abstract this study was conducted to determine the best drip irrigation method for pepper cultivation with the objective of water saving and obtaining maximum yield. the study was done during two years. experimental design was randomized complete blocks design (rcbd) in split plot with four replications. three different drip irrigation methods; drip irrigation with in-line emitter tubes, drip i...

in order to study the effects of different sowing dates on yield potential of cumin ecotypes and to appoint the best sowing dates of cumin at kerman, the present experiment was performed base on rcbd with split plot arrangement and 3 replications during growing season of 2011-2012. different sowing dates (25th december, 9th january, 24th january, 8th february and 23th february) as main plot, an...

avo theory was introduced around 20 years ago. in recent years, this technique was become to a major tool in hydrocarbon sources exploration. by the help of this method with the suitable understanding from underground layers and knowing how to use this technology, quantitative specifications of reservoir can be recognized. avo analysis is a seismic technique that by using of pre-stack data, est...

Fractional factorial split-plot designs are widely used when it is impractical to perform fractional experiments in a completely random order. When there too many subplots per whole plot, or few plots, with replicated settings of the plot factors preferred. However, such an important study undeveloped literature. This paper considers WP from viewpoint clear effects. We investigate sufficient an...

In some experiments, the levels of factors are difficult to change; then fractional factorial split-plot (FFSP) designs suitable for selection. an FFSP design, divided into two classes—the whole plot (WP) and subplot (SP) factors. selection WP can affect that SP factors, which attracts much attention Paying more a new optimality criterion selecting such is proposed. The robustness proposed meth...

Complete randomization in many industrial and agricultural experiments is frequently impractical due to constraints in time, cost or existence of one or more hard-to-change factors. In these situations, restrictions on randomization lead to split-plot designs (SPD), allowing certain factor levels to be randomly applied to the whole plot units and remaining factor levels randomly to the subplot ...