Showing 3 results for Nemati
J. Lameie Heravani, N. Nemati, R. Bozorgipour, Z. Hosseini - Negad,
Volume 8, Issue 4 (winter 2005)
Abstract
In order to find the high-yielding and adaptable cultivars in different environments, eight cotton genotypes including two early maturity hybrids were studied and compared with the Varamin cultivar as control in a randomized complete block design with four replications in six regions in 1997 and 1998. Using Barttlet test, some of the environments were eliminated from statistical analysis. Therefore, combined analysis of variance and other statistical calculations were carried out based on environment (Year×Location) on the assumption that environment was randomized and cultivars remained constant during the entire study. In combined analysis of variance, genotypic effect (in yield) was significant at 1% probability level. Combined analysis of variance also showed significant differences for the main effect of environment and genotype×environment intreaction at 1% probability level. To select the best genotype with a high and stable yield, parametric statistics of stability including type 1 stability (S2i,CVi), type II stability (bi,σi2, w2i), type III stability (Sd2i) as well as non-parametric statistics such as mean of genotypic rank (R), standard deviation of rank (SDR), and simultaneous selection of parametric and nonparametric statistics for yield and stability (Ysi) were calculated. Overall, considering the important agronomic and technological characteristics of genotypes such as yield, earliness, span length, fiber strength, percentage of uniformity, and micronariae index, the hybrid Coker×Bulgar was selected as high-yielding and stable cultivar to be substituted for Varamin cultivar across the planting area.
M Kafi, M Haghighi, A Tehrani Far, Gholamhoseein Davari Nrjad, H Nemati,
Volume 13, Issue 47 (4-2009)
Abstract
Turfgrass is important in urban landscape and by considering that organic matter has a important roll in improving physical and chemical soil characteristics using an organic matter instead of manure and MSW seems necessary .in this research the possibility of using new method of culture such as hydromulching (i.e. mixing seed, organic matter, water, and fertilizer and then distributing it) spent mushroom compost (SMC) has done .for these reason we use two level of SMC 6- month old and one –year old .in two time ,spring and autumn .the experiment design as a factorial Randomized Complete Block Design with 3 replications .Germination ,establishment ,uniformity ,density ,color was measured .results showed that SMC is better than manure especially 6-month old SMC as it is than one-year old SMC .in the spring establishment and germination is better . So using hydromulching by 6-month compost in spring is recommended.
A. Ghorbani, E. Hassanzadeh Kuhsareh2, M. Moameri, K. Hashemi Majd, A. Pournemati,
Volume 23, Issue 3 (Fall 2019)
Abstract
In this study, the effect of some soil parameters on the life forms and total aboveground net primary production (ANPP) in meadow rangelands in Fandoghlou region of Namin county in Ardabil Province were investigated. ANPP in 180 plots of 12 by harvesting and weighting method were measured. Eighteen soil samples were collected along transects. Some physical and chemical attributes of the soil were measured by standard methods. The relationship between these parameters and ANPP was performed using multivariate regression (enter) method. To determine the effects of important soil parameters on ANPP variation, principal component analysis (PCA) was used. The results of regression analysis showed that electrical conductivity (EC), magnesium (Mg), spreadable clay (WDC), volumetric moisture content (VM), organic carbon (OC), soluble potassium (KS), exchangeable potassium (Kexch), sodium (Na) and phosphorus (P) were the effective parameters on the life forms and total ANPP (p<0.01). The accuracy of obtained equations for grasses, forbs and total ANPP were calculated 79, 76 and 70%, respectively. Moreover, results of PCA showed that soil parameters justify 84.52 percent of total ANPP variation and in comparison, with regression results with 28% it provides better results.
