Abass M, Morris PC, 2013. The Hordeum vulgare signalling protein MAP kinase 4 is a regulator of biotic and abiotic stress responses. J Plant Physiol, 170(15):1353-1359. https://doi.org/10.1016/j.jplph.2013.04.009https://doi.org/10.1016/j.jplph.2013.04.009

Acosta JA, Faz A, Jansen B, et al., 2011. Assessment of salinity status in intensively cultivated soils under semiarid climate, Murcia, SE Spain. J Arid Environ, 75(11):‍1056-1066. https://doi.org/10.1016/j.jaridenv.2011.05.006https://doi.org/10.1016/j.jaridenv.2011.05.006

Adisa OM, Masinde M, Botai JO, et al., 2020. Bibliometric analysis of methods and tools for drought monitoring and prediction in Africa. Sustainability, 12(16):6516. https://doi.org/10.3390/su12166516https://doi.org/10.3390/su12166516

Afgan E, Baker D, Batut B, et al., 2018. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Res, 46(W1):W537-W544. https://doi.org/10.1093/nar/gky379https://doi.org/10.1093/nar/gky379

Ahmadalipour A, Moradkhani H, Castelletti A, et al., 2019. Future drought risk in Africa: integrating vulnerability, climate change, and population growth. Sci Total Environ, 662:672-686. https://doi.org/10.1016/j.scitotenv.2019.01.278https://doi.org/10.1016/j.scitotenv.2019.01.278

Ahmed F, Rafii MY, Ismail MR, et al., 2013. Waterlogging tolerance of crops: breeding, mechanism of tolerance, molecular approaches, and future prospects. Biomed Res Int, 2013:963525. https://doi.org/10.1155/2013/963525https://doi.org/10.1155/2013/963525

al Abdallat AM, Ayad JY, abu Elenein JM, et al., 2014. Overexpression of the transcription factor HvSNAC1 improves drought tolerance in barley (Hordeum vulgare L.). Mol Breeding, 33(2):401-414. https://doi.org/10.1007/s11032-013-9958-1https://doi.org/10.1007/s11032-013-9958-1

Alexander RD, Wendelboe-Nelson C, Morris PC, 2019. The barley transcription factor HvMYB1 is a positive regulator of drought tolerance. Plant Physiol Biochem, 142:‍246-253. https://doi.org/10.1016/j.plaphy.2019.07.014https://doi.org/10.1016/j.plaphy.2019.07.014

Alghuthaymi MA, Ahmad A, Khan Z, et al., 2021. Exosome/liposome-like nanoparticles: new carriers for CRISPR genome editing in plants. Int J Mol Sci, 22(14):7456. https://doi.org/10.3390/ijms22147456https://doi.org/10.3390/ijms22147456

Ali Q, Malik A, 2021. Genetic response of growth phases for abiotic environmental stress tolerance in cereal crop plants. Genetika, 53(1):419-456. https://doi.org/10.2298/GENSR2101419Ahttps://doi.org/10.2298/GENSR2101419A

Aman R, Ali Z, Butt H, et al., 2018. RNA virus interference via CRISPR/Cas13a system in plants. Genome Biol, 19:1. https://doi.org/10.1186/s13059-017-1381-1https://doi.org/10.1186/s13059-017-1381-1

An YH, Gu Z, Jiao XY, et al., 2022. Enhanced N2O emissions from winter wheat field induced by winter irrigation in the North China Plain. Agronomy, 12(4):955. https://doi.org/10.3390/agronomy12040955https://doi.org/10.3390/agronomy12040955

Anzalone AV, Randolph PB, Davis JR, et al., 2019. Search-and-replace genome editing without double-strand breaks or donor DNA. Nature, 576(7785):149-157. https://doi.org/10.1038/s41586-019-1711-4https://doi.org/10.1038/s41586-019-1711-4

Araneda-Cabrera RJ, Bermúdez M, Puertas J, 2021. Benchmarking of drought and climate indices for agricultural drought monitoring in Argentina. Sci Total Environ, 790:148090. https://doi.org/10.1016/j.scitotenv.2021.148090https://doi.org/10.1016/j.scitotenv.2021.148090

Atkinson NJ, Urwin PE, 2012. The interaction of plant biotic and abiotic stresses: from genes to the field. J Exp Bot, 63(10):3523-3543. https://doi.org/10.1093/jxb/ers100https://doi.org/10.1093/jxb/ers100

Bahrani HA, Ghazvini H, Amiri B, et al., 2023. Responses of barley (Hordeum vulgare L.) genotypes to salinity stress under controlled and field conditions. Gesunde Pflanz, 75:499-513. https://doi.org/10.1007/s10343-022-00711-5https://doi.org/10.1007/s10343-022-00711-5

Bennett A, 2021. A Review of the Economics of Regenerative Agriculture in Western Australia. Department of Primary Industries and Regional Development, Western Australian Government, Perth, Australia. https://library.dpird.wa.gov.au/pubns/153https://library.dpird.wa.gov.au/pubns/153

Bento VA, Ribeiro AFS, Russo A, et al., 2021. The impact of climate change in wheat and barley yields in the Iberian Peninsula. Sci Rep, 11:15484. https://doi.org/10.1038/s41598-021-95014-6https://doi.org/10.1038/s41598-021-95014-6

Billon P, Bryant EE, Joseph SA, et al., 2017. CRISPR-mediated base editing enables efficient disruption of eukaryotic genes through induction of STOP codons. Mol Cell, 67(6):1068-1079.e4. https://doi.org/10.1016/j.molcel.2017.08.008https://doi.org/10.1016/j.molcel.2017.08.008

Borrego-Benjumea A, Carter A, Glenn AJ, et al., 2019. Impact of excess moisture due to precipitation on barley grain yield in the Canadian Prairies. Can J Plant Sci, 99(1):93-96. https://doi.org/10.1139/cjps-2018-0108https://doi.org/10.1139/cjps-2018-0108

Borrego-Benjumea A, Carter A, Tucker JR, et al., 2020. Genome-wide analysis of gene expression provides new insights into waterlogging responses in barley (Hordeum vulgare L.). Plants (Basel), 9(2):240. https://doi.org/10.3390/plants9020240https://doi.org/10.3390/plants9020240

Borychowski M, Grzelak A, Popławski Ł, 2022. What drives low-carbon agriculture? The experience of farms from the Wielkopolska region in Poland. Environ Sci Pollut Res, 29(13):18641-18652. https://doi.org/10.1007/s11356-021-17022-3https://doi.org/10.1007/s11356-021-17022-3

Bosello F, Nicholls RJ, Richards J, et al., 2012. Economic impacts of climate change in Europe: sea-level rise. Climatic Change, 112(1):63-81. https://doi.org/10.1007/s10584-011-0340-1https://doi.org/10.1007/s10584-011-0340-1

Brinkman EK, Chen T, Amendola M, et al., 2014. Easy quantitative assessment of genome editing by sequence trace decomposition. Nucleic Acids Res, 42(22):e168. https://doi.org/10.1093/nar/gku936https://doi.org/10.1093/nar/gku936

Brisson N, Rebière B, Zimmer D, et al., 2002. Response of the root system of a winter wheat crop to waterlogging. Plant Soil, 243(1):43-55. https://doi.org/10.1023/A:1019947903041https://doi.org/10.1023/A:1019947903041

Butt H, Rao GS, Sedeek K, et al., 2020. Engineering herbicide resistance via prime editing in rice. Plant Biotechnol J, 18(12):2370-2372. https://doi.org/10.1111/pbi.13399https://doi.org/10.1111/pbi.13399

Cammarano D, Ceccarelli S, Grando S, et al., 2019. The impact of climate change on barley yield in the Mediterranean basin. Eur J Agron, 106:1-11. https://doi.org/10.1016/j.eja.2019.03.002https://doi.org/10.1016/j.eja.2019.03.002

Challinor AJ, Watson J, Lobell DB, et al., 2014. A meta-analysis of crop yield under climate change and adaptation. Nat Climate Change, 4(4):287-291. https://doi.org/10.1038/nclimate2153https://doi.org/10.1038/nclimate2153

Chatzidimopoulos M, Ganopoulos I, Moraitou-Daponta E, et al., 2019. High-resolution melting (HRM) analysis reveals genotypic differentiation of Venturia inaequalis populations in Greece. Front Ecol Evol, 7:489. https://doi.org/10.3389/fevo.2019.00489https://doi.org/10.3389/fevo.2019.00489

Chen J, Mueller V, 2018. Coastal climate change, soil salinity and human migration in Bangladesh. Nat Climate Change, 8(11):981-985. https://doi.org/10.1038/s41558-018-0313-8https://doi.org/10.1038/s41558-018-0313-8

Christen E, Saliem KA, 2013. Managing Salinity in Iraq’s Agriculture: Current State, Causes, and Impacts. International Center for Agricultural Research in the Dry Areas (ICARDA), Lebanon.

