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Intelligent drip fertigation increases water and nutrient use efficiency of watermelon in greenhouse without compromising the yield

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Listed:
  • Bao, Lei
  • Zhang, Saifeng
  • Liang, Xinyu
  • Wang, Peizhou
  • Guo, Yawen
  • Sun, Qinghao
  • Zhou, Jianbin
  • Chen, Zhujun

Abstract

Intelligent drip fertigation (IF) is an efficient way to tailor water and nutrient requirement for crops to reduce their adverse impacts on environment. A three-year (2019–2021) field trials of watermelon was conducted to evaluate the effects of IF on yields and irrigation water and nutrient use efficiency of watermelon in a plastic greenhouse. The soil moisture was monitored with sensors (FDR) in the field in real time and interconnected with the computing devices embedded in the internet of things (IOT) to automatically control the irrigation and fertilization. The lower-upper limit of irrigation and the wetting soil depth were controlled accordingly to the crop stage. The fertilization rates were allocated based on the nutrient uptake characteristics of watermelon at different growth stages. The results showed the dry matter accumulation and N, P2O5, K2O uptakes of watermelon were fitted well with the "S" logistic growth function. The average proportions of dry matter accumulation, and N, P2O5, and K2O uptakes during the fruit expanding stage to the whole growth stage were 79.0%, 67.9%, 72.4%, and 71.8%, respectively. IF significantly reduced the application rates of irrigation water, N, P2O5, and K2O by 33%, 46%, 72% and 57%, respectively, without compromising watermelon yield and fruit quality. The irrigation water use efficiency, partial factor productivity, and agronomic efficiency in three years were increased significantly. The mechanism of IF treatment could be explained by tailoring the water and nutrient needs of crop by increasing root characteristics of watermelon to the water and nutrient uptake and translocation capacity of the root system. Intelligent drip fertigation is an efficient way to realize water and fertilizer space-time coupling and improve water and nutrient use efficiency.

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  • Bao, Lei & Zhang, Saifeng & Liang, Xinyu & Wang, Peizhou & Guo, Yawen & Sun, Qinghao & Zhou, Jianbin & Chen, Zhujun, 2023. "Intelligent drip fertigation increases water and nutrient use efficiency of watermelon in greenhouse without compromising the yield," Agricultural Water Management, Elsevier, vol. 282(C).
  • Handle: RePEc:eee:agiwat:v:282:y:2023:i:c:s0378377423001439
    DOI: 10.1016/j.agwat.2023.108278
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    1. Nayebloie, Fatemeh & Kouchakzadeh, Mahdi & Ebrahimi, Kumars & Homaee, Mahdi & Abbasi, Fariborz, 2022. "Improving fertigation efficiency by numerical modelling in a lettuce subsurface drip irrigation farm," Agricultural Water Management, Elsevier, vol. 270(C).
    2. 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).
    3. Mason, Brooke & Rufí-Salís, Martí & Parada, Felipe & Gabarrell, Xavier & Gruden, Cyndee, 2019. "Intelligent urban irrigation systems: Saving water and maintaining crop yields," Agricultural Water Management, Elsevier, vol. 226(C).
    4. Azad, Nasrin & Behmanesh, Javad & Rezaverdinejad, Vahid & Abbasi, Fariborz & Navabian, Maryam, 2018. "Developing an optimization model in drip fertigation management to consider environmental issues and supply plant requirements," Agricultural Water Management, Elsevier, vol. 208(C), pages 344-356.
    5. Wang, Jiangtao & Du, Gangfeng & Tian, Jingshan & Jiang, Chuangdao & Zhang, Yali & Zhang, Wangfeng, 2021. "Mulched drip irrigation increases cotton yield and water use efficiency via improving fine root plasticity," Agricultural Water Management, Elsevier, vol. 255(C).
    6. Yavuz, Duran & Seymen, Musa & Süheri, Sinan & Yavuz, Nurcan & Türkmen, Önder & Kurtar, Ertan Sait, 2020. "How do rootstocks of citron watermelon (Citrullus lanatus var. citroides) affect the yield and quality of watermelon under deficit irrigation?," Agricultural Water Management, Elsevier, vol. 241(C).
    7. Abdelkhalik, Abdelsattar & Pascual-Seva, Nuria & Nájera, Inmaculada & Giner, Alfonso & Baixauli, Carlos & Pascual, Bernardo, 2019. "Yield response of seedless watermelon to different drip irrigation strategies under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 212(C), pages 99-110.
    8. Miller, G.A. & Farahani, H.J. & Hassell, R.L. & Khalilian, A. & Adelberg, J.W. & Wells, C.E., 2014. "Field evaluation and performance of capacitance probes for automated drip irrigation of watermelons," Agricultural Water Management, Elsevier, vol. 131(C), pages 124-134.
    9. Zhang, Zhe & Liu, Shengyao & Jia, Songnan & Du, Fenghuan & Qi, Hao & Li, Jiaxi & Song, Xinyue & Zhao, Nan & Nie, Lanchun & Fan, Fengcui, 2021. "Precise soil water control using a negative pressure irrigation system to improve the water productivity of greenhouse watermelon," Agricultural Water Management, Elsevier, vol. 258(C).
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    2. Wei, Qi & Wei, Qi & Xu, Junzeng & Liu, Yuzhou & Wang, Dong & Chen, Shengyu & Qian, Wenhao & He, Min & Chen, Peng & Zhou, Xuanying & Qi, Zhiming, 2024. "Nitrogen losses from soil as affected by water and fertilizer management under drip irrigation: Development, hotspots and future perspectives," Agricultural Water Management, Elsevier, vol. 296(C).

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