Improving the Simplace Modelling Framework for Sunflower Simulation under Salt Stress.

WZ Zeng; T Ma; GQ Lei; YH Fang; YG Zhang; YY Zha; JW Wu; JS Huang

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Improving the Simplace Modelling Framework for Sunflower Simulation under Salt Stress.

Author(s)

WZ Zeng State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China: Crop Science Group, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Katzenburgweg 5, D-53115 Bonn, Germany: State Key Laboratory of Simulation and Regulation of the Water Cycle in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, P.R. China

T Ma State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

GQ Lei State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

YH Fang State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China

YG Zhang Department of Hydrology and Water Resources, The University of Arizona, Tucson, Arizona, 85721, USADepartment of Soil, Water and Environmental Science, The University of Arizona, Tucson, Arizona, 85721, USA

YY Zha State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

JW Wu State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

JS Huang State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

Abstract

Soil salinization is a major environmental challenge for crop growth. To monitoring salt stress in crops and benefit agricultural managements, SIMPLACE Modelling Framework was improved by modifying (i) water stress coefficient (TRANRF); (ii) radiation use efficiency (RUE); (iii) specific leaf area (SLA) and (iv) both RUE and SLA. The improved model was calibrated and validated using two years field trial data of sunflower collected at the Yichang experimental station in Hetao Irrigation District (HTD), Inner Mongolia, China. Sunflowers were planted in six salt affected plots and the salinity levels were denoted as saturated electrical conductivity (ECe). Crop characteristics included biomass and leaf area index (LAI) were measured several times during the growth period. We firstly obtained the TRANRF, RUE, and SLA for sunflower in potential conditions and then modified the TRANRF and scale factors of RUE and SLA (designated by prefix S to indicate SRUE and SSLA) to fit the measurements respectively. Results indicated that all these modifications could give relative accurate simulations for biomass and LAI but modifying SRUE and SSLA together gave us the most accurate predictions. Meanwhile, the simulation accuracy also varied with target variables, with more accurate biomass simulation by employing biomass as a target variable, and vice versa. In addition, we averaged the SRUE and SSLA results by using biomass and LAI as target variables respectively to balance the simulation accuracy and found that the averaged SRUE and SSLA results could obtain both acceptable biomass (RMSE=56.4-205.3 g·m-2) and LAI (RMSE=0.44-1.47) simulations. In addition, SRUE and SSLA had linear relationship with soil salt (ECe) and natural logarithm of ECe respectively. Meanwhile, using ECe of 0-10 cm depth could obtain higher accuracy for both biomass (averaged RMSE=268.6 g·m-2 vs 274.9 g·m-2) and LAI (averaged RMSE=1.89 vs 1.95) predictions of sunflower than using ECe of 0-100 cm depth.

Publication Details

Page(s) 1813-1824

DOI DOI not available

Published Journal: Journal of Animal and Plant sciences, Volume: 28, Issue: 6, Year: 2018

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References

Acosta-Motos , J.R.,M. F.Ortuño,A.Bernal-Vicente,P.Diaz-Vivancos,M. J.Sanchez-Blanco,J. A.Hernandez, 2017.Plant Responses to Salt Stress: Adaptive Mechanisms,Agronomy 7 18 -

Addiscott , T.,A . Whitmore, 1991.Simulation of solute leaching in soils of differing permeabilities,Soil Use Manage 7 94 -102

Casadebaig , P.,B.Zheng,S.Chapman,N.Huth,R.Faivre,K.Chenu, 2016.Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis,PloS one 11:e0146385. -

Chakwizira , E.,E.Teixeira,E.Meenken,A.Michel,S.Maley, 2018.Radiation use efficiency and biomass partitioning to storage roots in fodder beet crops,European J. Agron 92 63 -71

Confalonieri , R.,M.Acutis,G.Bellocchi and M. Donatelli, 2009.Multi-metric evaluation of the models WARM, CropSyst, and WOFOST for rice,Ecol Model 220 1395 -1410

Confalonieri , R., S.,Bregaglio and M. Acutis, 2016.Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration,Ecol Model 328 72 -77

Cong , P.,Z.Ouyang,R.Hou,Han, 2017.Effects of application of microbial fertilizer on aggregation and aggregate-associated carbon in saline soils,Soil and Tillage Research 168 33 -41

Curtis , P.S.,A . Lauchli, 1986.The role of leaf area development and photosynthetic capacity in determining growth of kenaf under moderate salt stress,Functional Plant Biology 13 553 -565

