سازوکارهای فیزیولوژیک و مولکولی تحمل به شوری در غلات: 2- روش‌های به‌نژادی پیشرفته و چشم‌انداز آینده

Abdul Aziz, M., & Masmoudi, K. (2023). Insights into the transcriptomics of crop wild relatives to unravel the salinity stress adaptive mechanisms. International Journal of Molecular Sciences, 24(12), 9813. doi: 10.3390/ijms24129813.##Afzal, M., Alghamdi, S. S., Nawaz, H., Migdadi, H. H., Altaf, M., El-Harty, E., Al-Fifi, S. A., & Sohaib, M. (2022). Genome-wide identification and expression analysis of CC-NB-ARC-LRR (NB-ARC) disease-resistant family members from soybean (Glycine max L.) reveal their response to biotic stress. Journal of King Saud University-Science, 34(2), 101758. doi: 10.1016/j.jksus.2021.101758.##Atta, K., Mondal, S., Gorai, S., Singh, A. P., Kumari, A., Ghosh, T., Roy, A., Hembram, S., Gaikwad, D. J., Mondal, S., Bhattacharya, S., Jha,U. C., & Jespersen, D. (2023). Impacts of salinity stress on crop plants: Improving salt tolerance through genetic and molecular dissection. Frontiers in Plant Science, 14, 1241736. doi: 10.3389/fpls.2023.1241736.##Barkla, B. J., Vera-Estrella, R., Hernández-Coronado, M., & Pantoja, O. (2009), Quantitative proteomics of the tonoplast reveals a role for glycolytic enzymes in salt tolerance. Plant & Cell, 21(12), 4044-4058. doi: 10.1105/tpc.109.069211.##Bernardo, R. (2016). Bandwagons I, too, have known. Theoretical & Applied Genetics, 129(12), 2323-2332.‏ doi: 10.1007/s00122-016-2772-5.##Cao, Y., Zhang, M., Liang, X., Li, F., Shi, Y., Yang, X., & Jiang, C. (2020). Natural variation of an EF-hand Ca²⁺-binding protein coding gene confers saline-alkaline tolerance in maize. Nature Communications, 11(1), 186. doi: 10.1038/s41467-019-14027-y.##Chen, M., Zhu, X., Liu, X., Wu, C., Yu, C., Hu, G., Chen, L., Chen, R., Bouzayen, M., Zouine, M., & Hao, Y. (2021a). Knockout of auxin response factor SlARF4 improves tomato resistance to water deficit. International Journal of Molecular Sciences, 22(7), 3347. doi: 10.3390/ijms22073347.##Chen, S., Zhang, N., Zhou, G., Hussain, S., Ahmed, S., Tian, H., & Wang, S. (2021b). Knockout of the entire family of AITR genes in Arabidopsis leads to enhanced drought and salinity tolerance without fitness costs. BMC Plant Biology, 21(1), 137. doi: 10.1186/s12870-021-02907-9.##Chinnusamy, V., Jagendorf, A., & Zhu, J. K. (2005). Understanding and improving salt tolerance in plants. Crop Science, 45, 437-448. doi: 10.2135/cropsci2005.0437.##Coppens, F., Wuyts, N., Inzé, D., & Dhondt, S. (2017). Unlocking the potential of plant phenotyping data through integration and data-driven approaches. Current Opinion in Systems Biology, 4, 58-63. doi: 10.1016/j.coisb.2017.07.002.##Cramer, G. R., Urano, K., Delrot, S., Pezzotti, M., & Shinozaki, K. (2011). Effects of abiotic stress on plants: A systems biology perspective. BMC Plant Biology, 11(1), 163. doi: 10.1186/1471-2229-11-163.##Deery, D. M., & Jones, H. G. (2021). Field phenomics: Will it enable crop improvement? Plant Phenomics, 2021, 9871989. doi: 10.34133/2021/9871989.##de Los Campos, G., Hickey, J. M., Pong-Wong, R., Daetwyler, H. D., & Calus, M. P. (2013). Whole-genome regression and prediction methods applied to plant and animal breeding. Genetics, 193(2), 327-345. doi: 10.1534/genetics.112.143313.