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Modeling the leaf angle dynamics in rice plant.

Yonghui Zhang1,2, Liang Tang2, Xiaojun Liu2

  • 1Computer Engineering School, Weifang University, Weifang, P. R. China.

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|February 17, 2017
PubMed
Summary
This summary is machine-generated.

A dynamic model for rice leaf angle between stem and sheath (SSA) was developed. This model accurately predicts SSA changes based on nitrogen rates and cultivar, aiding virtual rice plant design.

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Area of Science:

  • Agricultural Science
  • Plant Physiology
  • Agronomy

Background:

  • Leaf angle between stem and sheath (SSA) is a critical rice morphological trait influencing plant architecture and light interception.
  • Understanding SSA dynamics under varying nitrogen (N) levels is crucial for optimizing rice cultivation and breeding.
  • Existing models may not fully capture the complex interactions between N availability, cultivar, and SSA over time.

Purpose of the Study:

  • To develop and validate a dynamic model for predicting rice SSA.
  • To quantify the effects of different nitrogen rates and rice cultivars on SSA.
  • To provide a tool for virtual rice plant modeling and plant-type design.

Main Methods:

  • Collected time-course SSA data over three years for two selected rice cultivars under varying N rates.
  • Developed a dynamic SSA model incorporating thermal time (TT) using a logistic equation.
  • Introduced a variety parameter and a nitrogen factor to account for cultivar and N rate influences.

Main Results:

  • SSA increased with tiller age and N rate for the same leaf rank.
  • Maximum SSA showed a specific pattern with leaf rank, described by a linear piecewise function.
  • The model validation yielded a relative root mean square error (RRMSE) of 11.56% (pot) and 14.05% (field).

Conclusions:

  • The developed dynamic SSA model accurately predicts rice leaf angle under different N rates and cultivars.
  • The model provides a valuable tool for simulating rice growth and designing improved plant types.
  • This research contributes to precision agriculture and breeding strategies for enhanced rice production.