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Effect of Moistube Fertigation on Infiltration and Distribution of Water-Fertilizer in Mixing Waste Biomass Soil

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  • Guangzhao Sun

    (Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China)

  • Yilin Li

    (Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China)

  • Xiaogang Liu

    (Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China)

  • Ningbo Cui

    (State Key Laboratory of Hydraulics and Mountain River Engineering and College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China)

  • Yanli Gao

    (Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China)

  • Qiliang Yang

    (Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China)

Abstract

A series of indoor soil box simulation experiments were carried out to investigate the infiltration capacity of fertilizer solution in mixing waste biomass and the distribution characteristics of water-fertilizer in wetted soil under moistube fertigation. The infiltration rate and cumulative infiltration of moistube fertigation in soils as well as the distribution characteristics of water-fertilizer (soil water, nitrate–N, available P, and available K) in wetted soil were studied in three waste biomass (peanut shell) mixing ratios (MR1.5%, MR3.0%, and MR4.5%) taking a not amended soil as control (CK). The cumulative infiltration of fertilizer solution and the distribution of water-fertilizer were fitted by a modified infiltration model. Results indicated that increasing the mixing ratio improved significantly the infiltration rate and cumulative infiltration of fertilizer solution and the distribution area and content of water-fertilizer in amended wetting soil compared with CK. The relationship between the cumulative infiltration of fertilizer solution and infiltration time conformed to the Kostiakov infiltration model. The distribution uniformity coefficient of soil water and nitrate–N increased with the increase in waste biomass mixing ratio, whereas available P and available K decreased in wetted soil. The 4-parameter log-logistic model fitted well with the distribution of water-fertilizer in mixing waste biomass wetted soil under moistube fertigation. The research results could provide a theoretical basis and practical reference for the popularization and application of new moistube fertigation technology.

Suggested Citation

  • Guangzhao Sun & Yilin Li & Xiaogang Liu & Ningbo Cui & Yanli Gao & Qiliang Yang, 2019. "Effect of Moistube Fertigation on Infiltration and Distribution of Water-Fertilizer in Mixing Waste Biomass Soil," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6757-:d:292019
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    1. Bewley, Ronald & Fiebig, Denzil G., 1988. "A flexible logistic growth model with applications in telecommunications," International Journal of Forecasting, Elsevier, vol. 4(2), pages 177-192.
    2. Sun, Qing & Wang, Yaosheng & Chen, Geng & Yang, Hui & Du, Taisheng, 2018. "Water use efficiency was improved at leaf and yield levels of tomato plants by continuous irrigation using semipermeable membrane," Agricultural Water Management, Elsevier, vol. 203(C), pages 430-437.
    3. Kumar, Mukesh & Rajput, T.B.S. & Kumar, Rohitashw & Patel, Neelam, 2016. "Water and nitrate dynamics in baby corn (Zea mays L.) under different fertigation frequencies and operating pressures in semi-arid region of India," Agricultural Water Management, Elsevier, vol. 163(C), pages 263-274.
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    Cited by:

    1. Qi, Wei & Zhang, Zhanyu & Wang, Ce & Huang, Mingyi, 2021. "Prediction of infiltration behaviors and evaluation of irrigation efficiency in clay loam soil under Moistube® irrigation," Agricultural Water Management, Elsevier, vol. 248(C).
    2. Xiaowei Guo & Licong Dai & Qian Li & Dawen Qian & Guangmin Cao & Huakun Zhou & Yangong Du, 2020. "Light Grazing Significantly Reduces Soil Water Storage in Alpine Grasslands on the Qinghai-Tibet Plateau," Sustainability, MDPI, vol. 12(6), pages 1-12, March.

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