##Dorostkar, S., Dadkhodaie, A., Ebrahimie, E., Heidari, B., & Ahmadi-Kordshooli, M. (2022). Comparative transcriptome analysis of two contrasting resistant and susceptible Aegilops tauschii accessions to wheat leaf rust (Puccinia triticina) using RNA-sequencing. Scientific Reports, 12(1), 821. doi: 10.1038/s41598-021-04329-x.##Duangjit, J., Causse, M., & Sauvage, C. (2016). Efficiency of genomic selection for tomato fruit quality. Molecular Breeding, 36(3), 29. doi: 10.1007/s11032-016-0453-3.##Endelman, J. B., Atlin, G. N., Beyene, Y., Semagn, K., Zhang, X., Sorrells, M. E., & Jannink, J. L. (2014). Optimal design of preliminary yield trials with genome-wide markers. Crop Science, 54(1), 48-59. doi: 10.2135/cropsci2013.03.0154.##Etesami, H., & Maheshwari, D. K. (2018). Use of plant growth promoting rhizobacteria (PGPRs) with multiple plant growth promoting traits in stress agriculture: Action mechanisms and future prospects. Ecotoxicology & Environmental Safety, 156, 225-246. doi: 10.1016/j.ecoenv.2018.03.013.##Fernandez‑Gallego, J. A., Kefauver, S. C., Gutiérrez, N. A., Nieto‑Taladriz, M. T., & Araus, J. L. (2018). Wheat ear counting in‑field conditions: High throughput and low‑cost approach using RGB images. Plant Methods, 14(22), 1-12. doi: 10.1186/s13007-018-0289-4.##FAO (2023). FAOSTATE. Agricultural Statistics. Food and Agriculture Organization of the United Nations. Rome, Italy. https://www.fao.org/faostat/en/#home.##Formentin, E., Sudiro, C., Perin, G., Riccadonna, S., Barizza, E., Baldoni, E., Lavezzo, E., Stevanato, P., Sacchi, G. A., Fontana, P., Toppo, S., Morosinotto, T., Zottini, M., & Lo Schiavo, F. (2018). Transcriptome and cell physiological analyses in different rice cultivars provide new insights into adaptive and salinity stress responses. Frontiers in Plant Science, 9, 204. doi: 10.3389/fpls.2018.00204.##Gaj, T., Gersbach, C. A., & Barbas, C. F. (2013). ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering. Trends in Biotechnology, 31(7), 397-405. doi: 10.1016/j.tibtech.2013.04.004.##Gharaghanipor, N., Arzani, A., Rahimmalek, M., & Ravash, R. (2022). Physiological and transcriptome indicators of salt tolerance in wild and cultivated barley. Frontiers in Plant Science, 13, 819282. doi: 10.3389/fpls.2022.819282.##Gilliham, M., Able, J. A., & Roy, S. J. (2017). Translating knowledge about abiotic stress tolerance to breeding programmes. The Plant Journal, 90(5), 898-917. doi: 10.1111/tpj.13456.##Guo, G., Ge, P., Ma, C., Li, X., Lv, D., Wang, S., Ma, W., & Yan, Y. (2012). Comparative proteomic analysis of salt response proteins in seedling roots of two wheat varieties. Journal of Proteomics, 75(6), 1867-1885. doi: 10.1016/j.jprot.2011.12.032.##Haque, M. A., Rafii, M. Y., Yusoff, M. M., Ali, N. S., Yusuff, O., Datta, D. R., Anisuzzaman, M., & Ikbal, M. F. (2021). Advanced breeding strategies and future perspectives of salinity tolerance in rice. Agronomy, 11(8), 1631. doi: 10.3390/agronomy11081631.##Hong, M. J., Ko, C. S., Kim, J. B., & Kim, D. Y. (2024). Identification and transcriptomic profiling of salinity stress response genes in colored wheat mutant. PeerJ, 12, e17043. doi: 10.7717/peerj.17043.