IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v209y2023ics0308521x23000938.html
   My bibliography  Save this article

Modelling growth of chili pepper (Capsicum annuum L.) with the WOFOST model

Author

Listed:
  • Tang, Ruoling
  • Supit, Iwan
  • Hutjes, Ronald
  • Zhang, Fen
  • Wang, Xiaozhong
  • Chen, Xuanjing
  • Zhang, Fusuo
  • Chen, Xinping

Abstract

Chili pepper (Capsicum annuum L.) is one of the most economically and agriculturally important, and relatively nutrient-dense, vegetables that has, to date, received little attention in model studies relevant to dry matter production and nutrient-uptake predictions. There is an urgent need for models to analyse the potential impacts of climate change, as well as responsive adaptation options, while simultaneously optimising productivity against fertilizer use to reduce nutrient pollution.

Suggested Citation

  • Tang, Ruoling & Supit, Iwan & Hutjes, Ronald & Zhang, Fen & Wang, Xiaozhong & Chen, Xuanjing & Zhang, Fusuo & Chen, Xinping, 2023. "Modelling growth of chili pepper (Capsicum annuum L.) with the WOFOST model," Agricultural Systems, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:agisys:v:209:y:2023:i:c:s0308521x23000938
    DOI: 10.1016/j.agsy.2023.103688
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X23000938
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2023.103688?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. Bosi, Cristiam & Sentelhas, Paulo Cesar & Pezzopane, José Ricardo Macedo & Santos, Patricia Menezes, 2020. "CROPGRO-Perennial Forage model parameterization for simulating Piatã palisade grass growth in monoculture and in a silvopastoral system," Agricultural Systems, Elsevier, vol. 177(C).
    2. Kadigi, Ibrahim L. & Richardson, James W. & Mutabazi, Khamaldin D. & Philip, Damas & Mourice, Sixbert K. & Mbungu, Winfred & Bizimana, Jean-Claude & Sieber, Stefan, 2020. "The effect of nitrogen-fertilizer and optimal plant population on the profitability of maize plots in the Wami River sub-basin, Tanzania: A bio-economic simulation approach," Agricultural Systems, Elsevier, vol. 185(C).
    3. Gallardo, M. & Fernández, M.D. & Giménez, C. & Padilla, F.M. & Thompson, R.B., 2016. "Revised VegSyst model to calculate dry matter production, critical N uptake and ETc of several vegetable species grown in Mediterranean greenhouses," Agricultural Systems, Elsevier, vol. 146(C), pages 30-43.
    4. Roetter, R. & Hoanh, C.T. & Teng, P.S., 1998. "A systems approach to anakyzing land use options for sustainable rural development in South and Southeast Asia," IRRI Discussion Papers 287570, International Rice Research Institute (IRRI).
    5. Tei, Francesco & De Neve, Stefaan & de Haan, Janjo & Kristensen, Hanne Lakkenborg, 2020. "Nitrogen management of vegetable crops," Agricultural Water Management, Elsevier, vol. 240(C).
    6. Teodor Stan & Neculai Munteanu & Gabriel-Ciprian Teliban & Alexandru Cojocaru & Vasile Stoleru, 2021. "Fertilization Management Improves the Yield and Capsaicinoid Content of Chili Peppers," Agriculture, MDPI, vol. 11(2), pages 1-13, February.
    7. Timsina, Jagadish & Dutta, Sudarshan & Devkota, Krishna Prasad & Chakraborty, Somsubhra & Neupane, Ram Krishna & Bishta, Sudarshan & Amgain, Lal Prasad & Singh, Vinod K. & Islam, Saiful & Majumdar, Ka, 2021. "Improved nutrient management in cereals using Nutrient Expert and machine learning tools: Productivity, profitability and nutrient use efficiency," Agricultural Systems, Elsevier, vol. 192(C).
