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<p>A study was conducted in a <i>Protea</i> ‘Pink Ice’ stand located in the coastal region of central Chile, within an agroecosystem dominated by Alfisols, with the aim of determining ecophysiological traits relevant to the productive assessment of this crop, given the limited quantitative information available for this cultivar. Floral stems were collected on four sampling dates and evaluated for stem length and diameter, leaf area, specific leaf area, leaf area ratio, and both leaf mass and leaf area per floral stem. The specific leaf area of this <i>Protea</i> cultivar was estimated at 44.8 ± 2.17 cm<sup>2</sup> g⁻<sup>1</sup>. Allometric functions were developed to estimate leaf area from leaf length and leaf number from floral stem length. In addition, a function was proposed for estimating total leaf area per floral stem. These findings support quantitative crop assessment and facilitate rapid, non-destructive estimation of relevant ecophysiological parameters.</p>

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Assessing some ecophysiological traits of Protea ‘Pink Ice’ for the quantification of productive parameters

  • 期刊论文

  • 发表日期：

    2026年2月5日

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  • Enrique Misle,
  • Osvaldo Rojas,
  • Flavia Schiappacasse,
  • Besma Kahlaoui

摘要

A study was conducted in a Protea ‘Pink Ice’ stand located in the coastal region of central Chile, within an agroecosystem dominated by Alfisols, with the aim of determining ecophysiological traits relevant to the productive assessment of this crop, given the limited quantitative information available for this cultivar. Floral stems were collected on four sampling dates and evaluated for stem length and diameter, leaf area, specific leaf area, leaf area ratio, and both leaf mass and leaf area per floral stem. The specific leaf area of this Protea cultivar was estimated at 44.8 ± 2.17 cm2 g⁻1. Allometric functions were developed to estimate leaf area from leaf length and leaf number from floral stem length. In addition, a function was proposed for estimating total leaf area per floral stem. These findings support quantitative crop assessment and facilitate rapid, non-destructive estimation of relevant ecophysiological parameters.