Vol. 39 No. 3 (2025)
Articles

Digital and multivariate analysis of lettuce seed vigor: Impact of hydropriming on physiological potential

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  • H.A. Trujillo,
  • F.C. Assis de Oliveira,
  • C.M. Villegas Lobos,
  • M. da Silva,
  • F.G. Gomes-Junior
H.A. Trujillo
Department of Crop Science, University of São Paulo, 'Luiz de Queiroz' College of Agriculture, Av. 11 Pádua Dias, 13418-900 Piracicaba, SP, Brazil.
F.C. Assis de Oliveira
Department of Exact Sciences, University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Av. 11 Pádua Dias, 13418-900 Piracicaba, SP, Brazil.
C.M. Villegas Lobos
Department of Exact Sciences, University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Av. 11 Pádua Dias, 13418-900 Piracicaba, SP, Brazil.
M. da Silva
Department of Exact Sciences, University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Av. 11 Pádua Dias, 13418-900 Piracicaba, SP, Brazil.
F.G. Gomes-Junior
Department of Crop Science, University of São Paulo, 'Luiz de Queiroz' College of Agriculture, Av. 11 Pádua Dias, 13418-900 Piracicaba, SP, Brazil.
DOI: https://doi.org/10.36253/ahsc-17532
Categories

Published 2025-11-05

Keywords

  • Applied statistics,
  • image analysis,
  • physiological variability,
  • seed priming

How to Cite

Trujillo, H. A., Assis de Oliveira, F. C., Villegas Lobos, C. M., da Silva, M., & Gomes-Junior, F. G. (2025). Digital and multivariate analysis of lettuce seed vigor: Impact of hydropriming on physiological potential. Advances in Horticultural Science, 39(3), 165–173. https://doi.org/10.36253/ahsc-17532

Copyright (c) 2025 Heiber Andres Trujillo, Francisco Canindé Assis de Oliveira, Cristian Marcelo Villegas Lobos, Marcelo da Silva, Francisco Guilhien Gomes-Junior

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

Digital image analysis has emerged as a highly precise and efficient methodology for assessing the physiological attributes of seeds. This research aimed to assess the morphological and physiological properties of lettuce seeds subjected to hydropriming using multivariate statistical approaches. Two lettuce genotypes, Roxa and Vanda, were evaluated under hydropriming treatments (primed-dry and primed-stored). Seedlings were digitally scanned, and vigor indices were quantified using the Seed Vigor Imaging System (SVIS®). Data were analyzed by multivariate analysis of variance (MANOVA), with tests of normality and homogeneity of covariance ensuring analytical robustness. The primed-dry treatment resulted in minimal improvement in vigor and uniformity, while the primed-stored treatment promoted a partial recovery of these attributes. The Roxa genotype exhibited greater variability in vigor and seedling length, whereas Vanda demonstrated higher uniformity but slightly reduced seedling growth. A strong positive correlation was observed between the vigor index and seedling length, reinforcing the importance of these parameters in seed quality assessment. These findings underscore the utility of digital image analysis combined with multivariate statistical methods for the accurate assessment of seed vigor, thereby improving seed-lot classification and informing decision-making in lettuce production systems.

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