as compared to ksc 704 hybrid with 9.844 t/ha, the maize hybrid, ksc 705(k3640/3 × mo17) produced an average grain yield of 11.120 t/ha over seven locations evaluated in final trials for two consecutive years (2007-8). in advanced yield trials done in 2011, across seven locations, this hybrid performed the highest grain yield, 10.450 t/ha, while ksc 704 produced 8.513 t/ha. in addition to the g...

a field experiment was conducted to study the physical properties of maize grain in response to different urea fertilization methods (urea foliar spraying and soil application), three harvest times (grain moisture content of 20, 30 and 40 pecent) in four maize hybrids (three foreign hybrids e.g. ns640, jeta600 , konsur580 and one common hybrid, sc704 as control) at khorram abad agricultural res...

in order to find the most appropriate planting patter and cultivar of grain corn, an experiment was conducted in agriculture research station of jiroft and kahnooj, iran for two years in 2007 and 2008 as a split-plot experiment based on a randomized complete blocks design with three replications. the main plot was planting patter at four levels of normal planting (single-row on one furrow), dou...

in recent years, using new methods in utilization of energy resources has become necessary due to environmental pollution and restriction of energy resources. the hybrid system presented in this article produced power with sofc and stirling engine. the purpose is to analyze a 50 kw solid oxide fuel cell that could produce enough thermal energy for a 10 kw stirling engine working in the hybrid s...

in this paper by combining caching and replication techniques proposed a hybrid heuristic method based on the greedy algorithm to use the benefit of each other techniques. the algorithm in each interaction compares all the contents and one that made the best benefit value is selected for replication. the hybrid approach tested in a simulation environment and the results show that hybrid algorit...

drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

In this paper, a hybrid meta-heuristic algorithm, based on imperialistic competition algorithm (ICA), harmony search (HS), and simulated annealing (SA) is presented. The body of the proposed hybrid algorithm is based on ICA. The proposed hybrid algorithm inherits the advantages of the process of harmony creation in HS algorithm to improve the exploitation phase of the ICA algorithm. In addition...

in recent decade, the new advanced nanofluids, composed from various particles, have attracted the attention of researchers. this class of nanofluids, which can be prepared by suspending several types (two or more than two) of nanoparticles in base fluid, is termed as hybrid nanofluids. in this work, an experimental investigation on the effects of temperature and concentration of nanoparticles ...

short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . these results made the hybrid tools and approaches a more common method for ...