Minimizing trade-offs between wheat yield and resource-use efficiency in the Nile Delta – A multi-model analysis
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Addinsoft, S.X.V., 2015. XLSTAT 2015: Data analysis and statistical solution for microsoft excel. ADDINSOFT Corporation Paris, France.
Ali, 2022, Optimizing sowing window, cultivar choice, and plant density to boost maize yield under RCP8.5 climate scenario of CMIP5, Int. J. Biometeorol., 10.1007/s00484-022-02253-x
Ali, 2008, Increasing water productivity in crop production—a synthesis, Agric. Water Manag., 95, 1201, 10.1016/j.agwat.2008.06.008
Asseng, 2015, Rising temperatures reduce global wheat production, Nat. Clim. Change, 5, 143, 10.1038/nclimate2470
Asseng, 2020, Wheat yield potential in controlled-environment vertical farms, Proc. Natl. Acad. Sci., 117, 19131, 10.1073/pnas.2002655117
Asseng, 2018, Can Egypt become self-sufficient in wheat?, Environ. Res. Lett., 13, 10.1088/1748-9326/aada50
Attia, 2021, Evaluating deficit irrigation scheduling strategies to improve yield and water productivity of maize in arid environment using simulation, Agric. Water Manag., 249, 10.1016/j.agwat.2021.106812
Basso, 2016, A comprehensive review of the CERES-Wheat, -Maize and -Rice models’ performances. In: Donald, L.S. (Ed.), Adv. Agron., 27, 10.1016/bs.agron.2015.11.004
Boote, 1999, Concepts for calibrating crop growth models, DSSAT Version, 3, 179
Brisson, 2003, An overview of the crop model STICS, Eur. J. Agron., 18, 309, 10.1016/S1161-0301(02)00110-7
Davidson, 2015, More food, low pollution (Mo Fo Lo Po): a grand challenge for the 21st century, J. Environ. Qual., 44, 305, 10.2134/jeq2015.02.0078
Di Paolo, 2008, Yield response of corn to irrigation and nitrogen fertilization in a Mediterranean environment, Field Crops Res., 105, 202, 10.1016/j.fcr.2007.10.004
Ding, 2021, Modeling the combined impacts of deficit irrigation, rising temperature and compost application on wheat yield and water productivity, Agric. Water Manag., 244, 10.1016/j.agwat.2020.106626
Ding, 2020, The integrated effect of salinity, organic amendments, phosphorus fertilizers, and deficit irrigation on soil properties, phosphorus fractionation and wheat productivity, Sci. Rep., 10, 2736, 10.1038/s41598-020-59650-8
Du, 2019, Yield and gas exchange of greenhouse tomato at different nitrogen levels under aerated irrigation, Sci. Total Environ., 668, 1156, 10.1016/j.scitotenv.2019.03.098
Du, 2018, Crop yield and water use efficiency under aerated irrigation: A meta-analysis, Agric. Water Manag., 210, 158, 10.1016/j.agwat.2018.07.038
Du, 2018, Effects of nitrogen on soil microbial abundance, enzyme activity, and nitrogen use efficiency in greenhouse celery under aerated irrigation, Soil Sci. Soc. Am. J., 82, 606, 10.2136/sssaj2017.11.0377
Du, 2021, A synthetic analysis of the effect of water and nitrogen inputs on wheat yield and water- and nitrogen-use efficiencies in China, Field Crops Res., 265, 10.1016/j.fcr.2021.108105
FAO, 2005
Feike, 2015, Development of agricultural land and water use and its driving forces along the Aksu and Tarim River, P.R. China, Environ. Earth Sci., 73, 517, 10.1007/s12665-014-3108-x
Foley, 2011, Solutions for a cultivated planet, Nature, 478, 337, 10.1038/nature10452
Gaydon, 2021, Tweaking Pakistani Punjab rice-wheat management to maximize productivity within nitrate leaching limits, Field Crops Res., 260, 10.1016/j.fcr.2020.107964
Gholamhoseini, 2013, Interactions of irrigation, weed and nitrogen on corn yield, nitrogen use efficiency and nitrate leaching, Agric. Water Manag., 126, 9, 10.1016/j.agwat.2013.05.002
Giupponi, 2018, Spatial assessment of water use efficiency (SDG Indicator 6.4.1) for regional policy support, Front. Environ. Sci., 6, 141, 10.3389/fenvs.2018.00141
Godwin, 1998, Nitrogen balance and crop response to nitrogen in upland and lowland cropping systems, 55
Gonzalez-Dugo, 2010, Water deficit and nitrogen nutrition of crops. A review, Agron. Sustain. Dev., 30, 529, 10.1051/agro/2009059
Guo, 2010, Significant acidification in major chinese croplands, Science, 327, 1008, 10.1126/science.1182570
Hatfield, 2001, Managing soils to achieve greater water use efficiency, Agron. J., 93, 271, 10.2134/agronj2001.932271x
Hikosaka, 2016, A meta-analysis of leaf nitrogen distribution within plant canopies, Ann. Bot., 118, 239, 10.1093/aob/mcw099
Holzworth, 2014, APSIM – evolution towards a new generation of agricultural systems simulation, Environ. Model. Softw., 62, 327, 10.1016/j.envsoft.2014.07.009
Hoogenboom, G., 2021. The application of crop modeling for irrigation and water management. ASABE Paper Number 20–084. In: 6th Decennial National Irrigation Symposium Proceedings. American Society of Agricultural and Biological Engineering St. Joseph, MI 49085–9659. DOI: 〈https://doi.org/10.13031/irrig.2020–084〉.
