Univrsity of Tehran Press Iranian Journal of Field Crop Science 2008-4811 49 1 2018 05 22 Multivariate analyses of quantitative and qualitative characteristics of hopeful cotton varieties under cold weather conditions Multivariate analyses of quantitative and qualitative characteristics of hopeful cotton varieties under cold weather conditions 189 195 66835 10.22059/ijfcs.2017.228676.654288 FA Farshid Talat Mehdi Badri Anarjan Kazem Setoodehmaram Journal Article 2017 02 27 This research was conducted in order to evaluate of quantitative and qualitative characteristics of some hopeful cotton cultivars in Urmia region. In this study 8 cultivars were evaluated along with Varamin and Sahel as check cultivars in form of complete randomized block design with 4 replications in 2014, 2015 and 2016 (three cropping seasons). The Combination analysis results showed that the Interaction between treatments effect in the year to end-yield, yield per plant and boll weight (α =0.05), as well as the number of bolls per plant probability level (α = 0.01) were significant. In Stepwise regression analysis two variables, the number of bolls per plant, boll weight entered in the model. Path analysis showed that the number of bolls per plant had direct impact on yield (0.9934) and indirect effect of boll weight and number of bolls per plant on yield was higher than the rest of properties and as well as principal components analysis for the two main components of the high-value variables to determine, the number of bolls per plant is present in both components.This feature can be used to improve the commercial cultivars background and hybrid seed production which could be considered in this area. This research was conducted in order to evaluate of quantitative and qualitative characteristics of some hopeful cotton cultivars in Urmia region. In this study 8 cultivars were evaluated along with Varamin and Sahel as check cultivars in form of complete randomized block design with 4 replications in 2014, 2015 and 2016 (three cropping seasons). The Combination analysis results showed that the Interaction between treatments effect in the year to end-yield, yield per plant and boll weight (α =0.05), as well as the number of bolls per plant probability level (α = 0.01) were significant. In Stepwise regression analysis two variables, the number of bolls per plant, boll weight entered in the model. Path analysis showed that the number of bolls per plant had direct impact on yield (0.9934) and indirect effect of boll weight and number of bolls per plant on yield was higher than the rest of properties and as well as principal components analysis for the two main components of the high-value variables to determine, the number of bolls per plant is present in both components.This feature can be used to improve the commercial cultivars background and hybrid seed production which could be considered in this area. https://ijfcs.ut.ac.ir/article_66835_ed968bf0d79db72c85a5d04c0d42b30d.pdf