IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v243y2021ics037837741932147x.html
   My bibliography  Save this article

Optimal irrigation and fertilizer amounts based on multi-level fuzzy comprehensive evaluation of yield, growth and fruit quality on cherry tomato

Author

Listed:
  • He, Zhihao
  • Li, Manning
  • Cai, Zelin
  • Zhao, Rongsheng
  • Hong, Tingting
  • Yang, Zhi
  • Zhang, Zhi

Abstract

The accurate and efficient management of irrigation and fertilizer is essential for the effective intensive production of greenhouse cherry tomato. In this study, we evaluated the effects of irrigation and fertilizer combinations on yield, growth, and nutritional and taste quality of cherry tomato. More specifically, we applied a quadratic orthogonal rotation combination design with four experimental factors at five levels (-1.68, -1, 0, 1, 1.68) for a total of 23 treatments over two consecutive growing seasons in 2018. A multi-level fuzzy comprehensive evaluation (MFCE) was constructed, including four factors and 14 subfactors, as well as a water and fertilizer multi-factor regulation model for the integrated growth of cherry tomato. Single experimental factor effects included irrigation in the spring season (2018S), with the other experimental factors following a downward opening parabola with integrated cherry tomato growth for both seasons. The integrated growth increased with irrigation, and exhibited a rise and subsequent fall with phosphate (P2O5) and potash (K2O) in 2018S, as well as with irrigation and nitrogen (N) levels in the fall season (2018 F). The experimental factor interaction values of 1.68 for irrigation (1978.0 m3/ha), 0.94 for N (482.2 kg/ha), -0.69 for P2O5 (104.4 kg/ha) and -0.65 for K2O (181.3 kg/ha) were observed to be optimal for the integrated growth of cherry tomato in 2018S. The corresponding combination for 2018 F was determined as 0.70 for irrigation (1082.9 m3/ha), 0.51 for N (287.9 kg/ha), 0 for P2O5 (126.5 kg/ha) and -0.41 for K2O (159.7 kg/ha). Furthermore, the irrigation, N, P2O5, and K2O intervals that maximized cherry tomato growth over the two seasons were as follows: i) 1780.2–1978.0 m3/ha, 434.0–482.2 kg/ha, 94.0–104.4 kg/ha, and 163.2–181.3 kg/ha for 2018S; and 974.6–1082.9 m3/ha, 259.1–287.9 kg/ha, 113.9–126.5 kg/ha and 143.7–159.7 kg/ha for 2018 F, respectively. Comprehensively understanding the growth of cherry tomato can potentially enhance cherry tomato production in the arid regions of northwestern China.