##Hu, P., Zheng, Q., Luo, Q., Teng, W., Li, H., Li, B., & Li, Z. (2021). Genome-wide association study of yield and related traits in common wheat under salt-stress conditions. BMC Plant Biology, 21(1), 27. doi: 10.1186/s12870-020-02799-1.##Hu, Y., Knapp, S., & Schmidhalter, U. (2020). Advancing high-throughput phenotyping of wheat in early selection cycles. Remote Sensing, 12(3), 574. doi: 10.3390/rs12030574.##Huang, L., Wu, D. Z., & Zhang, G. P. (2020). Advances in studies on ion transporters involved in salt tolerance and breeding crop cultivars with high salt tolerance. Journal of Zhejiang University-Science B, 21(6), 426-441. doi: 10.1631/jzus.B1900510.##Huang, Q. N., Shi, Y. F., Zhang, X. B., Song, L. X., Feng, B. H., Wang, H. M., Xu, X., Li, X.H., Guo, D., & Wu, J. L. (2016). Single base substitution in OsCDC48 is responsible for premature senescence and death phenotype in rice. Journal of Integrative Plant Biology, 58(1), 12-28. doi: 10.1111/jipb.12372.##Jaganathan, D., Ramasamy, K., Sellamuthu, G., Jayabalan, S., & Venkataraman, G. (2018). CRISPR for crop improvement: An update review. Frontiers in Plant Science, 9, 985. doi: 10.3389/fpls.2018.00985.##Jahan, N., Raihan, M. S., Islam, M. M., Era, F. M., Alalawy, A. I., Omran, A. M., Alanazi, Y. F., Sakran, M., Alasmari, A., Alzuaibr, F., El Sabagh, A., Kahrizi, D., & Islam, A. K. M. A. (2024). Genome-wide association studies of salinity tolerance in local aman rice. Cellular & Molecular Biology, 70(2), 10-17. doi: 10.14715/cmb/2024.70.2.2.##Jha, S., Maity, S., Singh, J., Chouhan, C., Tak, N., & Ambatipudi, K. (2022). Integrated physiological and comparative proteomics analysis of contrasting genotypes of pearl millet reveals underlying salt‐responsive mechanisms. Physiologia Plantarum, 174(1), e13605. doi: 10.1111/ppl.13605.##Joseph, B., & Jini, D. (2010). Proteomic analysis of salinity stress-responsive proteins in plants. Asian Journal of Plant Sciences, 9(6), 307. doi: 10.3923/ajps.2010.307.313.##Kamal, A. H., Kihyun, K., Kwang-Hyun, S., Jong-Soon, C., Byung-Kee, B., Tsujimoto, H., Hwa-Young, H., Chul-Soo, P., & Sun-Hee, W. (2010). Abiotic stress responsive proteins of wheat grain determined using proteomics technique. Australian Journal of Crop Science, 4, 196-208.##Kamburova, V. S., Nikitina, E. V., Shermatov, S. E., Buriev, Z. T., Kumpatla, S. P., Emani, C., & Abdurakhmonov, I. Y. (2017). Genome editing in plants: An overview of tools and applications. International Journal of Agronomy, 2017(1), 7315351. doi: 10.1155/2017/7315351.##Katori, T., Ikeda, A., Iuchi, S., Kobayashi, M., Shinozaki, K., Maehashi, K., Sakata, Y., Tanaka, S., & Taji, T. (2010). Dissecting the genetic control of natural variation in salt tolerance of Arabidopsis thaliana accessions. Journal of Experimental Botany, 61(4), 1125-1138. doi: 10.1093/jxb/erp376.##Kausar, R., & Komatsu, S. (2022). Proteomic approaches to uncover salt stress response mechanisms in crops. International Journal of Molecular Sciences, 24(1), 518. doi: 10.3390/ijms24010518.##Khalid, M., Kausar, R., Shahzad, A., Ali, G. M., & Begum, S. (2023). Screening and validation of salt-stress responsive cg-SSR markers in wheat (Triticum aestivum L.) germplasm of Pakistan. Molecular Biology Reports, 50(7), 5931-5940. doi: 10.1007/s11033-023-08519-w.