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Vol. 12, Issue 12 (2023)

Studies on genetic variability, heritability and genetic advance in exotic maize (Zea mays L.) Inbreds for yield and yield component traits

Author(s):
Ritu Rani, Umate SM, Mohammedi Begum, Borde Yogesh, Kadam KV, Kalpande HV and Deshmukh JD
Abstract:
The present investigation was carried out at the Wheat and Maize Research Station, VNMKV, Parbhani (M.S.) during Rabi 2022-23 to assess the genetic variability, heritability, and genetic advance among 47(38 fixed inbreds and 9 doubled haploids) with 3 checks including Phule Maharshi, Rajarshi and PAC 251. The trial was conducted in Randomized Block design with two replications and observations were recorded for 12 yield contributing traits in maize. Analysis of Variance (ANOVA) reported presence of significant variation in the genotypes for all the twelve traits. The values of phenotypic coefficient of variance is reported to be slightly higher than their corresponding genotypic coefficient of variation suggesting less effect of environment on expression of these traits. Based on the mean, the range of variation was more for characters viz., days to 50% to tassel, days to 50% to Silk, days to 75% dry husk, plant height, Cob placement height, cob length, cob girth, number of kernel rows, kernels/ row, grains /cob, 100 seed wt., grain yield / plant. Mean performances of grain yield and other morphological traits revealed that yielding potential of genotypes VL 18314, VL 19842 and KL 141702 were highest yielding potential and also as par the check, Rajarshi. High value of heritability together with high genetic advance were recorded for the traits viz., cob placement height, kernels per row, number of grains per cob, 100 grain weight and grain yield per plant.
Pages: 2774-2779  |  368 Views  130 Downloads


The Pharma Innovation Journal
How to cite this article:
Ritu Rani, Umate SM, Mohammedi Begum, Borde Yogesh, Kadam KV, Kalpande HV, Deshmukh JD. Studies on genetic variability, heritability and genetic advance in exotic maize (Zea mays L.) Inbreds for yield and yield component traits. Pharma Innovation 2023;12(12):2774-2779. DOI: 10.22271/tpi.2023.v12.i12ah.24992

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