Suggested Citation

  • He, Zhihao & Li, Manning & Cai, Zelin & Zhao, Rongsheng & Hong, Tingting & Yang, Zhi & Zhang, Zhi, 2021. "Optimal irrigation and fertilizer amounts based on multi-level fuzzy comprehensive evaluation of yield, growth and fruit quality on cherry tomato," Agricultural Water Management, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s037837741932147x
    DOI: 10.1016/j.agwat.2020.106360
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837741932147X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2020.106360?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. Yusheng Hou & Zhenhua Wang & Huaijun Ding & Wenhao Li & Yue Wen & Jifeng Zhang & Yunqing Dou, 2019. "Evaluation of Suitable Amount of Water and Fertilizer for Mature Grapes in Drip Irrigation in Extreme Arid Regions," Sustainability, MDPI, vol. 11(7), pages 1-23, April.
    2. Karami, Ezatollah, 2006. "Appropriateness of farmers' adoption of irrigation methods: The application of the AHP model," Agricultural Systems, Elsevier, vol. 87(1), pages 101-119, January.
    3. Coyago-Cruz, Elena & Meléndez-Martínez, Antonio J. & Moriana, Alfonso & Girón, Ignacio F. & Martín-Palomo, María José & Galindo, Alejandro & Pérez-López, David & Torrecillas, Arturo & Beltrán-Sinchigu, 2019. "Yield response to regulated deficit irrigation of greenhouse cherry tomatoes," Agricultural Water Management, Elsevier, vol. 213(C), pages 212-221.
    4. Zhou, Guo-Yan & Wu, En & Tu, Shan-Tung, 2014. "Optimum selection of compact heat exchangers using non-structural fuzzy decision method," Applied Energy, Elsevier, vol. 113(C), pages 1801-1809.
    5. Wang, Feng & Kang, Shaozhong & Du, Taisheng & Li, Fusheng & Qiu, Rangjian, 2011. "Determination of comprehensive quality index for tomato and its response to different irrigation treatments," Agricultural Water Management, Elsevier, vol. 98(8), pages 1228-1238, May.
    6. Wang, Chenxia & Gu, Feng & Chen, Jinliang & Yang, Hui & Jiang, Jingjing & Du, Taisheng & Zhang, Jianhua, 2015. "Assessing the response of yield and comprehensive fruit quality of tomato grown in greenhouse to deficit irrigation and nitrogen application strategies," Agricultural Water Management, Elsevier, vol. 161(C), pages 9-19.
    7. Thompson, R.B. & Martinez-Gaitan, C. & Gallardo, M. & Gimenez, C. & Fernandez, M.D., 2007. "Identification of irrigation and N management practices that contribute to nitrate leaching loss from an intensive vegetable production system by use of a comprehensive survey," Agricultural Water Management, Elsevier, vol. 89(3), pages 261-274, May.
    8. Mutambara, Solomon & Darkoh, Michael B.K. & Atlhopheng, Julius R., 2016. "A comparative review of water management sustainability challenges in smallholder irrigation schemes in Africa and Asia," Agricultural Water Management, Elsevier, vol. 171(C), pages 63-72.
    9. Wang, H. & Sánchez-Molina, J.A. & Li, M. & Berenguel, M. & Yang, X.T. & Bienvenido, J.F., 2017. "Leaf area index estimation for a greenhouse transpiration model using external climate conditions based on genetics algorithms, back-propagation neural networks and nonlinear autoregressive exogenous ," Agricultural Water Management, Elsevier, vol. 183(C), pages 107-115.
