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Integrating data from asymmetric multi-models can identify drought-resistant groundnut genotypes for drought hot-spot locations.
- Source :
-
Scientific reports [Sci Rep] 2023 Aug 05; Vol. 13 (1), pp. 12705. Date of Electronic Publication: 2023 Aug 05. - Publication Year :
- 2023
-
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.<br /> (© 2023. Springer Nature Limited.)
- Subjects :
- Genotype
Seasons
Base Sequence
India
Droughts
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 13
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 37543669
- Full Text :
- https://doi.org/10.1038/s41598-023-38581-0