Elgallal , M.,L.Fletcher,B.Evans, 2016.Assessment of potential risks associated with chemicals in wastewater used for irrigation in arid and semiarid zones: A review,Agr Water Manage 177 419 -431

Ezui , K.,P.Leffelaar,A.Franke,A.Mando,K.Giller, 2018.Simulating drought impact and mitigation in cassava using the LINTUL model,Field Crops Research 219 256 -272

Farooq , M M. Hussain, A.,Wakeel and K. H. Siddique, 2015.Salt stress in maize: effects, resistance mechanisms, and management. A review,Agronomy for Sustainable Development 35 461 -481

Faye , B.,H.Webber,M.Diop,M. L.Mbaye,J. D.Owusu-Sekyere,J. B.Naab,T.Gaiser, 2018a.Potential impact of climate change on peanut yield in Senegal, West Africa,Field Crops Research 219 148 -159

Faye , B.,H.Webber,J. B.Naab,M.Adam,F.Ewert,J. P.Lamers,C. F.Schleussner,A., .0° C on cereal yields in the West African Sudan Savanna,Environmental Research Letters 13 034014 -

Flowers , T., 2004.Improving crop salt tolerance,J Exp Bot 55 307 -319

Freschet , G.T.,E. M.Swart,J. H.Cornelissen, 2015.Integrated plant phenotypic responses to contrasting above and below ground resources: key roles of specific leaf area and root mass fraction,New Phytol 206 1247 -1260

Gaiser , T.,P. M.Küpper,T.Kautz,D.Uteau-Puschmann,F.Ewert,A.Enders,G.Krauss, 2013.Modeling biopore effects on root growth and biomass production on soils with pronounced sub-soil clay accumulation,Ecol Model 256 6 -15

Hammer , G. L,G.McLean,S. C.Chapman,I. Broad,P.Harland and R. C. Muchow, 2010.Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops,J Exp Bot 61 2185 -2202

Hashem , A.,E. F.Abd_Allah,A. A.Alqarawi,A. A.AlHuqail,S.Wirth,D.Egamberdieva, 2016.The interaction between arbuscular mycorrhizal fungi and endophytic bacteria enhances plant growth of Acacia gerrardii under salt stress,Frontiers in Microbiology 7. -

Hochman , Z.,Y. P.Dang,G. D.Schwenke,N. P.Dalgliesh,R.Routley,M.McDonald,I. G.Daniells,W.Manning,P. L.Poulton, 2007.Simulating the effects of saline and sodic subsoils on wheat crops growing on Vertosols,Crop and Pasture Science 58 802 -810

Hochman , Z.,M. E.Probert,N.Dalgliesh,NTurner,JAngus,L McIntyre,MRobertson,A, 2004.Borrell www, -

Hu , S.,Qiao , D.,H.Shi, 2006.Analysis on root ecological and physiological characteristics of sunflower,J. Arid Land Resources and Environment 20 192 -197

Jiang , J., S. Y.,Feng , Z. L.,Huo , Z. C.,Zhao and B.,Jia, 2011.Application of the SWAP model to simulate water-salt transport under deficit irrigation with saline water,Math Comput Model 54 902 -911

Katerji , N.,J. Van Hoorn , A.,Hamdy and M. Mastrorilli, 2000.Salt tolerance classification of crops according to soil salinity and to water stress day index,Agr Water Manage 43 99 -109

Kaya , M.D.,Okçu , G.,Atak , M.,Y., 2006.Seed treatments to overcome salt and drought stress during germination in sunflower (Helianthus annuus L.),Eur J Agron 24 291 -295

Kitchen , N.,K.Sudduth,S.Drummond, 1999.Soil electrical conductivity as a crop productivity measure for claypan soils,J Prod Agric 12 607 -617

Kong , D., 2004.Study on crop response to soil water-salt and its modelling for saline soil under watersaving irrigation. College of Mechanical and Electrical Engineering, -

Kumar , P.,A.Sarangi,D.Singh,S.Parihar,R.Sahoo, 2015.Simulation of salt dynamics in the root zone and yield of wheat crop under irrigated saline regimes using SWAP model,Agr Water Manage 148 72 -83

Li , L.,H. B.Shi,J. F.Jia,C. S.Wang,H. Y.Liu, 2010.Simulation of water and salt transport of uncultivated land in Hetao Irrigation District in Inner Mongolia,Transactions of the CSAE 26 31 -35

