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Optimizing irrigation and nitrogen management improves soil soluble nitrogen pools and reduces nitrate residues in a drip-fertigated apple orchard on the Loess Plateau

Author

Listed:
  • Chen, Shuaihong
  • Zhang, Shaowu
  • Li, Hui
  • Hu, Tiantian
  • Sun, Guangzhao
  • Cui, Xiaolu
  • Liu, Jie

Abstract

Appropriate water and nitrogen fertilizer management is crucial for achieving sustainable development in the apple industry. However, the soil nitrogen supply capacity and residual nitrate characteristics under drip fertigation remain poorly understood. Therefore, this study aims to (1) investigate the coupling effects of irrigation and nitrogen levels on the concentrations and distribution characteristics of soil soluble nitrogen fractions and residual soil nitrate; (2) explore the relationships between Christiansen uniformity coefficient (CU) of soil nitrate and apple yield, water productivity (WPc) and nitrogen use efficiency (nitrogen agronomic efficiency, AEn). The field experiment was conducted in a drip-fertigated apple orchard starting in 2017, which included two irrigation levels, 85% (W1) and 100% (W2) of field capacity (FC), and four nitrogen rates, 0 (N1), 120 (N2), 240 (N3) and 360 (N4) kg ha–1. The results showed that nitrogen inputs significantly increased soil soluble inorganic nitrogen and soluble organic nitrogen (SON) contents. However, the SON content significantly decreased when 360 kg N ha–1 was applied, particularly at W1. The maximum nitrate accumulation in the 0–3 m soil layer at N4 reached 2540.97 kg ha–1 in 2021, but the maximum value decreased to 1251.62 kg ha–1 in 2022 due to extreme rainfall. The average CU of residual nitrate across irrigation levels in the 0–3 m soil layer was highest at N3, with values of 0.68 and 0.57 in 2021 and 2022, respectively. High irrigation level increased the diffusion distances of nitrate both vertically and horizontally, resulting in a significant effect on CU. Apple yield and WPc first increased and then decreased with increasing nitrogen rates, while AEn consistently decreased, but they were all greater with a higher CU. The recommended combination of irrigation and nitrogen application was 85% FC and 240 kg N ha–1, which can achieve the dual goals of enhancing soil nitrogen supply capacity and minimizing environmental risks while improving orchard productivity.

Suggested Citation

  • Chen, Shuaihong & Zhang, Shaowu & Li, Hui & Hu, Tiantian & Sun, Guangzhao & Cui, Xiaolu & Liu, Jie, 2024. "Optimizing irrigation and nitrogen management improves soil soluble nitrogen pools and reduces nitrate residues in a drip-fertigated apple orchard on the Loess Plateau," Agricultural Water Management, Elsevier, vol. 295(C).
    • Handle: RePEc:eee:agiwat:v:295:y:2024:i:c:s0378377424001057
    DOI: 10.1016/j.agwat.2024.108770
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    1. 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).
    2. Dai, Zhiguang & Fei, Liangjun & Huang, Deliang & Zeng, Jian & Chen, Lin & Cai, Yaohui, 2019. "Coupling effects of irrigation and nitrogen levels on yield, water and nitrogen use efficiency of surge-root irrigated jujube in a semiarid region," Agricultural Water Management, Elsevier, vol. 213(C), pages 146-154.
    3. He, Zijian & Hu, Qingyang & Zhang, Yi & Cao, Hongxia & Nan, Xueping, 2023. "Effects of irrigation and nitrogen management strategies on soil nitrogen and apple yields in loess plateau of China," Agricultural Water Management, Elsevier, vol. 280(C).
    4. Li, Jiusheng & Zhang, Jianjun & Rao, Minjie, 2004. "Wetting patterns and nitrogen distributions as affected by fertigation strategies from a surface point source," Agricultural Water Management, Elsevier, vol. 67(2), pages 89-104, June.
    5. Zhou, Lifeng & He, Jianqiang & Qi, Zhijuan & Dyck, Miles & Zou, Yufeng & Zhang, Tibin & Feng, Hao, 2018. "Effects of lateral spacing for drip irrigation and mulching on the distributions of soil water and nitrate, maize yield, and water use efficiency," Agricultural Water Management, Elsevier, vol. 199(C), pages 190-200.
    6. Nico van Breemen, 2002. "Natural organic tendency," Nature, Nature, vol. 415(6870), pages 381-382, January.
    7. Gheysari, Mahdi & Mirlatifi, Seyed Majid & Homaee, Mehdi & Asadi, Mohammad Esmaeil & Hoogenboom, Gerrit, 2009. "Nitrate leaching in a silage maize field under different irrigation and nitrogen fertilizer rates," Agricultural Water Management, Elsevier, vol. 96(6), pages 946-954, June.
    8. Wu, Hanqing & Du, Shiyu & Zhang, Yuling & An, Jing & Zou, Hongtao & Zhang, Yulong & Yu, Na, 2019. "Effects of irrigation and nitrogen fertilization on greenhouse soil organic nitrogen fractions and soil-soluble nitrogen pools," Agricultural Water Management, Elsevier, vol. 216(C), pages 415-424.
    9. Michelle C. Mack & Edward A. G. Schuur & M. Syndonia Bret-Harte & Gaius R. Shaver & F. Stuart Chapin, 2004. "Ecosystem carbon storage in arctic tundra reduced by long-term nutrient fertilization," Nature, Nature, vol. 431(7007), pages 440-443, September.
    10. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: I. Factors governing measurement accuracy," Agricultural Water Management, Elsevier, vol. 98(6), pages 899-920, April.
    11. Volschenk, Theresa, 2021. "Effect of water deficits on pomegranate tree performance and fruit quality – A review," Agricultural Water Management, Elsevier, vol. 246(C).
    Full references (including those not matched with items on IDEAS)

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