Agriculture
Hesam Aryanpour; hossein sahabi; Hassan Feizi; Alijan Salariyan; Amir Salari
Abstract
Cow manure is one of the most commonly used fertilizers in saffron cultivation, but its main problem is the slow process of decomposition and the slow release of nutrients in the short term; leading to over use of chemical fertilizers by farmers. It is expected that with the introduction of nanotechnology ...
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Cow manure is one of the most commonly used fertilizers in saffron cultivation, but its main problem is the slow process of decomposition and the slow release of nutrients in the short term; leading to over use of chemical fertilizers by farmers. It is expected that with the introduction of nanotechnology in the field of agriculture, a suitable solution will be found to improve the absorption time of organic fertilizers. Cattle manure nanoparticles can reduce the decomposition time of cattle manure with higher specific surface area. Therefore, a split-plot design was carried out using two conventional methods of mulching and mixing with soil on the performance of saffron and soil characteristics to compare the performance of conventional chemical fertilizers and cow manure with nano cow manure.The main factor in seven levels (including nano cow manure in two amounts of five and 20 tons per hectare and in two forms of application of mulch and mixed with soil, normal cow manure in the amount of 20 tons per hectare and in two forms of mulch and mixed with soil and no use cow manure) and the sub-factor included NPK chemical fertilizer (at two levels of use and non-use). The results showed that by making cattle manure nanosized, its half-life in the soil decreased from about 36 weeks to 11 weeks. Nano cow manure treatment of 20 tons per hectare mixed with soil showed an increase in dry stigma yield by 43.7, 46 and 57%, respectively, compared to conventional cow manure treatments, chemical fertilizer treatments, and controls. The nano application of cow manure resulted in maintaining more moisture, less mechanical resistance in the soil, and more percentage of nutrients in the plant. In the comparison of the two methods of mulching and mixing, it was observed that in the mulching method, the amount of moisture is higher and the surface mechanical resistance is lower in the soil, and in the mixing method, the amount of nutrients in the leaves is higher. The results showed that in treatments with nano cow manure, the mixed method is preferable to mulch. By making cattle manure nano, using the mixed method instead of mulch and applying higher levels of cattle manure, was reduced the synergistic effect of chemical fertilizers in increasing yield. As in nano cow manure treatment (20 tons per hectare mixed with soil) was not observed significant yield increase due to the addition of chemical fertilizer. Also, nano cow manuew five ton per hectare treatments (mulch and mixture) showed a 22% yield increase compared to conventional cow manure treatments. It is possible to increase the yield by 22% by making cow manure nanosized, along with reducing the consumption of cow manure by 75% in the second year of saffron cultivation.
Agriculture
Mahdi Abbaszadeh; Amir Salari; HAMID ROHANI
Abstract
Identifying of optimal use of resources and in line with the production of any land is an important step in achieving sustainable development while preserving the ecological system. The purpose of this study is determination quality, quantity and economic suitability of Torbat Heydaryeh lands (Rokh Plain) ...
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Identifying of optimal use of resources and in line with the production of any land is an important step in achieving sustainable development while preserving the ecological system. The purpose of this study is determination quality, quantity and economic suitability of Torbat Heydaryeh lands (Rokh Plain) in Khorasan Razavi for wheat (Triticum Aestivum) and saffron (Crocus Sativus) cultivation. For this purpose, climate condition and soil properties in the study area compare with requirements of wheat and saffron, so qualitative suitability were determined by using FAO method and GIS according to parametric method of Kalogirou. Quantitative and economic evaluation done according to actual yield in each agricultural unit and gross profit per unit area, respectively. Results showed that in this area despite, climate index and yield potential is high but because of soil properties restriction, qualitative suitability is moderate and this restriction is higher for saffron. The results showed that quantitative suitability class is equal or higher than qualitative suitability especially for saffron. Economics results showed that saffron is higher profitable than wheat but its enlargement restricted because of soil limitation, so that its cultivation isn’t recommended. Perform corrective actions and improvement of soil properties in most units can increase production efficiency.
Other subject about saffron
hamed kaveh; amir salari
Abstract
In recent decades, the concept of quality of agricultural products has changed drastically and the quality of raw material is considered as a necessary prerequisite for the quality of the final processed product. With an aim of quality classification of saffron production centers in the provinces of ...
