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Optimizing Seed Physiological Maturity and Quality in Camelina Through Plant Density Variation: A Nonlinear Regression Approach

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Abstract

Investigations into the seed physiological maturity (PM) and achieving optimal seed quality (SQ) across varying plant densities are crucial. This is because harvesting seeds at the right time is critical to assure their viability and vigor. The use of nonlinear regression models could estimate the accurate time of PM and SQ in camelina at all plant densities based on days after flowering (DAF) and/or seed moisture content (SMC). To attain this goal, camelina seeds were sown manually at a 2–3 cm burial depth with four plant densities (150, 600, 1050, and 1500 m−2 with ± 5% bias) in eight replicates. Seeds were sampled from 10 DAF at regular intervals every 5 or 10 days (depending on the weather conditions) for all plant densities. We examined the changes in fresh weight, dry weight, moisture content, oil content, and electrical conductivity of seeds. We also studied seed germination rate, normal seedling, and dry weight and length of seedlings about the flowering date across different plant densities. Our results were successful in accurately predicting the timing PM and SQ in camelina across all plant densities using DAF and/or SMC (R2 ≥ 80) as a basis. Besides, no significant difference among all studied plant densities in terms of the studied traits was detected. These findings enable the fine-tuning of agronomic practices, such as determining the optimal harvest period. They also provide valuable support for developmental studies aiming to establish connections between physiological parameters and genetic or physiological factors.

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Data Availability

The data that support this study will be shared upon reasonable request to the corresponding author.

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Acknowledgements

This study was funded by the Genetics and Agricultural Biotechnology Institute of Tabarestan (GABIT), and Sari Agricultural Sciences and Natural Resources University (SANRU), Iran, and the data were shared with the Institut des Régions Arides (IRA-Medenine, Tunisia) based on the memorandum of understanding between both institutes which was signed in January 2020.

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EB, FHS, HG, and NM designed and performed the experiments; EB, FHS, and HG carried out the laboratory work; EB conducted the modeling; EB and RA interpreted the data and wrote the first draft of the manuscript. All authors co-wrote the drafts of the paper and also approved the final version for submission.

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Correspondence to Esmaeil Bakhshandeh or Raoudha Abdellaoui.

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Bakhshandeh, E., Abdellaoui, R., Hosseini Sanehkoori, F. et al. Optimizing Seed Physiological Maturity and Quality in Camelina Through Plant Density Variation: A Nonlinear Regression Approach. Agric Res (2024). https://doi.org/10.1007/s40003-024-00741-7

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