LGG_2025v16n1

Legume Genomics and Genetics 2025, Vol.16, No.1, 23-32 http://cropscipublisher.com/index.php/lgg 32 Niazian M., Belzile F., and Torkamaneh D., 2022, CRISPR/Cas9 in planta hairy root transformation: a powerful platform for functional analysis of root traits in soybean, Plants, 11(8): 1044. https://doi.org/10.3390/plants11081044 Ouyang W., Chen L., Ma J., Liu X., Chen H., Yang H., Guo W., Shan Z., Yang Z., Chen S., Zhan Y., Zhang H., Cao D., and Zhou X., 2022, Identification of quantitative trait locus and candidate genes for drought tolerance in a soybean recombinant inbred line population, International Journal of Molecular Sciences, 23(18): 10828. https://doi.org/10.3390/ijms231810828 Rahama M., Sarkar A., Modak S., Hasan M., and Zeba N., 2022, Genetic diversity of agro-morphogenic traits in soybean (Glycine max L. Merr), Asian Journal of Biochemistry, Genetics and Molecular Biology, 12(3): 37-47. https://doi.org/10.9734/ajbgmb/2022/v12i3265 Rani R., Raza G., Ashfaq H., Rizwan M., Razzaq M., Waheed M., Shimelis H., Babar A., and Arif M., 2023a, Genome-wide association study of soybean (Glycine max [L.] Merr.) germplasm for dissecting the quantitative trait nucleotides and candidate genes underlying yield-related traits, Frontiers in Plant Science, 14: 1229495. https://doi.org/10.3389/fpls.2023.1229495 Rani R., Raza G., Ashfaq H., Rizwan M., Shimelis H., Tung M., and Arif M., 2023b, Analysis of genotype ×environment interactions for agronomic traits of soybean (Glycine max [L.] Merr.) using association mapping, Frontiers in Genetics, 13: 1090994. https://doi.org/10.3389/fgene.2022.1090994 Ravelombola W., Qin J., Shi A., Song Q., Yuan J., Wang F., Chen P., Yan L., Feng Y., Zhao T., Meng Y., Guan K., Yang C., and Zhang M., 2021, Genome-wide association study and genomic selection for yield and related traits in soybean, PLoS ONE, 16(8): e0255761. https://doi.org/10.1371/journal.pone.0255761 Subburaj S., and Agapito-Tenfen S., 2023, Establishment of targeted mutagenesis in soybean protoplasts using CRISPR/Cas9 RNP delivery via electro-transfection, Frontiers in Plant Science, 14: 1255819. https://doi.org/10.3389/fpls.2023.1255819 Sun M., Li Y., Zheng J., Wu D., Li C., Li Z., Zang Z., Zhang Y., Fang Q., Li W., Han Y., Zhao X., and Li Y., 2022, A nuclear factor Y-B transcription factor, GmNFYB17, regulates resistance to drought stress in soybean, International Journal of Molecular Sciences, 23(13): 7242. https://doi.org/10.3390/ijms23137242 Wang T., Xun H., Wang W., Ding X., Tian H., Hussain S., Dong Q., Li Y., Cheng Y., Wang C., Lin R., Li G., Qian X., Pang J., Feng X., Dong Y., Liu B., and Wang S., 2021, Mutation of GmAITR genes by CRISPR/Cas9 genome editing results in enhanced salinity stress tolerance in soybean, Frontiers in Plant Science, 12: 779598. https://doi.org/10.3389/fpls.2021.779598 Wu F., Kang X., Wang M., Haider W., Price W., Hajek B., and Hanzawa Y., 2019, Transcriptome-enabled network inference revealed the gmcol1 feed-forward loop and its roles in photoperiodic flowering of soybean, Frontiers in Plant Science, 10: 1221. https://doi.org/10.3389/fpls.2019.01221 Yang C., Yan J., Jiang S., Li X., Min H., Wang X., and Hao D., 2021, Resequencing 250 soybean accessions: new insights into genes associated with agronomic traits and genetic networks, Genomics, Proteomics & Bioinformatics, 20: 29-41. https://doi.org/10.1016/j.gpb.2021.02.009. Yao D., Zhou J., Zhang A., Wang J., Liu Y., Wang L., Pi W., Li Z., Yue W., Cai J., Liu H., Hao W., and Qu X., 2023, Advances in CRISPR/Cas9-based research related to soybean [Glycine max (Linn.) Merr] molecular breeding, Frontiers in Plant Science, 14: 1247707. https://doi.org/10.3389/fpls.2023.1247707 Yoosefzadeh-Najafabadi M., Torabi S., Tulpan D., Rajcan I., and Eskandari M., 2021, Genome-wide association studies of soybean yield-related hyperspectral reflectance bands using machine learning-mediated data integration methods, Frontiers in Plant Science, 12: 777028. https://doi.org/10.3389/fpls.2021.777028 Yu H., Zhao J., Chen L., Wu T., Jiang B., Xu C., Cai Y., Dong J., Han T., Sun S., and Yuan S., 2023, CRISPR/Cas9-mediated targeted mutagenesis of GmEOD1 enhances seed size of soybean, Agronomy, 13(9): 2359. https://doi.org/10.3390/agronomy13092359 Zhu X., Leiser W., Hahn V., and Würschum T., 2021, Identification of QTL for seed yield and agronomic traits in 944 soybean (Glycine max) RILs from a diallel cross of early‐maturing varieties, Plant Breeding, 140(2): 254-266. https://doi.org/10.1111/PBR.12900

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