Comparison Of Some Statistical Techniques In Evaluating Sesame Yield And Its Contributing Factors
Journal Title: Scientia Agriculturae - Year 2013, Vol 1, Issue 1
Abstract
Two field experiments were carried out in a commercial field at Abo Rawash village, Giza governorate, Egypt during 2004 and 2005 seasons to compare five statistical procedures including: simple correlation, path analysis, multiple linear regression, stepwise regression and factor analysis were in determining the relationship between sesame seed yield and its contributing traits. Thirty sesame genotypes were used for this purpose. The studied characters were: flowering date, plant height, stem height to the first capsule, fruiting zone length, number of capsules on main stem, number of capsules per plant, capsule density on main stem, 1000-seed weight and seed yield per plant. The most important results can be summarized as follows: 1. The simple correlation coefficients and path analysis of yield components revealed that components with the highest positive correlation to yield also had the highest positive direct effect to yield i.e., number of capsules on main stem and number of capsules per plant. Path analysis showed that, the residual effect (0.433) was high in magnitude which shows that some other important yield contributing characters which contribute to yield have to be included. 2. Stepwise multiple regression analysis showed that 77.25% of the total variation in seed yield could be explained by the variation in number of capsules per plant and flowering date in sesame. The linear regression equation was (Y) = 10.951 - 0.110 X1 + 0.114 X7, where Y, X1and X7 represent seed yield per plant, flowering date and number of capsules per plant, respectively. 3. Besides, coefficient of determination (R2), adjusted R-squared statistic and standard error of estimate values, mean absolute error (MAE) and Durbin-Watson (DW) statistic test showed no significant differences between the full model regression and stepwise multiple regression analysis technique. However, the efficiency expressed is due to the reduction in number of variables in the fitted model from all variables (full model regression) to two variables only (stepwise multiple regression). 4. Factor analysis indicated that three factors could explain approximately 81.9% of the total variation. Factor analysis indicated that three factors could explain approximately 81.9% of the total variation. The first factor which accounted for about 41% of the variation was strongly associated with fruiting zone length, number of capsules on main stem, number of capsules per plant, and capsule density. The second factor which accounts for about 25% of the variation, was strongly associated and positive effects on days to flowering, 1000-seed weight, plant height and stem height to the first capsule, whereas the third factor had positive effects on number of fruiting branches only, which accounts for about 16% of the variation. Factor analysis technique was more efficient than other used statistical techniques. It provides more information about cluster of inter-correlated variables. 5. Based on the five of statistical analysis techniques, agreed upon that high yield of sesame plants could be obtained by selecting breeding materials with high number of capsules on main stem, number of capsules per plant, plant height and increasing capsule density on the main stem.
Authors and Affiliations
Ashraf A Abd El- Mohsen
Keywords
Related Articles
- EP ID EP162540
- DOI -
- Views 149
- Downloads 0
Effects of Planting Methods, Nitrogen Fertilizer and Plant Density on Quality and Quantity of Borage (Borago officinalis L.)
In order to study the effect of two planting methods (Furrow and Basin) three within row distances (15, 20 and 25 cm) and three levels of nitrogen fertilizer (50,100 and 150 kg.ha) on the quality and quantity of yi...
Evaluation of spring bread wheat lines/ varieties in international observation nurseries and yield trials in moderat region of Iran
The main objective of this research was to evaluate spring bread wheat cultivars genotypes selected from joint project of Iran/CIMMIT using several indices. In order to selecting new spring bread wheat cultivars wi...
Rhizoplane mycoflora of cocoyam [colocasia esculenta (l.) Schott] corms at nsukka, nigeria and their involvement in rot development during storage
Corms of cocoyam [Colocasia esculenta (L) Schott] planted in five different local government areas in Nsukka zone, Enugu State, were employed for this study. Six months old corms were used for these mycoflora inves...
Seasonal variations of population density of root knot nematode, Meloidogyne incognita as affected by different cropping sequences
Based on two cropping sequences including pepper- cucumber- common bean-sesame and green bean - cucumber-onion- sesame for controlling root-knot nematode, Meloidogyne incognita under protected greenhouse conditions...
Climate change impact on food security of rural households in Gibaish locality of West Kordofan State, Sudan
The current study focused on the linkage between climate change and food security of rural households in Gibaish locality. The overall objective was to explore the level of food security and impacts of climate cha...