Phenotypic Evaluation of Fe and Zn Content and Agronomic Traits in Sorghum Segregating Population
DOI:
https://doi.org/10.29244/jtcs.13.02.382-394Keywords:
augmented, biofortification, genetic diversity, MGIDI, micronutrient, SSDAbstract
Biofortification is one approach to overcoming micronutrient deficiencies by enhancing the nutritional content of food crops. Biofortification of sorghum’s iron (Fe) and zinc (Zn) content is essential to increase sorghum’s value as an alternative carbohydrate source. This research aimed to study phenotypic variation in Fe and Zn content and its correlation with agronomic traits and yields in the F3 population generated from a cross between the ‘Demak 4’ and ‘Soper 6 Agritan’ developed using the Single Seed Descent (SSD) method. This research was conducted at the Muara Experimental Field in Bogor, from May to August 2024. The experiment used an augmented design with four replications based on an individual-based segregated design. Fe and Zn content in sorghum grain samples was measured using an X-ray fluorescence machine. The results showed that the Fe content in sorghum grain within the F3 population ranged from 11.70-21.80 ppm, and Zn content ranged from 16.70-26.25 ppm. The correlation analysis showed that Fe content was not related to agronomic traits or yield. Zn showed a significant positive correlation with flag leaf area (r = 0.30, p < 0.01) and stem diameter (r = 0.24, p < 0.05). Fe and Zn content of sorghum grain was observed to be positively correlated (r = 0.68, p < 0.001). The results of multi-character identification using MGIDI yielded 10 selected genotypes: G1, G2, G6, G18, G20, G63, G82, G108, G122, and G181. Genotypes G1, G2, G181, and G122 are suitable for high yield.
References
Abdelhaleim, A. F., Soliman, J. S. A., & Amer, A. Y. (2019). Association of zinc deficiency with iron deficiency anemia and its symptoms: Results from a case-control study. Cureus, 11(1), Article e3811. https://doi.org/10.7759/cureus.3811
Aisyah, I. S., Khomsan, A., Tanziha, I., & Riyadi, H. (2024). Modeling hidden hunger in toddlers to determine the most influential micronutrients in stunting. Nutrición Clínica y Dietética Hospitalaria, 44, 235 243. https://doi.org/10.12873/443khomsan
Andiku, C., Shimelis, H., Shayanowako, A., Gangashetty, P., & Manyasa, E. (2022). Genetic diversity analysis of East African sorghum (Sorghum bicolor [L.] Moench) germplasm collections for agronomic and nutritional quality traits. Heliyon, 8(8), Article e09690. https://doi.org/10.1016/j.heliyon.2022.e09690
Aravind, J., Mukesh Sankar, S., Wankhede, D. P., & Kaur, V. (2023). Augmented-RCBD: Analysis of augmented randomized complete block designs (Version 0.1.7) [R package]. https://CRAN.R-project.org/package=augmentedRCBD
Camaschella, C. (2019). Iron deficiency. Blood, 133(1), 30–39. https://doi.org/10.1182/blood-2018-05-815944
Chacko, A., Jayalekshmy, V. G., & Shahiba, A. M. (2023). Studies on PCV, GCV, heritability, and genetic advance in rice genotypes for yield and yield components. International Journal of Plant & Soil Science, 35(16), 324–330. https://doi.org/10.9734/ijpss/2023/v35i1630846
Chasapis, C. T., Ntoupa, P. S. A., Spiliopoulou, C. A., & Stefanidou, M. E. (2020). Recent aspects of the effects of zinc on human health. Archives of Toxicology, 94(5), 1443–1460. https://doi.org/10.1007/s00204-020-02702-9
Costa, M. I., Sarmento-Ribeiro, A. B., & Gonçalves, A. C. (2023). Zinc: From biological functions to therapeutic potential. International Journal of Molecular Sciences, 24(5), Article 4822. https://doi.org/10.3390/ijms24054822
Dare, D., Trikoesoemaningtyas, Wirnas, D., & Soepandi, D. (2024). Genetic variability and multi-trait selection of biomass and stalk juice for bioenergy in sorghum segregating populations. Biodiversitas Journal of Biological Diversity, 25(11), 4425–4437. https://doi.org/10.13057/biodiv/d251142