Ciais P, Reichstein M, Viovy N, et al., 2005. Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature, 437(7058):529-533. https://doi.org/10.1038/nature03972https://doi.org/10.1038/nature03972

Ciancio N, Miralles DJ, Striker GG, et al., 2021. Plant growth rate after, and not during, waterlogging better correlates to yield responses in wheat and barley. J Agron Crop Sci, 207(2):304-316. https://doi.org/10.1111/jac.12472https://doi.org/10.1111/jac.12472

Cochrane DW, Shah JK, Hebelstrup KH, et al., 2017. Expression of phytoglobin affects nitric oxide metabolism and energy state of barley plants exposed to anoxia. Plant Sci, 265:124-130. https://doi.org/10.1016/j.plantsci.2017.10.001https://doi.org/10.1016/j.plantsci.2017.10.001

Cohen I, Zandalinas SI, Huck C, et al., 2021. Meta-analysis of drought and heat stress combination impact on crop yield and yield components. Physiol Plant, 171(1):‍66-76. https://doi.org/10.1111/ppl.13203https://doi.org/10.1111/ppl.13203

Collin A, Daszkowska-Golec A, Kurowska M, et al., 2020. Barley ABI5 (Abscisic Acid INSENSITIVE 5) is involved in abscisic acid-dependent drought response. Front Plant Sci, 11:1138. https://doi.org/10.3389/fpls.2020.01138https://doi.org/10.3389/fpls.2020.01138

Colmsee C, Beier S, Himmelbach A, et al., 2015. BARLEX-the barley draft genome explorer. Mol Plant, 8(6):964-966. https://doi.org/10.1016/j.molp.2015.03.009https://doi.org/10.1016/j.molp.2015.03.009

Corwin DL, 2021. Climate change impacts on soil salinity in agricultural areas. Eur J Soil Sci, 72(2):842-862. https://doi.org/10.1111/ejss.13010https://doi.org/10.1111/ejss.13010

Daliakopoulos IN, Tsanis IK, Koutroulis A, et al., 2016. The threat of soil salinity: a European scale review. Sci Total Environ, 573:727-739. https://doi.org/10.1016/j.scitotenv.2016.08.177https://doi.org/10.1016/j.scitotenv.2016.08.177

de Castro J, Hill RD, Stasolla C, et al., 2022. Waterlogging stress physiology in barley. Agronomy, 12(4):780. https://doi.org/10.3390/agronomy12040780https://doi.org/10.3390/agronomy12040780

de san Celedonio RP, Abeledo LG, Miralles DJ, 2014. Identifying the critical period for waterlogging on yield and its components in wheat and barley. Plant Soil, 378(1-2):265-277. https://doi.org/10.1007/s11104-014-2028-6https://doi.org/10.1007/s11104-014-2028-6

Dickin E, Wright D, 2008. The effects of winter waterlogging and summer drought on the growth and yield of winter wheat (Triticum aestivum L.). Eur J Agron, 28(3):234-244. https://doi.org/10.1016/j.eja.2007.07.010https://doi.org/10.1016/j.eja.2007.07.010

Doll NM, Gilles LM, Gérentes MF, et al., 2019. Single and multiple gene knockouts by CRISPR-Cas9 in maize. Plant Cell Rep, 38(4):487-501. https://doi.org/10.1007/s00299-019-02378-1https://doi.org/10.1007/s00299-019-02378-1

Elliott J, Glotter M, Ruane AC, et al., 2018. Characterizing agricultural impacts of recent large-scale US droughts and changing technology and management. Agric Syst, 159:275-281. https://doi.org/10.1016/j.agsy.2017.07.012https://doi.org/10.1016/j.agsy.2017.07.012

Fatima Z, Ahmed M, Hussain M, et al., 2020. The fingerprints of climate warming on cereal crops phenology and adaptation options. Sci Rep, 10:18013. https://doi.org/10.1038/s41598-020-74740-3https://doi.org/10.1038/s41598-020-74740-3

Feng X, Liu WX, Qiu CW, et al., 2020a. HvAKT2 and HvHAK1 confer drought tolerance in barley through enhanced leaf mesophyll H+ homoeostasis. Plant Biotechnol J, 18(8):1683-1696. https://doi.org/10.1111/pbi.13332https://doi.org/10.1111/pbi.13332

Feng X, Liu WX, Cao FB, et al., 2020b. Overexpression of HvAKT1 improves drought tolerance in barley by regulating root ion homeostasis and ROS and NO signaling. J Exp Bot, 71(20):6587-6600. https://doi.org/10.1093/jxb/eraa354https://doi.org/10.1093/jxb/eraa354

Flessner ML, Burke IC, Dille JA, et al., 2021. Potential wheat yield loss due to weeds in the United States and Canada. Weed Technol, 35(6):916-923. https://doi.org/10.1017/wet.2021.78https://doi.org/10.1017/wet.2021.78

FAO (The Food and Agriculture Organization of the United Nations), 2009. Global Agriculture Towards 2050. High Level Expert Forum—How to Feed the World in 2050, Office of the Director, Agricultural Development Economics Division Economic and Social Development Department, Rome, Italy. https://www.fao.org/fileadmin/templates/wsfs/docs/Issues_papers/HLEF2050_Global_Agriculture.pdfhttps://www.fao.org/fileadmin/templates/wsfs/docs/Issues_papers/HLEF2050_Global_Agriculture.pdf

Fu LB, Wu DZ, Zhang XC, et al., 2022. Vacuolar H+-pyrophosphatase HVP10 enhances salt tolerance via promoting Na+ translocation into root vacuoles. Plant Physiol, 188(2):1248-1263. https://doi.org/10.1093/plphys/kiab538https://doi.org/10.1093/plphys/kiab538

Fujii M, Yokosho K, Yamaji N, et al., 2012. Acquisition of aluminium tolerance by modification of a single gene in barley. Nat Commun, 3:713. https://doi.org/10.1038/ncomms1726https://doi.org/10.1038/ncomms1726

Galon L, Basso FJM, Forte CT, et al., 2022. Weed interference period and economic threshold level in barley. J Plant Prot Res, 62(1):33-48. https://doi.org/10.24425/jppr.2022.140295https://doi.org/10.24425/jppr.2022.140295

Gammans M, Mérel P, Ortiz-Bobea A, 2017. Negative impacts of climate change on cereal yields: statistical evidence from France. Environ Res Lett, 12(5):054007. https://doi.org/10.1088/1748-9326/aa6b0chttps://doi.org/10.1088/1748-9326/aa6b0c

Gao YY, Quan SX, Lyu B, et al., 2022. Barley transcription factor HvNLP2 mediates nitrate signaling and affects nitrogen use efficiency. J Exp Bot, 73(3):770-783. https://doi.org/10.1093/jxb/erab245https://doi.org/10.1093/jxb/erab245

Gasparis S, Kała M, Przyborowski M, et al., 2018. A simple and efficient CRISPR/Cas9 platform for induction of single and multiple, heritable mutations in barley (Hordeum vulgare L.). Plant Methods, 14:111. https://doi.org/10.1186/s13007-018-0382-8https://doi.org/10.1186/s13007-018-0382-8

Geng GP, Wu JJ, Wang QF, et al., 2016. Agricultural drought hazard analysis during 1980‍‒‍2008: a global perspective. Int J Climatol, 36(1):389-399. https://doi.org/10.1002/joc.4356https://doi.org/10.1002/joc.4356

