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Optimizing fertigation schemes based on root distribution

Author

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  • Meng, Wenjie
  • Xing, Jinliang
  • Niu, Mu
  • Zuo, Qiang
  • Wu, Xun
  • Shi, Jianchu
  • Sheng, Jiandong
  • Jiang, Pingan
  • Chen, Quanjia
  • Ben-Gal, Alon

Abstract

When fertigation is applied, fertilizer is often injected into drip irrigation systems according to a single-pulse application method (SPAM) where a single dose is given either in the early, middle, or late stage of an irrigation event. To improve the consistency of distributions between nutrients and roots and thus promote root nutrient uptake, a root distribution-based multistage application method (RMAM) was proposed, where fertilizer was injected in stages during each irrigation event and proportionally according to the distribution of normalized root length density. A case study to verify the potential of RMAM and to test it against other fertigation scheduling strategies was conducted in a two-year field experiment with drip-irrigated cotton under film mulch in Xinjiang, China. Results indicated fertilizer application strategies significantly impacted soil nutrient dynamics. Generally, SPAM caused nutrient accumulation in certain soil layers, while uniform multistage application method (UMAM) resulted in a more even nutrient profile. Optimal nutrient profile for root uptake was obtained by RMAM, where more nutrients were located in the upper soil layers containing more roots. Compared to late-stage SPAM, the best among all the schemes of UMAM and SPAM, RMAM did not influence deep leaching of mineral N and available P, but did reduce leachate of available K by an average of 3.5% during the fertigation periods over the two seasons. Furthermore, at the late boll-opening stage, due to 25.8%, 35.7% and 35.3% increases of average aboveground accumulation (representing root nutrient uptake) for N, P and K, average soil residual respectively decreased 23.8%, 6.2% and 3.1%, and average cotton yield enhanced 5.5%. Besides root length density, crop nutrient uptake is also affected by many other complicated factors such as soil water/nutrient dynamics and root uptake activity, and thus RMAM should be further investigated to consider these factors comprehensively.

Suggested Citation

  • Meng, Wenjie & Xing, Jinliang & Niu, Mu & Zuo, Qiang & Wu, Xun & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2023. "Optimizing fertigation schemes based on root distribution," Agricultural Water Management, Elsevier, vol. 275(C).
    • Handle: RePEc:eee:agiwat:v:275:y:2023:i:c:s0378377422005418
    DOI: 10.1016/j.agwat.2022.107994
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    1. Gardenas, A.I. & Hopmans, J.W. & Hanson, B.R. & Simunek, J., 2005. "Two-dimensional modeling of nitrate leaching for various fertigation scenarios under micro-irrigation," Agricultural Water Management, Elsevier, vol. 74(3), pages 219-242, June.
    2. Hanson, Blaine R. & Simunek, Jirka & Hopmans, Jan W., 2006. "Evaluation of urea-ammonium-nitrate fertigation with drip irrigation using numerical modeling," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 102-113, November.
    3. Ning, Songrui & Zhou, Beibei & Shi, Jianchu & Wang, Quanjiu, 2021. "Soil water/salt balance and water productivity of typical irrigation schedules for cotton under film mulched drip irrigation in northern Xinjiang," Agricultural Water Management, Elsevier, vol. 245(C).
    4. Wang, Feng-Xin & Kang, Yaohu & Liu, Shi-Ping, 2006. "Effects of drip irrigation frequency on soil wetting pattern and potato growth in North China Plain," Agricultural Water Management, Elsevier, vol. 79(3), pages 248-264, February.
    5. Zong, Rui & Wang, Zhenhua & Zhang, Jinzhu & Li, Wenhao, 2021. "The response of photosynthetic capacity and yield of cotton to various mulching practices under drip irrigation in Northwest China," Agricultural Water Management, Elsevier, vol. 249(C).
    6. 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.
    7. Shi, Jianchu & Wu, Xun & Wang, Xiaoyu & Zhang, Mo & Han, Le & Zhang, Wenjing & Liu, Wen & Zuo, Qiang & Wu, Xiaoguang & Zhang, Hongfei & Ben-Gal, Alon, 2020. "Determining threshold values for root-soil water weighted plant water deficit index based smart irrigation," Agricultural Water Management, Elsevier, vol. 230(C).
    8. 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.
    9. Liu, Lining & Wang, Tianshu & Wang, Lichun & Wu, Xun & Zuo, Qiang & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2022. "Plant water deficit index-based irrigation under conditions of salinity," Agricultural Water Management, Elsevier, vol. 269(C).
    10. Hou, Zhenan & Chen, Weiping & Li, Xiao & Xiu, Lin & Wu, Laosheng, 2009. "Effects of salinity and fertigation practice on cotton yield and 15N recovery," Agricultural Water Management, Elsevier, vol. 96(10), pages 1483-1489, October.
    11. Liang, Jiaping & Shi, Wenjuan, 2021. "Poly-γ-glutamic acid improves water-stable aggregates, nitrogen and phosphorus uptake efficiency, water-fertilizer productivity, and economic benefit in barren desertified soils of Northwest China," Agricultural Water Management, Elsevier, vol. 245(C).
    12. Wang, Dan & Mo, Yan & Li, Guangyong & Wilkerson, Carol Jo & Hoogenboom, Gerrit, 2021. "Improving maize production and decreasing nitrogen residue in soil using mulched drip fertigation," Agricultural Water Management, Elsevier, vol. 251(C).
    13. Chen, Shuai & Mao, Xiaomin & Barry, David Andrew & Yang, Jian, 2019. "Model of crop growth, water flow, and solute transport in layered soil," Agricultural Water Management, Elsevier, vol. 221(C), pages 160-174.
    14. Shi, Jianchu & Wu, Xun & Zhang, Mo & Wang, Xiaoyu & Zuo, Qiang & Wu, Xiaoguang & Zhang, Hongfei & Ben-Gal, Alon, 2021. "Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 248(C).
    15. Clothier, Brent E. & Green, Steven R., 1994. "Rootzone processes and the efficient use of irrigation water," Agricultural Water Management, Elsevier, vol. 25(1), pages 1-12, February.
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