Medicinal Plants
Zahra Izadi; Abbas Biabani; Hossein Sabouri; Babak Bahreininejad; Abdollatif Qolizadeh
Abstract
Introduction
Datura stramonium L. is one of the medicinal plants that have a special role in the pharmaceutical industry due to its alkaloid compounds. Datura is one of the most important medicinal species that is a rich source of alkaloid compounds. Important phytochemical compounds in Datura, especially ...
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Introduction
Datura stramonium L. is one of the medicinal plants that have a special role in the pharmaceutical industry due to its alkaloid compounds. Datura is one of the most important medicinal species that is a rich source of alkaloid compounds. Important phytochemical compounds in Datura, especially alkaloids, have been considered by the pharmaceutical industry. Datura (Datura stramonium L.) is an annual plant of the Solanaceae family, which is native to North America and is found in abundance in the coastal areas of northern Iran from Astara to eastern Mazandaran. Important phytochemical compounds in tattoos, especially alkaloids, have been considered by the pharmaceutical industry. Tropane alkaloids are one of the most important compounds in plants of the Solanaceae family and the anticholinergic effects of these compounds have made their use common in medicine. Important tropane alkaloids include hyoscyamine, ascopolamine, and atropine in D. stramonium. Plant growth is a set of specific biochemical and physiological processes that interact with each other and are affected by environmental factors such as temperature, light intensity, etc. that are affected by the date of planting. In the meantime, analyzing the amounts of photosynthetic pigments is a way to justify and interpret the plant's reactions to different environmental conditions during the growing period, through which it is possible to transfer and accumulate photosynthetic products. Due to the importance of D. stramonium and its widespread use in the pharmaceutical industry, Since Datura plant has not been adequately studied in the literature, the purpose of investigating three different planting date and planting density levels in this plant is to determine their proper values which increase the alkaloids and photosynthetic pigments, resulting in grain growth and yield increment.
Materials and Methods
This research during two consecutive years (1397-1397 and 1397-1398) in Shahid Fozveh research station affiliated to Isfahan Agricultural Research and Training Center and Natural Resources located 25 km west of Isfahan (Latitude: 32°36′37″ N, Longitude: 51°26′52″ E . 1612 m above sea level), which according to the Gauchen division has a mild semi-desert climate. The experiment was performed as a factorial experiment in the form of randomized complete blocks with three replications. Treatments included three densities (6, 10 and 14) plants per square meter and planting date in autumn and spring. Autumn planting of D. stramonium for the first year of the experiment was done on 3 January and in the second year on 30 December. In the spring planting of D. stramonium, due to the long growing season, in order to be productive during the growing season, first the seed of the plant was planted in the planting trays and then in the 3 to 4 leaf stage the seedlings were transferred to the main land. In both years of testing, the seeds were sown on the date of spring planting in March. Field operations including plowing, disc, leveling, preparation and preparation of atmosphere and ridges were carried out in the field. According to different fertilizer levels and density levels, each replication included 9 experimental plots. The length of each plot was 5 m and its width was 3 m, which included 5 rows with a distance of 60 cm. The distances of the plants on the ridge were considered as 15, 20 and 33 cm 33, respectively, according to the densities (6, 10 and 14 plants per square meter). The distance between the replicates was 1 m and the distance between the plots from each other was considered a planting line. The data were analyzed using SAS software version 9.4. The means were compared with LSD test at 5% level and graphs were drawn using EXCEL software version 2010.
Conclusion
According to the results, the density of 6 plants per hectare on the date of autumn planting improved seed yield and increased hyoscyamine and alkaloids. In fact, the density of 6 plants per square meter in this study increased grain yield and the amount of hyoscyamine and ascopolamine. At low plant densities in this study, including densities of 6 and 10 plants per square meter, the amount of photosynthetic pigments increased. Also, maintaining the amount of chlorophyll in young leaves causes a delay in the aging process and increases the durability of the leaf surface, which will have a significant effect on the transfer of photosynthetic material to the seed. More and slower nourishing material is transferred to the grain, so the grain filling period will be longer. The results show that by selecting proper levels of plant density and planting date as two of the most important crop management practices, the number of tropane alkaloids in Datura as one of the important active ingredients in the pharmaceutical industry increases.