Debnath, P., Chakma, K., Bhuiyan, M., Thapa, R., Pan, R., & Akhter, D. (2024). A novel multi trait genotype ideotype distance index (MGIDI) for genotype selection in plant breeding: Application, prospects, and limitations. Crop Design, 3(4), Article 100074. https://doi.org/10.1016/j.cropd.2024.100074
Deshpande, P., Dapkekar, A., Oak, M., Paknikar, K., & Rajwade, J. (2018). Nanocarrier mediated foliar zinc fertilization influences expression of metal homeostasis related genes in flag leaves and enhances gluten content in durum wheat. PLoS ONE, 13(1), Article e0191035. https://doi.org/10.1371/journal.pone.0191035
Djanaguiraman, M., Vimala, K., Sofi, P., Perumal, R., & Prasad, P. V. V. (2024). Genetic variation for grain iron and zinc concentration in the US sorghum [Sorghum bicolor (L.) Moench] association panel. Crop Science, 64(5), 2652 2665. https://doi.org/10.1002/csc2.21299
Ernawati, F., Efriwati, Nurjanah, N., Aji, G. K., Tjandrarini, D. H., Widodo, Y., Retiaty, F., Prihatini, M., Arifin, A. Y., Sundari, D., Rachmalina, R., Salimar, Julianti, E. D. A., Aidi, M. N., & Syauqy, A. (2023). Micronutrients and nutrition status of school-aged children in Indonesia. Journal of Nutrition 2023, Article and Metabolism, 4610038. https://doi.org/10.1155/2023/4610038
Gaddameedi, A., Phuke, R. M., Polavarapu, K. K. B., Gorthy, S., Subhasini, V., Jagannathan, J., & Are, A. K. (2020). Heterosis and combining ability for grain Fe and Zn concentration and agronomic traits in sorghum [Sorghum bicolor (L.) Moench]. Journal of King Saud University - Science, 32(8), 2989–2994. https://doi.org/10.1016/j.jksus.2020.08.003
Gaddameedi, A., Sheraz, S., Kumar, A., Li, K., Pellny, T., Gupta, R., Wan, Y., Moore, K. L., & Shewry, P. R. (2022). The location of iron and zinc in the grain of conventional and biofortified lines of sorghum. Journal of Cereal Science, 107, Article 103531. https://doi.org/10.1016/j.jcs.2022.103531
Gajghate, R., Tyagi, V. C., Rana, M., & Bhardwaj, N. R. (2018). SSD method, single seed descent (SSD) method. Plant Breeding, 14, 25–27.
Gebre, W., Mekbib, F., Tirfessa, A., & Bekele, A. (2024). Genetic variability among lowland sorghum accessions collected from southern Ethiopia for grain quality traits. Heliyon, 10(4), Article e25323. https://doi.org/10.1016/j.heliyon.2024.e25323
Ghinea, I. O., Mihaila, M. D. I., Blaga, G.-V., Avramescu, S. M., Cudalbeanu, M., Isticioaia, S.-F., Dinica, R. M., & Furdui, B. (2021). HPLC-DAD polyphenolic profiling and antioxidant activities of Sorghum bicolor during germination. Agronomy, 11(3), Article 417. https://doi.org/10.3390/agronomy11030417
Gonçalves, E., Carrasquinho, I., St. Aubyn, A., & Martins, A. (2013). Broad-sense heritability in mixed models for grapevine initial selection trials. Euphytica, 189(3), 379–391. https://doi.org/10.1007/s10681-012-0787-9
Hariprasanna, K., Agte, V., Elangovan, M., & Patil, J. V. (2014). Genetic variability for grain iron and zinc content in cultivars, breeding lines and selected germplasm accessions of sorghum [Sorghum bicolor (L.) Moench]. Indian Journal of Genetics and Plant Breeding, 74(1), 42–49. https://doi.org/10.5958/0975-6906.2014.00903.1
Ibrahim, S., Saleem, B., Naeem, M., Arain, S., & Khan, M. (2021). Next-generation technologies for iron and zinc biofortification and bioavailability in cereal grains. Crop and Pasture Science, 73(2), 77–92. https://doi.org/10.1071/CP20498
Jambormias, E., & Riry, J. (2009). Penyuaian data dan penggunaan informasi kekerabatan untuk mendeteksi segregan transgresif sifat kuantitatif pada tanaman menyerbuk sendiri (suatu pendekatan dalam seleksi). Jurnal Budidaya Pertanian, 5(1), 11–18.
