PGT_2024v15n5

Plant Gene and Trait 2024, Vol.15, No.5, 230-242 http://genbreedpublisher.com/index.php/pgt 241 Jahani M., Nematzadeh G., Mohammadi-Nejad G., Hashemi S., Dolatabadi B., and Hajipoor A., 2013, Grain size diversity in rice (Oryza sativa L.) genotypes, International Journal of Agronomy and Plant Production, 4: 2024-2029. Jiang L., Li G., Chern M., Jain R., Pham N.T., Martin J.A., Schackwitz W.S., Zhao J., Ruan D., Huang R., Zheng J., and Ronald P.C., 2019, Whole-genome sequencing identifies a rice grain shape mutant, gs9-1, Rice, 12: 52. https://doi.org/10.1186/s12284-019-0308-8 PMid:31321562 PMCid:PMC6639446 Kabange N., Dzorkpe G., Park D., Kwon Y., Lee S., Lee S., Kang J., Jang S., Oh K., and Lee J., 2023, Rice (Oryza sativa L.) grain size, shape, and weight-related QTLs identified using GWAS with multiple GAPIT models and high-density SNP chip DNA markers, Plants, 12(23): 4044. https://doi.org/10.3390/plants12234044 PMid:38068684 PMCid:PMC10708019 Kang J., Kabange N., Phyo Z., Park S., Lee S., Lee J., Shin D., Cho J., Park D., Ko J., and Lee J., 2020, Combined linkage mapping and genome-wide association study identified QTLs associated with grain shape and weight in rice (Oryza sativa L.), Agronomy, 10(10): 1532. https://doi.org/10.3390/agronomy10101532 Kang Y., Zhang M., Zhang Y., Wu W., Xue P., Zhan X., Cao L., Cheng S., and Zhang Y., 2021, Genetic mapping of grain shape associated QTL utilizing recombinant inbred sister lines in high yielding rice (Oryza sativa L.), Agronomy, 11(4): 705. https://doi.org/10.3390/agronomy11040705 Lu L., Shao D., Qiu X., Sun L., Yan W., Zhou X., Yang L., He Y., Yu S., and Xing Y., 2013, Natural variation and artificial selection in four genes determine grain shape in rice, The New Phytologist, 200(4): 1269-1280. https://doi.org/10.1111/nph.12430 PMid:23952103 Lv Y., Wang Y., Jahan N., Hu H., Chen P., Shang L., Lin H., Dong G., Hu J., Gao Z., Qian Q., Zhang Y., and Guo L., 2019, Genome-wide association analysis and allelic mining of grain shape-related traits in rice, Rice Science, 26(6): 384-392. https://doi.org/10.1016/j.rsci.2018.09.002 Meng B., Wang T., Luo Y., Guo Y., Xu D., Liu C., Zou J., Li L., Diao Y., Gao Z., Hu Z., and Zheng X., 2022, Identification and allele combination analysis of rice grain shape-related genes by genome-wide association study, International Journal of Molecular Sciences, 23(3): 1065. https://doi.org/10.3390/ijms23031065 PMid:35162989 PMCid:PMC8835367 Misra G., Badoni S., Domingo C., Cuevas R., Llorente C., Mbanjo E., and Sreenivasulu N., 2018, Deciphering the genetic architecture of cooked rice texture, Frontiers in Plant Science, 9: 1405. https://doi.org/10.3389/fpls.2018.01405 PMid:30333842 PMCid:PMC6176215 Nawaz Z., Kakar K., Li X., Li S., Zhang B., Shou H., and Shu Q., 2015, Genome-wide association mapping of quantitative trait loci (QTLs) for contents of eight elements in brown rice (Oryza sativa L.), Journal of Agricultural and Food Chemistry, 63(36): 8008-8016. https://doi.org/10.1021/acs.jafc.5b01191 PMid:26317332 Niu Y., Chen T., Wang C., Chen K., Shen C., Chen H., Zhu S., Wu Z., Zheng T., Zhang F., and Xu J., 2020, Identification and allele mining of new candidate genes underlying rice grain weight and grain shape by genome-wide association study, BMC Genomics, 22(1): 602. https://doi.org/10.1186/s12864-021-07901-x PMid:34362301 PMCid:PMC8349016 Niu Y., Chen T., Wang C., Chen K., Shen C., Chen H., Zhu S., Wu Z., Zheng T., Zhang F., and Xu J., 2021, Identification and allele mining of new candidate genes underlying rice grain weight and grain shape by genome-wide association study, BMC Genomics, 22(1): 602. https://doi.org/10.1186/s12864-021-07901-x PMid:34362301 PMCid:PMC8349016 Ogawa D., Nonoue Y., Tsunematsu H., Kanno N., Yamamoto T., and Yonemaru J., 2018, Discovery of QTL alleles for grain shape in the Japan-MAGIC rice population using haplotype information, G3: Genes, Genomes, Genetics, 8: 3559-3565. https://doi.org/10.1534/g3.118.200558 PMid:30194091 PMCid:PMC6222584 Ponce, K., Zhang, Y., Guo, L., Leng, Y., & Ye, G., 2020, Genome-wide association study of grain size traits in indica rice multiparent advanced generation intercross (MAGIC) population, Frontiers in Plant Science, 11: 538. https://doi.org/10.3389/fpls.2020.00538 PMid:32391027 PMCid:PMC7193545 Ruan B., Shang L., Zhang B., Hu J., Wang Y., Lin H., Zhang A., Liu C., Peng Y., Zhu L., Ren D., Shen L., Dong G., Zhang G., Zeng D., Guo L., Qian Q., and Gao Z., 2020, Natural variation in the promoter of TGW2 determines grain width and weight in rice, The New Phytologist, 227(2): 629-640. https://doi.org/10.1111/nph.16540 PMid:32167575 Shang F., Chao X., Meng K., Meng X., Li Q., Chen L., and Wang J., 2020, Fine mapping of a grain shape gene from a rice landrace longliheinuo-dwarf (Oryza sativa L. ssp. japonica), Agronomy, 10(3): 380. https://doi.org/10.3390/agronomy10030380

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