IJH_2024v14n2

International Journal of Horticulture, 2024, Vol.14, No.2, 66-77 http://hortherbpublisher.com/index.php/ijh 77 Rodriguez M., Scintu A., Posadinu C., Xu Y., Nguyen C., Sun H., Bitocchi E., Bellucci E., Papa R., Fei, Z., Giovannoni J., Rau D., and Attene G., 2020, GWAS based on RNA-Seq SNPs and high-throughput phenotyping combined with climatic data highlights the reservoir of valuable genetic diversity in regional tomato landraces, Genes, 11(11): 1387. https://doi.org/10.3390/genes11111387 PMid:33238469 PMCid:PMC7709041 Ruggieri V., Francese G., Sacco A., D’Alessandro A., Rigano M.M., Parisi M., Milone M., Cardi T., Mennella G., and Barone A., 2014, An association mapping approach to identify favourable alleles for tomato fruit quality breeding, BMC Plant Biology, 14: 1-15. https://doi.org/10.1186/s12870-014-0337-9 PMid:25465385 PMCid:PMC4266912 Saini R., Nile S., and Park S., 2015, Carotenoids from fruits and vegetables: Chemistry, analysis, occurrence, bioavailability and biological activities, Food Research International, 76(3): 735-750. https://doi.org/10.1016/j.foodres.2015.07.047 PMid:28455059 Samal K., and Rout G., 2018, Genetic improvement of vegetables using transgenic technology, In Genetic engineering of horticultural crops, pp. 193-224, Academic Press. https://doi.org/10.1016/B978-0-12-810439-2.00010-6 Sardar A., 2023, Genetic amelioration of fruit and vegetable crops to increase biotic and abiotic stress resistance through CRISPR Genome Editing, Frontiers in Plant Science, 14: 1260102. https://doi.org/10.3389/fpls.2023.1260102 PMid:37841604 PMCid:PMC10570431 Spindel J., Begum H., Akdemir D., Virk P., Collard B., Redoña E., Atlin G., Jannink J., and McCouch S., 2015, Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines. PLoS genetics, 11(2): e1004982. https://doi.org/10.1371/journal.pgen.1004982 Tibbs Cortes L., Zhang Z., and Yu J., 2021, Status and prospects of genome-wide association studies in plants, The plant genome, 14(1): e20077. https://doi.org/10.1002/tpg2.20077 PMid:33442955 Tiwari J.K., Singh A.K., and Behera T.K., 2023, CRISPR/Cas genome editing in tomato improvement: Advances and applications, Frontiers in Plant Science, 14: 1121209. https://doi.org/10.3389/fpls.2023.1121209 Tu Y., Fu L., Wang F., Wu D., Shen Q., and Zhang G., 2021, GWAS and transcriptomic integrating analysis reveals key salt-responding genes controlling Na+ content in barley roots, Plant Physiology and Biochemistry, 167: 596-606. https://doi.org/10.1016/j.plaphy.2021.08.038 Wang X., Wang H., Liu S., Ferjani A., Li J., Yan J., Yang X., and Qin F., 2016, Genetic variation in ZmVPP1 contributes to drought tolerance in maize seedlings. Nature Genetics, 48(10): 1233-1241. https://doi.org/10.1038/ng.3636 Yang M., Lu K., Zhao F., Xie W., Ramakrishna P., Wang G., Du Q., Liang L., Sun C., Zhao H., Zhang Z., Liu Z., Tian J., Huang X., Wang W., Dong H., Hu J., Ming L., Xing Y., Wang G., Xiao J., Salt D., and Lian X., 2018, Genome-wide association studies reveal the genetic basis of ionomic variation in rice, Plant Cell, 30(11): 2720-2740. https://doi.org/10.1105/tpc.18.00375 Yoon S., Nguyen H., Yoo Y., Kim J., Baik B., Kim S., Kim J., Kim S., and Nam D., 2018, Efficient pathway enrichment and network analysis of GWAS summary data using GSA-SNP2, Nucleic Acids Research, 46(10): e60-e60. https://doi.org/10.1093/nar/gky175 Yoosefzadeh-Najafabadi M., Torabi S., Tulpan D., Rajcan I., and Eskandari M., 2023, Application of SVR-Mediated GWAS for Identification of Durable Genetic Regions Associated with Soybean Seed Quality Traits, Plants, 12(14): 2659 https://doi.org/10.3390/plants12142659 Zhao Y., Yang X., Zhou G., and Zhang T., 2020, Engineering plant virus resistance: from RNA silencing to genome editing strategies. Plant Biotechnology Journal, 18(2): 328-336. https://doi.org/10.1111/pbi.13278 Disclaimer/Publisher’s Note The statements, opinions, and data contained in all publications are solely those of the individual authors and contributors and do not represent the views of the publishing house and/or its editors. The publisher and/or its editors disclaim all responsibility for any harm or damage to persons or property that may result from the application of ideas, methods, instructions, or products discussed in the content. Publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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