Gharde Y, Singh PK, Dubey RP, 2018. Assessment of yield and economic losses in agriculture due to weeds in India. Crop Protection, 107:12-18. https://doi.org/10.1016/j.cropro.2018.01.007https://doi.org/10.1016/j.cropro.2018.01.007

Gierczik K, Székely A, Ahres M, et al., 2019. Overexpression of two upstream phospholipid signaling genes improves cold stress response and hypoxia tolerance, but leads to developmental abnormalities in barley. Plant Mol Biol Rep, 37(4):314-326. https://doi.org/10.1007/s11105-019-01154-5https://doi.org/10.1007/s11105-019-01154-5

Gomez-Sanchez A, Gonzalez-Melendi P, Santamaria ME, et al., 2019. Repression of drought-induced cysteine-protease genes alters barley leaf structure and responses to abiotic and biotic stresses. J Exp Bot, 70(7):2143-2155. https://doi.org/10.1093/jxb/ery410https://doi.org/10.1093/jxb/ery410

Gorji T, Sertel E, Tanik A, 2017. Monitoring soil salinity via remote sensing technology under data scarce conditions: a case study from Turkey. Ecol Indic, 74:384-391. https://doi.org/10.1016/j.ecolind.2016.11.043https://doi.org/10.1016/j.ecolind.2016.11.043

GRDC GrowNotes, 2016. Barley Weed Control, Barley Northern Region. https://grdc.com.au/__data/assets/pdf_file/0022/370534/GrowNote-Barley-North-6-Weed-Control.‍pdfhttps://grdc.com.au/__data/assets/pdf_file/0022/370534/GrowNote-Barley-North-6-Weed-Control.‍pdf

Grohmann L, Keilwagen J, Duensing N, et al., 2019. Detection and identification of genome editing in plants: challenges and opportunities. Front Plant Sci, 10:236. https://doi.org/10.3389/fpls.2019.00236https://doi.org/10.3389/fpls.2019.00236

Gürel F, Öztürk ZN, Uçarlı C, et al., 2016. Barley genes as tools to confer abiotic stress tolerance in crops. Front Plant Sci, 7:1137. https://doi.org/10.3389/fpls.2016.01137https://doi.org/10.3389/fpls.2016.01137

Han Y, Yin SY, Huang L, et al., 2018. A sodium transporter HvHKT1;‍1 confers salt tolerance in barley via regulating tissue and cell ion homeostasis. Plant Cell Physiol, 59(10):1976-1989. https://doi.org/10.1093/pcp/pcy116https://doi.org/10.1093/pcp/pcy116

Han Y, Broughton S, Liu L, et al., 2021. Highly efficient and genotype-independent barley gene editing based on anther culture. Plant Commun, 2(2):100082. https://doi.org/10.1016/j.xplc.2020.100082https://doi.org/10.1016/j.xplc.2020.100082

Hazzouri KM, Khraiwesh B, Amiri KMA, et al., 2018. Mapping of HKT1;5 gene in barley using GWAS approach and its implication in salt tolerance mechanism. Front Plant Sci, 9:156. https://doi.org/10.3389/fpls.2018.00156https://doi.org/10.3389/fpls.2018.00156

He G, Liu XS, Cui ZL, 2021. Achieving global food security by focusing on nitrogen efficiency potentials and local production. Glob Food Sec, 29:100536. https://doi.org/10.1016/j.gfs.2021.100536https://doi.org/10.1016/j.gfs.2021.100536

He TH, Angessa T, Hill CB, et al., 2022. Genetic solutions through breeding counteract climate change and secure barley production in Australia. Crop Des, 1(1):100001. https://doi.org/10.1016/j.cropd.2021.12.001https://doi.org/10.1016/j.cropd.2021.12.001

Hebelstrup KH, Shah JK, Simpson C, et al., 2014. An assessment of the biotechnological use of hemoglobin modulation in cereals. Physiol Plant, 150(4):593-603. https://doi.org/10.1111/ppl.12115https://doi.org/10.1111/ppl.12115

Heffer P, Prud'homme M, 2016. Global nitrogen fertiliser demand and supply: trend, current level and outlook. Proceedings of 2016 International Nitrogen Initiative Conference, Melbourne, Australia.

Hirayama T, Shinozaki K, 2010. Research on plant abiotic stress responses in the post-genome era: past, present and future. Plant J, 61(6):1041-1052. https://doi.org/10.1111/j.1365-313X.2010.04124.xhttps://doi.org/10.1111/j.1365-313X.2010.04124.x

Holme IB, Wendt T, Gil-Humanes J, et al., 2017. Evaluation of the mature grain phytase candidate HvPAPhy_a gene in barley (Hordeum vulgare L.) using CRISPR/Cas9 and TALENs. Plant Mol Biol, 95(1-2):111-121. https://doi.org/10.1007/s11103-017-0640-6https://doi.org/10.1007/s11103-017-0640-6

Houk E, Frasier M, Schuck E, 2006. The agricultural impacts of irrigation induced waterlogging and soil salinity in the Arkansas Basin. Agric Water Manag, 85(1-2):175-183. https://doi.org/10.1016/j.agwat.2006.04.007https://doi.org/10.1016/j.agwat.2006.04.007

Houlton BZ, Almaraz M, Aneja V, et al., 2019. A world of cobenefits: solving the global nitrogen challenge. Earths Future, 7(8):865-872. https://doi.org/10.1029/2019EF001222https://doi.org/10.1029/2019EF001222

Huang JP, Yu HP, Guan XD, et al., 2016. Accelerated dryland expansion under climate change. Nat Climate Change, 6(2):166-171. https://doi.org/10.1038/nclimate2837https://doi.org/10.1038/nclimate2837

Huang L, Kuang LH, Wu LY, et al., 2020. The HKT transporter HvHKT1;‍5 negatively regulates salt tolerance. Plant Physiol, 182(1):584-596. https://doi.org/10.1104/pp.19.00882https://doi.org/10.1104/pp.19.00882

Hudzenko VM, Demydov OA, Polishchuk TP, et al., 2021. Comprehensive evaluation of spring barley yield and tolerance to abiotic and biotic stresses. Ukr J Ecol, 11(8):48-55. https://doi.org/10.15421/2021_267https://doi.org/10.15421/2021_267

Huffman E, Eilers RG, Padbury G, et al., 2000. Canadian agri-environmental indicators related to land quality: integrating census and biophysical data to estimate soil cover, wind erosion and soil salinity. Agric Ecosyst Environ, 81(2):113-123. https://doi.org/10.1016/S0167-8809(00)00185-7https://doi.org/10.1016/S0167-8809(00)00185-7

Hughes J, Hepworth C, Dutton C, et al., 2017. Reducing stomatal density in barley improves drought tolerance without impacting on yield. Plant Physiol, 174(2):776-787. https://doi.org/10.1104/pp.16.01844https://doi.org/10.1104/pp.16.01844

Hunt E, Femia F, Werrell C, et al., 2021. Agricultural and food security impacts from the 2010 Russia flash drought. Weather Climate Extremes, 34:100383. https://doi.org/10.1016/j.wace.2021.100383https://doi.org/10.1016/j.wace.2021.100383

The International Barley Genome Sequencing Consortium, 2012. A physical, genetic and functional sequence assembly of the barley genome. Nature, 491(7426):711-716. https://doi.org/10.1038/nature11543https://doi.org/10.1038/nature11543

Ismagul A, Mazonka I, Callegari C, et al., 2014. Agrobacterium-mediated transformation of barley (Hordeum vulgare L.). In: Fleury D, Whitford R (Eds.), Crop Breeding: Methods and Protocols. Human Press, New York, p.203-211. https://doi.org/10.1007/978-1-4939-0446-4_16https://doi.org/10.1007/978-1-4939-0446-4_16

Jabran K, Mahajan G, Sardana V, et al., 2015. Allelopathy for weed control in agricultural systems. Crop Protection, 72:57-65. https://doi.org/10.1016/j.cropro.2015.03.004https://doi.org/10.1016/j.cropro.2015.03.004

Janack B, Sosoi P, Krupinska K, et al., 2016. Knockdown of WHIRLY1 affects drought stress-induced leaf senescence and histone modifications of the senescence-associated gene HvS40. Plants, 5(3):37. https://doi.org/10.3390/plants5030037https://doi.org/10.3390/plants5030037

