Tree Genetics and Molecular Breeding 2025, Vol.15, No.2, 80-88 http://genbreedpublisher.com/index.php/tgmb 88 Usha T., Middha S., Babu D., Goyal A., Das A., Saini D., Sarangi A., Krishnamurthy V., Prasannakumar M., Saini D., and Sidhalinghamurthy K., 2022, Hybrid assembly and annotation of the genome of the Indian Punica granatum, a superfood, Frontiers in Genetics, 13: 786825. https://doi.org/10.3389/fgene.2022.786825 Wang Z., Huai D., Zhang Z., Cheng K., Kang Y., Wan L., Yan L., Jiang H., Lei Y., and Liao B., 2018, Development of a high-density genetic map based on specific length amplified fragment sequencing and its application in quantitative trait loci analysis for yield-related traits in cultivated peanut, Frontiers in Plant Science, 9: 827. https://doi.org/10.3389/fpls.2018.00827 Yan M., Zhao X., Zhou J., Huo Y., Ding Y., and Yuan Z., 2019, The complete chloroplast genomes of Punica granatum and a comparison with other species in Lythraceae, International Journal of Molecular Sciences, 20(12): 2886. https://doi.org/10.3390/ijms20122886 Youssef M., Alhammadi A., Ramírez-Prado J., Sánchez-Teyer L., and Escobedo-GraciaMedrano R., 2018, Remarks on genetic diversity and relationship of Punica protopunica and P. granatum assessed by molecular analyses, Genetic Resources and Crop Evolution, 65: 577-590. https://doi.org/10.1007/s10722-017-0556-7 Zarei A., and Sahraroo A., 2018, Molecular characterization of pomegranate (Punica granatum L.) accessions from Fars Province of Iran using microsatellite markers, Horticulture, Environment, and Biotechnology, 59: 239-249. https://doi.org/10.1007/s13580-018-0019-x Zhao Y., and Su C., 2019, Mapping quantitative trait loci for yield-related traits and predicting candidate genes for grain weight in maize, Scientific Reports, 9: 16112. https://doi.org/10.1038/s41598-019-52222-5
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