Genetic diversity analysis of Indonesian soybean genotypes based on morphological characteristics and SSR markers

Authors

DOI:

https://doi.org/10.15517/6xn1r608

Keywords:

genetic background, genetic distance, genetic markers, morphological characters

Abstract

Introduction. Soybean is an important crop due to its high protein and oil content. Yellow-seeded varieties are preferred for the production of food products. Genetic diversity analysis is an important step in the selection of parental lines for breeding programs. Objective. To analyze genetic diversity of Indonesian soybean genotypes based on morphological characteristics and SSR markers. Materials and methods. Field evaluation was conducted at Bogor, Indonesia, March-June 2023. Morphological data were analyzed with principal component analysis (PCA) and principal coordinate analysis (PCoA). The genotypes were then analyzed using 14 SSR markers. Results. PCA revealed that PC1-PC4 explained 72.63 % of total genetic variation. SSR marker analysis showed excellent characteristics such as high allele number and PIC values. Genotypes grouped into two clusters with clear diversity distinction. Four genotype pairs showed high genetic diversity with favorable morphological traits related to yield and yield components. The genotype-pairs are potential as parental candidates for use in breeding programs. Conclusion. Morphological and SSR marker characterizations clearly differentiate Indonesian soybean genotypes and can identify genotype-pairs with high genetic diversity which are useful as parent candidates in breeding purposes. Both data analyses complemented each other well for better diversity findings.

Downloads

Download data is not yet available.

References

Abadi, F. R., Masithoh, R. E., Sutiarso, L., & Rahayoe, S. (2022). Effect of size reduction on yellow soybean seed characterization based on colorimetry. IOP Conference Series: Earth and Environmental Science, 1116(1), Article 012063. https://doi.org/10.1088/1755-1315/1116/1/012063 DOI: https://doi.org/10.1088/1755-1315/1116/1/012063

Asadi, Dewi, N., Nugroho, K., Terryana, R. T., Mastur, & Lestari, P. (2020). Evaluation of SSR and important agronomical characters of promising mutant lines of soybean. Biodiversitas, 21(1), 299-310. https://doi.org/10.13057/biodiv/d210137 DOI: https://doi.org/10.13057/biodiv/d210137

Babu, B. K., Sood, S., Kumar, D., Joshi, A., Pattanayak, A., Kant, L., & Upadhyaya, H. D. (2018). Cross genera transferability of rice and finger millet genomic SSRs to barnyard millet (Echinochloa spp.). 3 Biotech, 8(2), 95–114. https://doi.org/10.1007/s13205-018-1118-1 DOI: https://doi.org/10.1007/s13205-018-1118-1

Cregan, P. B., Jarvik, T., Bush, A. L., Shoemaker, R. C., Lark, K. G., Kahler, A. L., Kaya, N., VanToai, T. T., Lohnes, D. G., Chung, J., & Specht, J. E. (1999). An integrated genetic linkage map of the soybean genome. Crop Science, 39(5), 1464–1490. https://doi.org/10.2135/cropsci1999.3951464x DOI: https://doi.org/10.2135/cropsci1999.3951464x

Doyle, J. J., & Doyle, J. L. (1990). Isolation of plant DNA from fresh tissue. Focus, 12, 13-15. DOI: https://doi.org/10.2307/2419362

Dyah, R. P., Wibisono, K., Terryana, R. T., Nugroho, K., Utari, R., Suparjo, S., Umar, Lestari, P., & Tasma, I. M. (2024). Diversity Analysis of 53 Soybean Accessions Introduced from China Based on Morphological Characteristics and SSR Markers. Current Applied Science and Technology, 24(3), Article e0259116. https://doi.org/10.55003/cast.2024.259116 DOI: https://doi.org/10.55003/cast.2024.259116

Fattah, A., Idaryani, Herniwati, Yasin, M., Suriani, S., Salim, Nappu, M. B., Sahardi, M., Hannan, M. F. I., Wulanningtyas, H. S., Saenong, S., Dewayani, W., Suriany, Winanda E., Manwan, S. W., Asaad, M., Warda, Nurjanani, Nurhafsah, … Ella, A. (2024). Performance and morphology of several soybean varieties and responses to pests and diseases in South Sulawesi. Heliyon, 10(5), Article e25507. https://doi.org/10.1016/j.heliyon.2024.e25507 DOI: https://doi.org/10.1016/j.heliyon.2024.e25507

Gebregziabher, B. S., Zhang, S. R., Azam, M., Qi, J., Agyenim-Boateng, K. G., Feng, Y., Liu, Y., Li, J., Li, B., & Sun, J. (2023). Natural variations and geographical distributions of seed carotenoids and chlorophylls in 1 167 Chinese soybean accessions. Journal of Integrative Agriculture, 22(9), 2632-2647. https://doi.org/10.1016/j.jia.2022.10.011 DOI: https://doi.org/10.1016/j.jia.2022.10.011