Janiak A, Kwasniewski M, Sowa M, et al., 2018. No time to waste: transcriptome study reveals that drought tolerance in barley may be attributed to stressed-like expression patterns that exist before the occurrence of stress. Front Plant Sci, 8:2212. https://doi.org/10.3389/fpls.2017.02212https://doi.org/10.3389/fpls.2017.02212

Jayakodi M, Padmarasu S, Haberer G, et al., 2020. The barley pan-genome reveals the hidden legacy of mutation breeding. Nature, 588(7837):284-289. https://doi.org/10.1038/s41586-020-2947-8https://doi.org/10.1038/s41586-020-2947-8

Jeknić Z, Pillman KA, Dhillon T, et al., 2014. Hv-CBF2A overexpression in barley accelerates COR gene transcript accumulation and acquisition of freezing tolerance during cold acclimation. Plant Mol Biol, 84(1-2):67-82. https://doi.org/10.1007/s11103-013-0119-zhttps://doi.org/10.1007/s11103-013-0119-z

Kang GZ, Li GZ, Ma HZ, et al., 2013. Proteomic analysis on the leaves of TaBTF3 gene virus-induced silenced wheat plants may reveal its regulatory mechanism. J Proteomics, 83:130-143. https://doi.org/10.1016/j.jprot.2013.03.020https://doi.org/10.1016/j.jprot.2013.03.020

Karunarathne SD, Han Y, Zhang XQ, et al., 2020. Genome-wide association study and identification of candidate genes for nitrogen use efficiency in barley (Hordeum vulgare L.). Front Plant Sci, 11:571912. https://doi.org/10.3389/fpls.2020.571912https://doi.org/10.3389/fpls.2020.571912

Karunarathne SD, Han Y, Zhang XQ, et al., 2022. CRISPR/Cas9 gene editing and natural variation analysis demonstrate the potential for HvARE1 in improvement of nitrogen use efficiency in barley. J Integr Plant Biol, 64(3):756-770. https://doi.org/10.1111/jipb.13214https://doi.org/10.1111/jipb.13214

Kebede A, Kang MS, Bekele E, 2019. Advances in mechanisms of drought tolerance in crops, with emphasis on barley. Adv Agron, 156:265-314. https://doi.org/10.1016/bs.agron.2019.01.008https://doi.org/10.1016/bs.agron.2019.01.008

Kershanskaya OI, Yessenbaeva GL, Nelidova DS, et al., 2022. CRISPR/Cas genome editing perspectives for barley breeding. Physiol Plant, 174(3):e13686. https://doi.org/10.1111/ppl.13686https://doi.org/10.1111/ppl.13686

Kim YA, Moon H, Park CJ, 2019. CRISPR/Cas9-targeted mutagenesis of Os8N3 in rice to confer resistance to Xanthomonas oryzae pv. oryzae. Rice, 12:67. https://doi.org/10.1186/s12284-019-0325-7https://doi.org/10.1186/s12284-019-0325-7

Kirono DGC, Round V, Heady C, et al., 2020. Drought projections for Australia: updated results and analysis of model simulations. Weather Climate Extremes, 30:100280. https://doi.org/10.1016/j.wace.2020.100280https://doi.org/10.1016/j.wace.2020.100280

Kloc Y, Dmochowska-Boguta M, Zielezinski A, et al., 2020. Silencing of HvGSK1.1‍‍―‍‍a GSK3/SHAGGY-like kinase―‍‍enhances barley (Hordeum vulgare L.) growth in normal and in salt stress conditions. Int J Mol Sci, 21(18):6616. https://doi.org/10.3390/ijms21186616https://doi.org/10.3390/ijms21186616

Kovalchuk N, Jia W, Eini O, et al., 2013. Optimization of TaDREB3 gene expression in transgenic barley using cold-inducible promoters. Plant Biotechnol J, 11(6):659-670. https://doi.org/10.1111/pbi.12056https://doi.org/10.1111/pbi.12056

Křenek P, Chubar E, Vadovič P, et al., 2021. CRISPR/Cas9-induced loss-of-function mutation in the barley mitogen-activated protein kinase 6 gene causes abnormal embryo development leading to severely reduced grain germination and seedling shootless phenotype. Front Plant Sci, 12:670302. https://doi.org/10.3389/fpls.2021.670302https://doi.org/10.3389/fpls.2021.670302

Kubiak A, Wolna-Maruwka A, Niewiadomska A, et al., 2022. The problem of weed infestation of agricultural plantations vs. the assumptions of the European biodiversity strategy. Agronomy, 12(8):1808. https://doi.org/10.3390/agronomy12081808https://doi.org/10.3390/agronomy12081808

Kumar P, Sahu NC, Kumar S, et al., 2021. Impact of climate change on cereal production: evidence from lower-middle-income countries. Environ Sci Pollut Res, 28(37):51597-51611. https://doi.org/10.1007/s11356-021-14373-9https://doi.org/10.1007/s11356-021-14373-9

Kurnaz L, 2014. Drought in Turkey. Istanbul Policy Center, Sabanci University, Istanbul. https://ipc.sabanciuniv.edu/Content/Images/CKeditorImages/20200323-16034498.pdfhttps://ipc.sabanciuniv.edu/Content/Images/CKeditorImages/20200323-16034498.pdf

Kuscu C, Parlak M, Tufan T, et al., 2017. CRISPR-STOP: gene silencing through base-editing-induced nonsense mutations. Nat Methods, 14(7):710-712. https://doi.org/10.1038/nmeth.4327https://doi.org/10.1038/nmeth.4327

Langholtz M, Davison BH, Jager HI, et al., 2021. Increased nitrogen use efficiency in crop production can provide economic and environmental benefits. Sci Total Environ, 758:143602. https://doi.org/10.1016/j.scitotenv.2020.143602https://doi.org/10.1016/j.scitotenv.2020.143602

Lawrenson T, Harwood WA, 2019. Creating targeted gene knockouts in barley using CRISPR/Cas9. In: Harwood WA (Ed.), Barley. Humana Press, New York, p.217-232. https://doi.org/10.1007/978-1-4939-8944-7_14https://doi.org/10.1007/978-1-4939-8944-7_14

Lawrenson T, Shorinola O, Stacey N, et al., 2015. Induction of targeted, heritable mutations in barley and Brassica oleracea using RNA-guided Cas9 nuclease. Genome Biol, 16:258. https://doi.org/10.1186/s13059-015-0826-7https://doi.org/10.1186/s13059-015-0826-7

Leong KYB, Chan YH, Abdullah WMANW, et al., 2018. The CRISPR/Cas9 system for crop improvement: progress and prospects. In: Çiftçi YÖ (Ed.), Next Generation Plant Breeding. IntechOpen, London, United Kingdom. https://doi.org/10.5772/intechopen.75024https://doi.org/10.5772/intechopen.75024

Li C, Zhang R, Meng XB, et al., 2020. Targeted, random mutagenesis of plant genes with dual cytosine and adenine base editors. Nat Biotechnol, 38(7):875-882. https://doi.org/10.1038/s41587-019-0393-7https://doi.org/10.1038/s41587-019-0393-7

Li W, Teng F, Li TD, et al., 2013. Simultaneous generation and germline transmission of multiple gene mutations in rat using CRISPR-Cas systems. Nat Biotechnol, 31(8):684-686. https://doi.org/10.1038/nbt.2652https://doi.org/10.1038/nbt.2652

Liang JJ, Deng GB, Long H, et al., 2012. Virus-induced silencing of genes encoding LEA protein in Tibetan hulless barley (Hordeum vulgare ssp. vulgare) and their relationship to drought tolerance. Mol Breed, 30(1):441-451. https://doi.org/10.1007/s11032-011-9633-3https://doi.org/10.1007/s11032-011-9633-3

Lin QP, Zong Y, Xue CX, et al., 2020. Prime genome editing in rice and wheat. Nat Biotechnol, 38(5):582-585. https://doi.org/10.1038/s41587-020-0455-xhttps://doi.org/10.1038/s41587-020-0455-x

