International Journal of Ecology and Environmental Sciences

International Journal of Ecology and Environmental Sciences


International Journal of Ecology and Environmental Sciences
International Journal of Ecology and Environmental Sciences
2020, Vol. 2, Issue 4
Assessment of genetic variability in advanced breeding lines of okra for identification of superior genotypes based on fruit yield and its attributing traits (Abelmoschus esculentus L. Moench)

Srinivasa Krishna, Gangaprasad S, Dushyantha Kumar, Nagarajappa Adivappar, Mallikarjuna HB

The present study in okra [Abelmoschus esculentus (L.) Moench]was undertaken during Kharif, 2019 at ZAHRS, Navile, UAHS, Shivamogga, to study the extent of genetic variability and identification of superior lines among advanced breeding lines in respect to fruit yield and its attributing characters in F5 lines of different crosses along with checks. The analysis of variance showed a significant amount of variability for all the traits studied in advanced breeding lines. Moderate PCV and GCV were observed for traits viz., number of branches per plant, number of fruits per plant, and fruit weight. High heritability coupled with high genetic advance as per cent mean recorded for number of branches per plant, number of fruits per plant, fruit weight, and fruit diameter revealed that a very significant improvement is possible through selection for all these characters. On the basis of mean performance for fruit yield and its components three advanced breeding lines namely C7F5, 10-11-135 and Parbhani Kranthi, which exhibited higher fruit yield per plant, were identified in the crosses for advancing to the next generation.
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How to cite this article:
Srinivasa Krishna, Gangaprasad S, Dushyantha Kumar, Nagarajappa Adivappar, Mallikarjuna HB. Assessment of genetic variability in advanced breeding lines of okra for identification of superior genotypes based on fruit yield and its attributing traits (Abelmoschus esculentus L. Moench). International Journal of Ecology and Environmental Sciences. 2020; 2(4): 260-264.