Correlation, multiple regression and path analysis for some yield-related traits in safflower
Paper Details
Correlation, multiple regression and path analysis for some yield-related traits in safflower
Abstract
Safflower (Carthamus tinctorius L.) is an important oilseed crop which is cultivated predominantly in semiarid and temperate regions of the world. The aim of this study was to use statistical methods of phenotypic correlation, multiple stepwise regressions and path analysis to evaluate the relationship between yield and components yield using 20 different safflower genotypes. Plant characters such as day to initiate flowering, day to 50% flowering, day to maturity, plant height, main head diameter, heads per plants, seeds per head, 1000-seed weight and seed yield per plants were main selected measurements for the data analysis. Phenotypic correlation indicated that seed yield per plants had highly positive correlation with 1000-seed weight (r=0.79**), main head diameter (r=0.77**) and heads per plants (r=0.49*). Stepwise multiple linear regression interpretation also indicated that 90% of variation in seed yield attributed to variation which arose from 1000-seed weight, heads per plants, main head diameter and plant height characters. The results of path analysis strongly suggested that 1000-seed weight; heads per plants and main head diameter contain positive direct effect on seed yield. Therefore, it could be concluded that number of head per plant, 1000-seed weight, main head diameter and plant height are putative morphological markers which can be considered as the desirable tools for screening elite safflower genotype under the field conditions.
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Moslem Bahmankar, Daryoosh Ahmadi Nabati, Massoud Dehdari (2014), Correlation, multiple regression and path analysis for some yield-related traits in safflower; JBES, V4, N2, February, P111-118
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