Using Nonlinear Regression Model for Estimation of Cardinal Temperatures in Three Medicinal Plants

Authors

  • Hamideh Khalaj Department of Agronomy, Payam Noor University, P.O. Box 19395-3697, Tehran, Iran.
  • Iraj Allahdadi Department of Agronomy, University of Tehran, Aburaihan Campus, Tehran, Iran.
  • Hamid Iranejad Department of Agronomy, University of Tehran, Aburaihan Campus, Tehran, Iran.
  • Gh Abbas Akbari Department of Agronomy, University of Tehran, Aburaihan Campus, Tehran, Iran.
  • Mahdi Min Bashi Department of Weed Research, Plant Research Institute, Tehran, Iran.
  • Mohammadali Baghestani Department of Weed Research, Plant Research Institute, Tehran, Iran.
  • Mohammadreza Labbafi Medicinal Plants Research Center, Institute of Medicinal plants, ACECR, Karaj, Iran.
  • Ali Mehrafarin Medicinal Plants Research Center, Institute of Medicinal plants, ACECR, Karaj, Iran.

Keywords:

medicinal plants, seed germination rate, nonlinear regression model, cardinal temperatures

Abstract

Medicinal plants have been used as a source of remedies since ancient times. Most medicinal plants in Iran are herbs and they have dormancy and a special biological cycle. Knowledge of this cycle is required to grow these plants. Understanding the response of seed germination in medicinal plants to temperature involves selecting the best nonlinear regression models for the prediction of their seed germination, the characterization of their germination pattern and the prediction of the cardinal temperatures of medicinal plants. Thus, to understand the medicinal seed germination response to temperature, an experiment was conducted at the University of Tehran, Iran in 2011. The germination rate of three medicinal plants—wild oat (Avena fatua L.), wild mustard (Sinapis arvensis L.) and Descurania Sophia (L.)—was calculated at different temperatures (0, 5, 10, 15, 20, 25, 30, 35, 40 and 45 °C) based on a completely randomized design with three replications. Three nonlinear regression (segmented, dent-like, beta) approaches were applied to model the germination rate. The analysis of variance showed that temperature had a significant effect on the seed germination rate. Among models, the segmented model was the best for the three plants and the cardinal temperatures were estimated by this model. The base, optimum and ceiling temperatures for wild oat, wild mustard and D. Sophia were estimated as1.6, 10.2 and 29.3 °C and 2.01, 15 and 30.6 °C and 1.2, 29.6 and 35 °C, respectively. The germination models based on temperature can used for the prediction of cardinal temperatures.

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Published

2015-04-30

How to Cite

Khalaj, Hamideh, Iraj Allahdadi, Hamid Iranejad, Gh Abbas Akbari, Mahdi Min Bashi, Mohammadali Baghestani, Mohammadreza Labbafi, and Ali Mehrafarin. 2015. “Using Nonlinear Regression Model for Estimation of Cardinal Temperatures in Three Medicinal Plants”. Agriculture and Natural Resources 49 (2). Bangkok, Thailand:165-73. https://li01.tci-thaijo.org/index.php/anres/article/view/243549.

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Section

Research Article