Genetic diversity in F3 segregating populations of rice (Oryza sativa L.) genotypes under salt stress

Rice is an important cereal crop rich in starch and carbohydrates grown around the globe. Despite its significance, rice exhibits substantial genetic variation, particularly under environmental stresses such as salinity. This study investigates the genetic diversity of F3 segregating populations of rice under normal and salt stress. Various segregating genotypes were evaluated, demonstrating statistically significant differences (p<0.01 and p<0.05, ANOVA) in morphological and physiological parameters. The genotypes Kharagnjia and L-12 performed well in normal soils, while Shua-92 and L-20 showed better performance in tiller plant-1 and panicle length. The cluster analysis grouped rice genotypes into four major clusters based on genetic similarity. Principal Component Analysis (PCA) identified tillers per plant, panicle length, grain yield per plant, and leaf area as key contributors to genetic variation. The highest variability was observed in PC-XII (100%) and PC-XI (98.3%). These findings provide valuable insights for breeding programs aimed at enhancing salt tolerance in rice.

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Publication Details

Journal
Frontiers in Plant Science
Published
2025-04-08
DOI
https://doi.org/10.3389/fpls.2025.1568859
Citations
3
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
5.25
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Genetic diversity in F3 segregating populations of rice (Oryza sativa L.) genotypes under salt stress

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article

Genetic diversity in F3 segregating populations of rice (Oryza sativa L.) genotypes under salt stress

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article en
3 citations

Abstract

Rice is an important cereal crop rich in starch and carbohydrates grown around the globe. Despite its significance, rice exhibits substantial genetic variation, particularly under environmental stresses such as salinity. This study investigates the genetic diversity of F3 segregating populations of rice under normal and salt stress. Various segregating genotypes were evaluated, demonstrating statistically significant differences (p<0.01 and p<0.05, ANOVA) in morphological and physiological parameters. The genotypes Kharagnjia and L-12 performed well in normal soils, while Shua-92 and L-20 showed better performance in tiller plant-1 and panicle length. The cluster analysis grouped rice genotypes into four major clusters based on genetic similarity. Principal Component Analysis (PCA) identified tillers per plant, panicle length, grain yield per plant, and leaf area as key contributors to genetic variation. The highest variability was observed in PC-XII (100%) and PC-XI (98.3%). These findings provide valuable insights for breeding programs aimed at enhancing salt tolerance in rice.

Frontiers in Plant ScienceVol. 16
Shanxi Agricultural University (CN), Chinese Academy of Sciences (CN), Guangzhou University (CN), University of East (PK), Institute of Geographic Sciences and Natural Resources Research (CN)
Zero hunger
Openalex Percentile: Top 6%
Rice Cultivation and Yield Improvement
5.25
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