Analytical Study in Split-Plot Design with Application on an Agricultural Laboratory Experiment

Abstract

Agricultural experiments play a major role for workers in the agricultural field in terms of experimentation and analysis in order to reach the most important factors affecting plant productivity and agriculture, and play a fundamental role in the economic sector. However, some countries suffer from a shortage of these crops due to the exposure of some cultivated areas to a range of environmental factors such as drought and salinity, which reached about 33% of the cultivated land, as these environmental phenomena affect the various stages of plant growth and development and its various physiological functions with their physical and chemical properties. In recent years, the harmful effects of saline environments in weak lands have been overcome by some means, such as the use of chemical growth regulators by soaking the seeds before planting or spraying plants. The study aimed to find out the effect of green tea extract on cucumber production by planting cucumber seeds in four different time periods (0, 6, 12, and 24 hours) in different salt concentrations (0, 1.5, 2.5, 3.5 dsm / m) and in three different concentrations (0.1, 0.01, 0.001) from green tea solution before germination. The experiment was conducted according to a split-plots design (4 *4*3* 3), after implementing the Normal Distribution test for the data, and then implementing the Variance Analysis and calculate the effects of the factors. The results of the study showed that green tea extract had a significant effect on the length of the Vegetative total. The best level was the first level (0.1), We note that Factor (B), the time factor, which is the duration of plant infusion in green tea, has a significant effect on response rates, and the best duration gave a response is the (12) hours period, and Factor (C), which is the salt concentration ratios in the plant, has a significant effect on the response rates. The best response level is the second concentration (1.5), and the interaction between them was significant and influencing to the plant. Also, the double and the triple interactions are significant and not independent in their effect on the response rates represented by the length of the Vegetative total.