Study of Genetic Variability, Proximate Analysis and DNA Yield in Diverse Tomato Genotypes, Lycopersicon Esculentum (Mill.)

Adewusi; O F

doi:10.56201/jbgr.vol.11.no2.2025.pg74.85

📄 Download Paper

Study of Genetic Variability, Proximate Analysis and DNA Yield in Diverse Tomato Genotypes, Lycopersicon Esculentum (Mill.)

Adewusi, O F

Abstract

This study was conducted on the “Study of genetic variability, proximate analysis and DNA yield in Tomato, Lycopersicon esculentum (Mill.) Genotypes”. The study aimed to determine the to determine the extent of variation, nutritional composition and DNA sample yield among the tomato genotypes with a view of identifying and selecting promising tomato genotypes that could be utilized for further tomato breeding program. The twelve-tomato genotypes utilized for this study were obtained from Tomato germplasm collection of National Center for Genetic Resources and Biotechnology (NACGRAB), Department of Plant Genetic resources, Ibadan, Oyo-State, Nigeria. The experiment was carried out at the Teaching and Research Farm, Federal University of Technology, Akure. The field experiment was laid out in a randomized Complete Block Design (RCBD), with two replications. Data were collected on 10 agronomic characters. The DNA extraction was carried out using Sodium dodecyl sulfate (SDS) and Zymo Kit protocols. The statistical analysis was carried out using SAS version 9.2. The concentration and yield of the DNA samples were determined using spectrophotometric approach. The analysis of variance revealed that the tomato genotypes were significantly different for all the characters except Plant height at flowering. The phenotypic coefficient of variation estimates were generally higher than the genotypic coefficient of variation estimate being maximum in total yield per plant (46.869% and 42.569%) for phenotypic coefficient of variation and genotypic coefficient of variation respectively. The heritability estimates were generally high for all the characters being maximum in Days to flowering (97.544%). The genetic advance estimates were generally high for all the characters studied. The high heritability coupled with high genetic advance estimates for days to flowering, days to maturity, plant height at maturity, number of fruits, number of clus

