IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v482y2023ics0304380023001370.html
   My bibliography  Save this article

A comparison of wheat leaf-appearance rate submodules for DSSAT CROPSIM-CERES (CSCER)

Author

Listed:
  • Paff, K.
  • Timlin, D.
  • Fleisher, D.H.

Abstract

Wheat leaf number is linked to plant development and biomass, making it important to accurately simulate in crop models. Leaf appearance is driven by temperature, photoperiod, and time. This study compared the original DSSAT CROPSIM-CERES temperature based linear leaf-number submodule with four submodule variations that incorporated more biologically representative nonlinear functions for temperature, photoperiod, and time. The observed data came from soil-plant-atmosphere research (SPAR) and multi-year/treatment Free-Air CO2 enrichment (FACE) experiments which covered spring and winter wheat varieties and a broad range of thermal environments and CO2 levels. The nonlinear functions improved leaf-number simulation accuracy as compared to the original version. However, leaf area index (LAI) accuracy declined, suggesting further research is needed on the relationship between these responses. Model accuracy was not impacted by CO2 levels but varied with seasonal growing degree-days, suggesting further evaluation of leaf-appearance methods across a wider temperature range is needed.

Suggested Citation

  • Paff, K. & Timlin, D. & Fleisher, D.H., 2023. "A comparison of wheat leaf-appearance rate submodules for DSSAT CROPSIM-CERES (CSCER)," Ecological Modelling, Elsevier, vol. 482(C).
    • Handle: RePEc:eee:ecomod:v:482:y:2023:i:c:s0304380023001370
    DOI: 10.1016/j.ecolmodel.2023.110406
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380023001370
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2023.110406?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Enli & Engel, Thomas, 1998. "Simulation of phenological development of wheat crops," Agricultural Systems, Elsevier, vol. 58(1), pages 1-24, September.
    2. Bernhard Schauberger & Sotirios Archontoulis & Almut Arneth & Juraj Balkovic & Philippe Ciais & Delphine Deryng & Joshua Elliott & Christian Folberth & Nikolay Khabarov & Christoph Müller & Thomas A. , 2017. "Consistent negative response of US crops to high temperatures in observations and crop models," Nature Communications, Nature, vol. 8(1), pages 1-9, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeetendra Prakash Aryal & Tek B. Sapkota & Ritika Khurana & Arun Khatri-Chhetri & Dil Bahadur Rahut & M. L. Jat, 2020. "Climate change and agriculture in South Asia: adaptation options in smallholder production systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5045-5075, August.
    2. Donato Masciandaro & Riccardo Russo, 2022. "Central Banks and Climate Policy: Unpleasant Trade–Offs? A Principal–Agent Approach," BAFFI CAREFIN Working Papers 22181, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    3. Kamini Yadav & Hatim M. E. Geli, 2021. "Prediction of Crop Yield for New Mexico Based on Climate and Remote Sensing Data for the 1920–2019 Period," Land, MDPI, vol. 10(12), pages 1-27, December.
    4. Jerome Dumortier & Miguel Carriquiry & Amani Elobeid, 2021. "Impact of climate change on global agricultural markets under different shared socioeconomic pathways," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 963-984, November.
    5. Chandio, Abbas Ali & Ozdemir, Dicle & Jiang, Yuansheng, 2023. "Modelling the impact of climate change and advanced agricultural technologies on grain output: Recent evidence from China," Ecological Modelling, Elsevier, vol. 485(C).
    6. Emile H. Elias & Robert Flynn & Omololu John Idowu & Julian Reyes & Soumaila Sanogo & Brian J. Schutte & Ryann Smith & Caitriana Steele & Carol Sutherland, 2019. "Crop Vulnerability to Weather and Climate Risk: Analysis of Interacting Systems and Adaptation Efficacy for Sustainable Crop Production," Sustainability, MDPI, vol. 11(23), pages 1-25, November.
