vahid amiri monfared; Reza Tavakkol afshari
Abstract
In many studies, the properties of the drug and the impact of anise on the body's mechanisms of activity have been proven. . Salinity stress is a non-living stress that has adverse effects on seed germination. In order to study the effect of temperature on germination of anis under salinity stress, a ...
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In many studies, the properties of the drug and the impact of anise on the body's mechanisms of activity have been proven. . Salinity stress is a non-living stress that has adverse effects on seed germination. In order to study the effect of temperature on germination of anis under salinity stress, a factorial with six temperature levels (5, 10, 15, 20, 25, 30) in terms of temperature and seven levels of salinity (0, 2, 4-, 6-, 8-, 10-, 12-bar) of sodium chloride. The results of the experiment showed that germination percentage, germination rate, time to 50% germination and time to 90% germination were significantly affected by salinity, temperature and their interaction. Increasing salinity levels significantly reduced all studied traits. At a temperature below 10 ° C (5 ° C), germination percentage was significantly lower. Regarding the problem of salinity in regions where the temperature problem is high, based on the results, it was found that the seeds of the anise are susceptible to salinity and heat.
vahid amiri monfared; Reza Tavakkol afshari; arash mamedi
Abstract
The prediction of seed viability is important for seed producers, and its prediction in storage depends on the understanding of the quantitative relationships between seed loss, seed moisture and storage temperature. In order to study the effect of temperature, seed and time on the deterioration of the ...
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The prediction of seed viability is important for seed producers, and its prediction in storage depends on the understanding of the quantitative relationships between seed loss, seed moisture and storage temperature. In order to study the effect of temperature, seed and time on the deterioration of the anise seed, and also quantitative characterization of this effect and determining the coefficients of life, this study was carried out in a randomized complete block design in a factorial experiment in the Agricultural Laboratory of Tehran University. The temperature was measured at 4 levels (5, 15, 25 and 35 o C), soil moisture contents in 4 levels (5, 9, 13 and 17%) and six times (one, two, three, four, five and six months) as the factors were this test. The results of analysis of variance showed that the effect of temperature on seed moisture content was significant for germination indices at 1% level. With increasing temperature and humidity, germination declined over time. Life coefficients after six months of storage showed that survival curves can be plotted with a single source. Also, the results showed that by increasing the moisture content at any temperature, especially at higher temperatures, the life expectancy decreases with increasing moisture content. Using the life-time equation, the coefficients KE=4/21, CW =1-66, CH =0 038/0 and CQ =0,00039 were calculated.
V. Amiri Monfared; A. Hashemi; A. Mamedi; R. Tavakkol Afshari
Abstract
The aim of this study was to quantify the response of germination rate to temperature and to find cardinal temperatures required for different germination percentiles in Papaver somniferum. Four models of non-linear regression [Quadratic, Segmented, Beta and Dent-like] were evaluated to describe the ...
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The aim of this study was to quantify the response of germination rate to temperature and to find cardinal temperatures required for different germination percentiles in Papaver somniferum. Four models of non-linear regression [Quadratic, Segmented, Beta and Dent-like] were evaluated to describe the relationships between germination rate and temperature of P. somniferum over 7 constant temperatures (3, 5, 10, 15, 20, 25 and 30 ˚C). Different statistical indices [Root Mean Squares of Error (RMSE) and coefficient of determination (R2)] were used to compare models performance. The Dent-like was found to be the best model to predict germination rate (RMSE=000.35, R2=0.87). The base, sub optimum, supra optimum and the ceiling temperatures for P.somniferum seed germination were estimated 3, 7, 20 and 31˚C, respectively. The cardinal temperatures depended on the model used for their estimation. Overall, Dent-like was better suited than the other models to estimate the cardinal temperatures for germination of P. somniferum seed. The highest germination percentage (72) and germination rate (0.86) was observed in 10 and 15 ˚C, respectively.
