The effect of vegetative form and shading on planting success of Greek Juniper (Juniperus excelsa M. B.) (original) (raw)
Related papers
Plant Genetic Researches
Eggplant (Solanum melongena L.) has a high genetic variation in Iran and there are many landraces of this crop in Iran. In the present study, 15 superior genotypes of eggplant which were selected from Minab landraces accompanying two superior mother landraces (totally 17 lines) were studied for two successive years in three regions of Iran including Minab, Karaj and Jiroft. The experiment was conducted in Randomized complete block design with three replications. Finally, total yield of both years was measured and the combined analysis was done and the best line(s) for different climates were introduced using evaluation the stability of the lines via AMMI and GGE biplot procedures. Based on the results of means comparison of yield in the studied lines in each region from average of two years, GHE12 line in Minab region, SA13 line in Jiroft region and AM4, SA15 and SA5 lines in Karaj region have higher fruit yield than the other lines. Based on the results of yield comparison of the examined genotypes in each region from the average of two years of testing, GHE12 genotype in Minab region, SA13 genotype in Jiroft region and AM4, SA15 and SA5 genotypes in Karaj region had acceptable yield compared to other genotypes. However, according to the results of special adaptability and stability analysis, Y genotype for Minab region, SA13 genotype for Jiroft region and AM4 genotype for Karaj region are recommended.
Stability analysis of seed yield in safflower genotypes in Iran
Acta Agronomica Hungarica, 2009
To assess the stability and yield performance of safflower genotypes and to identify subregions within Iran, a set of experiments was conducted at six locations during 2003–2005. AMMI model analysis and some stability parameters derived from the grain yield were used. AMMI analysis showed differences between genotypes and environments and the GE interaction was highly significant, indicating that the agro-climatic environmental conditions were different, and that there was a differential response of the genotypes to the environments. The first two IPCA components of the GE interaction explained 51.5% of the GE interaction. According to the AMMI model, G16 was the most superior genotype in 15 out of 18 environments. The biplot of IPCA1 and IPCA2 showed that the six locations represent different environments, and mega-environments in Iran were identified for safflower breeding programmes. Due to the great fluctuation observed when selecting genotypes through stability parameters, it w...
Halabja University Journal
Vegetation areas in the cities of the Kurdistan region is important to study as it directly impacts environmental factors as well as the lives of citizens and the weather of the area. this study aims to study the land use/cover state with remotely sensed data (RS) and geographical information systems (GIS) using satellite images from landsat 7-8 for the months of May and September of 2002-2020 along with landsat 5 for April and august of 2010. This was conducted through NDVI technology using bands 3-4-5 and bands 6-10 for Land Surface Temperature. To analyse the relationship between NDVI and LST a number of equations were utilised on the satellite images with RS and GIS programs. It was discovered that vegetation has a direct relationship with the temperature of the study area.
2011
In order to determine the effects of on-farm seed priming and sowing date on yield and yield components of three soybean cultivars, an experiment was conducted in Hamedan in 2009, as split plot factorial in a randomized complete block design with three replications. Main plots were representative of two sowing date (June 5 th & June 21 st) while subplots included combinations of soybean cultivars (L17, M7 and M9) and priming treatments (soaking seeds for 4 hours in 0.02% zinc solution, 0.4% potassium nitrate solution, tap water and no-primed). Yield and yield components, biological yield, harvest index and plant height were measured. Results showed that, late sowing caused to significant reduction in harvest index, yield and pod number per lateral branch. M9 cultivar in the most traits except seed number per pod of lateral branch and plant height, was better than two other cultivars. In M7 and M9 cultivars priming with zinc solution and tap water could compensate late sowing negativ...
Iranian Journal of Medicinal and Aromatic Plants, 2019
In order to improve complex traits such as yield, one of the most effective approaches to select the desired genotypes is the use of selection indices. In this research, in order to evaluate the efficiency of different selection methods under stress conditions, 49 top cumin (Cuminum cyminum L.) genotypes, selected in the second year of a two-year plan were evaluated. This research was conducted as a field experiment in a randomized complete block design with two replications under drought stress conditions in 2012 at the research farm of Shahid Bahonar University of Kerman. The selection indices Smith-Hazel 1 and 2 and Pesek-Baker were computed based on seven traits including plant height, number of lateral branches, umbels, umbellules, seeds, seeds weight and aerial parts weight (traits/plant). Also, the direct and correlated responses of these traits with seed yield were obtained. All three indices were evaluated in two forms, along with yield and without yield. The results of direct and correlated response of traits showed that genotypes with higher number of seeds and umbelluleshad higher yield potential. In the Smith-Hazel 1 and 2 indices, two traits including the number of seeds and umbelluleshad the highest response to the selection, while in the Pesek-Baker index, the number of branches was the highest response to the selection. The results indicated that the Smith-Hazel index had the highest selection efficiency and could be used to select appropriate genotypes in the cumin breeding programs under drought stress conditions.
Journal of Crop Breeding
Production of high yielding hybrid cultivars is the main objectives of breeding programs in sunflower. Therefore, the selection of high yielding hybrids is essential in this plant. In this regard, 24 new sunflower hybrids and Golsa cultivar were evaluated in a simple lattice design with two replications in the Gorgan Agricultural Research Station during 2020 cropping season. In this study, the selection index of ideal genotype (SIIG) and factor analysis was used to select new sunflower hybrids and finding interrelationships among them. Based on the SIIG index, the genotypes G5, G10, G2, G12, G3 and G19 with the highest SIIG values (0.747, 0.689, 0.660, 0.641, 0.640 and 0.572, respectively) were the best genotypes. On the other hand, G23, G15, G24, G25 and G18 genotypes with the least amount of SIIG value (0.233, 0.264, 0.277, 0.278 and 0.285, respectively) were the weakest genotypes for most studied traits. The genotypes of G5, G19, G2, G10, G3, G9 and G11 with high SIIG value and higher seed yield that total average were recognized as superior genotypes from the point of yield and other agronomic traits. Therefore, these genotypes can be used for further testing, including adaptation tests in warm wet areas. Also, the results of factor analysis indicated a positive relationship between stem diameters, head diameter and seed number per head with seed yield. Generally, it can be concluded that traits of stem diameter, head diameter and seed number per head could be used as suitable criteria in selecting for increased seed yield in sunflower breeding programs.