Keywords

Genetic VariabilityProximate AnalysisDna YieldDiverseTomato Genotypes

References

Aborisade, A. B., Adetutu, A. and Owoade, A. O. (2017). Phytochemical and proximate analysis of some medicinal leaves. Clinical Medicine Research, 6(6), 209-214. Abu- Haraira, A., Ahmad, A., Khalid, M. N., Tariq, M., Nazir, S. and Habib, I. (2022). Enhancing health benefits of tomato by increasing its antioxidant contents through different techniques: A review. Advancements in Life Sciences, 9(2), 131-142. Amiteye, S. (2021). Basic concepts and methodologies of DNA marker systems in plant molecular breeding. Heliyon, 7(10). Bhat, A., Alwutayd, K. M., Mahajan, R., Chung, Y. S., Mansoor, S. and Sun, H.-J. (2023). Genetic and phenotypic diversity in Solanum lycopersicum genotypes using morphological and biochemical markers. Journal of Plant Biochemistry and Biotechnology, 32, 283–295. https://doi.org/10.1007/s13562-023-00750-1 Butz, H. and Patócs, A. (2019). Brief summary of the most important molecular genetic methods (PCR, qPCR, microarray, next-generation sequencing, etc.). Genetics of Endocrine diseases and syndromes, 33-52. Dawid, J. (2016). The role of tomato products for human health (Solanum lycopersicum)-A review. Journal of Health, Medicine and Nursing, 33, 66-74. Dubey, S. M., Yadav, S. K.. and Yadav, M. K. (2017). Comparative study of high quality genomic DNA extraction protocols for rice and tomato crops. International Journal of Current Microbiology and Applied Sciences, 6(11), 2685-2693. Duke, J. A. (2018). Handbook of proximate analysis tables of higher plants. CRC press. El-Mansy, A. B., Abd El-Moneim, D., ALshamrani, S. M., Safhi, F. A., Abdein, M. A. and Ibrahim, A. A. (2021). Genetic diversity analysis of tomato (Solanum lycopersicum L.) with morphological, cytological, and molecular markers under heat stress. Horticulturae, 7(4), 65. Jacquot, S., Chartoire, N., Piguet, F., Hérault, Y. and Pavlovic, G. (2019). Optimizing PCR for mouse genotyping: recommendations for reliable, rapid, cost effective, robust and adaptable to high?throughput genotyping protocol for any type of mutation. Current Protocols in Mouse Biology, 9(4), e65. Jia, Z., Zhou, J., Yang, M., Wang, M., Li, L. and Fan, X. (2023). Preparation and evaluation of certified reference materials for crude protein, crude fat, and crude ash in feed. Microchemical Journal, 191, 108854. Kulus, D. (2022). Genetic diversity for breeding tomato. Cash Crops: Genetic Diversity, Erosion, Conservation and Utilization, 505-521. Kumar, A., Kumar, V., Gull, A. and Nayik, G. A. (2020). Tomato (Solanum Lycopersicon). Antioxidants in vegetables and nuts-Properties and health benefits, 191-207. Kumar, R. and Singh, M. (2020). Genetic variability, heritability, and genetic advance in tomato (Solanum lycopersicum L.). Journal of Pharmacognosy and Phytochemistry, 9(3), 350– https://www.phytojournal.com/archives/2020/vol9issue3/PartAJ/9-3-350-270.pdf Lucena-Aguilar, G., Sánchez-López, A. M., Barberán-Aceituno, C., Carrillo-Avila, J. A., López- Guerrero, J. A. and Aguilar-Quesada, R. (2016). DNA source selection for downstream applications based on DNA quality indicators analysis. Biopreservation and biobanking, 14(4), 264-270. Matsheta, M. M. and Mavumengwana, V. (2016). The levels of yield and purity of genomic DNA from five tomato (Solanum lycopersicum) cultivars using Dellaporta et al. (1983) method and ZR Plant/Seed DNA MiniPrep Kit. African Journal of Biotechnology, 15(36), 1964- Mattila, P., Mäkinen, S., Eurola, M., Jalava, T., Pihlava, J. M., Hellström, J. and Pihlanto, A. (2018). Nutritional value of commercial protein-rich plant products. Plant foods for human nutrition, 73(2), 108-115. Mohammed, A. and Getahun, D. (2025). Evaluation of morpho-agronomic and fruit quality traits in tomato (Solanum lycopersicum L.) genotypes. International Journal of Scientific and Research Publications, 15(1), 702. http://dx.doi.org/10.29322/IJSRP.15.01.2025.p15702 Motsara, M. R. and Roy, R. N. (2008). Guide to laboratory establishment for plant nutrient analysis (Vol. 19, pp. 101-122). Rome: Food and Agriculture Organization of the United Nations. Parimelazhagan, T. and Thangaraj, P. (2016). Proximate composition analysis. Pharmacological assays of plant-based natural products, 21-31. Racero-Galaraga, D., Rhenals-Julio, J. D., German, S. S., Mendoza, J. M. and Silvera, A. B. (2024). Proximate analysis in biomass: Standards, applications and key characteristics. Results in Chemistry, 101886. Rawat, S. (2015). Food Spoilage: Microorganisms and their prevention. Asian journal of plant science and Research, 5(4), 47-56. Razzaq, K.. and Khan, S. H. (2022). Tomato: Genetics, genomics, and breeding of health-related traits. In K. Razzaq & S. H. Khan (Eds.), Vegetable Crops: Genetics, Genomics, Breeding, and Production (pp. 49-72). Springer. Swarup, S., Cargill, E. J., Crosby, K., Flagel, L., Kniskern, J. and Glenn, K. C. (2021). Genetic diversity is indispensable for plant breeding to improve crops. Crop Science, 61(2), 839- Wahyudi, A., Hakim, N. A. and Rachman, M. S. (2024). Characteristics of six cherry tomato genotypes as genetic material for plant breeding programs. Biodiversitas Journal of Biological Diversity, 25, 3850-3859.

Study of Genetic Variability, Proximate Analysis and DNA Yield in Diverse Tomato Genotypes, Lycopersicon Esculentum (Mill.)

Abstract

Keywords

References

More Articles from JOURNAL OF BIOLOGY AND GENETIC RESEARCH