Molecular characterization and genetic diversity of potential drought-tolerant F <sub>3</sub> progenies from Salumpikit × IR20 cross
Climate change poses a significant challenge to rice production, underscoring the need to develop drought-tolerant varieties. Marker-assisted selection (MAS) provides an efficient tool to accelerate this selection process. This study evaluated the genetic diversity of an F3 rice population derived from Salumpikit × IR20, and identified potential drought tolerance genotypes using SSR markers. A total of 120 F3 progenies, along with seven check varieties, were evaluated with ten SSR markers. Five markers (RM316, RM228, RM454, RM6703, and RM11943) detected Salumpikit-derived alleles and showed moderate to high polymorphism (PIC = 0.46–0.59). Allelic richness ranged from 12.40 (RM228) to 21.50 (RM454), with an average 17.40. AMOVA revealed 94% of the genetic variation occurred within the population. UPGMA grouped genotypes into two clusters at a similarity of 0.25, whereas STRUCTURE and PCoA divided them into four subgroups. Salumpikit and IRAT112 formed distinct groups, suggesting diverse drought adaptation mechanisms. Interestingly, INPARI39, a moderately drought-tolerant check, clustered with susceptible varieties, indicating limitations in marker-based classification. In total, Sixty F3 genotypes grouped with drought-tolerant checks, representing potential candidates for selection. These findings support the utility of SSR markers for assessing diversity and selecting potential drought-tolerant rice genotypes for future breeding programs.
Authors
- Santika Sari (ORCID: https://orcid.org/0000-0001-7029-0726)
- Citra Bakti (ORCID: https://orcid.org/0000-0001-9011-2679)
- Zulfa Afifah
- Farida Damayanti (ORCID: https://orcid.org/0000-0001-6080-9547)
- Nono Carsono (ORCID: https://orcid.org/0000-0002-1813-3149)
- Isabela Anjani
Institutions
- Padjadjaran University (ID)
Publication Details
- Journal
- Cogent Food & Agriculture
- Published
- 2026-06-13
- DOI
- https://doi.org/10.1080/23311932.2026.2683755
- Primary Topic
- Rice Cultivation and Yield Improvement
- Type
- article
- Field-Weighted Citation Impact
- 0.00