Lin QP, Jin S, Zong Y, et al., 2021. High-efficiency prime editing with optimized, paired pegRNAs in plants. Nat Biotechnol, 39(8):923-927. https://doi.org/10.1038/s41587-021-00868-whttps://doi.org/10.1038/s41587-021-00868-w

Liu K, Harrison MT, Ibrahim A, et al., 2020a. Genetic factors increasing barley grain yields under soil waterlogging. Food Energy Secur, 9(4):e238. https://doi.org/10.1002/fes3.238https://doi.org/10.1002/fes3.238

Liu K, Harrison MT, Hunt J, et al., 2020b. Identifying optimal sowing and flowering periods for barley in Australia: a modelling approach. Agric For Meteorol, 282-283:107871. https://doi.org/10.1016/j.agrformet.2019.107871https://doi.org/10.1016/j.agrformet.2019.107871

Liu K, Harrison MT, Shabala S, et al., 2020c. The state of the art in modeling waterlogging impacts on plants: what do we know and what do we need to know. Earths Future, 8(12):e2020EF001801. https://doi.org/10.1029/2020EF001801https://doi.org/10.1029/2020EF001801

Liu K, Harrison MT, Archontoulis SV, et al., 2021. Climate change shifts forward flowering and reduces crop waterlogging stress. Environ Res Lett, 16(9):094017. https://doi.org/10.1088/1748-9326/ac1b5ahttps://doi.org/10.1088/1748-9326/ac1b5a

Liu K, Harrison MT, Yan HL, et al., 2023. Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates. Nat Commun, 14:765. https://doi.org/10.1038/s41467-023-36129-4https://doi.org/10.1038/s41467-023-36129-4

Llewellyn R, Ronning D, Ouzman J, et al., 2016. Impact of Weeds on Australian Grain Production: the Cost of Weeds to Australian Grain Growers and the Adoption of Weed Management and Tillage Practices. Technical Report No. EP161334, Grains Research and Development Corporation, Canberra, Australia. https://grdc.‍com.‍au/__data/assets/pdf_file/0027/75843/grdc_weeds_review_r8.pdf.pdfhttps://grdc.‍com.‍au/__data/assets/pdf_file/0027/75843/grdc_weeds_review_r8.pdf.pdf

Lowder LG, Zhou JP, Zhang YX, et al., 2018. Robust transcriptional activation in plants using multiplexed CRISPR-Act2.0 and mTALE-Act systems. Mol Plant, 11(2):245-256. https://doi.org/10.1016/j.molp.2017.11.010https://doi.org/10.1016/j.molp.2017.11.010

Lowe K, Wu E, Wang N, et al., 2016. Morphogenic regulators Baby boom and Wuschel improve monocot transformation. Plant Cell, 28(9):1998-2015. https://doi.org/10.1105/tpc.16.00124https://doi.org/10.1105/tpc.16.00124

Lu CQ, Tian HQ, 2017. Global nitrogen and phosphorus fertilizer use for agriculture production in the past half century: shifted hot spots and nutrient imbalance. Earth Syst Sci Data, 9(1):181-192. https://doi.org/10.5194/essd-9-181-2017https://doi.org/10.5194/essd-9-181-2017

Ma XN, Zhang XY, Liu HM, et al., 2020. Highly efficient DNA-free plant genome editing using virally delivered CRISPR-Cas9. Nat Plants, 6(7):773-779. https://doi.org/10.1038/s41477-020-0704-5https://doi.org/10.1038/s41477-020-0704-5

Mahajan G, Hickey L, Chauhan BS, 2020. Response of barley genotypes to weed interference in Australia. Agronomy, 10(1):99. https://doi.org/10.3390/agronomy10010099https://doi.org/10.3390/agronomy10010099

Maher MF, Nasti RA, Vollbrecht M, et al., 2020. Plant gene-editing through de novo induction of meristems. Nat Biotechnol, 38(1):84-89. https://doi.org/10.1038/s41587-019-0337-2https://doi.org/10.1038/s41587-019-0337-2

Manik SMN, Pengilley G, Dean G, et al., 2019. Soil and crop management practices to minimize the impact of waterlogging on crop productivity. Front Plant Sci, 10:140. https://doi.org/10.3389/fpls.2019.00140https://doi.org/10.3389/fpls.2019.00140

Manik SMN, Quamruzzaman M, Livermore M, et al., 2022. Impacts of barley root cortical aerenchyma on growth, physiology, yield components, and grain quality under field waterlogging conditions. Field Crops Res, 279:108461. https://doi.org/10.1016/j.fcr.2022.108461https://doi.org/10.1016/j.fcr.2022.108461

Manmathan H, Shaner D, Snelling J, et al., 2013. Virus-induced gene silencing of Arabidopsis thaliana gene homologues in wheat identifies genes conferring improved drought tolerance. J Exp Bot, 64(5):1381-1392. https://doi.org/10.1093/jxb/ert003https://doi.org/10.1093/jxb/ert003

Mao XD, Liu C, Tong H, et al., 2019. Principles of digital PCR and its applications in current obstetrical and gynecological diseases. Am J Transl Res, 11(12):7209-7222.

Markonis Y, Kumar R, Hanel M, et al., 2021. The rise of compound warm-season droughts in Europe. Sci Adv, 7(6):eabb9668. https://doi.org/10.1126/sciadv.abb9668https://doi.org/10.1126/sciadv.abb9668

Mascher M, Gundlach H, Himmelbach A, et al., 2017. A chromosome conformation capture ordered sequence of the barley genome. Nature, 544(7651):427-433. https://doi.org/10.1038/nature22043https://doi.org/10.1038/nature22043

Masud MB, McAllister T, Cordeiro MRC, et al., 2018. Modeling future water footprint of barley production in Alberta, Canada: implications for water use and yields to 2064. Sci Total Environ, 616-617:208-222. https://doi.org/10.1016/j.scitotenv.2017.11.004https://doi.org/10.1016/j.scitotenv.2017.11.004

Mayerová M, Madaras M, Soukup J, 2018. Effect of chemical weed control on crop yields in different crop rotations in a long-term field trial. Crop Protection, 114:215-222. https://doi.org/10.1016/j.cropro.2018.08.001https://doi.org/10.1016/j.cropro.2018.08.001

McCarty NS, Graham AE, Studená L, et al., 2020. Multiplexed CRISPR technologies for gene editing and transcriptional regulation. Nat Commun, 11:1281. https://doi.org/10.1038/s41467-020-15053-xhttps://doi.org/10.1038/s41467-020-15053-x

Mendiondo GM, Gibbs DJ, Szurman-Zubrzycka M, et al., 2016. Enhanced waterlogging tolerance in barley by manipulation of expression of the N-end rule pathway E3 ligase PROTEOLYSIS6. Plant Biotechnol J, 14(1):40-50. https://doi.org/10.1111/pbi.12334https://doi.org/10.1111/pbi.12334

Mian A, Oomen RJFJ, Isayenkov S, et al., 2011. Over-expression of an Na+-and K+-permeable HKT transporter in barley improves salt tolerance. Plant J, 68(3):468-479. https://doi.org/10.1111/j.1365-313X.2011.04701.xhttps://doi.org/10.1111/j.1365-313X.2011.04701.x

Mittler R, 2006. Abiotic stress, the field environment and stress combination. Trends Plant Sci, 11(1):15-19. https://doi.org/10.1016/j.tplants.2005.11.002https://doi.org/10.1016/j.tplants.2005.11.002

Monat C, Padmarasu S, Lux T, et al., 2019. TRITEX: chromosome-scale sequence assembly of Triticeae genomes with open-source tools. Genome Biol, 20:284. https://doi.org/10.1186/s13059-019-1899-5https://doi.org/10.1186/s13059-019-1899-5

Montilla-Bascón G, Rubiales D, Hebelstrup KH, et al., 2017. Reduced nitric oxide levels during drought stress promote drought tolerance in barley and is associated with elevated polyamine biosynthesis. Sci Rep, 7:13311. https://doi.org/10.1038/s41598-017-13458-1https://doi.org/10.1038/s41598-017-13458-1

Mookkan M, Nelson-Vasilchik K, Hague J, et al., 2017. Selectable marker independent transformation of recalcitrant maize inbred B73 and sorghum P898012 mediated by morphogenic regulators BABY BOOM and WUSCHEL2. Plant Cell Rep, 36(9):1477-1491. https://doi.org/10.1007/s00299-017-2169-1https://doi.org/10.1007/s00299-017-2169-1