    10. Farneselli, Michela & Benincasa, Paolo & Tosti, Giacomo & Simonne, Eric & Guiducci, Marcello & Tei, Francesco, 2015. "High fertigation frequency improves nitrogen uptake and crop performance in processing tomato grown with high nitrogen and water supply," Agricultural Water Management, Elsevier, vol. 154(C), pages 52-58.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhu Li & Jianhe Ding & Tianqi Tao & Shulian Wang & Kewu Pi & Wen Xiong, 2024. "Novel Evaluation Method for Cleaner Production Audit in Industrial Parks: Case of a Park in Central China," Sustainability, MDPI, vol. 16(6), pages 1-18, March.
    2. Qu, Feng & Zhang, Qi & Jiang, Zhaoxi & Zhang, Caihong & Zhang, Zhi & Hu, Xiaohui, 2022. "Optimizing irrigation and fertilization frequency for greenhouse cucumber grown at different air temperatures using a comprehensive evaluation model," Agricultural Water Management, Elsevier, vol. 273(C).
    3. Xiao, Chao & Zou, Haiyang & Fan, Junliang & Zhang, Fucang & Li, Yi & Sun, Shikun & Pulatov, Alim, 2021. "Optimizing irrigation amount and fertilization rate of drip-fertigated spring maize in northwest China based on multi-level fuzzy comprehensive evaluation model," Agricultural Water Management, Elsevier, vol. 257(C).
    4. Huang, Wenhuan & Wang, Hailong, 2021. "Drought and intensified agriculture enhanced vegetation growth in the central Pearl River Basin of China," Agricultural Water Management, Elsevier, vol. 256(C).
    5. Zhang, Junwei & Xiang, Lingxiao & Liu, Yuxin & Jing, Dan & Zhang, Lili & Liu, Yong & Li, Wuqiang & Wang, Xiaoyan & Li, Tianlai & Li, Jianming, 2024. "Optimizing irrigation schedules of greenhouse tomato based on a comprehensive evaluation model," Agricultural Water Management, Elsevier, vol. 295(C).
    6. Xinchao Ma & Zhanming Tan & Yunxia Cheng & Tingting Wang & Man Cao & Zhengying Xuan & Hongbin Du, 2024. "Water-Nutrient Coupling Strategies That Improve the Carbon, Nitrogen Metabolism, and Yield of Cucumber under Sandy Cultivated Land," Land, MDPI, vol. 13(7), pages 1-15, June.
    7. Cai, Zelin & Bai, Jiaming & Li, Rui & He, Daiwei & Du, Rongcheng & Li, Dayong & Hong, Tingting & Zhang, Zhi, 2023. "Water and nitrogen management scheme of melon based on yield−quality−efficiency matching perspective under CO2 enrichment," Agricultural Water Management, Elsevier, vol. 285(C).
    8. Yu, Xuemei & Niu, Luqi & Zhang, Yuhui & Xu, Zijian & Zhang, Junwei & Zhang, Shuhui & Li, Jianming, 2024. "Vapour pressure deficit affects crop water productivity, yield, and quality in tomatoes," Agricultural Water Management, Elsevier, vol. 299(C).
    9. Hong, Tingting & Cai, Zelin & Li, Rui & Liu, Jiecheng & Li, Jinglai & Wang, Zheng & Zhang, Zhi, 2022. "Effects of water and nitrogen coupling on watermelon growth, photosynthesis and yield under CO2 enrichment," Agricultural Water Management, Elsevier, vol. 259(C).