##Kordrostami, M., Rabiei, B., & Hassani Kumleh, H. (2017). Biochemical, physiological and molecular evaluation of rice cultivars differing in salt tolerance at the seedling stage. Physiology & Molecular Biology of Plants, 23(3), 529-544. doi: 10.1007/s12298-017-0440-0.##Koyama, M. L., Levesley, A., Koebner, R. M., Flowers, T. J., & Yeo, A. R. (2001). Quantitative trait loci for component physiological traits determining salt tolerance in rice. Plant Physiology, 125(1), 406-422. doi: 10.1104/pp.125.1.406.##Kumar, P., Choudhary, M., Halder, T., Prakash, N. R., Singh, V. V. T., Sheoran, S., Ravikiran, K. T., Longmei, N., Rakshit, S., & Siddique, K. H. M. (2022). Salinity stress tolerance and omics approaches: Revisiting the progress and achievements in major cereal crops. Heredity, 128(6), 497-518. doi: 10.1038/s41437-022-00516-2.##Kumar, V., Singh, A., Mithra, S. A., Krishnamurthy, S. L., Parida, S. K., Jain, S., Tiwari, K., Kumar, P., Rao, A. R., Sharma, S. K., Khurana, J. P., Singh, N. K., & Mohapatra, T. (2015). Genome-wide association mapping of salinity tolerance in rice (Oryza sativa). DNA Research, 22(2), 133-145. doi: 10.1093/dnares/dsu046.##Li, Y., Wu, X., Zhang, Y., & Zhang, Q. (2022). CRISPR/Cas genome editing improves abiotic and biotic stress tolerance of crops. Frontiers in Genome Editing, 4, 987817. doi: 10.3389/fgeed.2022.987817.##Lowe, R., Shirley, N., Bleackley, M., Dolan, S., & Shafee, T. (2017). Transcriptomics technologies. PLoS Computational Biology, 13(5), e1005457. doi: 10.1371/journal.pcbi.1005457.##Lu, Y., Li, M., Gao, Z., Ma, H., Chong, Y., Hong, J., Wu, J., Wu, D., Xi, D., & Deng, W. (2025). Advances in whole genome sequencing: Methods, tools, and applications in population genomics. International Journal of Molecular Sciences, 26(1), 372. doi: 10.3390/ijms26010372.##Luo, X., Wang, B., Gao, S., Zhang, F., Terzaghi, W., & Dai, M. (2019). Genome‐wide association study dissects the genetic bases of salt tolerance in maize seedlings. Journal of Integrative Plant Biology, 61(6), 658-674. doi: 10.1111/jipb.12797.##Malzahn, A., Lowder, L., & Qi, Y. (2017). Plant genome editing with TALEN and CRISPR. Cell & Bioscience,  7(1), 21. doi: 10.1186/s13578-017-0148-4.##Mani, B. R., Kumar, B. M., & Krishnamurthy, S. L. (2014). Genetic variability and diversity of rice landraces of South Western India based on morphological traits. ORYZA-An International Journal of Rice, 51(4), 261-266. doi: 10.1038/s41598-025-03547-x.##Mansoor, S., Karunathilake, E. M., Tuan, T. T., & Chung, Y. S. (2025). Genomics, phenomics, and machine learning in transforming plant research: Advancements and challenges. Horticultural Plant Journal, 11(2), 486-503. doi: 10.1016/j.hpj.2023.09.005.##Marcos, M., Sharifi, H., Grattan, S. R., & Linquist, B. A. (2018). Spatio-temporal salinity dynamics and yield response of rice in water-seeded rice fields. Agricultural Water Management, 195, 37-46. doi: 10.1016/j.agwat.2017.09.016.##Mardani, Z., Rabiei, B., Sabouri, H., & Sabouri, A. (2014). Identification of molecular markers linked to salt-tolerant genes at germination stage of rice. Plant Breeding, 133(2), 196-202. doi: 10.1111/pbr.12136.