Greenacre, M., Groenen, P. J. F., Hastie, T., Iodice d’Enza, A., Markos, A., & Tuzhilina, E. (2022). Principal component analysis. Nature Reviews Methods Primers, 2(1), Article 100. https://doi.org/10.1038/s43586-022-00184-w DOI: https://doi.org/10.1038/s43586-022-00184-w

Guler, B. A., & Imamoglu, E. (2023). Molecular marker technologies in food plant genetic diversity studies: an overview. Foods and Raw Materials, 11(2), 282-292. https://doi.org/10.21603/2308-4057-2023-2-575 DOI: https://doi.org/10.21603/2308-4057-2023-2-575

Kumar, S., & Pandey, G. (2020). Biofortification of pulses and legumes to enhance nutrition. Heliyon, 6(3), Article e03682. https://doi.org/10.1016/j.heliyon.2020.e03682 DOI: https://doi.org/10.1016/j.heliyon.2020.e03682

Kumawat, G., Singh, G., Gireesh, C., Shivakumar, M., Arya, M., Agarwal, D. K., & Husain, S. M. (2015). Molecular characterization and genetic diversity analysis of soybean (Glycine max (L.) Merr.) germplasm accessions in India. Physiology and Molecular Biology of Plants, 21, 101-107. https://doi.org/10.1007/s12298-014-0266-y DOI: https://doi.org/10.1007/s12298-014-0266-y

Lazer, I. J., & Horvath-Lazar, E. (2010). GelAnalyzer 2010a. [Software]. GelAnalyzer. http://www.gelanalyzer.com/index.html

Li, Y., & Qi, B. (2022). Phytochemicals in soybeans: Bioactivity and health benefits. CRC Press. https://doi.org/10.1201/9781003030294 DOI: https://doi.org/10.1201/9781003030294

Liu, K., & Muse, S. V. (2005). PowerMarker: Integrated analysis environment for genetic marker data. Bioinformatics, 21, 2128-2129. http://dx.doi.org/10.1093/bioinformatics/bti282 DOI: https://doi.org/10.1093/bioinformatics/bti282

Malek, M. A., Rafii, M. Y., Afroz, S. S. M., Nath, U. K., & Mondal, M. M. A. (2014). Morphological characterization and assessment of genetic variability, character association, and divergence in soybean mutants. The Scientific World Journal, 2014(1), Article 968796. https://doi.org/10.1155/2014/968796 DOI: https://doi.org/10.1155/2014/968796

Meena, V. K., Shekhawat, H. V. S., Chand, S., Choudhary, K., Sharma, J. K., & Lekha, L. (2023). Advances in molecular marker technology and their significance in plant improvement strategies. In M. A. El-Esawi (Ed.), Recent trends in plant breeding and genetic improvement (pp. 1–29). IntechOpen. http://dx.doi.org/10.5772/intechopen.1002773 DOI: https://doi.org/10.5772/intechopen.1002773

Nugroho, K., Kosmiatin, M., Husni, A., Tasma, I. M., & Lestari, P. (2020). Identification of soybean (Glycine max [L.] Merr.) mutants and improved varieties having diverse drought tolerance character using SSR marker. IOP Conference Series: Earth and Environmental Science, 482, Article 012014. https://doi.org/10.1088/1755-1315/482/1/012014 DOI: https://doi.org/10.1088/1755-1315/482/1/012014

Nugroho, K., Terryana, R. T., Manzila, I., Priyatno, T. P., & Lestari, P. (2019). The use of molecular markers to analyze the genetic diversity of Indonesian pepper (Capsicum spp.) varieties based on anthracnose resistance. Makara Journal of Science, 23(3), 137-147. https://doi.org/10.7454/mss.v23i3.11261 DOI: https://doi.org/10.7454/mss.v23i3.11261

Nurdianawati, S., Wicaksana, N., & Anas, A. (2016). Analisis Kesesuaian marka SSR (Simple Sequence Repeats) untuk identifikasi keragaman genetik pada kacang bambara asal Jawa Barat. Agrikultura, 27(2), 120-123. DOI: https://doi.org/10.24198/agrikultura.v27i2.10528

Pasaribu, A., Putri L. A. P., & Suryanto. (2017). First analysis of molecular varians in palm oil (Elaeis guineensis Jacq.) used five primer of SSR (Simple Sequences Repeats). Jurnal Online Pertanian Tropik, 4(1), 47-56. DOI: https://doi.org/10.32734/jpt.v4i1.3069

Rani, R., Raza, G., Tung, M. H., Rizwan, M., Ashfaq, H., Shimelis, H., Razzaq, M. K. & Arif, M. (2023). Genetic diversity and population structure analysis in cultivated soybean (Glycine max [L.] Merr.) using SSR and EST-SSR markers. PLoS One, 18(5), Article e0286099. https://doi.org/10.1371/journal.pone.0286099 DOI: https://doi.org/10.1371/journal.pone.0286099

Rohlf, F. J. (2000). NTSYS-pc: numerical taxonomy and multivariate analysis system (Version 2.2). Applied Biostatistics Inc.

