Modelling the Effects of Water Stress and Temperature on Seed Germination of Radish and Cantaloupe

Cantaloupe (Cucumis melo L.) and radish (Raphanus sativus L.) are considered as important vegetables with potential for national and international markets due to their sugars, vitamins and minerals. This study arranged, therefore, to simultaneously investigate the effect of temperature (T) and water potential (ψ) on seed germination (SG) of these plants using two hydrothermal time (HTT) models and to determine cardinal Ts and base water potential (ψ_b(50)) for both species. The results indicated that SG of both species was more affected by ψ than T (p ≤ 0.001). At Ts below an optimum temperature (T_o) the ψ_b(50) was constant (− 0.582 and − 0.760 MPa for radish and cantaloupe, respectively) and then increased linearly by 0.0481 and 0.0446 MPa °C⁻¹ as T increased above T_o (as thermoinhibition) until 0 MPa at the ceiling temperature (T_c), respectively. As the first report, however, we observed that the T at which ψ_b(50) begins to change was the same here (that is, T_d = T_o), when determined by either model for both species. This result suggests that the assumption in Rowse and Finch-Savage’s model (T_d is often less and or very close to T_o) may be invalid in some cases. For both species, the base temperature (T_b) and T_o were not affected by ψ and were constant while there was an exception only for T_c for which the value declined with decreasing ψs (more negative). In general, the estimated T_b, T_o and T_c were 9.64, 21.3 and 33.0 °C for radish and 11.8, 28.3 and 45.7 °C for cantaloupe in the control condition (ψ = 0 MPa), respectively. The HTT models used here and their parameters, each with strengths and weaknesses, can be used as a predictive tool in both cantaloupe and radish SG simulation models. However, at first, we need to select an appropriate HTT model based on SG behavior of plant species and then use the best model for quantifying the response of SG across Ts and ψs.

     

Quantification of soybean seed germination response to seed deterioration under PEG-induced water stress using hydrotime concept

This experiment was arranged to investigate the ability of hydrotime model (θ_H) for estimating soybean seed germination (cv. ‘JK’) under different accelerated aging periods (AAP, 0, 24, 48, and 72 h) at each of the following water potentials (ψ, 0, ??0.12, ??0.24, and ??0.36 MPa). Results indicated that both germination percentage (GP) and germination rate (GR) significantly influenced by ψ, AAP, and their interactions (P?<?0.01). GP and GR decreased by 62.6 and 47.3% with longer AAP from 0 to 72 h and by 90.7 and 81.5% with lower ψ from zero to ??0.36 MPa as compared to the control, respectively. Therefore, the effect of ψ on GP and GR was more than AAP. The θ_H value was constant (~?6.71 MPa h^?1) till 50.6 h AAP and then linearly declined with the rate of 0.1545 MPa h^?1 per hour increase in AAP until 72 h (~?50% lower than its initial value). The ψ_b(50) value was ? 0.343 MPa in the control and then increased (became more positive) by ~?70% until 72 h AAP (? 0.104 MPa). In general, GP and GR of soybean declined with the increasing ψ_b(50) which can be due to cell membrane damage and reduce the activity of enzymes and organelles during AAP. Based on our findings, the θ_H model could describe well these relationships and their parameters can nicely be used for simulating soybean seed germination under this condition.     

Using hydrothermal time concept to describe sesame (<Emphasis Type="Italic">Sesamum indicum</Emphasis> L.) seed germination response to temperature and water potential

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.     

Quantification of the Effect of Environmental Factors on Seed Germination and Seedling Growth of Eruca (Eruca sativa) Using Mathematical Models

Eruca (Eruca sativa; Brassicaceae) is an important industrial crop due to its ability to grow under a wide range of climatic conditions and in poor fertility lands and also for the quality of seed oil and protein. Seed germination (SG) is an important event in plant’s life history which can significantly be influenced by several environmental factors such as temperature (T), water potential (ψ), salinity, pH, and burial depth. Therefore, this study aimed (i) to investigate the effects of these environmental factors on SG behavior of Eruca using several mathematical models, (ii) to determine the cardinal Ts and tolerance threshold value for each trait (i.e., 50% reduction than its maximum value) affected by the environmental factor, and (iii) to quantify the response of Eruca seedling growth to each environmental factor. The results indicated that Eruca SG and seedling growth were significantly influenced by these factors (P < 0.05). The estimated cardinal Ts were 1 °C for the base T, 30 °C for the optimum T, and 40.8 °C for the ceiling T. The salt and drought tolerance threshold values were 257 mM NaCl and − 1.2 MPa for SG and 247 mM NaCl and − 1 MPa for the seedling growth, respectively, suggesting that the seedling growth was more sensitive than SG under both salt and drought stresses in Eruca. In addition, the maximum SG and seedling growth were observed at pH 7 and burial depth 1.9 cm. In general, the models used in this study could describe well the response of Eruca SG under different levels of environmental factors and also their parameters could easily be used in Eruca SG simulation models. This information also could help us to better manage the production of this plant under stressful conditions and/or to determine its geographic range expansion in the world.