MULTIVARIATE ANALYSIS OF YIELD AND RELATIVE CONTRIBUTION OF VARIABLES TO ITS VARIATION IN COTTON YIELD | ||||
| Journal of Plant Production | ||||
| Article 5, Volume 29, Issue 10, October 2004, Page 5467-5473 PDF (1.89 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jpp.2004.238823 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| I. S.M. Hassan1; A. M. Abdel-Aziz2 | ||||
| 1Cotton Res. Institute, Agric. Res. Cent. Giza, Egypt. | ||||
| 2Cent. Lab. For Design and Stat. Analysis A.R.C. Giza Egypt. | ||||
| Abstract | ||||
| The stepwise multiple linear regression analysis was used to study the relationship between the variables using two models. While the first one seed cotton yield (ken.lF.) is considered the dependent variable. In the second one lint yield (ken.lF.) is considered the dependent variable. Three variables were significantly contributing to variation in seed cotton yield, these variables were number of bolls/plant, boll weight and seed index with relative contribution equal to (R2%) 91.69% for all variables and contribution 91.63% for acceptance variables. Meanwhile two variables were significantly contributing to variation in lint yield, these variables were number of bolls/plant and boll weight with relative contribution 91.17% for all variables and 91.14% for acceptance variables. The path coefficient analysis indicated that number of bolls/plant and boll weight were the most prominent direct and indirect effects on seed cotton yield and lint yield. Total contribution of these characters over all variation in seed cotton yield (mod.1) and lint yield (mod.2) were 91.61 % and 90.63%, respectively. In general the results obtained herein indicated that number of bolls/plant and boll weight were the major and most consistent source accounting for variation as total contribution. | ||||
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