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.

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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
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article

Molecular characterization and genetic diversity of potential drought-tolerant F 3 progenies from Salumpikit × IR20 cross

Santika Sari, Citra Bakti, Zulfa Afifah, Farida Damayanti et al.
Cogent Food & Agriculture
Rice Cultivation and Yield Improvement
article

Molecular characterization and genetic diversity of potential drought-tolerant F 3 progenies from Salumpikit × IR20 cross

Santika Sari, Citra Bakti, Zulfa Afifah, Farida Damayanti, Nono Carsono, Isabela Anjani
article en

Abstract

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.

Cogent Food & AgricultureVol. 12(1)
Padjadjaran University (ID)
Climate action
Openalex Percentile: Top 7%
Rice Cultivation and Yield Improvement
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Molecular characterization and genetic diversity of potential drought-tolerant F <sub>3</sub> progenies from Salumpikit × IR20 cross — Santika Sari, Citra Bakti, et al. · Cogent Food & Agriculture (2026) | TGRS Research Map | TGRS