Integrating data from asymmetric multi-models can identify drought-resistant groundnut genotypes for drought hot-spot locations
Abstract Water/drought stress experiments are frequently conducted under imposed stress or rainout shelters, while natural drought hot-spot investigations are rare. The “drought hot spot” in Anantapur, Andhra Pradesh, India, is appropriate for drought stress evaluation due to its hot, arid environme...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-38581-0 |
| _version_ | 1797559810487484416 |
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| author | B. C. Ajay Narendra Kumar Praveen Kona K. Gangadhar Kirti Rani G. A. Rajanna S. K. Bera |
| author_facet | B. C. Ajay Narendra Kumar Praveen Kona K. Gangadhar Kirti Rani G. A. Rajanna S. K. Bera |
| author_sort | B. C. Ajay |
| collection | DOAJ |
| description | Abstract Water/drought stress experiments are frequently conducted under imposed stress or rainout shelters, while natural drought hot-spot investigations are rare. The “drought hot spot” in Anantapur, Andhra Pradesh, India, is appropriate for drought stress evaluation due to its hot, arid environment, limited rainfall, with over 50% rainfall variability. According to reports, 30 out of 200 groundnut cultivars in India are supposed to possess drought-tolerant characteristics. However, these cultivars are yet to be evaluated in areas that are prone to drought. This study tested these drought-tolerant genotypes in naturally drought-prone areas of Anantapur under rainfed conditions from Kharif 2017 to 2019. Pod yield and rainfall-use-efficiency (RUE) were measured for these genotypes. Genotype and genotype*environment interactions affected pod yield and RUE (GEI). The AMMI model exhibits significant season-to-season variability within the same area with environmental vectors > 90° angles. GGE biplot suggested the 2018 wet season for drought-resistant cultivar identification. Kadiri5 and GPBD5 were the most drought-tolerant cultivars for cultivation in Anantapur and adjacent regions. These types could also be used to generate drought-tolerant groundnut variants for drought-prone regions. |
| first_indexed | 2024-03-10T17:50:33Z |
| format | Article |
| id | doaj.art-11880c1a1ede45ffbb139eb70c8cdcd5 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-10T17:50:33Z |
| publishDate | 2023-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-11880c1a1ede45ffbb139eb70c8cdcd52023-11-20T09:20:59ZengNature PortfolioScientific Reports2045-23222023-08-0113111110.1038/s41598-023-38581-0Integrating data from asymmetric multi-models can identify drought-resistant groundnut genotypes for drought hot-spot locationsB. C. Ajay0Narendra Kumar1Praveen Kona2K. Gangadhar3Kirti Rani4G. A. Rajanna5S. K. Bera6ICAR-Directorate of Groundnut ResearchICAR-Directorate of Groundnut ResearchICAR-Directorate of Groundnut ResearchICAR-Directorate of Groundnut ResearchICAR-Directorate of Groundnut ResearchICAR-Directorate of Groundnut ResearchICAR-Directorate of Groundnut ResearchAbstract Water/drought stress experiments are frequently conducted under imposed stress or rainout shelters, while natural drought hot-spot investigations are rare. The “drought hot spot” in Anantapur, Andhra Pradesh, India, is appropriate for drought stress evaluation due to its hot, arid environment, limited rainfall, with over 50% rainfall variability. According to reports, 30 out of 200 groundnut cultivars in India are supposed to possess drought-tolerant characteristics. However, these cultivars are yet to be evaluated in areas that are prone to drought. This study tested these drought-tolerant genotypes in naturally drought-prone areas of Anantapur under rainfed conditions from Kharif 2017 to 2019. Pod yield and rainfall-use-efficiency (RUE) were measured for these genotypes. Genotype and genotype*environment interactions affected pod yield and RUE (GEI). The AMMI model exhibits significant season-to-season variability within the same area with environmental vectors > 90° angles. GGE biplot suggested the 2018 wet season for drought-resistant cultivar identification. Kadiri5 and GPBD5 were the most drought-tolerant cultivars for cultivation in Anantapur and adjacent regions. These types could also be used to generate drought-tolerant groundnut variants for drought-prone regions.https://doi.org/10.1038/s41598-023-38581-0 |
| spellingShingle | B. C. Ajay Narendra Kumar Praveen Kona K. Gangadhar Kirti Rani G. A. Rajanna S. K. Bera Integrating data from asymmetric multi-models can identify drought-resistant groundnut genotypes for drought hot-spot locations Scientific Reports |
| title | Integrating data from asymmetric multi-models can identify drought-resistant groundnut genotypes for drought hot-spot locations |
| title_full | Integrating data from asymmetric multi-models can identify drought-resistant groundnut genotypes for drought hot-spot locations |
| title_fullStr | Integrating data from asymmetric multi-models can identify drought-resistant groundnut genotypes for drought hot-spot locations |
| title_full_unstemmed | Integrating data from asymmetric multi-models can identify drought-resistant groundnut genotypes for drought hot-spot locations |
| title_short | Integrating data from asymmetric multi-models can identify drought-resistant groundnut genotypes for drought hot-spot locations |
| title_sort | integrating data from asymmetric multi models can identify drought resistant groundnut genotypes for drought hot spot locations |
| url | https://doi.org/10.1038/s41598-023-38581-0 |
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