Li , X.,Y.Jiao,M.Yang,Wen, 2016.Soil bacterial community diversity under different degrees of saline-alkaline in the Hetao Area of Inner Mongolia,China Environmental Science 36 249 -260

Liu , G.,L.Wang,L.Jiang,X.Pan,Z.Huang,M.Dong,J. H.Cornelissen, 2018.Specific leaf area predicts dryland litter decomposition via two mechanisms,Journal of Ecology 106 218 -229

Lizaso , J. I.,K. J.Boote,J. W.Jones,C. H.Porter,L.Echarte,M. E.Westgate,G.Sonohat,AgronJ, 2011.CSM-IXIM: A New Maize Simulation Model for DSSAT Version 4, 766 -779

Paredes , P.,Z.Wei,Y.Liu,D.Xu,Y.Xin,B.Zhang,Pereira, 2015.Performance assessment of the FAO AquaCrop model for soil water, soil evaporation, biomass and yield of soybeans in North China Plain,Agr Water Manage 152 57 -71

Paul , D.,Lade, 2014.Plant-growth-promoting rhizobacteria to improve crop growth in saline soils: a review,Agronomy for sustainable development 34 737 -752

Rengasamy , P., 2006.World salinization with emphasis on Australia,J Exp Bot 57 1017 -1023

Shani , U.,Dudley, 2001.Field studies of crop response to water and salt stress,Soil Sci Soc Am 65 1522 -1528

Skaggs , T. H.,P. J.Shouse,J. A.Poss, 2006.Macroscopic approaches to root water uptake as a function of water and salinity stress,agricultural water management 86 140 -149

Timsina , J.,E.Humphreys, 2006.Performance of CERES-Rice and CERES-Wheat models in ricewheat systems: A review,Agr Syst 90 5 -31

Wang , D.,M.Shannon,C.Grieve, 2001.Salinity reduces radiation absorption and use efficiency in soybean,Field Crop Res 69 267 -277

Webber , H.,J. W.White,B. A.Kimball,F.Ewert,S.Asseng,E. E.Rezaei,P. J.Pinter,J. L.Hatfield,M. P.Reynolds,B.Ababaei, 2018.Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions,Field Crops Research 216 75 -88

Wolf , J., 2012.LINTUL5: simple generic model for simulation of crop growth under potential, water limited and nitrogen, phosphorus and potassium limited conditions. User s Manual., -

Wu , J. W.,B.Vincent,J. Z.Yang,S.Bouarfa,A . Vidal, 2008.Remote sensing monitoring of changes in soil salinity: A case study in Inner Mongolia,China. Sensors 8 7035 -7049

Zeng , W.,J. Wu , M. P.,Hoffmann , C.,Xu , T.,Ma,Huang, 2016a.Testing the APSIM sunflower model on saline soils of Inner Mongolia, China,Field Crop Res 192 42 -54

Zeng , W., C.,Xu , J.,Huang , J.,Wu and T.,Ma, 2015.Emergence Rate, Yield, and Nitrogen-Use Efficiency of Sunflowers (Helianthus annuus) Vary with Soil Salinity and Amount of Nitrogen Applied,Communications in Soil Science and Plant Analysis 46 1006 -1023

Zeng , W., C.,Xu , J.,Huang , J.,Wu and M., .Tuller (2016b). Predicting Near-Surface Moisture Content of Saline Soils from Near-Infrared Reflectance Spectra with a Modified Gaussian Model,Soil Science Society of America Journal 80 1496 -1506

Zeng , W., C.,Xu , J.,Wu,Huang, 2014.Soil salt leaching under different irrigation regimes: HYDRUS-1D modelling and analysis,Journal of Arid Land 6 44 -58

Zeng , W., C.,Xu , J.,Wu,Huang, 2016c.Sunflower seed yield estimation under the interaction of soil salinity and nitrogen application,Field Crops Research 198 1 -15

Zhao , G.,H.Webber,H.Hoffmann,J.Wolf,S.Siebert,F.Ewert, 2015.The implication of irrigation in climate change impact assessment: a European wide study,Global Change Biol 21 4031 -4048

Zhao , Y.,H.Pang,J.Wang,L.Huo,Y.Li, 2014.Effects of straw mulch and buried straw on soil moisture and salinity in relation to sunflower growth and yield,Field Crop Res 161 16 -25

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