Kotla, A., Phuke, R., Hariprasanna, K., Mehtre, S., Rathore, A., Gorthy, S., Srivastava, R., Das, R., Prakash, A., Radhika, K., Hash, C., Reddy, B., Patil, J., Jabeen, F., Shashikanth, D., Jaganathan, J., Gaddameedi, A., Subhasini, V., Deshpande, S., & Kumar, A. A. (2020). Identification of QTLs and candidate genes for high grain Fe and Zn concentration in sorghum [Sorghum bicolor (L.) Moench]. Journal of Cereal Science, 90, Article 102850. https://doi.org/10.1016/j.jcs.2019.102850
Madhusudhana, R., Hariprasanna, K., Aruna, C., Sajjanar, G., Hanamaratti, N., Sameera, S., & Tonapi, V. A. (2023). Genetic variability, G × E interaction and stability for iron and zinc content in sorghum grains in advanced breeding lines. Journal of Cereal Science, 110, Article 103653. https://doi.org/10.1016/j.jcs.2023.103653
Magar, B. T., Acharya, S., Gyawali, B., Timilsena, K., Upadhaya, J., & Shrestha, J. (2021). Genetic variability and trait association in maize (Zea mays L.) varieties for growth and yield traits. Heliyon, 7(9), Article e07939. https://doi.org/10.1016/j.heliyon.2021.e07939
Maryono, M. Y., Trikoesoemaningtyas, Wirnas, D., & Human, S. (2019). Genetic analysis and transgressive segregant selection of F2 sorghum population derived from B69 × ‘Numbu’ and B69 × ‘Kawali’ crosses. Jurnal Agronomi Indonesia, 47(2), 163–170. https://doi.org/10.24831/jai.v47i2.24991
Motlhaodi, T., Bryngelsson, T., Chite, S., Fatih, M., Ortiz, R., & Geleta, M. (2018). Nutritional variation in sorghum [Sorghum bicolor (L.) Moench] accessions from southern Africa revealed by protein and mineral composition. Journal of Cereal Science, 83, 123–129. https://doi.org/10.1016/j.jcs.2018.08.010
Muniz, F., Souza, J., Moitinho, A., Torneli, I., Unêda-Trevisoli, S., Pfeiffer, T., & Di Mauro, A. (2025). Genetic variability in soybean with resistance to cyst nematode and powdery mildew: Impact of multi-parent crosses on recombination and genetic diversity. Brazilian Journal of Biology, 85, Article e290697. https://doi.org/10.1590/1519-6984.290697
Ng’uni, D., Shargie, N., Andersson, S., Biljon, A. v., & Labuschagne, M. (2016). Genetic variation and trait associations of yield, protein, and grain micronutrients for identification of promising sorghum varieties. Cereal Research Communications, 44(4), 681–693. https://doi.org/10.1556/0806.44.2016.033
Olivoto, T., & Lúcio, A. D. C. (2020). metan: An R package for multi-environment trial analysis. Methods in Ecology and Evolution, 11(6), 783–789. https://doi.org/10.1111/2041-210X.13384
Olivoto, T., & Nardino, M. (2021). MGIDI: Toward an effective multivariate selection in biological experiments. Bioinformatics, 37(10), 1383–1389. https://doi.org/10.1093/bioinformatics/btaa981
