TGG_2025v16n6

Triticeae Genomics and Genetics, 2025, Vol.16, No.6, 245-253 http://cropscipublisher.com/index.php/tgg 252 Khadgi A., Lekkala S., Verma P., Puppala N., and Janga M., 2025, Emerging strategies for aflatoxin resistance in peanuts via precision breeding, Toxins, 17(8): 394. https://doi.org/10.3390/toxins17080394 Larkin D., Holder A., Mason R., Moon D., Brown-Guedira G., Price P., Harrison S., and Dong Y., 2020, Genome‐wide analysis and prediction of Fusarium head blight resistance in soft red winter wheat, Crop Science, 60: 2882-2900. https://doi.org/10.1002/csc2.20273 Leiva-Sandoval F., 2023, Developing affordable high-throughput plant phenotyping methods for breeding of cereals and tuber crops, Acta Universitatis Agriculturae Sueciae, 2023: 25. https://doi.org/10.54612/a.7rfs3qctlk Li W., Deng Y., Ning Y., He Z., and Wang G., 2020, Exploiting broad-spectrum disease resistance in crops: from molecular dissection to breeding, Annual Review of Plant Biology, 71: 575-603. https://doi.org/10.1146/annurev-arplant-010720-022215 Li Y., Fan Y., You Y., Wang P., Ling Y., Yin H., Chen Y., Zhou H., Luo M., Cao B., and Xia Z., 2025, Efficient marker-assisted pyramiding of Xa21 and Xa23 genes into elite rice restorer lines confers broad-spectrum resistance to bacterial blight, Plants, 14(14): 2107. https://doi.org/10.3390/plants14142107 Mérida-García R., Gálvez S., Solís I., Martínez-Moreno F., Camino C., Soriano J., Sansaloni C., Ammar K., Bentley A., González-Dugo V., Zarco-Tejada P., and Hernandez P., 2024, High-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress, Frontiers in Plant Science, 15: 1470520. https://doi.org/10.3389/fpls.2024.1470520 Pedrozo R., Osakina A., Huang Y., Nicolli C., Wang L., and Jia Y., 2025, Status on genetic resistance to rice blast disease in the post-genomic era, Plants, 14(5): 807. https://doi.org/10.3390/plants14050807 Song P., Li Y., Wang X., Wang X., Zhang A., Wang Z., Zhao W., Li H., Zhao H., Song K., Xing Y., Guo X., Zhang X., Sun S., Feng Y., and Sun D., 2025, Exploration of genomic regions associated with fusarium head blight resistance in wheat and development and validation of kompetitive allele-specific polymerase chain reaction markers, International Journal of Molecular Sciences, 26(7): 3339. https://doi.org/10.3390/ijms26073339 Syed S., Aleliūnas A., Armonienė R., Brazauskas G., and Gorash A., 2025, GWAS analysis of Fusarium head blight resistance in a Nordic-Baltic spring wheat panel, Frontiers in Plant Science, 16: 1604296. https://doi.org/10.3389/fpls.2025.1604296 Uffelmann E., Huang Q., Munung N., De Vries J., Okada Y., Martin A., Martin H., Lappalainen T., and Posthuma D., 2021, Genome-wide association studies, Nature Reviews Methods Primers, 1: 56. https://doi.org/10.1038/s43586-021-00056-9 Wang D., Zhao Y., Zhao X., Ji M., Guo X., Tian J., Chen G., and Deng Z., 2023, Genome-wide association analysis of type II resistance to Fusarium head blight in common wheat, PeerJ, 11: e15906. https://doi.org/10.7717/peerj.15906 Wang H., Yang X., Li T., Li Z., Zhao J., Wang Z., Wang Z., Li T., Chen C., Zhao J., Wang C., Liu X., Deng P., and Ji W., 2025, Comparative transcriptomes reveal insights into different host responses associated with Fusarium head blight resistance in wheat, BMC Plant Biology, 25: 65553. https://doi.org/10.1186/s12870-025-06553-3 Wu F., Zhou Y., Shen Y., Sun Z., Li L., and Li T., 2022, Linking multi-omics to wheat resistance types to fusarium head blight to reveal the underlying mechanisms, International Journal of Molecular Sciences, 23(4): 2280. https://doi.org/10.3390/ijms23042280 Wu L., Wang J., Shen S., Yang Z., and Hu X., 2025, Transcriptomic analysis of two Chinese wheat landraces with contrasting Fusarium head blight resistance reveals miRNA-mediated defense mechanisms, Frontiers in Plant Science, 16: 1537605. https://doi.org/10.3389/fpls.2025.1537605 Wu X., Feng H., Wu D., Yan S., Zhang P., Wang W., Zhang J., Ye J., Dai G., Fan Y., Li W., Song B., Geng Z., Yang W., Chen G., Qin F., Terzaghi W., Stitzer M., Li L., Xiong L., Yan J., Buckler E., Yang W., and Dai M., 2021, Using high-throughput multiple optical phenotyping to decipher the genetic architecture of maize drought tolerance, Genome Biology, 22: 232. https://doi.org/10.1186/s13059-021-02377-0 Xiao Q., Bai X., Zhang C., and He Y., 2021, Advanced high-throughput plant phenotyping techniques for genome-wide association studies: a review, Journal of Advanced Research, 35: 215-230. https://doi.org/10.1016/j.jare.2021.05.002 Xu R., and Li C., 2022, A review of high-throughput field phenotyping systems: focusing on ground robots, Plant Phenomics, 2022: 9760269. https://doi.org/10.34133/2022/9760269 Yang W., Feng H., Zhang X., Zhang J., Doonan J., Batchelor W., Xiong L., and Yan J., 2020, Crop phenomics and high-throughput phenotyping: past decades current challenges and future perspectives, Molecular Plant, 13(2): 187-214. https://doi.org/10.1016/j.molp.2020.01.008

RkJQdWJsaXNoZXIy MjQ4ODYzNA==