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May 29, 2026Plants0 citationsOpen Access

Identification of Promising Amaranth (Amaranthus spp.) Genotypes Through Multivariate Analysis of Quantitative and Qualitative Descriptors in Boyacá

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ACAna Cruz Morillo CoronadoIDIvon Alexandra Díaz-BaquiroAPAna Lucía Pérez-Salamanca

Key Points

  • This research aimed to characterize the morpho-agronomic properties of amaranth genotypes to identify promising cultivars for food security.
  • Evaluated 11 amaranth cultivars under greenhouse conditions, assessing 6 quantitative and 19 qualitative descriptors.
  • Utilized Pearson correlation analysis, principal component analysis, and mixed multivariate clustering to analyze data.
  • Classified genotypes into six distinct groups based on morpho-agronomic traits.
  • Genotype 10 showed the highest yield estimated at 642.94 kg/ha and a 1000 seed weight of 0.91 g.
  • Significant positive correlations were found between leaf dimensions and plant height.
  • High phenotypic variability was demonstrated, with leaf width and length showing the highest coefficients of variation.

Abstract

Amaranth (Amaranthus spp.) is a pseudocereal with high nutritional value and tolerance to abiotic stresses, essential for food security; however, its use in Boyacá, Colombia, is limited due to a lack of genetic studies. This research aimed to characterize the morpho-agronomic properties of 11 cultivars under greenhouse conditions in Tunja, Boyacá. Six quantitative variables and 19 qualitative descriptors were evaluated using Pearson correlation analysis, principal component analysis, and mixed multivariate clustering. The results revealed a wide phenotypic variability, with leaf width (33.15%) and leaf length (31.21%) showing the highest coefficients of variation. Significant positive correlations were identified between leaf dimensions and plant height, while pigmentation in leaves, stems, and inflorescences proved to be the most discriminating characteristic. The mixed cluster analysis classified the genotypes into six distinct groups, highlighting genotype 10 as the most promising material due to its estimated yield (642.94 kg/ha) and 1000 seed weight (0.91 g), followed by genotypes 2 and 8. It is concluded that there is a high genetic potential in the evaluated materials, and the use of the outstanding genotypes in multi-site field trials is recommended to strengthen regional plant breeding programs.

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Cite This Study

Coronado et al. (2026) studied this question.

synapsesocial.com/papers/6a192f1bfab5b468c44187b8https://doi.org/10.3390/plants15111648
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