Character association and path analysis of pooled data from multiple
environments in cucumber
Abstract
Pooled data portrays wide range of environmental conditions by reducing
the effects of outliers. On that basis, character association and path
analysis were studied to assist the selection of traits in breeding
approach of Cucumis sativus L. Total of 52 genotypes were evaluated at
three locations during 2022 and 2023 at College of Horticulture,
Bagalkot, Karnataka, India in RCBD design. The correlation estimates
revealed that yield per hectare had significant positive correlation
with fruit yield per vine(0.99), fruit yield per plot(0.99), number of
fruits per vine(0.75) and vine length(0.38). Parameters like vine
length, number of branches per plant, days to first and last harvest,
sex ratio, fruit length and diameter, TSS, average fruit weight and
yield per plot showed direct positive effect on yield per hectare at
genotypic level. This suggested that selection criteria based on these
parameters may be effective to improve yield per hectare in cucumber.