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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 9, Issue 6 (2020)

Trait association and path coefficient analysis in maize (Zea mays L.) for grain yield and its attributes

Author(s):

Niranjan Kumar Chaurasia, RBP Nirala, Birender Singh and SS Mandal

Abstract:
The present investigation was carried out at the experimental area, Bihar Agricultural College, Sabour in Kharif-2019 with thirty one genotypes comprising seven inbred lines, their twenty one F1’s developed through diallel mating scheme and three hybrids as a check. Analysis of variance for design of experiment for fourteen quantitative characters revealed that mean squares due to genotypes were highly significant for all the characters studied. The results indicated that the genotypic correlation coefficient is greater than the corresponding phenotypic correlation coefficient for all the traits studied. Trait association at genotypic and phenotypic levels for grain yield and its attributes revealed that grain yield per plant had highly significant positive phenotypic association with plant height (0.789**), ear height (0.724**), ear length (0.875**), ear diameter (0.833**), kernel rows per ear (0.733**), kernels per row (0.884**), grains per plant (0.898**), 1000-kernels weight (0.324**) and shelling per cent (0.712**). The traits like, days to anthesis, days to silk, anthesis-silking interval and days to 50 per cent physiological maturity exhibited highly significant and negative association with grain yield per plant. Path coefficient analysis at phenotypic level revealed that the trait, days to 50 per cent silk (2.469) had the highest positive direct effect on grain yield per plant followed by grains per plant (1.019), 1000-kernel weight (0.383), ear height (0.086), ear length (0.085), kernel rows per ear (0.065), ear diameter (0.025) and days to 50 per cent physiological maturity (0.024). Hence, direct selection all for these traits will be effective.

Pages: 527-531  |  767 Views  243 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
Niranjan Kumar Chaurasia, RBP Nirala, Birender Singh and SS Mandal. Trait association and path coefficient analysis in maize (Zea mays L.) for grain yield and its attributes. J Pharmacogn Phytochem 2020;9(6):527-531.

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