Vahid Rahimi; Mehdi Mohebedini; Alireza Ghanbari; Shiva Azizinia; Mehdi Behnamian
Abstract
In order to assessment the relationship between traits affecting yield of garden cress, an experiment was conducted in lattice square design with three replications in Eyvanekey Jihad Farm in 2016. The ANOVA showed that the difference among accessions was significant for all traits. There was a significant ...
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In order to assessment the relationship between traits affecting yield of garden cress, an experiment was conducted in lattice square design with three replications in Eyvanekey Jihad Farm in 2016. The ANOVA showed that the difference among accessions was significant for all traits. There was a significant phenotypic correlation between yield and most of the traits. The highest value of phenotypic correlation was obtained between leaf height and leaf width (0.92). The regression analysis showed that the highest effect on the yield was due to leaf height and numbers of seeds per silique of lateral branches and main axis, as these three traits were about 93% of total yield changes and leaf height was the first trait that entered to the model and explained 91% of the variation. The path analysis of phenotypic correlation showed that the leaf height had the greatest direct effects on the yield (6.81). Leaf length, in addition to the direct effect on yield, through the rest of the traits has a positive indirect impact. In factor analysis, three independent factors explained about 70% of the yield variation. The first factor consists of number of silique per plant, number of seeds per silique of lateral branches and main axis has named seed factors. The purpose of this study was detection of phenotype correlation between yield and yield components, estimation of direct and indirect effects of yield components on yield and its part in diversity justification.