Mohamed,, S., Salama, S., Abd El- Aziz, A. (2005). STATlSTICL STUDIES FOR EVALUATION SOME VARIETIES OF WHEAT. Journal of Plant Production, 30(6), 2969-2980. doi: 10.21608/jpp.2005.237239
Samia G. A. Mohamed,; S. M. G. Salama; A. M. Abd El- Aziz. "STATlSTICL STUDIES FOR EVALUATION SOME VARIETIES OF WHEAT". Journal of Plant Production, 30, 6, 2005, 2969-2980. doi: 10.21608/jpp.2005.237239
Mohamed,, S., Salama, S., Abd El- Aziz, A. (2005). 'STATlSTICL STUDIES FOR EVALUATION SOME VARIETIES OF WHEAT', Journal of Plant Production, 30(6), pp. 2969-2980. doi: 10.21608/jpp.2005.237239
Mohamed,, S., Salama, S., Abd El- Aziz, A. STATlSTICL STUDIES FOR EVALUATION SOME VARIETIES OF WHEAT. Journal of Plant Production, 2005; 30(6): 2969-2980. doi: 10.21608/jpp.2005.237239
STATlSTICL STUDIES FOR EVALUATION SOME VARIETIES OF WHEAT
Central Laboratory for Experimental Design and Statistical Analysis. Agriculture Research Center. Giza, Egypt.
Abstract
Two field experiments were conducted at the Agricultural Research Station, Dakhlia Governorete of Tag El—Ezz during the two successive seasons of 200212003 and 2003f2004. Eight genotypes of wheat namely Sakha 8, Sakha 61, Sakha 59, Sakha 92, Giza 163, Giza 164, Gemmiza 3 and Gemmiza 7.The treatments were arranged in randomized complete blocks design with three replications. Analysis of variance, simple correlation coefficient, predication equations of full model and stepwrse multiple regression and principle. The most important results can be summarized as follows: Results indicate that wheat varieties exhibited significant differences for grain yield per Spike and grain yield per plant as well as all studied yield attributes Gemmiza 7, Sakha 92 and Gemmiza 3 had the highest grain yield per spike and number of grainsrspiks. However, Gemmiza 7, Gemmiza 3 and Sakha 61 gave heavier weight of 1000 grain. Moreover, Gemmiza 3, Sakha 92 and Sakha 69 could be secured higher grain yield per plant. Highly significant and positive correlation coefficients were found between grain yield per spike and each of all characters except for plant height (cm), extrusion length (cm), number of spikes and number of tillers. Grain yield per plant (g) was found to be highly significant and positive correlated with all characters except plant height (cm), extrusion length (cm), number of sipkeits and number ofgrains/ spike model regression including all factors ranged from 93.17% to 96.51% and 98.74% to 99.62%, while stepwise regression ranged from 80.15% to 94.02% and 81% to 96.09% with grain yield per spike and grain Yield per plant, respectively. It found that the most important macro climatic factors and variables affecting ie. grain yield per spike and grain yield per plant were spike length (X6), number of spikes, weight of 1000-grains (g) (X13), number of grain per spike (X10), soil mean temperature at depth of 20 cm from planting to end of anthesis (Mtepso4) and relative humidity from planting to end of grain filling (RH5%) and growing degree-days from planting to the end of booting (GDD3). The principle component analysis grouped the studied variables in the component accounted for 100% of the total variation with grain yield per spikes. The result showed that two major components, which altogether accounted for 99.711% of total variation. The first component included to flag leaf length, flag Ieafarea, number of spikes, number of tillers and number of grain per plant. The second component included the remainder characters.
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