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Showing 3 results for khaleghi
Study of Variation of Yield and Morphological Traits of Some Local Varieties of Iran’s Eggplant (Solanum melongena L.)
S. Khaleghi, M. Mobli, B. Baninasab, M. M. Majidi,
Volume 9, Issue 1 (5-2019)
Abstract
Eggplant is a crop that has been cultivated for a long time in different areas of Iran. Nevertheless, no sufficient studies have been done on variation of morphological traits and yield of this crop in Iran, and it has not been well-attended in breeding programs. Therefore, to study genetic diversity in collected local varieties, the experiment was conducted in a Randomized Complete Block Design with three replications at the Isfahan University of Technology, Isfahan, Iran. There were significant differences (p<0.01) among genotypes for all traits except for fruit density and leaf dry matter. Fruit yield varied from 2410 to 4023 g plant-1 between the varieties. Plant width, leaf dry matter, number of short style flowers, number of fruits per plant, plant growth habit and leaf blade lobing had significantly positive correlations with fruit yields per plant. Cluster analysis grouped the varieties into four clusters. Fruit number and yield per plant (as the most important traits) had the higher values in third group. Factor analysis recognized five factors, which explained 83.11 percent of total variation. In the first factor, the most variation was explained by fruit number and yield per plant which generally named fruit component. In conclusion, the results of this study indicated that there was a broad genetic diversity among local varieties of Iran’s eggplant which makes it possible to use valuable varieties by desirable traits such as high yield and sweat flavor of fruit in breeding program aimed at improving traits. 

Study of the Effects of Salinity on Growth and Development of Lawns(Lolium perenne L., Festuca arundinacea and Cynodon dactylon)
E. Khaleghi, A. A. Ramin,
Volume 9, Issue 3 (fall 2005)
Abstract
Due to the existence of salinity and high temperature and sensitivity of some plants in most regions of Iran, especially in Khoozestan, there are a lat of difficulties in the planting and husbandry of lawn. Therefore an experiment was carried out under field conditions, to investigate the effect of seven levels of salinity as: Karun river water with EC of 1.09, distilled water (0.01) and irrigation with hand made salinity of 3, 6, 9, 12 and 15 dS/m on the growth and development of three types of lawn namely: Lolium perenne L. cultivar Barball, Festuca arundinacea cultivar Kentaky-31-C and Cynodon dactylon cultivar Primo in the form of a 7×3 factorial with a completely randomized design in 3 replication. A number of leaves on the main shoot and tiller, fresh and dry weight of leaves, leaf area and a number of tiller per plant were recorded. According to the results, it was revealed that the effect of salinity, Genus and interaction were significant (P<0.05) on growth parameters. In all salinity levels, Cynodon dactylon, in comparison to the other two genus displayed the highest rate of growth, while between the two other genus there were no significant differences. In addition, it was revealed that the number of leaf on the tiller and main shoot in Cynodon dactylon at a salinity of 15 dS/m was 5.1 and 4, respectively. Whereas in others, no leaves were initiated at this level of salinity. It was also appeared that at salinity of 15 dS/m, the growth of leaf area, the fresh and dry weight of leaves greatly decreased in Lolium perenne and Festuca arundinacea, while Cynodon dactylon still had growth ability. It was concluded that the number of tiller per plant and high of the plant was less affected by salinity, compared to the other growth parameters in all of genus.
Estimating the Yield and Biomass of Maize during the Growing Season Using Satellite (Data) (A Case Study: Dasht-e-Farahan)
N. Ganji Khorramdel, Gh. R. Khaleghi,
Volume 10, Issue 1 (4-2020)
Abstract
Nowadays, the satellite data and remote sensing technologies are widely known as efficient tools for the inspection, identification and management of land resources and precision agriculture in most countries. Satellite information could be used in supplying basic and updated information in the estimation of vegetation cover map, irrigated land area and some biological indices of the major agricultural crops. In this study, the biomass and production of maize were estimated through the application of five common vegetation indices of NDVI, DVI, NIR, PD321, and SAVI, using the Landsat 8 satellite data. The study area was located in Dasht-e-Farahan, Markazi province, Iran, and field sampling was carried out in five farms and five dates corresponded to times of satellite passes over the area. The highest correlation coefficient of the first to fifth observed dates was obtained for NDVI (0.73), PD321 (0.58), NIR (0.67), DVI (0.62), and SAVI (0.73) indices, respectively. In the early season, when vegetation cover was low, the biomass was well estimated by the NDVI index with the correlation coefficient of 0.75. However, in the late season, when the vegetation was high, the SAVI with the high correlation coefficient of 0.73 could estimate biomass better than other indices estimations. The results, therefore, indicated the satisfactory accuracy of the applied method; in fact, the accuracy of the data in this method was higher in the middle growth period, as compared to the initial stage ones. Therefore, it is recommended to use a suitable vegetation index for each growing period, rather than using a single vegetation index in obtaining satellite data for the total of the growing season.

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