Genetic variation of morphological and yield-related traits in backcrossed and selfed population of maize

Authors

  • Iman Saha Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore - 641003, Tamil Nadu, India
  • Krishnakumar Rathinavel Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore - 641003, 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
  • Adhimoolam Karthikeyan Department of Biotechnology, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai - 625104, Tamil Nadu, India
  • Vellaikumar Sampathrajan Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore - 641003, Tamil Nadu, India
  • Ravikesavan Rajasekaran Center for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore - 641003, India
  • Muthurajan Raveendran Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore - 641003, Tamil Nadu, India
  • Natesan Senthil 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.v14.7935

Keywords:

backcross population, gene action, skewness, kurtosis, selection

Abstract

The number of genes controlling the morphological and yield-related traits and their mode of action plays a vital role in selecting traits and favourable progenies in a segregating population. In this study, we analysed the skewness and kurtosis in the backcrossed and selfed populations of SC11-2×UMI1230β1+. Negative skewness refers to redundant gene activity, positive skewness is connected to complementary gene action. Positive kurtosis suggests the existence of gene activity controlled by a smaller number of genes. Negative kurtosis shows a lack of gene activity and is controlled by a large number of genes. The BC2F2 population of plant height and single plant yield showed positive skewness and platykurtic distribution, suggesting that the genes were governed by complementary gene action and controlled by the large number of genes. This implied need for rigorous selection to achieve a genetic gain in later generations. Cob length and kernel weight showed a duplicate gene action which implied that mild selection can fix these traits and accelerate genetic gain.

Downloads

Download data is not yet available.

References

Chandana, A. S., John, J. A., Ravikesavan, R., & Uma, D. (2018). Genetic variability and correlation studies of yield and phytic acid in F2 populations of maize (Zea mays L.). Electronic Journal of Plant Breeding, 9(4), 1469-1475. https://doi.org/10.5958/0975-928x.2018.00182.5

Fisher, R. A., Immer, F. R., & Tedin, G. (1932). The genetical interpretation of statistics of the third degree in the study of quantitative inheritance. Genetics, 17(2), 107-124. https://doi.org/10.1093/genetics/17.2.107

Gravetter, F. J., Wallnau, L. B., Forzano, L. A. B., & Witnauer, J. E. (2020). Essentials of statistics for the behavioral sciences. (10th ed.). Massachusetts, US: Cengage Learning.

Kapur, S. K. (1980). Elements of Practical Statistics. New Delhi, India: Oxford and IBH Publishing Co. Pvt. Ltd.

Lal, M., & Singh, D. (2014). Studies of variability using morphological and quality traits in quality protein maize (Zea mays L.). Electronic Journal of Plant Breeding, 5(3), 526-530.

Mehta, B., Hossain, F., Muthusamy, V., Baveja, A., Zunjare, R., Jha, S. K., & Gupta, H. S. (2017). Microsatellite-based genetic diversity analyses of sugary1-, shrunken2-and double mutant-sweet corn inbreds for their utilization in breeding programme. Physiology and Molecular Biology of Plants, 23, 411-420. https://doi.org/10.1007/s12298-017-0431-1

Nagalakshmi, R. M., Ravikesavan, R., Paranidharan, V., Manivannan, N., Firoz, H., Vignesh, M., & Senthil, N. (2018). Frequency distribution analysis in maize (Zea mays L.) backcross populations. Research Journal of Agricultural Sciences, 9(6), 1270-1274.

Neelima, C., Sarankumar, C., Sudha, M., Ganesan, K. N., Ravikesavan, R., & Senthil, N. (2020). Estimation of variability, heritability, genetic advance and assessment of frequency distribution for morphological traits in intercross population of maize. Electronic Journal of Plant Breeding, 11(2), 574-580.

Pooni, H. S., Jinks, J. L., & Cornish, M. A. (1977). The causes and consequences of non-normality in predicting the properties of recombinant inbred lines. Heredity, 38, 329-338. https://doi.org/10.1038/hdy.1977.95

Pukalenthy, B., Manickam, D., Adhimoolam, K., Arunachalam, K., Ganapathyswamy, H., Chocklingam, V., & Natesan, S. (2018). Studies on Frequency Distribution of Backcross Populations in Maize (Zea mays L.). Research Journal of Agricultural Sciences, 9(6), 1340-1344.

Rani, C., Anandakumar, C., Raveendran, M., Subramanian, K., & Robin. (2016). Genetic variability studies and multivariate analysis in F2 segregating populations involving medicinal rice (Oryza sativa L.) Cultivar Kavuni. International Journal of Agriculture Sciences, 8(35), 1733-1735.

Revilla, P., Anibas, C. M., & Tracy, W. F. (2021). Sweet corn research around the world 2015–2020. Agronomy, 11(3), 534. https://doi.org/10.3390/agronomy11030534

Robson, D. S. (1956). Applications of the k4 statistic to genetic variance component analyses. Agronomy, 12(4), 433-444. https://doi.org/10.2307/3001682

Sarankumar, C., Dhasarathan, M., Kavithamani, D., Vanniarajan, C., Kokiladevi, E., Ravikesavan, R., & Senthil, N. (2019). Assessment of genetic variability, heritability and genetic advance in backcross population of BC1F1, BC2F1 and BC2F2 in maize. Electronic Journal of Plant Breeding, 10(2), 576-584. https://doi.org/10.5958/0975-928X.2019.00073.5

Singh, I., Langyan, S., & Yadava, P. (2014). Sweet corn and corn-based sweeteners. Sugar tech, 16, 144-149. https://doi.org/10.1007/s12355-014-0305-6

Published

21-09-2022

How to Cite

Saha, I., Rathinavel, K., Manoharan, B., Karthikeyan, A., Sampathrajan, V., Rajasekaran, R., Raveendran, M., & Senthil, N. (2022). Genetic variation of morphological and yield-related traits in backcrossed and selfed population of maize. Journal of Phytology, 14, 95–99. https://doi.org/10.25081/jp.2022.v14.7935

Issue

Section

Articles