TGG_2024v15n2

Triticeae Genomics and Genetics, 2024, Vol.15, No.2, 88-99 http://cropscipublisher.com/index.php/lgg 99 Mazumder A., Rohilla M., Bisht D., Krishnamurthy S., Barman M., Sarma R., Sharma T., and Mondal T., 2020, Identification and mapping of quantitative trait loci (QTL) and epistatic QTL for salinity tolerance at seedling stage in traditional aromatic short grain rice landrace Kolajoha (Oryza sativa L.) of Assam, India, Euphytica, 216: 75. https://doi.org/10.1007/s10681-020-02602-0 Pang Y., Liu C., Wang D., Amand P., Bernardo A., Li W., He F., Li L., Wang L., Yuan X., Dong L., Su Y., Zhang H., Zhao M., Liang Y., Jia H., Shen X., Lu Y., Jiang H., Wu Y., Li A., Wang H., Kong L., Bai G., and Liu S., 2020, High-resolution genome-wide association study identifies genomic regions and candidate genes for important agronomic traits in wheat, Molecular plant, 13(9): 1311-1327. https://doi.org/10.1016/j.molp.2020.07.008 PMid:32702458 Ren T., Fan T., Chen S., Li C., Chen Y., Ou X., Jiang Q., Ren Z., Tan F., Luo P., Chen C., and Li Z., 2021, Utilization of a Wheat55K SNP array-derived high-density genetic map for high-resolution mapping of quantitative trait loci for important kernel-related traits in common wheat, Theoretical and Applied Genetics, 134: 807-821. https://doi.org/10.1007/s00122-020-03732-8 PMid:33388883 Selamat N., and Nadarajah K., 2021, Meta-analysis of quantitative traits loci (QTL) identified in drought response in rice (Oryza sativa L.), Plants, 10(4): 716 https://doi.org/10.3390/plants10040716 PMid:33917162 PMCid:PMC8067883 Shariatipour N., Heidari B., Tahmasebi A., and Richards C., 2021, Comparative genomic analysis of quantitative trait loci associated with micronutrient contents, grain quality, and agronomic traits in wheat (Triticum aestivumL.), Frontiers in Plant Science, 12: 709817. https://doi.org/10.3389/fpls.2021.709817 PMid:34712248 PMCid:PMC8546302 Su Q., Zhang X., Zhang W., Zhang N., Song L., Liu L., Xue X., Liu G., Liu J., Meng D., Zhi L., Ji J., Zhao X., Yang C., Tong Y., Liu Z., and Li J., 2018, QTL detection for kernel size and weight in bread wheat (Triticum aestivum L.) using a high-density SNP and SSR-Based linkage map, Frontiers in Plant Science, 9: 1484. https://doi.org/10.3389/fpls.2018.01484 PMid:30364249 PMCid:PMC6193082 Wang Z., Dhakal S., Cerit M., Wang S., Rauf Y., Yu S., Maulana F., Huang W., Anderson J., Ma X., Rudd J., Ibrahim A., Xue Q., Hays D., Bernardo A., Amand P., Bai G., Baker J., Baker S., and Liu S., 2022, QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and duster, Frontiers in Plant Science, 13: 1057701. https://doi.org/10.3389/fpls.2022.1057701 PMid:36570880 PMCid:PMC9768232 Xu Y., Yang Y., Wu S., Liu D., and Ren Y., 2023, QTL mapping for root traits and their effects on nutrient uptake and yield performance in common wheat (Triticum aestivumL.), Agriculture, 13(1): 210. https://doi.org/10.3390/agriculture13010210 Yang L., Zhao D., Meng Z., Xu K., Yan J., Xia X., Cao S., Tian Y., He Z., and Zhang Y., 2019, QTL mapping for grain yield-related traits in bread wheat via SNP-based selective genotyping, Theoretical and Applied Genetics, 133: 857-872. https://doi.org/10.1007/s00122-019-03511-0 PMid:31844965

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