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Research Article Open access

Correlation and Path Coefficient Analysis in Maize (Zea mays L.)

N. Tejaswini, K. Sukumar, T. Srikanth, B. Mallaiah

International Journal of Environment and Climate Change · pp. 780–787 · Published 1 Jun 2022

10.9734/ijecc/2022/v12i1030864

Abstract

Maize is (Zea mays L.) is one of the versatile and diversified crop grown under different agro-climatic conditions. Twenty-eight experimental hybrids along with eight inbred lines and one commercial check were evaluated at agricultural polytechnic, Polasa, jagtial to determine correlation and path analysis for yield and yield attributing traits. The experiment was conducted in randomized block design with three replications. Correlation studies revealed that ear girth and 100 grain weight had showed highest positive significant correlation with grain yield per plant. Path coefficient analysis exhibited that days to 50% silking had highest positive direct effect on grain yield per plant followed by hundred grain weight, ear girth, number of kernels per row, number of kernels per row and plant height at phenotypic level and genotypic levels. Hence, these traits can be taken as the useful criteria for the development of superior hybrids that ultimately benefit the family community to improve their net income.

Maize correlation path coefficient analysis

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