    7. Ludolph, Lars & Sedova, Barbora, 2021. "Global food prices, local weather and migration in Sub-Saharan Africa," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242334, Verein für Socialpolitik / German Economic Association.
    8. Abdul Rehman & Zakia Batool & Hengyun Ma & Rafael Alvarado & Judit Oláh, 2024. "Climate change and food security in South Asia: the importance of renewable energy and agricultural credit," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    9. Cui, Xiaomeng, 2020. "Climate change and adaptation in agriculture: Evidence from US cropping patterns," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    10. Blanc, Elodie, 2019. "Statistical Emulators of Irrigated Crop Yields and Irrigation Water Requirements," Conference papers 333018, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Egerer, Sabine & Puente, Andrea Fajardo & Peichl, Michael & Rakovec, Oldrich & Samaniego, Luis & Schneider, Uwe A., 2023. "Limited potential of irrigation to prevent potato yield losses in Germany under climate change," Agricultural Systems, Elsevier, vol. 207(C).
    12. Lucas Eduardo Oliveira Aparecido & Kamila Cunha Meneses & Pedro Antonio Lorençone & João Antonio Lorençone & Jose Reinaldo da Silva Cabral de Moraes & Glauco Souza Rolim, 2023. "Climate classification by Thornthwaite (1948) humidity index in future scenarios for Maranhão State, Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 855-878, January.
    13. Lucas Eduardo Oliveira Aparecido & Pedro Antonio Lorençone & João Antonio Lorençone & Kamila Cunha Meneses & José Reinaldo da Silva Cabral Moraes & Maryzélia Furtado Farias, 2022. "Soil water seasonal and spatial variability in Northeast Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6136-6152, May.
    14. Laura C. Bowling & Keith A. Cherkauer & Charlotte I. Lee & Janna L. Beckerman & Sylvie Brouder & Jonathan R. Buzan & Otto C. Doering & Jeffrey S. Dukes & Paul D. Ebner & Jane R. Frankenberger & Benjam, 2020. "Agricultural impacts of climate change in Indiana and potential adaptations," Climatic Change, Springer, vol. 163(4), pages 2005-2027, December.
    15. Wang, Zhaozhi & Zhang, T.Q. & Tan, C.S. & Xue, Lulin & Bukovsky, Melissa & Qi, Z.M., 2021. "Modeling impacts of climate change on crop yield and phosphorus loss in a subsurface drained field of Lake Erie region, Canada," Agricultural Systems, Elsevier, vol. 190(C).
    16. repec:ags:aaea22:335469 is not listed on IDEAS
    17. Mahbod, Mehdi & Zand-Parsa, Shahrokh & Sepaskhah, Ali Reza, 2015. "Modification of maize simulation model for predicting growth and yield of winter wheat under different applied water and nitrogen," Agricultural Water Management, Elsevier, vol. 150(C), pages 18-34.
    18. Simone Parisi & Moreno Antoniazzi & Gabriele Cola & Lorenzo Lovat & Luigi Mariani & Giacomo Morreale & Kiss Zoltan & Antonio Calò, 2014. "Spring thermal resources for grapevine in Kőszeg (Hungary) deduced from a very long pictorial time series (1740–2009)," Climatic Change, Springer, vol. 126(3), pages 443-454, October.
    19. Castex, V. & García de Cortázar-Atauri, I. & Calanca, P. & Beniston, M. & Moreau, J., 2020. "Assembling and testing a generic phenological model to predict Lobesia botrana voltinism for impact studies," Ecological Modelling, Elsevier, vol. 420(C).
    20. Yang, Meijian & Wang, Guiling, 2023. "Heat stress to jeopardize crop production in the US Corn Belt based on downscaled CMIP5 projections," Agricultural Systems, Elsevier, vol. 211(C).
    21. Ceglar, A. & van der Wijngaart, R. & de Wit, A. & Lecerf, R. & Boogaard, H. & Seguini, L. & van den Berg, M. & Toreti, A. & Zampieri, M. & Fumagalli, D. & Baruth, B., 2019. "Improving WOFOST model to simulate winter wheat phenology in Europe: Evaluation and effects on yield," Agricultural Systems, Elsevier, vol. 168(C), pages 168-180.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:482:y:2023:i:c:s0304380023001370. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.