##Marè, C., Zampieri, E., Cavallaro, V., Frouin, J., Grenier, C., Courtois, B., Brorrier, L., Tacconi, G., Finocchiaro, F., Serrat, X., Nogues, S., Bundo, M., Segundo, B. S., Negrini, N., Pesenti, M., Sacchi, G. A., Gavina, G., Bovina, R., Monacon, S., Tondelli, A., Cattivelli, L., & Valè, G. (2023). Marker-assisted introgression of the salinity tolerance locus Saltol in temperate Japonica rice. Rice, 16(1), 2.‏ 10.1186/s12284-023-00619-2.##Meuwissen, T.  H., Hayes, B. J., & Goddard, M. (2001). Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157(4), 1819-1829. doi: 10.1093/genetics/157.4.1819.##Mohamed, H. I., Khan, A., & Basit, A. (2024). CRISPR-Cas9 system mediated genome editing technology: an ultimate tool to enhance abiotic stress in crop plants. Journal of Soil Science & Plant Nutrition, 24(2), 1799-1822. doi: 10.1007/s42729-024-01778-x.##Muthu, V., Abbai, R., Nallathambi, J., Rahman, H., Ramasamy, S., Kambale, R., Thulasinathan, T., Ayyenar, B.,  & Muthurajan, R. (2020). Pyramiding QTLs controlling tolerance against drought, salinity, and submergence in rice through marker assisted breeding. PloS One, 15(1), e0227421. doi: 10.1371/journal.pone.0227421.##Mutz, K. O., Heilkenbrinker, A., Lönne, M., Walter, J. G., & Stahl, F. (2013). Transcriptome analysis using next-generation sequencing. Current Opinion in Biotechnology, 24(1), 22-30. doi: 10.1016/j.copbio.2012.09.004.##Mwando, E., Han, Y., Angessa, T. T., Zhou, G., Hill, C. B., Zhang, X. Q., & Li, C. (2020). Genome-wide association study of salinity tolerance during germination in barley (Hordeum vulgare L.). Frontiers in Plant Science, 11, 00118. doi: 10.3389/fpls.2020.00118.##Naveed, S. A., Zhang, F., Zhang, J., Zheng, T. Q., Meng, L. J., Pang, Y. L., Xu, J. L., & Li, Z. K. (2018). Identification of QTN and candidate genes for salinity tolerance at the germination and seedling stages in rice by genome-wide association analyses. Scientific Reports, 8(1), 6505. doi: 10.1038/s41598-018-24946-3.##Nayyeripasand, L., Garoosi, G. A., & Ahmadikhah, A. (2021). Genome-wide association study (GWAS) to identify salt-tolerance QTLs carrying novel candidate genes in rice during early vegetative stage. Rice, 14(1), 9. doi: 10.1186/s12284-020-00433-0.##Nematzadeh, Gh. A., & Kiani, Gh. (2011). Plant Breeding. Volume 2. Molecular Methods. Publication of Sari Agricultural Sciences and Natural Resources University, Sari, Iran. 336 p. [In Persian].##Ndunge, M. M. (2021). Evaluation of agronomic traits among tropical maize under salt stress and identification of responsible saltol quantitative trait locus. Ph. D.  Dissertation. Kenyatta University, The Kenya.##Nongpiur, R. C., Singla-Pareek, S. L., & Pareek, A. (2016). Genomics approaches for improving salinity stress tolerance in crop plants. Current Genomics, 17(4), 343-357. doi: 10.1104/pp.011445.##Nongpiur, R. C., Singla-Pareek, S. L., & Pareek, A. (2020). The quest for osmosensors in plants. Journal of Experimental Botan, 71, 595-607. doi: 10.1093/jxb/erz263.##Nutan, K. K., Singla-Pareek, S. L., & Pareek, A. (2020). The Saltol QTL-localized transcription factor OsGATA8 plays an important role in stress tolerance and seed development in Arabidopsis and rice. Journal of Experimental Botany, 71(2), 684-698. doi: 10.1093/jxb/erz368.