Triticeae Genomics and Genetics, 2024, Vol.15, No.5, 277-286 http://cropscipublisher.com/index.php/tgg 286 Nerkar G., Devarumath S., Purankar M.V., Kumar A., Valarmathi R., Devarumath R., and Appunu C., 2022, Advances in crop breeding through precision genome editing, Frontiers in Genetics, 13: 880195. https://doi.org/10.3389/fgene.2022.880195 Ober, E., Alahmad, S., Cockram, J., Forestan, C., Hickey, L., Kant, J., Maccaferri, M., Francisco P., Charlotte R., Matthew R., Silvio ., Giuseppe S., Rod J.S., Pauline T., Roberto T., Cristobal U., Kai P.V., Emma W., and Michelle W., 2021, Wheat root systems as a breeding target for climate resilience, TAG. Theoretical and Applied Genetics, 134: 1645-1662. https://doi.org/10.1007/s00122-021-03819-w Pang Y., Wu Y., Liu C., Li W., St. Amand P., Bernardo A., Wang D., Dong L., Yuan X.F., Zhang H.R., Zhao M., Li L.Z., Wang L.M., He F., Liang Y.L., Yan Q., Lu Y., Su Y., Jiang H.M., Wu J.J., Li A.F., Kong L., Bai G.H., and Liu S., 2021, High-resolution genome-wide association study and genomic prediction for disease resistance and cold tolerance in wheat, Theoretical and Applied Genetics, 134: 2857-2873. https://doi.org/10.1007/s00122-021-03863-6 Pinu F.R., Beale D.J., Paten A.M., Kouremenos K.A., Swarup S., Schirra H.J., and Wishart D.S., 2019, Systems biology and multi-omics integration: Viewpoints from the metabolomics research community, Metabolites, 9(4): 76. https://doi.org/10.3390/metabo9040076 Prasanna B., Cairns J., Zaidi P.H., Beyene Y., Makumbi D., Gowda M., and Magorokosho C., 2021, Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments, Theoretical and Applied Genetics, 134: 1729-1752. https://doi.org/10.1007/s00122-021-03773-7 Robles-Zazueta C.A., Crespo-Herrera L., Piñera-Chávez F.J., Rivera-Amado C., and Aradottir G.I., 2023, Climate change impacts on crop breeding: targeting interacting biotic and abiotic stresses for wheat improvement, The Plant Genome, 17(1): e20365. https://doi.org/10.1002/tpg2.20365. Wang Y., Zafar N., Ali Q., Manghwar H., Wang G., and Jin S., 2022, CRISPR/Cas genome editing technologies for plant improvement against biotic and abiotic stresses: advances, limitations, and future perspectives, Cells, 11: 23928. https://doi.org/10.3390/cells11233928 Wani S.H., Choudhary M., Kumar P., Akram N., Surekha C., Ahmad P., and Gosal S., 2018, Marker-assisted breeding for abiotic stress tolerance in crop plants, Springer, 3: 1-23. https://doi.org/10.1007/978-3-319-94746-4_1 Xie C., and Yang C., 2020, A review on plant high-throughput phenotyping traits using UAV-based sensors, Computers and Electronics in Agriculture, 178: 105731. https://doi.org/10.1016/j.compag.2020.105731
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