Abd EI-Galil,, M., Morsi, F. (2004). SOME STATISTICAL MODLES TO DETECT THE RELATION BETWEEN YIELD AND ITS COMPONENTS FOR INTERCROPPING EXPERIMENTS.. Journal of Plant Production, 29(10), 5483-5492. doi: 10.21608/jpp.2004.238828
M. A. Abd EI-Galil,; Faiza M. Morsi. "SOME STATISTICAL MODLES TO DETECT THE RELATION BETWEEN YIELD AND ITS COMPONENTS FOR INTERCROPPING EXPERIMENTS.". Journal of Plant Production, 29, 10, 2004, 5483-5492. doi: 10.21608/jpp.2004.238828
Abd EI-Galil,, M., Morsi, F. (2004). 'SOME STATISTICAL MODLES TO DETECT THE RELATION BETWEEN YIELD AND ITS COMPONENTS FOR INTERCROPPING EXPERIMENTS.', Journal of Plant Production, 29(10), pp. 5483-5492. doi: 10.21608/jpp.2004.238828
Abd EI-Galil,, M., Morsi, F. SOME STATISTICAL MODLES TO DETECT THE RELATION BETWEEN YIELD AND ITS COMPONENTS FOR INTERCROPPING EXPERIMENTS.. Journal of Plant Production, 2004; 29(10): 5483-5492. doi: 10.21608/jpp.2004.238828
SOME STATISTICAL MODLES TO DETECT THE RELATION BETWEEN YIELD AND ITS COMPONENTS FOR INTERCROPPING EXPERIMENTS.
1Crop Intensification Res. Sec. , Field Crop Res.lnst. ARC, Giza, Egypt.
2Central Lab. for Design and Statistical Analysis, ARC, Giza, Egypt.
Abstract
Two field trials were carried out at Ismaelia Agricultural Research Station in summer of 2002 and 2003 seasons to estimate the relative contributions of yield components for intercropping sesame (Giza 32) on groundnut (Giza5) varieties using simple correlation, multiple regression and stepwise regression analysis procedures. Results of simple correlation analysis for sesame cleared that significant positive correlation was found between seed yield kg/fed. (y1) and each of oil quantity ,No.of capsules, seed yield / plant and stand plant with r- values being 0.940 ,0.695 ,0.682 and 0.660, respectively. There were highly significant positive correlations between quantity of oil (y2) and each of No.of capsules ,seed yield /plant and percentage of stand plant with r- values of 0.665, 0.608 and 0.578, respectively . The multiple regression analysis cleared that the relative contributions for all characters were 92.8% and 76.5% in the total variation for seed yield and quantity of oil ,respectively. Stepwise regression analysis selected four variables out of ten contributing by 92.8% in the variance of seed yield . These factors were quantity of oil/seed (x7), stand plant ratio (x10), seed yield/plant (x8) and plant height (x6) with R2 of 88.4 ,2 , 1.2 and 1 %, respectively, in total variation of seed yield. Stepwise also selected six out of nine variables contributing by 75.3% from the variance of quantity of oil and these variables were No, of capsules/plant (x4) , plant height (x6) , stand of plant (x9), No. of leaves/plant (x5), weight of 1000 seeds (x8) and seed yield/plant (x7) with R 2 being 44.3,15.9,6.4,4.4,2.6 and 1.7%, respectively.
For groundnut , results of simple correlation analysis cleared significant positive correlation between yield kg/fed and each of oil quantity, weight of pod / plant and weight of 100 seeds, with r- values of 0.803, 0.760 and 0.633, respectively. Multiple regression analysis indicated that the relative contributions for all characters were 80.2% from the total variation for yield kg/fed. Results of stepwise regression analysis revealed that three out of eleven variables contributed by 74.8% in the total variation for yield kg/fed .. These variables were quantity of oil/seed (x7), weight of 100seeds (x9) and weight of pod/plant (x10) with R2 being 64.6, 6.8 and 3.4% respectively.
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