Phuke, R., Anuradha, K., Radhika, K., Jabeen, F., Anuradha, G., Ramesh, T., Hariprasanna, K., Mehtre, S., Deshpande, S., Anil, G., Das, R., Rathore, A., Hash, T., Reddy, B., & Kumar, A. (2017). Genetic variability, genotype × environment interaction, correlation, and GGE biplot analysis for grain iron and zinc concentration and other agronomic traits in RIL population of sorghum (Sorghum bicolor L. Moench). Frontiers in Plant Science, 8, Article 712. https://doi.org/10.3389/fpls.2017.00712
R Core Team. (2024). R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/
Rini, E. P., Marwiyah, S., Wirnas, D., & Trikoesoemaningtyas. (2022). Genetic analysis in an F2 population derived from Indonesian local sorghum with new superior variety. Jurnal Agronomi Indonesia, 50(3), 275–282. https://doi.org/10.24831/jai.v50i3.44699
Rohaeni, W. R., Supriadi, E., Susanto, U., & Rosahdi, T. D. (2016). Kandungan Fe dan Zn pada beras pecah kulit dan beras sosoh dari galur-galur padi toleran wereng batang cokelat. Jurnal Ilmu Pertanian Indonesia, 21(3), 172–176. https://doi.org/10.18343/jipi.21.3.172
Rohaeni, W. R., Suwarno, W. B., Susanto, U., Trikoesoemaningtyas, Ghulamahdi, M., & Aswidinnoor, H. (2023). Genetic diversity, heritability, and accumulation patterns of Zn content in biofortified rice. Biodiversitas Journal of Biological Diversity, 24(1), 208–214. https://doi.org/10.13057/biodiv/d240125
Santhiya, V., Selvi, B., Kavithamani, D., & Senthil, A. (2021). Genetic variability and character association among grain yield and their component traits in sorghum [Sorghum bicolor L. Moench]. Electronic Journal of Plant Breeding, 12(3), 788–793.
Satyavathi, C. T., Tomar, R. S., Ambawat, S., Kheni, J., Padhiyar, S. M., Desai, H., Bhatt, S. B., Shitap, M. S., Meena, R. C., Singhal, T., Sankar, S. M., Singh, S. P., & Khandelwal, V. (2022). Stage specific comparative transcriptomic analysis to reveal gene networks regulating iron and zinc content in pearl millet [Pennisetum glaucum (L.) R. Br.]. Scientific Reports, 12(1), Article 276. https://doi.org/10.1038/s41598-021-04388-0
Shreya, Ainmisha, & Vasanthi, R. P. (2017). Transgressive segregation in study F3 population of four groundnut crosses. International Journal of Current Microbiology and Applied Sciences, 6(4), 2054–2059. https://doi.org/10.20546/ijcmas.2017.604.243
Sivasubramanian, J., & Madhavamenon, P. (1973). Genotypic and phenotypic variability in rice. Madras Agricultural Journal, 12, 15–16.
Somu, G., Meena, N., & Badigannavar, A. (2024). Exploring genetic variability for morphological and yield contributing traits in sorghum (Sorghum bicolor (L.) Moench) germplasm from Southern India. Genetic Resources and Crop Evolution, 72(5), 5179–5194. https://doi.org/10.1007/s10722-024-02251-5
Stanfield, W. D. (1983). Theory and problems of genetics (2nd ed.). Kalyani Publishers.
