KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/49614| Title: | Assessing the Effect of Salt Stress on Soybean [Glycine max (L.) Merrillis] Genotypes Using AMMI and GGE Biplot Analysis |
| Authors: | Singh V, Sanwal SK, Kumawat G, Shiva Kumar M, Satpute GK, Gill BS, Panwar S, Singh J* and Sharma PC |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | Central Soil Salinity Research Institute |
| Published/ Complete Date: | 2020-05-01 |
| Project Code: | NRMACSSRISIL201700400928 |
| Keywords: | Soybean, Salt stress, AMMI analysis, GGE biplot, Genotypes |
| Publisher: | Journal of Soil Salinity and Water Quality |
| Citation: | 1. Singh V, Sanwal SK, Kumawat G, Shiva Kumar M, Satpute GK, Gill BS, Panwar S, Singh J* and Sharma PC. 2020. Assessing the Effect of Salt Stress on Soybean [Glycine max (L.) Merrillis] Genotypes Using AMMI and GGE Biplot Analysis. Journal of Soil Salinity and Water Quality. 12(1): 95-100 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | The genotype × environment interaction manipulates the selection criteria in a multipurpose crop like soybean. A total 108 soybean genotypes were evaluated at normal tap water (Control), field sodicity conditions (pH 9.0 and 9.3) and saline water (ECiw 5.0 and 8.0 dS m-1) at ICAR-CSSRI, Karnal from 2017-2020. Yield and associated data were analyzed using the AMMI and GGE biplot. The AMMI analysis of variance for seed yield detected significant effects for genotype, environment and genotype × environment interaction. The environment effect was responsible for the greatest part of the variation, followed by genotype and genotype × environment interaction effects. The ‘which-won-where’ feature of the GGE biplot identified wining genotypes SL-1226 and SL-1258 in the saline (up to ECiw 8 dS m-1) and sodic (up to pH 9.3) and SL-1242 in control conditions whereas, PS-1225 across the environment was the most ideal and these genotypes could be used as donor for breeding soybean for salt tolerance. This indicates that characterization of germplasm using GGE and AMMI model is important for determining visual comparisons, adaptability/stability focusing on overall performance to identify superior genotypes. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Journal of Soil Salinity and Water Quality |
| NAAS Rating: | 4.94 |
| Volume No.: | 12 (1) |
| Page Number: | 95-100 |
| Name of the Division/Regional Station: | Division of Crop Improvement |
| Source, DOI or any other URL: | Not Available |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/49614 |
| Appears in Collections: | NRM-CSSRI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 17. Assessing the Effect of Salt Stress on Soybean [Glycine max (L.) Merrillis] Genotypes Using AMMI and GGE Biplot Analysis.pdf | 190.49 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.