Isa Karamatlou; Mohammad Mehdi Sharifani; Hossein Sabori
Abstract
Introduction: Persian walnut (Juglans regia L.) is a large, wind-pollinated, monoecious, dichogamous, long lived, perennial tree cultivated for its high quality wood and nuts throughout the temperate regions of the world. Growth model methodology has been widely used in the modeling of plant growth. ...
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Introduction: Persian walnut (Juglans regia L.) is a large, wind-pollinated, monoecious, dichogamous, long lived, perennial tree cultivated for its high quality wood and nuts throughout the temperate regions of the world. Growth model methodology has been widely used in the modeling of plant growth. Mathematical models are important tools to study the plant growth and agricultural systems. These models can be applied for decision-making anddesigning management procedures in horticulture. Through growth analysis, planning for planting systems, fertilization, pruning operations, harvest time as well as obtaining economical yield can be more accessible.Non-linear models are more difficult to specify and estimate than linear models. This research was aimed to studynon-linear regression models based on data obtained from fruit weight, length and width. Selecting the best models which explain that fruit inherent growth pattern of Persian walnut was a further goal of this study.
Materials and Methods: The experimental material comprising 14 Persian walnut genotypes propagated by seed collected from a walnut orchard in Golestan province, Minoudasht region, Iran, at latitude 37◦04’N; longitude 55◦32’E; altitude 1060 m, in a silt loam soil type. These genotypes were selected as a representative sampling of the many walnut genotypes available throughout the Northeastern Iran. The age range of walnut trees was 30 to 50 years. The annual mean temperature at the location is16.3◦C, with annual mean rainfall of 690 mm.The data used here is the average of walnut fresh fruit and measured withgram/millimeter/day in2011.According to the data distribution pattern, several equations have been proposed to describesigmoidal growth patterns. Here, we used double-sigmoid and logistic–monomolecular models to evaluate fruit growth based on fruit weight and4different regression models in cluding Richards, Gompertz, Logistic and Exponential growth for evaluation of fruit growth according to length and width(diameter) of fruit. Then to determine the most efficient model, different parameters of evaluation of model fitting were used. The best model was selected based on the highest value of R2and the lowest values for RMSE, AIC and BIC. The data were analyzed using SAS software (version 9.2) and Solver in Microsoft Excel.
Results and Discussion
Growth model based on fruit weight: According to the actual and estimated growth model based on fruit weight, double sigmoid function and logistic–monomolecular model showed a good prediction of fruit weight changes versus time data (days after full bloom). However, in general according to evaluation criteria, double sigmoid model was the best model to predict walnut fruit weight. Based on total fruit weight, fruit growth occurs at two stages: in the beginning of the growth phase, there is a slow growth for 30 days and then it is continued with a rapid growth until 60 days after full bloom. Thereafter, growth was again slow. At the beginning of the second phase of growth (70 to 85 days after full bloom), fruit growth increased again and then, walnut fruits started to ripe on the tree in summer, bright green husk (outer pericarp layer) changed to a yellowish color and the growth again decreased (130 days after full bloom).
Growth model based on fruit length and width measurements: Based on the actual and estimated growth pattern the Richard model describes the growth of fruit better than other models. The first phase lasted for about 15 days and the second phase of growth was very rapid and it lasted for 35 daysin most of genotypes. Then, fruit length and width did not change significantly until harvesting time. However, due to subtle changes of fruit length and width following fruit rapid growth stage, fruit weight is preferred for describing fruit growth of the Persian walnut. During the first phase of development, increasing size and weight are associated with the formation of new and larger cells and tissues. The second phase includes attainment of final nut form, and it is characterized mainly by chemical changes. These include changes in the shell as the cells become lignified and more important changes in kernel composition.
Conclusion: Based on thes tatistical testing and goodness of the fit, the best model between six nonlinear growth models, was double-sigmoid and Richard model swhich can be used to accurately predict fruit growth based on fruit weight, fruit lengt hand width, respectively.
