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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
At Dr. YSR Horticultural University in Venkataramannagudem, thirty-two brinjal genotypes were examined during the Rabi 2022–23 growing season in terms of character association and path analysis. The reciprocal relationship between two plant characteristics is evaluated by correlation coefficient analysis, which also identifies the yield components for selection in order to increase yield. According to the results of the current study, fruit yield per plant significantly and favorably correlated with the number of fruits per plant, the percentage of fruits set in long styled flowers, the percentage of fruits set in medium styled flowers, the weight of the fruits, and the duration of the harvest time. Direct selection based on these characteristics could improve fruit yield. In addition, it was found that genotypic correlations were significantly higher than phenotypic correlations, pointing to a strong inborn association between these features. Through path coefficient analysis, the direct and indirect effects of various component attributes on yield were found. The number of fruits per plant, the proportion of fruits set in long-styled flowers, the proportion of fruits set in medium-styled flowers, the length, diameter, and weight of the fruits, as well as the duration of the harvest time, all exhibited positive correlations and direct effects on the number of fruits per plant.
Kolli Naga Durga Sai Prasanna, C. Sarada and Naram Naidu, L. 2023. Study of Correlation and Path Analysis on Yield and Yield Attributing Parameters in Brinjal (Solanum melongena (L).).
Int.J.Curr.Microbiol.App.Sci. 12(10): 208-213. doi: https://doi.org/10.20546/ijcmas.2023.1210.023