Hoogenboom, 2019, The DSSAT crop modeling ecosystem, 173
Hoogenboom, G., Porter, C.H., Shelia, V., Boote, K.J., Singh, U., White, J.W., Hunt, L.A., Ogoshi, R., Lizaso, J.I., Koo, J., Asseng, S., Singels, A., Moreno, L.P., Jones, J.W., 2019b. Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.7.5 (https://DSSAT.net). DSSAT Foundation, Gainesville, Florida, USA.
Huang, 2021, Solar radiation utilization characteristics of double-season rice in China, Agron. J., 113, 270, 10.1002/agj2.20511
Hunt, 1995, Cropsim-Wheat: a model describing the growth and development of wheat, Can. J. Pl. Sci., 75, 619, 10.4141/cjps95-107
Jacovides, 1995, Statistical procedures for the evaluation of evapotranspiration computing models, Agric. Water Manag., 27, 365, 10.1016/0378-3774(95)01152-9
Jones, 2003, The DSSAT cropping system model, Eur. J. Agron., 18, 235, 10.1016/S1161-0301(02)00107-7
Jones, 2003, The DSSAT cropping system model?, Eur. J. Agron., 18, 235, 10.1016/S1161-0301(02)00107-7
Kassie, 2016, Performance of DSSAT-Nwheat across a wide range of current and future growing conditions, Eur. J. Agron., 81, 27, 10.1016/j.eja.2016.08.012
Keating, 2003, An overview of APSIM: a model designed for farming systems simulation, Eur. J. Agron., 18, 267, 10.1016/S1161-0301(02)00108-9
Khaliq, 2019, Analyzing crop yield gaps and their causes using cropping systems modelling–A case study of the Punjab rice-wheat system, Pakistan, Field Crops Res., 232, 119, 10.1016/j.fcr.2018.12.010
Kheir, 2020, Experimental and simulated wheat data from across a temperature gradient along the River Nile in Egypt, Open Data J. Agric. Res., 6
Kheir, 2021, Recycling of sugar crop disposal to boost the adaptation of canola (Brassica napus L.) to abiotic stress through different climate zones, J. Environ. Manag., 281, 10.1016/j.jenvman.2020.111881
Kheir, 2021, Calibration and validation of AQUACROP and APSIM models to optimize wheat yield and water saving in arid regions, Land, 10, 10.3390/land10121375
Kheir, 2020, Wheat crop modelling for higher production
Kheir, 2019, Impacts of rising temperature, carbon dioxide concentration and sea level on wheat production in North Nile delta, Sci. Total Environ., 651, 3161, 10.1016/j.scitotenv.2018.10.209
Li, 2015, Effect of nitrogen fertilization under plastic mulched and non-plastic mulched conditions on water use by maize plants in dryland areas of China, Agric. Water Manag., 162, 15, 10.1016/j.agwat.2015.08.004
Li, 2016, Irrigation water productivity is more influenced by agronomic practice factors than by climatic factors in Hexi Corridor, Northwest China, Sci. Rep., 6, 37971, 10.1038/srep37971
Loague, 1991, Statistical and graphical methods for evaluating solute transport models: overview and application, J. Contam. Hydrol., 7, 51, 10.1016/0169-7722(91)90038-3
Ma, 2009, Effects of estimating soil hydraulic properties and root growth factor on soil water balance and crop production, Agron. J., 101, 572, 10.2134/agronj2008.0206x
Malik, 2019, DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions, Agric. Water Manag., 216, 27, 10.1016/j.agwat.2019.01.017
Martre, 2015, Multimodel ensembles of wheat growth: many models are better than one, Glob. Change Biol., 21, 911, 10.1111/gcb.12768
Moriasi, 2007, Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Trans. ASABE, 50, 885, 10.13031/2013.23153
