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September 26, 2025Australian Journal of Crop ScienceOpen Access

Post-harvest associations between the soluble solids content and the main dependant components related to the biometry of strawberry cv. Selva

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Authors

DSDayane Bortoloto da SilvaKSKarina da Silva SouzaDCDouglas Garrio Carfane

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Overview

Path analysis reveals key biometric traits influencing soluble solids content in strawberry, suggesting new breeding strategies.

Key Points

  • Path analysis shows length as the strongest predictor of soluble solids content in strawberries, impacting sweetness.
  • Fresh mass exhibited a negative effect on soluble solids content, highlighting nonlinear relationships among traits.
  • The model identified significant variability in strawberry traits, including fresh mass up to 27.40 g and soluble solids content from 3.50 to 13.69%.
  • This study emphasizes the potential of using morphometric traits for improving strawberry sweetness through breeding programs.

Cite This Study

Silva et al. (2025) studied this question.

synapsesocial.com/papers/68d6c682b1249cec298b289ahttps://doi.org/10.21475/ajcs.25.19.07.p348
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Genetic Mapping of Quantitative Trait Loci for Fruit Mass, Total Soluble Solids and Susceptibility to Water Soaking in a Strawberry ( <i>Fragaria</i> spp.) Model Population2026
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  3. 3Study on the Path Coefficient Analysis of Certain Matric Traits in Brinjal (Solanum melongena L.)2024
  4. 4Genome-wide association studies in a diverse strawberry collection unveil loci controlling agronomic and fruit quality traits2024 · 3 citations
  5. 5Regulatory insight into the metabolic changes of sugars and organic acids during strawberry ripening: Roles of phytohormones, genes and transcription factors2026 · 2 citations