    8. Doltra, J. & Muñoz, P., 2010. "Simulation of nitrogen leaching from a fertigated crop rotation in a Mediterranean climate using the EU-Rotate_N and Hydrus-2D models," Agricultural Water Management, Elsevier, vol. 97(2), pages 277-285, February.
    9. Wang, Xiaozhong & Liu, Bin & Wu, Gang & Sun, Yixiang & Guo, Xisheng & Jin, Zhenghui & Xu, Weining & Zhao, Yongzhi & Zhang, Fusuo & Zou, Chunqin & Chen, Xinping, 2018. "Environmental costs and mitigation potential in plastic-greenhouse pepper production system in China: A life cycle assessment," Agricultural Systems, Elsevier, vol. 167(C), pages 186-194.
    10. Giménez, C. & Thompson, R.B. & Prieto, M.H. & Suárez-Rey, E. & Padilla, F.M. & Gallardo, M., 2019. "Adaptation of the VegSyst model to outdoor conditions for leafy vegetables and processing tomato," Agricultural Systems, Elsevier, vol. 171(C), pages 51-64.
    11. Liu, Haijun & Yang, Huiying & Zheng, Jianhua & Jia, Dongdong & Wang, Jun & Li, Yan & Huang, Guanhua, 2012. "Irrigation scheduling strategies based on soil matric potential on yield and fruit quality of mulched-drip irrigated chili pepper in Northwest China," Agricultural Water Management, Elsevier, vol. 115(C), pages 232-241.
    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. Gallardo, Marisa & Elia, Antonio & Thompson, Rodney B., 2020. "Decision support systems and models for aiding irrigation and nutrient management of vegetable crops," Agricultural Water Management, Elsevier, vol. 240(C).
    2. Soto, F. & Thompson, R.B. & Granados, M.R. & Martínez-Gaitán, C. & Gallardo, M., 2018. "Simulation of agronomic and nitrate pollution related parameters in vegetable cropping sequences in Mediterranean greenhouses using the EU-Rotate_N model," Agricultural Water Management, Elsevier, vol. 199(C), pages 175-189.
    3. Berrueta, Cecilia & Grasso, Rafael & García, Claudio & Thompson, Rodney B. & Gallardo, Marisa, 2023. "Use of the VegSyst model to simulate seasonal dry matter production, N and K uptake and evapotranspiration in greenhouse soil-grown tomato in Uruguay," Agricultural Water Management, Elsevier, vol. 286(C).
    4. Martha Swamila & Damas Philip & Adam Meshack Akyoo & Julius Manda & Lutengano Mwinuka & Philip J. Smethurst & Stefan Sieber & Anthony Anderson Kimaro, 2021. "Profitability of Gliricidia-Maize System in Selected Dryland Areas of Dodoma Region, Tanzania," Sustainability, MDPI, vol. 14(1), pages 1-13, December.
    5. Ponsioen, Thomas C. & Hengsdijk, Huib & Wolf, Joost & van Ittersum, Martin K. & Rotter, Reimund P. & Son, Tran Thuc & Laborte, Alice G., 2006. "TechnoGIN, a tool for exploring and evaluating resource use efficiency of cropping systems in East and Southeast Asia," Agricultural Systems, Elsevier, vol. 87(1), pages 80-100, January.
    6. Amin, M.G. Mostofa & Šimůnek, Jirka & Lægdsmand, Mette, 2014. "Simulation of the redistribution and fate of contaminants from soil-injected animal slurry," Agricultural Water Management, Elsevier, vol. 131(C), pages 17-29.
    7. Liang, Hao & Lv, Haofeng & Batchelor, William D. & Lian, Xiaojuan & Wang, Zhengxiang & Lin, Shan & Hu, Kelin, 2020. "Simulating nitrate and DON leaching to optimize water and N management practices for greenhouse vegetable production systems," Agricultural Water Management, Elsevier, vol. 241(C).
    8. Liu, Haijun & Yin, Congyan & Gao, Zhuangzhuang & Hou, Lizhu, 2021. "Evaluation of cucumber yield, economic benefit and water productivity under different soil matric potentials in solar greenhouses in North China," Agricultural Water Management, Elsevier, vol. 243(C).
