Investigating the Effects of Natural and Artificial Seed Deterioration on Reactive Oxygen Species, Antioxidant Enzymes, and Seed Germination Characteristics in Local and Improved Rice (Oryza sativa) Cultivars Derived from the Farms in Guilan Province
Seed Dormancy: A Review on Importance, Dormancy Types and Elimination Methods, with Emphasis on the Trend of Seed Dormancy Research in Iran
The effect of carbon nanotubes, calcium chloride and potassium nitrate on germination traits of Iranian Oak seed (Quercus brantii)
The effect of mesoporous titanium dioxide nanoparticles on germination traits of black saxaul seeds (Haloxylon aphyllum (Minkw.) Iljin) under drought stress
Introduction: Numerous studies are being carried out nowadays to reveal the effects of different treatments on the germination of seeds from various crops.Various methods are used to calculate the parameters related to germination, among which the nonlinear regression is the most common Although different models have been introduced for this method, serious problems in its structure and results motivated researchers to investigate alternative approaches with higher accuracy and precision.The main purpose of the present research is to introduce the time-to-event model and compare its reliability with nonlinear regression in experiments carried out under different conditions. Materials and Methods:The results of four different experiments were used in this study, including the effect of Potassium cyanide on walnut seed germination, the effect of salinity on wheat seed germination, the effect of water potential on corn seed germination, and the effect of temperature on cotton seed germination.The nonlinear regression and time-to-event methods were fitted to the observed data based on the Gompertz model.The obtained standard errors from the two models were further assessed using the Monte Carlo method.Results: Both methods fitted well to the observed data according to the MSE and R 2 criteria.Although the germination parameters were approximately identical in both models, the standard error of parameters in nonlinear regression was significantly less than those of time to event method except for the experiments in which all tested seeds germinated within the time frame of study so that in the latter case the results were identical.The Monte-Carlo method confirmed the results of the time-to-event model and reveals the underestimation of the nonlinear regression method in estimating the standard error of parameters.Conclusions: Overall, the results of this research showed that the time-to-event model can be utilized as a suitable model in seed germination studies under different conditions and treatments.This model, not only provides precise estimates of the germination parameters but also provides the precise standard error of parameters that have important roles in making inferences for parameters.The drc package in R software enables researchers to fit the different time-to-event models.
The Effect of Chilling and Gibberellic Acid on the elimination of Schrophularia striata Seed Dormancy in Different Habitats of Ilam Province
Effect of Zinc and Boron Application on Wheat Mother Plant under Heat Stress on Cell Membrane Integrity of the Produced Seed and Physiological Quality of Seedling
The Effect of Seed Priming and Culture Medium Type on Germination Characteristics and Quality of Tomato Seedlings (Lycopersicon esculentum)
The Effect of Different Pretreatments on Seed Dormancy Elimination and Seed Germination Improvement of Guava (Psidium guajava)
Evaluating the Germination Indices of Different Genotypes of Sesame Plant (Sesamum indicum) Under Salinity Stress
Estimation of Cardinal Temperatures for Tomato (Solanum lycopersicom) Seed Germination Using Nonlinear Regression Models
Evaluating the optimization of irradiation components of mung bean seeds with ultrasound for increased seedling vigor, using artificial neural network
Evaluation and Determination of the Salt Tolerance Threshold of Some Fenugreek (Trigonella foenum-graecum) Ecotypes at Seedling emergence Stage
Investigating the germination characteristics of Chickpea (Cicer arietinum) in response to titanium dioxide nanoparticles priming and drought stress
Evaluation of the effect of maternal Soybean (Glycine max) nutrition on seed quality traits under accelerated aging test
Estimating the cardinal temperatures of germination for Ipomoea hederaceae and Cleome viscosa at constant and alternating temperature conditions
Evaluation of different hormonal and temperature treatments on dormancy breaking of Lavender (Lavandula angustifolia) seed
Dormancy and germination response of Galbanum seeds (Ferula gummosa) under different hormonal pre-treatments and cold stratification
