Cucumber (Cucumis sativus L.) production under greenhouse conditions: correlations among variables
DOI:
https://doi.org/10.22458/rpys.v18i2.2291Keywords:
Cucumis sativus, Pearson correlation, linear regression, yield, number of fruits per plantAbstract
For 14 cucumber genotypes grown under greenhouse conditions the researchers estimated Pearson correlations between seven quantitative variables: fruit length (cm), fruit width (mm), fruit weight (g), number of fruits per plant, total and commercial yield (kg/m2), and percentage of total soluble solids (°Brix). Among the 14 evaluated genotypes there were eight Pearson correlations that were high (r≥0,66) and statistically significant (p≤0,05). In those cases the linear regression statistics were calculated: fruit length and weight (r=0,92); fruit width and weight (r=0,66); fruit weight and number of fruits per plant (r=-0,84); fruit width and number of fruits per plant (r=-0,77); fruit width and percentage of total soluble solids (r=0,69); number of fruits per plant and percentage of total soluble solids (r=-0,67); fruit length and number of fruits per plant (r=-0,72); and total and commercial yield (r=0,81). Statistically significant correlations were also observed in four additional cases, not across all genotypes but estimated according to the type of cucumber (long, medium or small): total and commercial yield; number of fruits per plant and total yield; number of fruits per plant and commercial yield. And, only for the small cucumber type, there were significant correlations between fruit width and percentage of total soluble solids. It is concluded that the cucumber type included in the analysis has a large effect in the correlation results. The number of fruits per plant should be considered an essential characteristic for yield breeding in cucumber.
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