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<p><i>Mimosa caesalpiniifolia</i> Benth. (Fabaceae), or sabiá, is native to the Caatinga and essential for degraded ecosystems, as it fixes nitrogen and favors regeneration. Its seeds have morphometric characteristics that are important for reproductive ecology and conservation. However, measuring them accurately is challenging due to natural variability and the need for advanced methods such as digital images and statistical analysis. Therefore, the objective of this study was to evaluate the potential of digital image analysis in seeds and morphometrically characterize <i>M. caesalpiniifolia</i> seeds with the aim of applying genetic divergence in traits for mother tree selection. For this purpose, four progenies from four different origins in the states of Ceará, Paraíba, Pernambuco, and Rio Grande do Norte were selected, totaling 16 progenies. The genetic diversity of the seeds was evaluated using two methods: digital caliper and ImageJ® program. Subsequently, Pearson’s correlation analyses between the methods, as well as phenotypic and genotypic correlation analyses between morphometric variables, multivariate, and genetic analyses were conducted. Genotypic variance was significant (<i>p</i> &lt; 0.05) for most traits, with high heritability values (H<sup>2</sup> &gt; 0.60) for seed area, perimeter, width, and length, indicating strong genetic control. The digital image processing proved to be efficient in discriminating the morphometric differences among the studied origins, which exhibited variations in morphometric aspects due to the genetic differences of the species, aiding in the differentiation of genotypes. This study demonstrates the potential of digital image analysis as a rapid and precise tool for the morphometric characterization of <i>M. caesalpiniifolia</i> seeds, enabling the identification of genetic divergence and facilitating the selection of seed-producing genotypes for conservation and breeding efforts.</p>

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Morphometry of Mimosa caesalpiniifolia Benth. (Fabaceae) seeds through digital image analysis in a genetic divergence study

  • 期刊论文

  • 发表日期：

    2025年10月16日

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  • Paulo César da Silva Santos,
  • Moema Barbosa de Sousa,
  • Carlos Luiz da Silva,
  • Erika Rayra Lima Nonato,
  • Eliane Cristina Sampaio de Freitas,
  • Marcone Moreira Santos,
  • Ricardo Gallo

摘要

Mimosa caesalpiniifolia Benth. (Fabaceae), or sabiá, is native to the Caatinga and essential for degraded ecosystems, as it fixes nitrogen and favors regeneration. Its seeds have morphometric characteristics that are important for reproductive ecology and conservation. However, measuring them accurately is challenging due to natural variability and the need for advanced methods such as digital images and statistical analysis. Therefore, the objective of this study was to evaluate the potential of digital image analysis in seeds and morphometrically characterize M. caesalpiniifolia seeds with the aim of applying genetic divergence in traits for mother tree selection. For this purpose, four progenies from four different origins in the states of Ceará, Paraíba, Pernambuco, and Rio Grande do Norte were selected, totaling 16 progenies. The genetic diversity of the seeds was evaluated using two methods: digital caliper and ImageJ® program. Subsequently, Pearson’s correlation analyses between the methods, as well as phenotypic and genotypic correlation analyses between morphometric variables, multivariate, and genetic analyses were conducted. Genotypic variance was significant (p < 0.05) for most traits, with high heritability values (H2 > 0.60) for seed area, perimeter, width, and length, indicating strong genetic control. The digital image processing proved to be efficient in discriminating the morphometric differences among the studied origins, which exhibited variations in morphometric aspects due to the genetic differences of the species, aiding in the differentiation of genotypes. This study demonstrates the potential of digital image analysis as a rapid and precise tool for the morphometric characterization of M. caesalpiniifolia seeds, enabling the identification of genetic divergence and facilitating the selection of seed-producing genotypes for conservation and breeding efforts.