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Character association and path analysis of pooled data from multiple environments in cucumber
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  • Impa H R,
  • Ravindra Mulge,
  • Shashikanth Evoor,
  • sarvamangala Cholin,
  • namita raut,
  • Raghavendra Mesta,
  • ramanagouda hadlageri,
  • YashvanthaKumar H
Impa H R

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Ravindra Mulge
University of Horticultural Sciences
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Shashikanth Evoor
University of Horticultural Sciences
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sarvamangala Cholin
University of Horticultural Sciences
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namita raut
University of Horticultural Sciences
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Raghavendra Mesta
University of Horticultural Sciences
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ramanagouda hadlageri
University of Horticultural Sciences
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YashvanthaKumar H
University of Horticultural Sciences
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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.
Submitted to Nordic Journal of Botany
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