R., Pratap, A. Kumar, V. and Gupta, S. 2020. Delineation of Genotype-by- Environment interactions for identification and validation of resistant genotypes in mungbean to root-knot nematode (Meloidogyne incognita) using GGE biplot. Scientific Reports. https://doi.org/10.1038/s41598-020-60820-x | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/82585 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Susceptibility to root-knot nematodes (Meloidogyne spp.) is one of the major factors limiting mungbean production in South and South-East Asia. Host-pest-environment interaction in mungbean and root knot nematode (M. incognita) was investigated in multi-location feld evaluation using 38 promising mungbean genotypes extracted from initial evaluation of 250 genotypes under sick plots considering second stage freshly hatched juvenile as inoculants. The extent of environmental and genotype by-environment interactions (GGE) was assessed to comprehend the dynamism of resistance and identifcation of durable resistant mungbean genotypes. Among environmental factors, nematode activity was highly infuenced by rainfall and minimum temperature. The GGE biplot and multiple comparison tests detected a higher proportion of genotype × environment (GE) interaction followed by genotype and environment on number of nematode galls, gall index and reproduction factor. The frst two principal components (PCs) explained 64.33% and 66.99% of the total variation of the environment-centered gall scoring and reproduction factor data, respectively. The high GE variation indicated the presence of non-cross over interactions which justify the necessities of multi-location testing. Detection of non-redundant testing locations would expedite optimum resource utilization in future. The GGE biplot analysis identifed genotypes such as PM-10-12, IPM-410-3 and NVL-641 as the outperforming and desirable genotypes with durable resistance against M. incognita which can be exploited in mungbean breeding programmes globally. On the contrary, the highest gall scoring and reproduction factor were recorded in genotype IPM-9901-8. Computation of confdence interval (CI) at 95% level through bootstrapping increased precision of GGE biplot towards genotype recommendation. Furthermore, total phenol content, ascorbic acid, phenlylalanine ammonia lyase (PAL) and polyphenol oxidase (PPO) activities were also higher in identifed resistant genotypes and this information would be useful for devising mungbean breeding strategies in future for resistance against root-knot nematodes. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Nature | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Melodogyne incongnita, Mungbean, Resistance, Root knot nematode, | en_US |
dc.title | Delineation of Genotype-by- Environment interactions for identification and validation of resistant genotypes in mungbean to root-knot nematode (Meloidogyne incognita) using GGE biplot. | en_US |
dc.type | Journal | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Scientific Reports | en_US |
dc.publication.volumeno | Not Available | en_US |
dc.publication.pagenumber | Not Available | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://doi.org/10.1038/s41598-020-60820-x | en_US |
dc.publication.authorAffiliation | ICAR::Indian Institute of Pulses Research | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.publication.authorAffiliation | Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Benga | en_US |
dc.publication.authorAffiliation | Assam Agricultural University, Jorhat, Assam | en_US |
dc.publication.authorAffiliation | Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar | en_US |
dc.publication.authorAffiliation | Chandra Shekhar Azad University of Agriculture & Technology, Kanpur, 208 002, Uttar Pradesh | en_US |
dc.publication.authorAffiliation | Orissa University of Agriculture & Technology, Bhubaneswar, Orissa | en_US |
dc.publication.authorAffiliation | Rajasthan Agricultural Research Institute, Durgapura, Jaipur, Rajasthan | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Included NAAS journal list | en_US |
dc.publication.naasrating | 11.0 | en_US |
dc.publication.impactfactor | 4.997 | en_US |
Appears in Collections: | CS-IIPR-Publication |
Files in This Item:
File | Description | Size | Format | |
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Scientific_Reports.pdf | 2.68 MB | Adobe PDF | View/Open |
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