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Correlation and path coefficient analysis of different maize genotypes under rainfed condition

International Journal of Advanced Biochemistry Research · 2024 · Vol. 8(7S) · pp. 112–117
Priyanka UppalAlok KumarRitika SinghShivani KaundalPriyanka

Abstract

The current study was conducted at the Research Farm of the School of Agriculture, Abhilashi University, Mandi (H.P) during the kharif season 2023 with three replication in RBD under rainfed condition to assess 24 maize genotypes procured from NBPGR regional station Shimla and 5 local cultivar collected from different area of the Mandi district. To ascertain the relationship between various features and their direct and indirect impacts on the amount of seed produced per plant, genotypic and phenotypic correlation coefficients as well as path coefficients were determined. At genotypic and phenotypic level trait grain yield per plant showed positive and significant correlation with number of kernel row per cob, number of kernel per row, number of kernel per cob, 100 kernel weight (g), shelling %. Path coefficient analysis revealed that the highest positive direct effect on grain yield was contributed by number of kernel per cob, number of kernel per row, number of kernel row per cob, 100 kernel weight (g), shelling % had high positive direct effect on grain yield per plant.

Genetics and Plant BreedingCrop Yield and Soil FertilityAgricultural Science and FertilizationPath coefficientCorrelationCorrelation coefficientPath analysis (statistics)Path (computing)MathematicsStatisticsGenotypeAgronomyBiology
Citations
0
FWCI
0.00
field-weighted impact
References
16
Percentile
6%
vs. same field & year
References
Assessment of quantitative genetic variability and character association in maize (Zea mays L.)
Journal of Pharmacognosy and Phytochemistry · 2018 · 22 citations
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