##Pang, Y., Chen, K., Wang, X., Wang, W., Xu, J., Ali, J., & Li, Z. (2017). Simultaneous improvement and genetic dissection of salt tolerance of rice (Oryza sativa L.) by designed QTL pyramiding. Frontiers in Plant Science, 8, 1275. doi: 10.3389/fpls.2017.01275.##Poland, J., Endelman, J., Dawson, J., Rutkoski, J., Wu, S., Manes, Y., Dreisigacker, S., Crossa, J., Sanchez-Villeda, H., Sorrells, M., & Jannink, J. L. (2012). Genomic selection in wheat breeding using genotyping-by-sequencing. The Plant Genome, 5(3), 10.3835/plantgenome2012.06.0006.##Poole, N., Donovan, J., & Erenstein, O. (2022). Continuing cereals research for sustainable health and well-being. International Journal of Agricultural Sustainability, 20(5), 693-704. doi: 10.1080/14735903.2021.1975437.##Pruthi, R. (2024). Leveraging the genomic tools to explore the molecular basis of salinity tolerance in rice and soybean. LSU Doctoral Dissertations. 6548. doi: 10.31390/gradschool_dissertations.6548.##Pythoud, F. (2004). The cartagena protocol and GMOs. Nature Biotechnology, 22(11), 1347-1348.##Roitsch, T., Cabrera-Bosquet, L., Fournier, A., Ghamkhar, K., Jiménez-Berni, J., Pinto, F., & Ober, E. S.  (2019). Review: New sensors and data-driven approaches-A path to next generation phenomics. Plant Science, 282, 2-10. doi: 10.1016/j.plantsci.2019.01.011.##Saini, H., Devrani, A., Synrem, G., & Priyanka. (2025). Application of CRISPR technology in plant improvement: An update review. Advances in Agriculture, 2025, 4578877. 10.1155/aia/4578877.##Satyavathi, C. T., Tomar, R. S., Ambawat, S., Kheni, J., Padhiyar, S. M., Desai, H., Bhatt, S. B., Shitap, M. S., Meena, R. C., Singhal, T., Sankar, M., Singh, S. P., & Khandelwal, V. (2022). Stage specific comparative transcriptomic analysis to reveal gene networks regulating iron and zinc content in pearl millet [Pennisetum glaucum (L.) R. Br.]. Scientific Reports, 12(1), 276. doi: 10.1038/s41598-021-04388-0.##Shan, Q., Wang, Y., Li, J., Zhang, Y., Chen, K., Liang, Z., Zhang, K., Liu, J., Xi, J. J., Qiu, J. L., & Gao, C. (2013). Targeted genome modification of crop plants using a CRISPR-Cas system. Nature Biotechnology, 31(8), 686-688. doi: 10.1038/nbt.2650.##Sheng, X., Ai, Z., Tan, Y., Hu, Y., Guo, X., Liu, X., Sun, Z., Yu, D., Chen, J., Tang, N., Duan, M., & Yuan, D. (2023). Novel salinity-tolerant third-generation hybrid rice developed via CRISPR/Cas9-mediated gene editing. International Journal of Molecular Sciences, 24(9), 8025. doi: 10.3390/ijms24098025.##Singh, A. K., Pal, P., Sahoo, U. K., Sharma, L., Pandey, B., Prakash, A., Sarangi, P. K., Prus, P., Pașcalău, R., & Imbrea, F. (2024). Enhancing crop resilience: The role of plant genetics, transcription factors, and next-generation sequencing in addressing salt stress. International Journal of Molecular Sciences, 25(23), 12537. doi: 10.3390/ijms252312537.##Singh, P., Kumar, A., & Borthakur, A. (2019). Abatement of Environmental Pollutants: Trends and Strategies. First Edition. Elsevier. doi: 10.1016/C2018-0- 03174-6.##Singh, V., Krause, M., Sandhu, D., Sekhon, R. S., & Kaundal, A. (2023). Salinity stress tolerance prediction for biomass-related traits in maize (Zea mays L.) using genome-wide markers. The Plant Genome, 16(4), e20385. doi: 10.1002/tpg2.20385.