Susanto, U., Barokah, U., Hidayatullah, A., Satoto, S., & Swamy, M. (2017). Yield and Zn content of biofortified rice genotypes in an Indonesian rice agro ecosystem. Nusantara Bioscience, 9(3), 288–294. https://doi.org/10.13057/nusbiosci/n090308
Tanwar, R., Panghal, A., Chaudary, G., Kumari, A., & Chhikara, N. (2023). Nutritional, phytochemical and functional potential of sorghum: A review. Food Chemistry Advances, 3, Article 100501. https://doi.org/10.1016/j.focha.2023.100501
Thakur, N. R., Gorthy, S., Vemula, A., Odeny, D. A., Ruperao, P., Sargar, P. R., Mehtre, S. P., Kalpande, H. V., & Habyarimana, E. (2024). Genome-wide association study and expression of candidate genes for Fe and Zn concentration in sorghum grains. Scientific Reports, 14(1), Article 12729. https://doi.org/10.1038/s41598-024-63308-0
Tu, M., Du, C., Yu, B., Wang, G., Deng, Y., Wang, Y., Chen, M., Chang, J., Yang, G., He, G., Xiong, Z., & Li, Y. (2023). Current advances in the molecular regulation of abiotic stress tolerance in sorghum via transcriptomic, proteomic, and metabolomic approaches. Frontiers in Plant Science, 14, Article 1147328. https://doi.org/10.3389/fpls.2023.1147328
UNICEF. (2022). Nutrition: Tackling the ‘triple burden’ of malnutrition in Indonesia. https://www.unicef.org/indonesia/nutrition
Upadhyaya, H. D., Dwivedi, S. L., Singh, S. K., Sahrawat, K. L., & Singh, S. (2016). Genetic variation and postflowering drought effects on seed iron and zinc in ICRISAT sorghum mini core collection. Crop Science, 56(1), 374–383. https://doi.org/10.2135/cropsci2015.05.0308
Wang, X., Mace, E., Tao, Y., Cruickshank, A., Hunt, C., Hammer, G., & Jordan, D. (2020). Large-scale genome-wide association study reveals that drought-induced lodging in grain sorghum is associated with plant height and traits linked to carbon remobilisation. Theoretical and Applied Genetics, 133(11), 3201–3215. https://doi.org/10.1007/s00122-020-03665-2
Waters, B. M., Uauy, C., Dubcovsky, J., & Grusak, M. A. (2009). Wheat (Triticum aestivum) NAM proteins regulate the translocation of iron, zinc, and nitrogen compounds from vegetative tissues to grain. Journal of Experimental Botany, 60(15), 4263 4274. https://doi.org/10.1093/jxb/erp257
Weffort, V. R. S., & Lamounier, J. A. (2024). Hidden hunger - A narrative review. Jornal de Pediatria, 100 (Suppl. 1), S10–S17. https://doi.org/10.1016/j.jped.2023.09.005
Wirnas, D., Oktanti, N., Rahmi, H. N., Andriani, D., Faturrahman, Rini, E. P., Marwiyah, S., Trikoesoemaningtyas, & Sopandie, D. (2021). Genetic analysis for designing an ideotype of high-yielding sorghum based on existing lines performance. Biodiversitas Journal of Biological Diversity, 22(12), 5286–5292. https://doi.org/10.13057/biodiv/d221208
World Health Organization. (2023). Micronutrients. https://www.paho.org/en/topics/micronutrients
Xie, Q., & Xu, Z. (2019). Sustainable agriculture: From sweet sorghum planting and ensiling to ruminant feeding. Molecular Plant, 12(5), 603–606. https://doi.org/10.1016/j.molp.2019.04.001
You, F. M., Song, Q., Jia, G., Cheng, Y., Duguid, S., Booker, H., & Cloutier, S. (2016). Estimation of genetic parameters and their sampling variances for quantitative traits in the type 2 modified augmented design. The Crop Journal, 4(2), 107–118. https://doi.org/10.1016/j.cj.2016.01.003
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