استعمال بعض الأساليب الإحصائية لدراسة تأثير الشاي الأخضر لتقليل الإجهاد الملحي في نبات الخيار

Using some statistical methods to study the effect of green tea to reduce salt stress in cucumber

Abstract
Agricultural experiments play a major role for agricultural workers in terms of experimentation and analysis in order to reach the most important factors affecting plant productivity.
The study aimed to know the effect of green tea extract on cucumber production by sowing cucumber seeds for different periods in different saline concentrations and different concentrations of green tea solution before germination.
The experiment was carried out according to the complete random design (CRD) of a completely factorial experiment of type (5 * 4 * 3 * 3).
Theoretically, the laboratory experiments were fully studied in the framework of the complete design and the statistical methods used in the study. The global experience, trend analysis and regression analysis.
To achieve the objectives of the study, data of responses were recorded from experiments conducted at the University of Babylon – Faculty of Science in the Department of Botany for global experiments in laboratory conditions consisting of three factors. The first factor was green tea containing three levels (0.1, 0.01, 0.001). The second is the length of time for planting the seeds in the green tea extract and has four levels (0, 6, 12, 24) and the third factor salt concentration at five levels (0, 1.5, 2.5, 3.5, 4.5)
After testing the normality distribution of the data, the variance was analyzed and the main effects of factors were calculated. The results of the study showed that the extract of green tea had a significant effect on chlorophyll concentration in cucumber leaves. The best level of tea was the second level (0.01) which gave the best response and the third period of time (12) hours gave the best effect on the response. The fourth salinity concentration (4.5) dsm/m were the best effect on the chlorophyll ratio in the cucumber paper.
According to the results obtained from the variance analysis table the relationship between the treatments and the response is estimated. Linear equations for estimating the relationship between individual factors indicate that the accuracy of linear equation representation is not appropriate to estimate the relationship between each individual factor and the response. The linear equation, which assumes that the constant is zero, is the best to represent these relationships. The estimated equation for the relationship between salts and chlorophyll has a higher coefficient of determination, followed by a period for sterilization followed by green tea. We could not calculate the best concentration of salts because the quadratic contrast of the salts was not significant