Inter-trait association and genetic variability assessment in cabbage under Lucknow conditions

Published

2014-06-30

Keywords:

Cabbage, variability, correlation, path analysis.
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Authors

  • M.L Meena Department of Applied Plant Science (Horticulture), Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Rae Bareli Road, Lucknow 226 025, Uttar Pradesh
  • R.B Ram Department of Applied Plant Science (Horticulture), Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Rae Bareli Road, Lucknow 226 025, Uttar Pradesh
  • Rubee Lata Department of Applied Plant Science (Horticulture), Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Rae Bareli Road, Lucknow 226 025, Uttar Pradesh
  • S.R Sharma Department of Applied Plant Science (Horticulture), Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Rae Bareli Road, Lucknow 226 025, Uttar Pradesh
  • R.K Sharma Department of Applied Plant Science (Horticulture), Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Rae Bareli Road, Lucknow 226 025, Uttar Pradesh

Abstract

The studies on inter-trait association and genetic variability assessment were carried out in 30 diverse cabbage genotypes for 11 quantitative characters. The study showed high range for marketable yield, days to maturity and leaf length. The highest estimates of PCV and GCV were for stalk length followed by core length and yield and low for leaf width followed by polar length and days to maturity. A high estimate of heritability was noticed for yield followed by leaf length and equatorial length. High heritability in broad sense indicated that large proportion of phenotypic variance was attributable to the genotypic variance and were less influenced by environment. High genetic gain (%) was observed for yield, whereas it was low for days to maturity and polar length. Positive and significant association of yield was observed with all the characters except days to maturity and stalk length at both genotypic and phenotypic level indicating that selection based on these characters either in combination or alone will result in identifying the genotypes having high yield potential. The gross weight, leaf length, stalks length and head weight had maximum direct effect on yield followed by number of non-wrapper leaves and equatorial length.

How to Cite

Meena, M., Ram, R., Lata, R., Sharma, S., & Sharma, R. (2014). Inter-trait association and genetic variability assessment in cabbage under Lucknow conditions. Indian Journal of Horticulture, 71(02), 202–206. Retrieved from https://journal.iahs.org.in/index.php/ijh/article/view/1321

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