Mozafari, 2018, Application of iron nanoparticles and salicylic acid in in vitro culture of strawberries (Fragaria × ananassa Duch.) to cope with drought stress, Plant Cell, Tissue Organ Cult. (PCTOC), 132, 511, 10.1007/s11240-017-1347-8
Mueller, 2012, Closing yield gaps through nutrient and water management, Nature, 490, 254, 10.1038/nature11420
Pradhan, 2018, Radiation interception, extinction coefficient and use efficiency of wheat crop at various irrigation and nitrogen levels in a semi-arid location, Indian J. Plant Physiol., 23, 416, 10.1007/s40502-018-0400-x
Qi, 2020, Effects of nitrogen application rates and irrigation regimes on grain yield and water use efficiency of maize under alternate partial root-zone irrigation, J. Integr. Agric., 19, 2792, 10.1016/S2095-3119(20)63205-1
Rathore, 2017, Yield, water and nitrogen use efficiencies of sprinkler irrigated wheat grown under different irrigation and nitrogen levels in an arid region, Agric. Water Manag., 187, 232, 10.1016/j.agwat.2017.03.031
Ritchie, 1989, CERES-Wheat: A user oriented wheat yield model. Preliminary documentation. AGRISTARS Publication No. YM-U3-04442-JSC-18892: East Lansing, Michigan, 252
Sandaña, 2012, Radiation interception and radiation use efficiency of wheat and pea under different P availabilities, Field Crops Res., 127, 44, 10.1016/j.fcr.2011.11.005
Sinclair, 2012, Nitrogen and water resources commonly limit crop yield increases, not necessarily plant genetics, Glob. Food Secur., 1, 94, 10.1016/j.gfs.2012.07.001
Singh, 2010, Deficit irrigation and nitrogen effects on seed cotton yield, water productivity and yield response factor in shallow soils of semi-arid environment, Agric. Water Manag., 97, 965, 10.1016/j.agwat.2010.01.028
Smirnov, 2016, The relative importance of climate change and population growth for exposure to future extreme droughts, Clim. Change, 138, 41, 10.1007/s10584-016-1716-z
Stöckle, 2009, Chapter 7 - Crop Radiation Capture and Use Efficiency: A Framework for Crop Growth Analysis, 145
Sun, 2011, Optimization of yield and water-use of different cropping systems for sustainable groundwater use in North China Plain, Agric. Water Manag., 98, 808, 10.1016/j.agwat.2010.12.007
Thornton, 2014, Climate variability and vulnerability to climate change: a review, Glob. Change Biol., 20, 3313, 10.1111/gcb.12581
Tovihoudji, 2019, Using the DSSAT Model to Support Decision Making Regarding Fertilizer Microdosing for Maize Production in the Sub-humid Region of Benin, Front. Environ. Sci., 7, 13, 10.3389/fenvs.2019.00013
Wang, 2012, Validation of the EPIC model and its utilization to research the sustainable recovery of soil desiccation after alfalfa (Medicago sativa L.) by grain crop rotation system in the semi-humid region of the Loess Plateau, Agric. Ecosyst. Environ., 161, 152, 10.1016/j.agee.2012.07.013
Willmott, 1984, On the Evaluation of Model Performance in Physical Geography, 40
Xiao, 2014, Contributions of cultivars, management and climate change to winter wheat yield in the North China Plain in the past three decades, Eur. J. Agron., 52, 112, 10.1016/j.eja.2013.09.020
Zhang, 2022, A nitrogen fertilizer strategy for simultaneously increasing wheat grain yield and protein content: Mixed application of controlled-release urea and normal urea, Field Crops Res., 277, 10.1016/j.fcr.2021.108405