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

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  • 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
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    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.
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    2. 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).
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