##Sobhanian, H., Aghaei, K., & Komatsu, S. (2011). Changes in the plant proteome resulting from salt stress: Toward the creation of salt-tolerant crops? Journal of Proteomics, 74(8), 1323-1337. doi: 10.1016/j.jprot.2011.03.018.##Song, P., Wang, J., Guo, X., Yang, W., & Zhao, C. (2021). High-throughput phenotyping: Breaking through the bottleneck in future crop breeding. The Crop Journal, 9(3), 633-645. doi: 10.1016/j.cj.2021.03.015.##Soares, A. L., Geilfus, C. M., & Carpentier, S. C. (2018). Genotype-specific growth and proteomic responses of maize toward salt stress. Frontiers in Plant Science, 9, 661. doi: 10.3389/fpls.2018.00661.##Sukumaran, S., Jarquin, D., Crossa, J., & Reynolds, M. (2018). Genomic-enabled prediction accuracies increased by modeling genotype × environment interaction in durum wheat. Plant Genome, 11(2), 30025014. doi: 10.3835/plantgenome2017.12.0112.##Supplitt, S., Karpinski, P., Sasiadek, M., & Laczmanska, I. (2021). Current achievements and applications of transcriptomics in personalized cancer medicine. International Journal of Molecular Sciences, 22(3), 1422. doi: 10.3390/ijms22031422.##Tak, Y. G., & Farnham, P. J. (2015). Making sense of GWAS: Using epigenomics and genome engineering to understand the functional relevance of SNPs in non-coding regions of the human genome. Epigenetics & Chromatin, 8(1), 57. doi: 10.1186/s13072-015-0050-4.##Trono, D., & Pecchioni, N. (2022). Candidate genes associated with abiotic stress response in plants as tools to engineer tolerance to drought, salinity and extreme temperatures in wheat: An overview. Plants, 11(23), 3358. doi: 10.3390/plants11233358.##Turan, S., Cornish, K., & Kumar, S. (2012). Salinity tolerance in plants: breeding and genetic engineering. Australian Journal of Crop Science, 6(9), 1337-1348.##Walsh, J. J., Mangina, E., & Negrão, S. (2024). Advancements in imaging sensors and AI for plant stress detection: A systematic literature review. Plant Phenomics, 6, 0153. doi: 10.34133/plantphenomics.0153.##Wang, M., Wang, Y., Zhang, Y., Li, C., Gong, S., Yan, S., Li, G., Hu, G., Ren, H., Yang, J., Yu, T., & Yang, K. (2019). Comparative transcriptome analysis of salt-sensitive and salt-tolerant maize reveals potential mechanisms to enhance salt resistance. Genes & Genomics, 41(7), 781-801. doi: 10.1007/s13258-019-00793-y.##Wang, X., Ren, P., Ji, L., Zhu, B., & Xie, G. (2022a). OsVDE, a xanthophyll cycle key enzyme, mediates abscisic acid biosynthesis and negatively regulates salinity tolerance in rice. Planta, 255(1), 6. doi: 10.1007/s00425-021-03802-1.##Wang, Y., Zafar, N., Ali, Q., Manghwar, H., Wang, G., Yu, L., Ding, X., Ding, F., Hong, N., Wang, G., & Jin, S. (2022b). CRISPR/Cas genome editing technologies for plant improvement against biotic and abiotic stresses: Advances, limitations, and future perspectives. Cells, 11(23), 3928. doi: 10.3390/cells11233928.##Witzel, K., & Mock, H. P. (2016). A proteomic View of the Cereal and Vegetable Crop Response to Salinity Stress. In: Hosseini Salekdeh, G. (Ed.). Agricultural Proteomics. Volume 2. Environmental Stresses. Springer, Cham. pp. 53-69. doi: 10.1007/978-3-319-43278-6_3.