Determining genetic variability of traits in backcross populations of sweet corn (Zea mays L. var. Saccharata)

Authors

  • Krishnakumar Rathinavel Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, TNAU, Coimbatore-641003, Tamil Nadu, India
  • Sarankumar Chandran Adhiparasakthi Agricultural and Horticultural College, Kalavai, Ranipet-632 506, Tamil Nadu, India
  • Bharani Manoharan Department of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, India
  • Uma Doraiswamy Department of Biochemistry, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, India
  • Ravikesavan Rajasekaran Department of Genetics and Plant Breeding, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, India
  • John Kenedy Zachariah Department of Genetics and Plant Breeding, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, India
  • Senthil Natesan Department of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, India

DOI:

https://doi.org/10.25081/jp.2022.v14.8099

Keywords:

Maize, Genetic advance, Heritability, Genetic variability

Abstract

To understand the nature of the traits in breeding programme, knowledge on heritability, genetic advance and genetic variability are inevitable. The paramount aim of the present study was to estimate the heritability, genetic advance and genetic variability of the backcross and selfed population of sweet corn and β-carotene rich inbred combinations viz., USC1-2-3-1× UMI1230β+ and SC1107× UMI1230β+ in order to identify the plants with superior trait combinations. The study involved the recording of fourteen biometrical traits in both the cross combinations which revealed that in backcross and selfed populations, the phenotypic coefficient of variation (PCV) was found to be greater than the genotypic coefficient of variation (GCV) indicating the probable influence of environment in the expression of the traits evaluated. High heritability was recorded for the important trait single plant yield in both the cross combinations of BC2F2 generation. Further, high heritability and high genetic advance as percent of mean was noticed for the traits like plant height, cob length, leaf length and single plant yield under both the cross combinations of BC2F2 generation indicates the governance of additive genes in expression of these traits. Hence, selection for these traits would be effective in developing a genotype with improved yield.

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References

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Published

13-12-2022

How to Cite

Rathinavel, K., Chandran, S., Manoharan, B., Doraiswamy, U., Rajasekaran, R., Zachariah, J. K., & Natesan, S. (2022). Determining genetic variability of traits in backcross populations of sweet corn (Zea mays L. var. Saccharata). Journal of Phytology, 14, 132–135. https://doi.org/10.25081/jp.2022.v14.8099

Issue

Volume 14, 2022

Section

Articles

Copyright (c) 2022 Krishnakumar Rathinavel, Sarankumar Chandran, Bharani Manoharan, Uma Doraiswamy, Ravikesavan Rajasekaran, John Kenedy Zachariah, Senthil Natesan

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This work is licensed under a Creative Commons Attribution 4.0 International License.