Munns R, Tester M, 2008. Mechanisms of salinity tolerance. Annu Rev Plant Biol, 59:651-681. https://doi.org/10.1146/annurev.arplant.59.032607.092911https://doi.org/10.1146/annurev.arplant.59.032607.092911

Mwando E, Han Y, Angessa TT, et al., 2020. Genome-wide association study of salinity tolerance during germination in barley (Hordeum vulgare L.). Front Plant Sci, 11:118. https://doi.org/10.3389/fpls.2020.00118https://doi.org/10.3389/fpls.2020.00118

Mwendwa JM, Brown WB, Weston PA, et al., 2022. Evaluation of barley cultivars for competitive traits in Southern New South Wales. Plants, 11(3):362. https://doi.org/10.3390/plants11030362https://doi.org/10.3390/plants11030362

Naeem M, Farooq S, Hussain M, 2022. The impact of different weed management systems on weed flora and dry biomass production of barley grown under various barley-based cropping systems. Plants, 11(6):718. https://doi.org/10.3390/plants11060718https://doi.org/10.3390/plants11060718

Nagahatenna DSK, Parent B, Edwards EJ, et al., 2020. Barley plants overexpressing Ferrochelatases (HvFC1 and HvFC2) show improved photosynthetic rates and have reduced photo-oxidative damage under drought stress than non-transgenic controls. Agronomy, 10(9):1351. https://doi.org/10.3390/agronomy10091351https://doi.org/10.3390/agronomy10091351

Najera VA, Twyman RM, Christou P, et al., 2019. Applications of multiplex genome editing in higher plants. Curr Opin Biotechnol, 59:93-102. https://doi.org/10.1016/j.copbio.2019.02.015https://doi.org/10.1016/j.copbio.2019.02.015

Nefissi Ouertani R, Arasappan D, Abid G, et al., 2021. Transcriptomic analysis of salt-stress-responsive genes in barley roots and leaves. Int J Mol Sci, 22(15):8155. https://doi.org/10.3390/ijms22158155https://doi.org/10.3390/ijms22158155

Nejat N, 2022. Gene Editing of Elite Malting Barley Cultivar RGT Planet Using Agrobacterium-Mediated Delivery of CRISPR/Cas9. PhD Thesis, Murdoch University, Perth, Australia.

Nejat N, Han Y, Zhang XQ, et al., 2022. Swiftly evolving CRISPR genome editing: a revolution in genetic engineering for developing stress-resilient crops. Curr Chin Sci, 2(5):382-399. https://doi.org/10.2174/2210298102666220324112842https://doi.org/10.2174/2210298102666220324112842

Nonaka S, Arai C, Takayama M, et al., 2017. Efficient increase of γ-aminobutyric acid (GABA) content in tomato fruits by targeted mutagenesis. Sci Rep, 7:7057. https://doi.org/10.1038/s41598-017-06400-yhttps://doi.org/10.1038/s41598-017-06400-y

Oerke EC, 2006. Crop losses to pests. J Agric Sci, 144(1):‍31-43. https://doi.org/10.1017/S0021859605005708https://doi.org/10.1017/S0021859605005708

Office of the Auditor General-Western Australia, 2018. Management of Salinity (Report 8‒May 2018). Office of the Auditor General Western Australia, Perth, Australia. https://audit.‍wa.‍gov.‍au/wp-content/uploads/2018/05/report2018_08-Salinity-2.pdfhttps://audit.‍wa.‍gov.‍au/wp-content/uploads/2018/05/report2018_08-Salinity-2.pdf

Otkin JA, Svoboda M, Hunt ED, et al., 2018. Flash droughts: a review and assessment of the challenges imposed by rapid-onset droughts in the United States. Bull Amer Meteor Soc, 99(5):911-919. https://doi.org/10.1175/BAMS-D-17-0149.1https://doi.org/10.1175/BAMS-D-17-0149.1

Otkin JA, Zhong YF, Hunt ED, et al., 2021. Development of a flash drought intensity index. Atmosphere, 12(6):741. https://doi.org/10.3390/atmos12060741https://doi.org/10.3390/atmos12060741

Pan R, Ding MQ, Feng ZB, et al., 2022. HvGST4 enhances tolerance to multiple abiotic stresses in barley: evidence from integrated meta-analysis to functional verification. Plant Physiol Biochem, 188:47-59. https://doi.org/10.1016/j.plaphy.2022.07.027https://doi.org/10.1016/j.plaphy.2022.07.027

Parker T, Gallant A, Hobbins M, et al., 2021. Flash drought in Australia and its relationship to evaporative demand. Environ Res Lett, 16(6):064033. https://doi.org/10.1088/1748-9326/abfe2chttps://doi.org/10.1088/1748-9326/abfe2c

Paynter BH, Hills AL, 2009. Barley and rigid ryegrass (Lolium rigidum) competition is influenced by crop cultivar and density. Weed Technol, 23(1):40-48. https://doi.org/10.1614/WT-08-093.1https://doi.org/10.1614/WT-08-093.1

Pellegrino E, Bedini S, Nuti M, et al., 2018. Impact of genetically engineered maize on agronomic, environmental and toxicological traits: a meta-analysis of 21 years of field data. Sci Rep, 8:3113. https://doi.org/10.1038/s41598-018-21284-2https://doi.org/10.1038/s41598-018-21284-2

Peterson BA, Haak DC, Nishimura MT, et al., 2016. Genome-wide assessment of efficiency and specificity in CRISPR/Cas9 mediated multiple site targeting in Arabidopsis. PLoS ONE, 11(9):e0162169. https://doi.org/10.1371/journal.pone.0162169https://doi.org/10.1371/journal.pone.0162169

Qadir M, Quillérou E, Nangia V, et al., 2014. Economics of salt‐induced land degradation and restoration. Nat Resour Forum, 38(4):282-295. https://doi.org/10.1111/1477-8947.12054https://doi.org/10.1111/1477-8947.12054

Ren BZ, Ma ZT, Zhao B, et al., 2022. Nitrapyrin mitigates nitrous oxide emissions, and improves maize yield and nitrogen efficiency under waterlogged field. Plants, 11(15):1983. https://doi.org/10.3390/plants11151983https://doi.org/10.3390/plants11151983

Ren C, Li HY, Liu YF, et al., 2022. Highly efficient activation of endogenous gene in grape using CRISPR/dCas9-based transcriptional activators. Hortic Res, 9:uhab037. https://doi.org/10.1093/hr/uhab037https://doi.org/10.1093/hr/uhab037

Rengasamy P, 2006. World salinization with emphasis on Australia. J Exp Bot, 57(5):1017-1023. https://doi.org/10.1093/jxb/erj108https://doi.org/10.1093/jxb/erj108

Rengasamy P, Chittleborough D, Helyar K, 2003. Root-zone constraints and plant-based solutions for dryland salinity. Plant Soil, 257(2):249-260. https://doi.org/10.1023/A:1027326424022https://doi.org/10.1023/A:1027326424022

Rukhovich DI, Simakova MS, Kulyanitsa AL, et al., 2014. Impact of shelterbelts on the fragmentation of erosional networks and local soil waterlogging. Eurasian Soil Sci, 47(11):1086-1099. https://doi.org/10.1134/S106422931411009Xhttps://doi.org/10.1134/S106422931411009X

Safonov G, Safonova Y, 2013. Economic Analysis of the Impact of Climate Change on Agriculture in Russia: National and Regional Aspects. Oxfam Research Reports, Oxfam International House, Oxford. https://doi.org/10.1163/2210-7975_hrd-9824-3045https://doi.org/10.1163/2210-7975_hrd-9824-3045

Samson J, Berteaux D, McGill BJ, et al., 2011. Geographic disparities and moral hazards in the predicted impacts of climate change on human populations. Glob Ecol Biogeogr, 20(4):532-544. https://doi.org/10.1111/j.1466-8238.2010.00632.xhttps://doi.org/10.1111/j.1466-8238.2010.00632.x