Shrestha, P., Pandey, M. P., Dhakal, K. H., Ghimire, S. K., Thapa, S. B., & Kandel, B. P. (2023). Morphological characterization and evaluation of soybean genotypes under rainfed ecosystem of Nepal. Journal of Agriculture and Food Research, 11, Article 100526. https://doi.org/10.1016/j.jafr.2023.100526 DOI: https://doi.org/10.1016/j.jafr.2023.100526

Singh, P. K., Shrestha, J., & Kushwaha, U. K. S. (2020). Multivariate analysis of soybean genotypes. Journal of Agriculture and Natural Resources, 3(1), 69-76. https://doi.org/10.3126/janr.v3i1.27092 DOI: https://doi.org/10.3126/janr.v3i1.27092

Tasma, I. M., Dyah, R. P., Terryana, R. T., Satyawan, D., Nugroho, K., & Asadi, A. (2024). DNA fingerprinting analysis of edamame advanced lines based on SSR markers. AIP Conference Proceedings, 2957(1), Article 080005. https://doi.org/10.1063/5.0184004 DOI: https://doi.org/10.1063/5.0184004

Tasma, I. M., Lorenzen, L. L., Green, D. E., & Shoemaker, R. C. (2001). Mapping genetic loci for flowering time, maturity, and photoperiod insensitivity in soybean. Molecular Breeding, 8, 25–35. https://doi.org/10.1023/A:1011998116037 DOI: https://doi.org/10.1023/A:1011998116037

Tasma, I. M., & Shoemaker, R. C. (2003). Mapping flowering time gene homologs in soybean and their association with maturity (E) loci. Crop Science, 43(1), 319–328. https://doi.org/10.2135/cropsci2003.3190 DOI: https://doi.org/10.2135/cropsci2003.3190

Tasma, I. M., Yani, N. M. G., Purwaningdyah, R., Satyawan, D., Nugroho, K., Lestari, P., Trijatmiko, K. R., & Mastur, M. (2018). Genetic diversity analysis and F2 population development for breeding of long juvenile trait in soybean. Jurnal AgroBiogen, 14(1), 11-22. DOI: https://doi.org/10.21082/jbio.v14n1.2018.p11-22

Terryana, R. T., Nugroho, K., Rijzaani, H., & Lestari, P. (2018). Karakterisasi keragaman genetik 27 genotipe cabai berdasarkan marka SSR (Simple Sequence Repeat). Berita Biologi, 17(2), 183-194. DOI: https://doi.org/10.14203/beritabiologi.v17i2.3313

Union for the Protection of New Varieties of Plants (UPOV). (1998). Guidelines for the conduct of tests for distinctness, homogeneity and stability (Soybean).

United States Department of Agriculture. (2006). Mapped soybean SSR loci. https://sgil.ba.ars.usda.gov/cregan/soymap3.mht

Upadhyay, P., Shrivastava, M. K., Amrate, P. K., Sharma, S., Thakur, S., & Anand, K. J. (2022). Assessing genetic diversity of exotic lines of soybean based on D2 and principal component analysis. The Pharma Innovation Journal, 11(5), 89–93.

Wibisono, K., Dyah, R. P., Utari, R., Rijzaani, H., Hakim, L., Suhendar, A., Purwanto, O. D., Satyawan, D., Lestari, P. & Tasma, I. M. (2025). Genetic Diversity and DNA Barcoding Construction of Tropical Soybean Advanced Lines Based on SSR Markers. Indonesian Journal of Agricultural Sciences, 30(2), 293−304. https://doi.org/10.18343/jipi.30.2.293 DOI: https://doi.org/10.18343/jipi.30.2.293

Zatybekov, A., Yermagambetova, M., Genievskaya, Y., Didorenko, S., & Abugalieva, S. (2023). Genetic diversity analysis of soybean collection using simple sequence repeat markers. Plants, 12(19), Article 3445. https://doi.org/10.3390/plants12193445 DOI: https://doi.org/10.3390/plants12193445

Downloads

Published

05-06-2026

Issue

Section

Articles

Categories

How to Cite

Tasma, I. M., Dyah, R. P., Wibisono, K., Rijzaani, H., & Suhendar, M. A. (2026). Genetic diversity analysis of Indonesian soybean genotypes based on morphological characteristics and SSR markers. Agronomía Mesoamericana, 6xn1r608. https://doi.org/10.15517/6xn1r608

Most read articles by the same author(s)

Similar Articles

1-10 of 35

You may also start an advanced similarity search for this article.