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/v12i1030864Abstract
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.
Cited by 5
H Fathima Sinana, R. Ravikesavan, K. Iyanar · Electronic Journal of Plant Breeding · 2023
Gagan Tripathi, Vanshika Gupta, Rajat Joshi · Madras Agricultural Journal · 2023
Eko Hary Pudjiwati, Siti Zahara · J-PEN Borneo Jurnal Ilmu Pertanian · 2021
Anishetti Saritha, E. Umarani, A. V. Ramanjaneyulu · International Journal of Environment and Climate Change · 2022
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