    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. Qu, Feng & Zhang, Qi & Jiang, Zhaoxi & Zhang, Caihong & Zhang, Zhi & Hu, Xiaohui, 2022. "Optimizing irrigation and fertilization frequency for greenhouse cucumber grown at different air temperatures using a comprehensive evaluation model," Agricultural Water Management, Elsevier, vol. 273(C).
    2. 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).
    3. Zhou, Huiping & Chen, Jinliang & Wang, Feng & Li, Xiaojuan & Génard, Michel & Kang, Shaozhong, 2020. "An integrated irrigation strategy for water-saving and quality-improving of cash crops: Theory and practice in China," Agricultural Water Management, Elsevier, vol. 241(C).
    4. Li, Bo & Wim, Voogt & Shukla, Manoj Kumar & Du, Taisheng, 2021. "Drip irrigation provides a trade-off between yield and nutritional quality of tomato in the solar greenhouse," Agricultural Water Management, Elsevier, vol. 249(C).
    5. Lu, Jia & Shao, Guangcheng & Gao, Yang & Zhang, Kun & Wei, Qun & Cheng, Jifan, 2021. "Effects of water deficit combined with soil texture, soil bulk density and tomato variety on tomato fruit quality: A meta-analysis," Agricultural Water Management, Elsevier, vol. 243(C).
    6. Coyago-Cruz, Elena & Meléndez-Martínez, Antonio J. & Moriana, Alfonso & Girón, Ignacio F. & Martín-Palomo, María José & Galindo, Alejandro & Pérez-López, David & Torrecillas, Arturo & Beltrán-Sinchigu, 2019. "Yield response to regulated deficit irrigation of greenhouse cherry tomatoes," Agricultural Water Management, Elsevier, vol. 213(C), pages 212-221.
    7. Qu, Zhaoming & Qi, Xingchao & Liu, Yanli & Liu, Kexin & Li, Chengliang, 2020. "Interactive effect of irrigation and polymer-coated potassium chloride on tomato production in a greenhouse," Agricultural Water Management, Elsevier, vol. 235(C).
    8. Xinchao Ma & Zhanming Tan & Yunxia Cheng & Tingting Wang & Man Cao & Zhengying Xuan & Hongbin Du, 2024. "Water-Nutrient Coupling Strategies That Improve the Carbon, Nitrogen Metabolism, and Yield of Cucumber under Sandy Cultivated Land," Land, MDPI, vol. 13(7), pages 1-15, June.
    9. Li, Huanhuan & Liu, Hao & Gong, Xuewen & Li, Shuang & Pang, Jie & Chen, Zhifang & Sun, Jingsheng, 2021. "Optimizing irrigation and nitrogen management strategy to trade off yield, crop water productivity, nitrogen use efficiency and fruit quality of greenhouse grown tomato," Agricultural Water Management, Elsevier, vol. 245(C).
    10. Yao, Zhenzhu & Hou, Xuemin & Wang, Yu & Du, Taisheng, 2023. "Regulation of tomato yield and fruit quality by alternate partial root-zone irrigation strongly depends on truss positions," Agricultural Water Management, Elsevier, vol. 282(C).
    11. Yang, Xiaoqing & Du, Rongcheng & He, Daiwei & Li, Dayong & Chen, Jingru & Han, Xiaole & Wang, Ziqing & Zhang, Zhi, 2023. "Optimal combination of potassium coupled with water and nitrogen for strawberry quality based on consumer-orientation," Agricultural Water Management, Elsevier, vol. 287(C).
    12. Liu, Hao & Li, Huanhuan & Ning, Huifeng & Zhang, Xiaoxian & Li, Shuang & Pang, Jie & Wang, Guangshuai & Sun, Jingsheng, 2019. "Optimizing irrigation frequency and amount to balance yield, fruit quality and water use efficiency of greenhouse tomato," Agricultural Water Management, Elsevier, vol. 226(C).
    13. Cai, Zelin & Bai, Jiaming & Li, Rui & He, Daiwei & Du, Rongcheng & Li, Dayong & Hong, Tingting & Zhang, Zhi, 2023. "Water and nitrogen management scheme of melon based on yield−quality−efficiency matching perspective under CO2 enrichment," Agricultural Water Management, Elsevier, vol. 285(C).
    14. Li, Yinkun & Wang, Lichun & Xue, Xuzhang & Guo, Wenzhong & Xu, Fan & Li, Youli & Sun, Weituo & Chen, Fei, 2017. "Comparison of drip fertigation and negative pressure fertigation on soil water dynamics and water use efficiency of greenhouse tomato grown in the North China Plain," Agricultural Water Management, Elsevier, vol. 184(C), pages 1-8.
    15. Yang, Hui & Du, Taisheng & Qiu, Rangjian & Chen, Jinliang & Wang, Feng & Li, Yang & Wang, Chenxia & Gao, Lihong & Kang, Shaozhong, 2017. "Improved water use efficiency and fruit quality of greenhouse crops under regulated deficit irrigation in northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 193-204.
    16. Yang, Xin & Zhang, Peng & Wei, Zhenhua & Liu, Jie & Hu, Xiaotao & Liu, Fulai, 2020. "Effects of CO2 fertilization on tomato fruit quality under reduced irrigation," Agricultural Water Management, Elsevier, vol. 230(C).
    17. Hong, Tingting & Cai, Zelin & Li, Rui & Liu, Jiecheng & Li, Jinglai & Wang, Zheng & Zhang, Zhi, 2022. "Effects of water and nitrogen coupling on watermelon growth, photosynthesis and yield under CO2 enrichment," Agricultural Water Management, Elsevier, vol. 259(C).
    18. Kang, Jian & Hao, Xinmei & Zhou, Huiping & Ding, Risheng, 2021. "An integrated strategy for improving water use efficiency by understanding physiological mechanisms of crops responding to water deficit: Present and prospect," Agricultural Water Management, Elsevier, vol. 255(C).
    19. Du, Ya-Dan & Niu, Wen-Quan & Gu, Xiao-Bo & Zhang, Qian & Cui, Bing-Jing, 2018. "Water- and nitrogen-saving potentials in tomato production: A meta-analysis," Agricultural Water Management, Elsevier, vol. 210(C), pages 296-303.
    20. Yang, Xin & Bornø, Marie Louise & Wei, Zhenhua & Liu, Fulai, 2021. "Combined effect of partial root drying and elevated atmospheric CO2 on the physiology and fruit quality of two genotypes of tomato plants with contrasting endogenous ABA levels," Agricultural Water Management, Elsevier, vol. 254(C).

    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:agiwat:v:243:y:2021:i:c:s037837741932147x. 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/agwat .

    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.