Urging cotton plants to overcome the salt stress conditions in the reclaimed land using a combination of innovative agricultural factors ll-the relationship between yield and some characters in Egyptian cotton
2011
Rady, M.M. | Dewdar, M.D.H.
The technique of stepwise multiple regression and correlation analysis was employed to determine the contribution of the various traits to the variation in cotton yield. Data were obtained from yield trials carried out in El-Tahrir Province, El-Behera Governorate, Egypt. during 2009 and 2010 seasons. The mean squares of regression analysis were high for nine acceptance variables (traits), i.e., the number of leaves per plant, leaf area per plant, dry weight of leaves per plant, chlorophyll b, total carotenoids, phosphorus, iron, manganese and lint percentage out of eighteen ones. The total contribution of the previously mentioned traits over all variation in seed cotton yield per plant was 99.46 %. However, the residual effect of other nine traits reduced 0.54 % of the total variation in cotton yield. Seed cotton yield was significantly positive and had the greatest values of correlation coefficients with the number of leaves per plant (0.980), leaf area per plant (0.974) and chlorophyll b (0.970). High increase in the range of performances was detected for nine mentioned traits due to the creation of variation via different treatments under study. Finally, as increased number of leaves per plant, leaf area per plant and chlorophyll b may induce positive impacts on cotton yield under salinity conditions.
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