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"Rolled-upness": phenotyping leaf rolling in cereals using computer vision and functional data analysis approaches.

X R R Sirault1, A G Condon2, J T Wood3

  • 1Research School of Biology, Australian National University, GPO Box 475, Canberra, ACT 2601 Australia ; CSIRO Agriculture, GPO Box 1600, Canberra, ACT 2601 Australia.

Plant Methods
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Summary

Wheat leaves roll during drought, a trait improved by new methods. This study quantifies leaf rolling objectively, aiding in breeding drought-resilient wheat varieties.

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Convex hullDigital phenotypingLeaf water potentialMean curvaturePolyethylene glycol (PEG)Spline analysis

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Area of Science:

  • Plant physiology
  • Agronomy
  • Genetics

Background:

  • Wheat flag leaves roll cylindrically under drought stress, an adaptive mechanism to conserve water.
  • This leaf rolling trait is crucial for maintaining leaf area duration and improving grain yield, especially in arid conditions.
  • Traditional methods for quantifying leaf rolling are often confounded by differences in water uptake and transpiration, hindering objective comparisons.

Purpose of the Study:

  • To develop and validate a novel, objective method for quantifying leaf rolling propensity in wheat (Triticum aestivum L.).
  • To minimize confounding factors in assessing leaf rolling, enabling precise comparisons between wheat varieties and treatments.
  • To provide a tool for genetically dissecting the hydronastic leaf rolling trait in cereals.

Main Methods:

  • Leaf strips were immersed in an osmoticum to induce controlled leaf rolling.
  • Micro-photographs of leaf cross-sections were analyzed using two quantitative approaches: convex hull properties and cubic smoothing splines.
  • Cubic smoothing splines were used to mathematically approximate leaf shape and derive a statistic for comparison.

Main Results:

  • The developed method provides objective measurements of leaf curvature, termed "rolled-upness."
  • Both convex hull and spline-based approaches successfully differentiated between wheat lines with contrasting leaf rolling tendencies.
  • The spline approach distinguished between upward and downward curvature and identified the location of maximum curvature.

Conclusions:

  • Smoothing splines applied to wheat leaf cross-sections offer an objective method for measuring inter-genotypic variation in hydronastic leaf rolling.
  • Mean curvature of the leaf cross-section was identified as a straightforward and effective measure for genotype discrimination.
  • This method has broad applicability for studying and genetically dissecting leaf rolling in cereals.