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Vol. 10, Issue 12 (2021)

Genetic variability, interrelationships and path analysis for growth and yield attributes in F4 segregating population of Brinjal (Solanum melongena L.)

Author(s):
Poornima Sajjan TS, Devaraju, Srinivasa V, Lakshmana D and Singh TH
Abstract:
A field experiment was conducted to assess the magnitude of genetic variability present in F4 segregating population of the Brinjal cross Sarparam Vanga × Harita among 200 plants during Rabi Season 2020-21. The experiment was laid out in augmented block design at College of Horticulture, Mudigere. The analysis of data revealed the presence of considerable variability for all the characters among the genotypes. High heritability coupled with high genetic advance as per cent over mean was observed for most of the characters studied suggesting that these characters can be improved through direct selection due to predominance additive gene action. Correlation studies revealed highly significant positive correlation with number of flower clusters per plant, number of fruits per plant and significant positive association with average fruit weight at both phenotypic and genotypic level. Path coefficient analysis showed that maximum positive direct effect of number of fruits per plant followed by average fruit weight, days to first flowering, number of fruits per cluster and fruit length on fruit yield per plant at both phenotypic and genotypic level. Hence, the direct selection may be executed considering these traits as the main selection criteria to reduce indirect effects of the other characters during the development of high-yielding Brinjal varieties/hybrids.
Pages: 1376-1379  |  217 Views  116 Downloads


The Pharma Innovation Journal
How to cite this article:
Poornima Sajjan TS, Devaraju, Srinivasa V, Lakshmana D, Singh TH. Genetic variability, interrelationships and path analysis for growth and yield attributes in F4 segregating population of Brinjal (Solanum melongena L.). Pharma Innovation 2021;10(12):1376-1379.

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