Schmitt J, Offermann F, Söder M, et al., 2022. Extreme weather events cause significant crop yield losses at the farm level in German agriculture. Food Policy, 112:102359. https://doi.org/10.1016/j.foodpol.2022.102359https://doi.org/10.1016/j.foodpol.2022.102359

Schreiber M, Mascher M, Wright J, et al., 2020. A genome assembly of the barley ‘transformation reference’ cultivar golden promise. G3-Genes Genom Genet, 10(6):1823-1827. https://doi.org/10.1534/g3.119.401010https://doi.org/10.1534/g3.119.401010

Setter TL, Waters I, 2003. Review of prospects for germplasm improvement for waterlogging tolerance in wheat, barley and oats. Plant Soil, 253(1):1-34. https://doi.org/10.1023/A:1024573305997https://doi.org/10.1023/A:1024573305997

Shimatani Z, Kashojiya S, Takayama M, et al., 2017. Targeted base editing in rice and tomato using a CRISPR-Cas9 cytidine deaminase fusion. Nat Biotechnol, 35(5):441-443. https://doi.org/10.1038/nbt.3833https://doi.org/10.1038/nbt.3833

Sivamani E, Bahieldin A, Wraith JM, et al., 2000. Improved biomass productivity and water use efficiency under water deficit conditions in transgenic wheat constitutively expressing the barley HVA1 gene. Plant Sci, 155(1):1-9. https://doi.org/10.1016/S0168-9452(99)00247-2https://doi.org/10.1016/S0168-9452(99)00247-2

Smargon AA, Cox DBT, Pyzocha NK, et al., 2017. Cas13b is a type VI-B CRISPR-associated RNA-guided RNase differentially regulated by accessory proteins Csx27 and Csx28. Mol Cell, 65(4):618-630.e7. https://doi.org/10.1016/j.molcel.2016.12.023https://doi.org/10.1016/j.molcel.2016.12.023

Sorokin A, Bryzzhev A, Strokov A, et al., 2016. The economics of land degradation in Russia. In: Nkonya E, Mirzabaev A, von Braun J (Eds.), Economics of Land Degradation and Improvement—A Global Assessment for Sustainable Development. Springer, Cham, p.541-576. https://doi.org/10.1007/978-3-319-19168-3_18https://doi.org/10.1007/978-3-319-19168-3_18

Stahl K, Kohn I, Blauhut V, et al., 2016. Impacts of European drought events: insights from an international database of text-based reports. Nat Hazards Earth Syst Sci, 16(3):801-819. https://doi.org/10.5194/nhess-16-801-2016https://doi.org/10.5194/nhess-16-801-2016

Statista, 2022a. Major Barley Producers Worldwide in 2021/2022, by Country. https://www.‍statista.‍com/statistics/272760/barley-harvest-forecasthttps://www.‍statista.‍com/statistics/272760/barley-harvest-forecast

Statista, 2022b. Worldwide Production of Grain in 2021/22, by Type. https://www.‍statista.‍com/statistics/263977/world-grain-production-by-typehttps://www.‍statista.‍com/statistics/263977/world-grain-production-by-type

Sun HY, Chen ZH, Chen F, et al., 2015. DNA microarray revealed and RNAi plants confirmed key genes conferring low Cd accumulation in barley grains. BMC Plant Biol, 15:259. https://doi.org/10.1186/s12870-015-0648-5https://doi.org/10.1186/s12870-015-0648-5

Talamè V, Ozturk NZ, Bohnert HJ, et al., 2007. Barley transcript profiles under dehydration shock and drought stress treatments: a comparative analysis. J Exp Bot, 58(2):229-240. https://doi.org/10.1093/jxb/erl163https://doi.org/10.1093/jxb/erl163

Taleisnik E, Lavado RS, 2021. Saline and Alkaline Soils in Latin America. Springer, Cham, Germany. https://doi.org/10.1007/978-3-030-52592-7https://doi.org/10.1007/978-3-030-52592-7

Tello-Ruiz MK, Jaiswal P, Ware D, 2022. Gramene: a resource for comparative analysis of plants genomes and pathways. In: Edwards D (Ed.), Plant Bioinformatics. Humana, New York, p.101-131. https://doi.org/10.1007/978-1-0716-2067-0_5https://doi.org/10.1007/978-1-0716-2067-0_5

Tian LX, Zhang YC, Chen PL, et al., 2021. How does the waterlogging regime affect crop yield? A global meta-analysis. Front Plant Sci, 12:634898. https://doi.org/10.3389/fpls.2021.634898https://doi.org/10.3389/fpls.2021.634898

Tian SW, Jiang LJ, Cui XX, et al., 2018. Engineering herbicide-resistant watermelon variety through CRISPR/Cas9-mediated base-editing. Plant Cell Rep, 37(9):1353-1356. https://doi.org/10.1007/s00299-018-2299-0https://doi.org/10.1007/s00299-018-2299-0

Tommasini L, Svensson JT, Rodriguez EM, et al., 2008. Dehydrin gene expression provides an indicator of low temperature and drought stress: transcriptome-based analysis of barley (Hordeum vulgare L.). Funct Integr Genomics, 8(4):387-405. https://doi.org/10.1007/s10142-008-0081-zhttps://doi.org/10.1007/s10142-008-0081-z

Trade Map, 2022. Trade Statistics for International Business Development. https://www.‍trademap.‍org/Index.‍aspxhttps://www.‍trademap.‍org/Index.‍aspx

Tricase C, Amicarelli V, Lamonaca E, et al., 2018. Economic analysis of the barley market and related uses. In: Tadele Z (Ed.), Grasses as Food and Feed. IntechOpen, London, United Kingdom.

Twining S, 2014. Impact of 2014 Winter Floods on Agriculture in England. ADAS Ltd., UK. https://assets.‍publishing.service.‍gov.‍uk/government/uploads/system/uploads/attachment_data/file/401235/RFI7086_Flood_Impacts_Report__2_.pdfhttps://assets.‍publishing.service.‍gov.‍uk/government/uploads/system/uploads/attachment_data/file/401235/RFI7086_Flood_Impacts_Report__2_.pdf

Ullah A, Bano A, Khan N, 2021. Climate change and salinity effects on crops and chemical communication between plants and plant growth-promoting microorganisms under stress. Front Sustain Food Syst, 5:618092. https://doi.org/10.3389/fsufs.2021.618092https://doi.org/10.3389/fsufs.2021.618092

Umezawa T, Fujita M, Fujita Y, et al., 2006. Engineering drought tolerance in plants: discovering and tailoring genes to unlock the future. Curr Opin Biotechnol, 17(2):113-122. https://doi.org/10.1016/j.copbio.2006.02.002https://doi.org/10.1016/j.copbio.2006.02.002

USDA-FAS-IPAD (United States Department of Agriculture, Foreign Agricultural Service, International Production Assessment Division), 2022. Crop Production Maps. United States Government. https://ipad.‍fas.‍usda.‍gov/ogamaps/cropproductionmaps.aspxhttps://ipad.‍fas.‍usda.‍gov/ogamaps/cropproductionmaps.aspx

van Dijk M, Morley T, Rau ML, et al., 2021. A meta-analysis of projected global food demand and population at risk of hunger for the period 2010‒2050. Nat Food, 2(7):494-501. https://doi.org/10.1038/s43016-021-00322-9https://doi.org/10.1038/s43016-021-00322-9

van Veelen B, 2021. Cash cows? Assembling low-carbon agriculture through green finance. Geoforum, 118:130-139. https://doi.org/10.1016/j.geoforum.2020.12.008https://doi.org/10.1016/j.geoforum.2020.12.008

Velasco‐Arroyo B, Diaz‐Mendoza M, Gomez‐Sanchez A, et al., 2018. Silencing barley cystatins HvCPI‐2 and HvCPI‐4 specifically modifies leaf responses to drought stress. Plant Cell Environ, 41(8):1776-1790. https://doi.org/10.1111/pce.13178https://doi.org/10.1111/pce.13178

Visioni A, Al-Abdallat A, Elenien JA, et al., 2019. Genomics and molecular breeding for improving tolerance to abiotic stress in barley (Hordeum vulgare L.). In: Rajpal VR, Sehgal D, Kumar A, et al. (Eds.), Genomics Assisted Breeding of Crops for Abiotic Stress Tolerance, Vol. II. Springer, Cham, p.49-68. https://doi.org/10.1007/978-3-319-99573-1https://doi.org/10.1007/978-3-319-99573-1