##Würschum, T. (2019). Modern Field Phenotyping Opens New Avenues for Selection. In: Miedaner, T., & Korzun, V. (Eds.). Applications of Genetic and Genomic Research in Cereals. Woodhead Publishing. pp. 233-250. doi: 10.1016/B978-0-08-102163- 7.00011-9.##Xu, C., Tang, X., Shao, H., & Wang, H. (2016). Salinity tolerance mechanism of economic halophytes from physiological to molecular hierarchy for improving food quality. Current Genomics, 17(3), 207-214. doi: 10.2174/1389202917666160202215548.##Xu, N., Lu, B., Wang, Y., Yu, X., Yao, N., Lin, Q., Xu, X., & Lu, B. (2023). Effects of salt stress on seed germination and respiratory metabolism in different Flueggea suffruticosa genotypes. PeerJ, 11, e15668. doi: 10.7717/peerj.15668.##Yin, K., Gao, C., & Qiu, J. L. (2017). Progress and prospects in plant genome editing. Nature Plants, 3(8), 1-6. doi: 10.1038/nplants.2017.107.##Yang, W., Feng, H., Zhang, X., Zhang, J., Doonan, J. H., Batchelor, W. D., Xiong, L., Yan, J., & Yan, J. (2020). Crop phenomics and high-throughput phenotyping: Past decades, current challenges, and future perspectives. Molecular Plant, 13(2), 187-214. doi: 10.1016/j.molp.2020.01.008.##Yousaf, M. S., Ahmad, I., Anwar-ul-Haq, M., Siddiqui, M. T., Khaliq, T., & Berlyn, G. P. (2020). Morphophysiological response and reclamation potential of two agroforestry tree species (Syzygium cumini and Vachellia nilotica) against salinity. Pakistan Journal of Agricultural Sciences, 57(5), 10026. doi: 10.21162/PAKJAS/20.10026.##Yu, J., Zhu, C., Xuan, W., An, H., Tian, Y., Wang, B., Chi, W., Chen, G.,  Ge, Y., Li, J., Dai, Z., Liu, Y., Sun, Z., Xu, D., Wang, C., & Wan, J. (2023). Genome-wide association studies identify OsWRKY53 as a key regulator of salt tolerance in rice. Nature Communications, 14(1), 3550. doi: 10.1038/s41467-023-39167-0.##Zeng, Y., Wen, J., Zhao, W., Wang, Q., & Huang, W. (2020). Rational improvement of rice yield and cold tolerance by editing the three genes OsPIN5b, GS3, and OsMYB30 with the CRISPR-Cas9 system. Frontiers in Plant Science, 10, 1663. doi: 10.3389/fpls.2019.01663.##Zhang, A., Liu, Y., Wang, F., Li, T., Chen, Z., Kong, D., Bi, J., Zhang, F., Luo, X., Wang, J., Tang, J., Yu, X., Liu, G., & Luo, L. (2019). Enhanced rice salinity tolerance via CRISPR/Cas9-targeted mutagenesis of the OsRR22 gene. Molecular Breeding, 39(3), 47. doi: 10.1007/s11032-019-0954-y.##Zhang, A., Sun, H., Wang, P., Han, Y., & Wang, X. (2012). Modern analytical techniques in metabolomics analysis. Analyst, 137(2), 293-300.##Zhang, X., Pérez-Rodríguez, P., Semagn, K., Beyene, Y., Babu, R., López-Cruz, M. A., Vicente, F. S., Olsen, M., Buckler, E., Jannink, J. L., Prasanna, B. M., & Crossa, J. (2015). Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs. Heredity, 114(3), 291-299. doi: 10.1038/hdy.2014.99.##Zheng, M., Lin, J., Liu, X., Chu, W., Li, J., Gao, Y., An, K., Song, W., Xin, M.,Yao, Y., Peng, H., Ni, Z., Sun, Q., & Hu, Z. (2021). Histone acetyltransferase TaHAG1 acts as a crucial regulator to strengthen salt tolerance of hexaploid wheat. Plant Physiology, 186(4), 1951-1969. doi: 10.1093/plphys/kiab187.##Zong, Y., Wang, Y., Li, C., Zhang, R., Chen, K., Ran, Y., Qiu,J. L., Wang, D., & Gao, C. (2017). Precise base editing in rice, wheat and maize with a Cas9-cytidine deaminase fusion. Nature Biotechnology, 35(5), 438-440. doi: 10.1038/nbt.3811.##