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<p>Sugarcane is a globally important crop cultivated in over 100 countries, serving as a primary source of sugar and bioethanol while supporting rural economies and sustainable agriculture through its high biomass yield, adaptability, and ongoing genetic improvement for climate resilience. As climate change intensifies drought and salinity stress in key production regions, breeding stress-tolerant cultivars has become essential. This study applied Euclidean distance metrics for simultaneous trait selection, evaluating six <i>in vitro</i> culture–derived, potentially mutant, sugarcane plantlets cultivated in planting beds. Morphological traits, such as shoot height, stem diameter, and tillering capacity, along with biochemical indicators, including chlorophyll content, soluble phenolics, and aldehyde accumulation, revealed substantial variation and differential stress responses. Standardization and Euclidean analysis quantified each plantlet’s divergence from expert-defined ideal profiles, identifying genotypes with agronomic and biochemical indicators closely aligned with the target values. These findings demonstrated the effectiveness of multivariate selection in sugarcane improvement, with Euclidean metrics providing a holistic framework for ranking candidates and guiding future field validation under climate-challenged conditions. Plantlet 11 exhibited the highest Euclidean distance (2.23) from the expert breeder’s reference profile, indicating the greatest deviation from the target indicators. Conversely, plantlet 12 achieved the most favorable integral evaluation, with the lowest observed Euclidean distance (1.15), reflecting the closest alignment with the desired traits.</p>

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Application of Euclidean distance for multi-trait selection in in vitro–derived sugarcane mutant candidates

  • 期刊论文

  • 发表日期：

    2025年11月5日

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  • Alberto Lozada,
  • Daniela Pérez-Díaz,
  • Yanier Acosta,
  • Julio César Quintana-Zaez,
  • Barbarita Companioni,
  • Byron E. Zevallos–Bravo,
  • María de Lourdes Tapia y Figueroa,
  • Eulalia Ojeda,
  • José Carlos Lorenzo

摘要

Sugarcane is a globally important crop cultivated in over 100 countries, serving as a primary source of sugar and bioethanol while supporting rural economies and sustainable agriculture through its high biomass yield, adaptability, and ongoing genetic improvement for climate resilience. As climate change intensifies drought and salinity stress in key production regions, breeding stress-tolerant cultivars has become essential. This study applied Euclidean distance metrics for simultaneous trait selection, evaluating six in vitro culture–derived, potentially mutant, sugarcane plantlets cultivated in planting beds. Morphological traits, such as shoot height, stem diameter, and tillering capacity, along with biochemical indicators, including chlorophyll content, soluble phenolics, and aldehyde accumulation, revealed substantial variation and differential stress responses. Standardization and Euclidean analysis quantified each plantlet’s divergence from expert-defined ideal profiles, identifying genotypes with agronomic and biochemical indicators closely aligned with the target values. These findings demonstrated the effectiveness of multivariate selection in sugarcane improvement, with Euclidean metrics providing a holistic framework for ranking candidates and guiding future field validation under climate-challenged conditions. Plantlet 11 exhibited the highest Euclidean distance (2.23) from the expert breeder’s reference profile, indicating the greatest deviation from the target indicators. Conversely, plantlet 12 achieved the most favorable integral evaluation, with the lowest observed Euclidean distance (1.15), reflecting the closest alignment with the desired traits.