Vlčko T, Ohnoutková L, 2020. Allelic variants of CRISPR/Cas9 induced mutation in an inositol trisphosphate 5/6 kinase gene manifest different phenotypes in barley. Plants, 9(2):195. https://doi.org/10.3390/plants9020195https://doi.org/10.3390/plants9020195

Wada N, Ueta R, Osakabe Y, et al., 2020. Precision genome editing in plants: state-of-the-art in CRISPR/Cas9-based genome engineering. BMC Plant Biol, 20:234. https://doi.org/10.1186/s12870-020-02385-5https://doi.org/10.1186/s12870-020-02385-5

Wan Y, Lemaux PG, 1994. Generation of large numbers of independently transformed fertile barley plants. Plant Physiol, 104(1):37-48. https://doi.org/10.1104/pp.104.1.37https://doi.org/10.1104/pp.104.1.37

Wang J, Vanga SK, Saxena R, et al., 2018. Effect of climate change on the yield of cereal crops: a review. Climate, 6(2):41. https://doi.org/10.3390/cli6020041https://doi.org/10.3390/cli6020041

Wang K, Shi L, Liang XN, et al., 2022. The gene TaWOX5 overcomes genotype dependency in wheat genetic transformation. Nat Plants, 8(2):110-117. https://doi.org/10.1038/s41477-021-01085-8https://doi.org/10.1038/s41477-021-01085-8

Wang WQ, Zhang GQ, Yang SL, et al., 2021. Overexpression of isochorismate synthase enhances drought tolerance in barley. J Plant Physiol, 260:153404. https://doi.org/10.1016/j.jplph.2021.153404https://doi.org/10.1016/j.jplph.2021.153404

Wani SH, Kumar V, Khare T, et al., 2020. Engineering salinity tolerance in plants: progress and prospects. Planta, 251(4):76. https://doi.org/10.1007/s00425-020-03366-6https://doi.org/10.1007/s00425-020-03366-6

Wardlaw IF, Wrigley CW, 1994. Heat tolerance in temperate cereals: an overview. Aust J Plant Physiol, 21(6):695-703. https://doi.org/10.1071/PP9940695https://doi.org/10.1071/PP9940695

Wolfe D, Dudek S, Ritchie MD, et al., 2013. Visualizing genomic information across chromosomes with PhenoGram. BioData Min, 6:18. https://doi.org/10.1186/1756-0381-6-18https://doi.org/10.1186/1756-0381-6-18

Xie W, Xiong W, Pan J, et al., 2018. Decreases in global beer supply due to extreme drought and heat. Nat Plants, 4(11):964-973. https://doi.org/10.1038/s41477-018-0263-1https://doi.org/10.1038/s41477-018-0263-1

Xing HL, Dong L, Wang ZP, et al., 2014. A CRISPR/Cas9 toolkit for multiplex genome editing in plants. BMC Plant Biol, 14:327. https://doi.org/10.1186/s12870-014-0327-yhttps://doi.org/10.1186/s12870-014-0327-y

Xiong XY, Li ZX, Liang JP, et al., 2022. A cytosine base editor toolkit with varying activity windows and target scopes for versatile gene manipulation in plants. Nucleic Acids Res, 50(6):3565-3580. https://doi.org/10.1093/nar/gkac166https://doi.org/10.1093/nar/gkac166

Xu RF, Li J, Liu XS, et al., 2020. Development of plant prime-editing systems for precise genome editing. Plant Commun, 1(3):100043. https://doi.org/10.1016/j.xplc.2020.100043https://doi.org/10.1016/j.xplc.2020.100043

Yan HL, Harrison MT, Liu K, et al., 2022. Crop traits enabling yield gains under more frequent extreme climatic events. Sci Total Environ, 808:152170. https://doi.org/10.1016/j.scitotenv.2021.152170https://doi.org/10.1016/j.scitotenv.2021.152170

Yan M, Pan GX, Lavallee JM, et al., 2020. Rethinking sources of nitrogen to cereal crops. Glob Chang Biol, 26(1):191-199. https://doi.org/10.1111/gcb.14908https://doi.org/10.1111/gcb.14908

Yang SH, Kim E, Park H, et al., 2022. Selection of the high efficient sgRNA for CRISPR-Cas9 to edit herbicide related genes, PDS, ALS, and EPSPS in tomato. Appl Biol Chem, 65:13. https://doi.org/10.1186/s13765-022-00679-whttps://doi.org/10.1186/s13765-022-00679-w

Yavas I, Unay A, Aydin M, 2012. The waterlogging tolerance of wheat varieties in western of Turkey. Sci World J, 2012:529128. https://doi.org/10.1100/2012/529128https://doi.org/10.1100/2012/529128

Zahra N, Hafeez MB, Shaukat K, et al., 2021. Hypoxia and anoxia stress: plant responses and tolerance mechanisms. J Agron Crop Sci, 207(2):249-284. https://doi.org/10.1111/jac.12471https://doi.org/10.1111/jac.12471

Zaidi SSEA, Mahfouz MM, Mansoor S, 2017. CRISPR-Cpf1: a new tool for plant genome editing. Trends Plant Sci, 22(7):550-553. https://doi.org/10.1016/j.tplants.2017.05.001https://doi.org/10.1016/j.tplants.2017.05.001

Zaman M, Shahid SA, Heng L, 2018. Guideline for Salinity Assessment, Mitigation and Adaptation Using Nuclear and Related Techniques. Springer, Cham, Germany. https://doi.org/10.1007/978-3-319-96190-3https://doi.org/10.1007/978-3-319-96190-3

Zang YM, Gong Q, Xu YH, et al., 2022. Production of conjoined transgenic and edited barley and wheat plants for Nud genes using the CRISPR/SpCas9 system. Front Genet, 13:873850. https://doi.org/10.3389/fgene.2022.873850https://doi.org/10.3389/fgene.2022.873850

Zeng ZH, Han N, Liu CC, et al., 2020. Functional dissection of HGGT and HPT in barley vitamin E biosynthesis via CRISPR/Cas9-enabled genome editing. Ann Bot, 126(5):929-942. https://doi.org/10.1093/aob/mcaa115https://doi.org/10.1093/aob/mcaa115

Zhang JH, Zhang HT, Li SY, et al., 2021. Increasing yield potential through manipulating of an ARE1 ortholog related to nitrogen use efficiency in wheat by CRISPR/Cas9. J Integr Plant Biol, 63(9):1649-1663. https://doi.org/10.1111/jipb.13151https://doi.org/10.1111/jipb.13151

Zhong YX, Blennow A, Kofoed-Enevoldsen O, et al., 2019. Protein Targeting to Starch 1 is essential for starchy endosperm development in barley. J Exp Bot, 70(2):485-496. https://doi.org/10.1093/jxb/ery398https://doi.org/10.1093/jxb/ery398

Zhou GF, Delhaize E, Zhou MX, et al., 2013. The barley MATE gene, HvAACT1, increases citrate efflux and Al3+ tolerance when expressed in wheat and barley. Ann Bot, 112(3):603-612. https://doi.org/10.1093/aob/mct135https://doi.org/10.1093/aob/mct135

Zhou GF, Broughton S, Zhang XQ, et al., 2016. Genome-wide association mapping of acid soil resistance in barley (Hordeum vulgare L.). Front Plant Sci, 7:406. https://doi.org/10.3389/fpls.2016.00406https://doi.org/10.3389/fpls.2016.00406

Zhu HC, Li C, Gao CX, 2020. Applications of CRISPR-Cas in agriculture and plant biotechnology. Nat Rev Mol Cell Biol, 21(11):661-677. https://doi.org/10.1038/s41580-020-00288-9https://doi.org/10.1038/s41580-020-00288-9

Zhu HD, 2005. Single-strand conformational polymorphism analysis: basic principles and routine practice. In: Fennell JP, Baker AH (Eds.), Hypertension. Humana Press, Humana Totowa, p.149-158. https://doi.org/10.1385/1-59259-850-1:149https://doi.org/10.1385/1-59259-850-1:149