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Using hydrothermal time concept to describe sesame (Sesamum indicum L.) seed germination response to temperature and water potential
Authors:Esmaeil Bakhshandeh  Mohsen Jamali  Esmaeil Afshoon  Mobina Gholamhossieni
Affiliation:1.Genetics and Agricultural Biotechnology Institute of Tabarestan,Sari Agricultural Sciences and Natural Resources University,Sari,Iran;2.Department of Agro-Ecology,Shahid Beheshti University,Tehran,Iran;3.Department of Agronomy,University of Tehran,Tehran,Iran;4.Seed Science and Technology,University of Mohaghegh Ardabili,Ardabil,Iran
Abstract:To quantify both temperature (T) and water potential (ψ) effects on sesame (Sesamum indicum L.) seed germination (SG) and also to determine the cardinal T s for this plant, a laboratory experiment was carried out using hydrothermal time model (HTT). For this purpose, four sesame cultivars (‘Asbomahalleh’, ‘Darab’, ‘Dashtestan’ and ‘Yellowhite’) were germinated at seven constant T s (20, 25, 30, 35, 37, 39 and 43 °C) at each of the following ψ s (0, ? 0.12, ? 0.24 and ? 0.36 MPa; provided by PEG 8000). Germination rate (GR) and germination percentage (GP) significantly influenced by ψ, T and their interactions in all cultivars (P ≤ 0.01). There was no significant difference, based on the confidence intervals of the model coefficients, between cultivars, so an average of cardinal T s was 14.7, 35.4 and 47.2 °C for the minimum (T b), optimum (T o) and maximum (T c) T s, respectively, in the control condition (0 MPa). Hydrotime values in all cultivars decreased when T was increased to T o and then remained constant at T s > T o (15 MPa h?1). An average value of ψ b(50) was estimated to be ? 1.23 MPa at T s ≤ T o and then increased linearly (0.1041 MPa°Ch?1, the slope of the relationship between ψ b(50) and supra-optimal T s) with T when T s increased above T o and finally reached to zero at T c. The T b and T o values were not influenced by ψ, but T c value decreased (from 47.2 for zero to 43.5 °C for ? 0.36 MPa) at supra-optimal T s as a result of the effect of ψ on GR. Based on our findings, this model (as a predictive tool) and or the estimated parameter values in this study can easily be used in sesame SG simulation models to quantitatively characterize the physiological status of sesame seed populations at different T s and ψ s.
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