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In recent decades, the concept of quality of agricultural products has changed drastically and the quality of raw material is considered as a necessary prerequisite for the quality of the final processed product. With an aim of quality classification of saffron production centers in the provinces of Khorasan, the main components of marketability and quality of saffron (Crocin, Picrocrocin and Safranal) are determined using ultraviolet-visible light spectrum analysis and the ISO / TS 36322 standard. Product sampling was done from 14 centers of saffron production in Khorasan provinces including Safiabad, Qaen, Kashmar, Torbat Heydarieh, Khalil Abad, Bardaskan, Shahn Abad, Chakhmaq, Torbat-Jam, Faizabad, Sabzevar, Sarayan, Eshq Abad and Birjand. Harvest, stigma separation and drying was performed equally in all samples. Comparison of results to national and ISO standard showed that the Safranal content in all of the studied areas were lower than both Iran’s national standard and ISO standards. For Picrocrocin, the results for most of the studied centers were better than ISO standard. However, the results obtained from region numbers 2, 10, 11 and 12 did not reach the national standard of Iran and the products of region numbers 5, 8 and 9 were close to the lowest value in the standard. Region 12 had the lowest Crocin content which was lower than both ISO and national standards. All of the regions 2,5,10 and 14 had low Crocin content and did not reach the minimum quality of Iran’s national standard for Crocin content.
Other subject about saffron
mehdi Bashiri; Ali Maroosi; Amir Salari; Mohammad Ghodoosi
Abstract
Yield prediction for agricultural crops plays an important role in export-import planning, purchase guarantees, pricing, secure profits and increasing in agricultural productivity. Crop yield is affected by several parameters especially climate. In this study, the saffron yield in the Khorasan-Razavi ...
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Yield prediction for agricultural crops plays an important role in export-import planning, purchase guarantees, pricing, secure profits and increasing in agricultural productivity. Crop yield is affected by several parameters especially climate. In this study, the saffron yield in the Khorasan-Razavi province was evaluated by different classification algorithms including artificial neural networks, regression models, local linear trees, decision trees, discriminant analysis, random forest, support vector machine and nearest neighbor analysis. These algorithms analyzed data for 20 years (1989-2009) including 11 climatological parameters. The results showed that a few numbers of climatological parameters affect the saffron yield. The minimum, mean and maximum of temperature, had the highest positive correlations and the relative humidity of 6.5h, sunny hours, relative humidity of 18.5h, evaporation, relative humidity of 12.5h and absolute humidity had the highest negative correlations with saffron cultivation areas, respectively. In addition, in classification of saffron cultivation areas, the discriminant analysis and support vector machine had higher accuracies. The correlation between saffron cultivation area and saffron yield values was relatively high (r=0.38). The nearest neighbor analysis had the best prediction accuracy for classification of cultivation areas. For this algorithm the coefficients of determination were 1 and 0.944 for training and testing stages, respectively. However, the algorithms accuracy for prediction of crop yield from climatological parameters was low (the average coefficients of determination equal to 0.48 and 0.05 for training and testing stages). The best algorithm i.e. nearest neighbor analysis had coefficients of determination equal to 1 and 0.177 for saffron yield prediction. Results showed that, using climatological parameters and data mining algorithms can classify cultivation areas. By this way it is possible to identify areas that have similar climate to prone areas and recognize suitable areas for cultivation.
Agriculture
Mehdi Bashiri; Amir Salari
Abstract
Saffron is one of the most economical and highly valuable plant species in Iran. About 80 percent of the total export of saffron in the world originates in the Khorasan Razavi province. The demand for higher production, limitations of climatologicalresources, soil and waterhave caused the officials who ...
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Saffron is one of the most economical and highly valuable plant species in Iran. About 80 percent of the total export of saffron in the world originates in the Khorasan Razavi province. The demand for higher production, limitations of climatologicalresources, soil and waterhave caused the officials who are in charge of agriculture to seek for areas that are potential candidates for the cultivation of saffron by means of precise, rapid and analytical methods. In the present study, geostatistical interpolation methods are used for climatological-ecological zoning of agricultural lands in the Khorasan Razavi province that are suitable candidates for saffron cultivation. To this aim, climatological and ecological requirements of saffron cultivation are first determined based on available scientific references. Then the necessary data are prepared. In the present study, an effort has been made in the spatial modeling and interpolation of the areas that are potential candidates for saffron cultivation based on the yield per unit area in 8 counties of the province during the 1989-1990 to 2008-2009 crop years and the 11 climatological parameters that affect saffron growth and blossom in the mentioned period of time. Based on the results, the maximum absolute humidity has been selected as the best covariate. The modeling of crop yield and the evaluation of the models were performed using geostatistical methods in GS+ software. Finally, the prepared zoning map showed that the geostatistical methods used are suitable choices for determination and zoning of areas that are suitable candidates for the development of saffron cultivation. The results for zoning have showed that a third of the southern areas in the Khorasan Razavi province (especially in the Gonabad county) have the maximum cultivation potential from the viewpoint of climatology, and in the northern direction of the province (especially in the Quchan and Binaloud counties) the value of land decreases considering its potential suitability for saffron cultivation.
