Diversity of Yield Component Traits in Several genotypes of Sweet Corn
DOI:
https://doi.org/10.8726/709w0p98Keywords:
Genetic diversity, Uniformity, Sweet corn, SelectionAbstract
Abstract:
Sweet corn is a type of corn that has been widely cultivated in Indonesia. It is preferred over regular corn due to its sweeter taste. The increase in sweet corn production can be achieved by expanding the planting area or using high-yielding varieties. In plant breeding, the focus on increasing crop production is primarily through the use of high-yielding varieties. One approach is through plant selection, where high-yielding potential plants are selected to become superior varieties. At the initial stage of selection from crosses, plants with wide genetic diversity are identified. The selected plants are then developed to become more uniform, indicated by a narrower range of diversity. Narrow genetic diversity is achieved in advanced generations. The aim of this study was to examine the genetic diversity and trait feasibility in the developing lines of sweet corn as a basis for further selection. The materials used in the study were 14 lines of sweet corn, fertilizers, and pesticides. Sweet corn was planted in plot land using a Randomized Block Design with two replications. The results from the fourth generation of sweet corn plants showed that the traits of leaf number, plant height, ear length, and husk length exhibited narrow genetic diversity in most populations. Traits with narrow genetic diversity in the plant population can be selected again to increase uniformity and homozygosity in subsequent generations, leading to a fully uniform population.
References
Hu, Y., Colantonio, V., Müller, B., Leach, K., Nanni, A., Finegan, C., Wang, B., Baseggio, M., Newton, C., Juhl, E., Hislop, L., González, J., Rios, E., Hannah, L., Swarts, K., Gore, M., Hennen-Bierwagen, T., Myers, A., Settles, A., Tracy, W., & Resende, M. (2021). Genome assembly and population genomic analysis provide insights into the evolution of modern sweet corn. Nature Communications, 12. https://doi.org/10.1038/s41467-021-21380-4.
Prabasari, I., & Budiyanto, G. (2023). Human feces compost as an organic fertilizer for sweet corn cultivation in volcanic soil of Mt. Merapi, Indonesia. African Journal of Food, Agriculture, Nutrition and Development. https://doi.org/10.18697/ajfand.124.20990.
Harakotr, B., Sutthiluk, W., & Rithichai, P. (2022). Changes on Sugar and Starch Contents during Seed Development of Synergistic Sweet Corn and Implication on Seed Quality. International Journal of Agronomy. https://doi.org/10.1155/2022/6550474.
Sivamurugan, A., Ravikesavan, R., & Bharathi, C. (2022). Evaluation of Sweetcorn Hybrids under Varying Planting Density and Nutrient Levels. Agricultural Science Digest - A Research Journal. https://doi.org/10.18805/ag.d-5465.
Wang, C., Li, H., Long, Y., Dong, Z., Wang, J., Liu, C., Wei, X., & Wan, X. (2023). A Systemic Investigation of Genetic Architecture and Gene Resources Controlling Kernel Size-Related Traits in Maize. International Journal of Molecular Sciences, 24. https://doi.org/10.3390/ijms24021025.
Merrick, L., Herr, A., Sandhu, K., Lozada, D., & Carter, A. (2022). Optimizing Plant Breeding Programs For Genomic Selection. Agronomy. https://doi.org/10.20944/preprints202202.0048.v1.
Dagnaw, T., Mulugeta, B., Haileselassie, T., Geleta, M., & Tesfaye, K. (2022). Phenotypic Variability, Heritability and Associations of Agronomic and Quality Traits in Cultivated Ethiopian Durum Wheat (Triticum turgidum L. ssp. Durum, Desf.). Agronomy. https://doi.org/10.3390/agronomy12071714.
Gervais, L., Morellet, N., David, I., Hewison, A., Réale, D., Goulard, M., Chaval, Y., Lourtet, B., Cargnelutti, B., Merlet, J., Quéméré, E., & Pujol, B. (2022). Quantifying heritability and estimating evolutionary potential in the wild when individuals that share genes also share environments.. The Journal of animal ecology. https://doi.org/10.1111/1365-2656.13677.
Young, A., Frigge, M., Gudbjartsson, D., Thorleifsson, G., Bjornsdottir, G., Sulem, P., Másson, G., Thorsteinsdóttir, U., Stefánsson, K., & Kong, A. (2018). Relatedness disequilibrium regression estimates heritability without environmental bias. Nature genetics, 50, 1304 - 1310. https://doi.org/10.1038/s41588-018-0178-9.
Oliveira, G., Nascimento, A., Nascimento, M., Sant’anna, I., Romero, J., Azevedo, C., Bhering, L., & Moura, E. (2021). Quantile regression in genomic selection for oligogenic traits in autogamous plants: A simulation study.. PloS one, 16 1, e0243666 . https://doi.org/10.1371/journal.pone.0243666.
Guénet, J., Benavides, F., Panthier, J., & Montagutelli, X. (2015). Quantitative Traits and Quantitative Genetics. , 361-388. https://doi.org/10.1007/978-3-662-44287-6_10.
Abikkumar, C., Senthil, N., Mohanapriya, B., Parathasarathi, G., Sivakumar, S., Gurusamy, K., & Sudha, M. (2023). Correlation and variability analysis for yield and related traits of sweet corn in backcross populations. Journal of Phytology. https://doi.org/10.25081/jp.2023.v15.8608.
Roze, D. (2016). Background Selection in Partially Selfing Populations. Genetics, 203, 937 - 957. https://doi.org/10.1534/genetics.116.187955.
Li, X., Zhou, Z., Ding, J., Wu, Y., Zhou, B., Wang, R., Ma, J., Wang, S., Zhang, X., Xia, Z., Chen, J., & Wu, J. (2016). Combined Linkage and Association Mapping Reveals QTL and Candidate Genes for Plant and Ear Height in Maize. Frontiers in Plant Science, 7. https://doi.org/10.3389/fpls.2016.00833.
Shu, G., Wang, A., Wang, X., Chen, R., Gao, F., Wang, A., Li, T., & Wang, Y. (2023). Identification of QTNs, QTN-by-environment interactions for plant height and ear height in maize multi-environment GWAS. Frontiers in Plant Science, 14. https://doi.org/10.3389/fpls.2023.1284403.
Nemati, A., Sedghi, M., Sharifi, R., & Seiedi, M. (2009). Investigation of Correlation between Traits and Path Analysis of Corn (Zea mays L.) Grain Yield at the Climate of Ardabil Region (Northwest Iran). Notulae Botanicae Horti Agrobotanici Cluj-napoca, 37, 194-198. https://doi.org/10.15835/NBHA3713120