Identification of effective traits on sugar beet (Beta vulgaris L.) root yield under rhizoctonia natural infection condition
Subject Areas : crop production
1 - مرکز تحقیقات کشاورزی
Keywords: Correlation, Path analysis, Stepwise regression, Sugar beet,
Abstract :
In order to identify the effective traits on root yield and also determine the cause and effect of the relationship between them, 20 different sugar beet cultivars in a RCB design with four replications for 11 important quantitative and qualitative traits including root yield, sugar yield, sugar content, white sugar content, extraction coefficient of sugar, a-amino nitrogen, sodium, potassium, alkalinity and molasses sugar were evaluated. The results of analysis of variance showed that the difference between studied cultivars for amino nitrogen (a-N) all traits were significant at the 0.05 probability level and for other traits was important at the 0.01 probability level. Phenotypic and genotypic coefficients of variation for most traits were high, indicating relatively high variability in studied cultivars for evaluated traits. Correlation coefficients between traits showed that there was the most negative and significant correlation between root yield trait with sugar content (-0.62), whit sugar content (-0.53), alkalinity coefficient (-0.52), potassium (-049), sodium (-0.45) and also molasses sugar content (-049) traits, and the most positive and significant correlation with sugar yield (0.95) and extraction coefficient of sugar (0.58) traits, respectively. In multiple regression analysis by stepwise method, sugar content, amino nitrogen and alkalinity coefficient traits were entered into model, respectively, that explained 82 percent of root yield variations. Based on path analysis results, amino nitrogen (0.35) and white sugar content (-0.31) traits had the most and positive direct effect with root yield and thus , selection based on the mentioned traits can help us achieve high-yielding genotypes.
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