    9. Vieira Junior, Nilson Aparecido & Evers, Jochem & dos Santos Vianna, Murilo & Pedreira, Bruno Carneiro e & Pezzopane, José Ricardo Macedo & Marin, Fábio Ricardo, 2022. "Understanding the arrangement of Eucalyptus-Marandu palisade grass silvopastoral systems in Brazil," Agricultural Systems, Elsevier, vol. 196(C).
    10. Karandish, Fatemeh & Šimůnek, Jiří, 2016. "A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies," Agricultural Water Management, Elsevier, vol. 178(C), pages 291-303.
    11. Müller, T. & Ranquet Bouleau, C. & Perona, P., 2016. "Optimizing drip irrigation for eggplant crops in semi-arid zones using evolving thresholds," Agricultural Water Management, Elsevier, vol. 177(C), pages 54-65.
    12. Teodor Stan & Neculai Munteanu & Gabriel-Ciprian Teliban & Alexandru Cojocaru & Vasile Stoleru, 2021. "Fertilization Management Improves the Yield and Capsaicinoid Content of Chili Peppers," Agriculture, MDPI, vol. 11(2), pages 1-13, February.
    13. Zhang, Huimeng & Xiong, Yunwu & Huang, Guanhua & Xu, Xu & Huang, Quanzhong, 2017. "Effects of water stress on processing tomatoes yield, quality and water use efficiency with plastic mulched drip irrigation in sandy soil of the Hetao Irrigation District," Agricultural Water Management, Elsevier, vol. 179(C), pages 205-214.
    14. Contreras, J.I. & Alonso, F. & Cánovas, G. & Baeza, R., 2017. "Irrigation management of greenhouse zucchini with different soil matric potential level. Agronomic and environmental effects," Agricultural Water Management, Elsevier, vol. 183(C), pages 26-34.
    15. Guo, Lijie & Cao, Hongxia & Helgason, Warren D. & Yang, Hui & Wu, Xuanyi & Li, Hongzheng, 2022. "Effect of drip-line layout and irrigation amount on yield, irrigation water use efficiency, and quality of short-season tomato in Northwest China," Agricultural Water Management, Elsevier, vol. 270(C).
    16. Soto, F. & Gallardo, M. & Giménez, C. & Peña-Fleitas, T. & Thompson, R.B., 2014. "Simulation of tomato growth, water and N dynamics using the EU-Rotate_N model in Mediterranean greenhouses with drip irrigation and fertigation," Agricultural Water Management, Elsevier, vol. 132(C), pages 46-59.
    17. Suárez-Rey, E.M. & Romero-Gámez, M. & Giménez, C. & Thompson, R.B. & Gallardo, M., 2016. "Use of EU-Rotate_N and CropSyst models to predict yield, growth and water and N dynamics of fertigated leafy vegetables in a Mediterranean climate and to determine N fertilizer requirements," Agricultural Systems, Elsevier, vol. 149(C), pages 150-164.
    18. Liu, Haijun & Wang, Xuming & Zhang, Xian & Zhang, Liwei & Li, Yan & Huang, Guanhua, 2017. "Evaluation on the responses of maize (Zea mays L.) growth, yield and water use efficiency to drip irrigation water under mulch condition in the Hetao irrigation District of China," Agricultural Water Management, Elsevier, vol. 179(C), pages 144-157.
    19. Bai, Yu & Gao, Jinhua, 2021. "Optimization of the nitrogen fertilizer schedule of maize under drip irrigation in Jilin, China, based on DSSAT and GA," Agricultural Water Management, Elsevier, vol. 244(C).
    20. Dinesh Panday & Nikita Bhusal & Saurav Das & Arash Ghalehgolabbehbahani, 2024. "Rooted in Nature: The Rise, Challenges, and Potential of Organic Farming and Fertilizers in Agroecosystems," Sustainability, MDPI, vol. 16(4), pages 1-25, February.

    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:agisys:v:209:y:2023:i:c:s0308521x23000938. 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.elsevier.com/locate/agsy .

    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.