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Identifying the factors dominating the spatial distribution of water and salt in soil and cotton yield under arid environments of drip irrigation with different lateral lengths

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  • Lin, Xiaomin
  • Wang, Zhen
  • Li, Jiusheng

Abstract

The trend of secondary soil salinization has been increasingly concerned in the arid region under drip irrigation in recent decades in China. It remains unclear whether the potential increasing nonuniformity of irrigation water aroused by the increased acreage of subunit leads to salt harmfulness and yield reduction. Cotton field experiments were conducted in 2018 and 2019 to evaluate the effects of lateral length on the distribution of water and salt in soil as well as lint yield under mulched drip irrigation to identify the dominating factors using the random forest regression. Three lateral lengths of 40-, 80-, and 120-m were used. Along with a trigger point of 60–70% of field capacity (FC), irrigation amount was determined using three irrigation upper limits of 90%, 100%, and 110% of FC in the 2018 and of 90%, 110%, and 130% of FC in the 2019. The random forest analysis revealed that the nonuniform water applied by drip irrigation greatly affected the distribution of soil water content with an affecting weight exceeding 0.4. However, it imposed little impact on soil salt content along the lateral with the affecting weights less than 0.1. The relative importance of spatial variation of soil properties on soil water content decreased with increasing lateral length, while the nonuniformly applied water became the dominant factor affecting the distribution of soil water content for a field with lateral length of 120-m. The initial soil salt content dominated the spatial and temporal variation of soil salt content for treatments with all the three lengths of lateral. The long lateral did not produce obvious soil salt accumulation at the 0–60 cm soil depth along the lateral. The cumulative irrigation water and nitrogen applied imposed greater influence on the cotton lint yield than other factors. A medium lateral length is a promising selection to maintain sustainable production balancing possible salt accumulation and crop production in arid lands with relatively low initial soil salt content.

Suggested Citation

  • Lin, Xiaomin & Wang, Zhen & Li, Jiusheng, 2021. "Identifying the factors dominating the spatial distribution of water and salt in soil and cotton yield under arid environments of drip irrigation with different lateral lengths," Agricultural Water Management, Elsevier, vol. 250(C).
  • Handle: RePEc:eee:agiwat:v:250:y:2021:i:c:s0378377421000998
    DOI: 10.1016/j.agwat.2021.106834
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    References listed on IDEAS

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    1. Zhao, Weixia & Li, Jiusheng & Li, Yanfeng & Yin, Jianfeng, 2012. "Effects of drip system uniformity on yield and quality of Chinese cabbage heads," Agricultural Water Management, Elsevier, vol. 110(C), pages 118-128.
    2. Chen, Li-Juan & Feng, Qi & Li, Feng-Rui & Li, Chang-Sheng, 2014. "A bidirectional model for simulating soil water flow and salt transport under mulched drip irrigation with saline water," Agricultural Water Management, Elsevier, vol. 146(C), pages 24-33.
    3. Dehghanisanij, H. & Agassi, M. & Anyoji, H. & Yamamoto, T. & Inoue, M. & Eneji, A.E., 2006. "Improvement of saline water use under drip irrigation system," Agricultural Water Management, Elsevier, vol. 85(3), pages 233-242, October.
    4. Wang, Jiangtao & Du, Gangfeng & Tian, Jingshan & Zhang, Yali & Jiang, Chuangdao & Zhang, Wangfeng, 2020. "Effect of irrigation methods on root growth, root-shoot ratio and yield components of cotton by regulating the growth redundancy of root and shoot," Agricultural Water Management, Elsevier, vol. 234(C).
    5. Minhas, P.S. & Ramos, Tiago B. & Ben-Gal, Alon & Pereira, Luis S., 2020. "Coping with salinity in irrigated agriculture: Crop evapotranspiration and water management issues," Agricultural Water Management, Elsevier, vol. 227(C).
    6. Kang, Yaohu & Wang, Ruoshui & Wan, Shuqin & Hu, Wei & Jiang, Shufang & Liu, Shiping, 2012. "Effects of different water levels on cotton growth and water use through drip irrigation in an arid region with saline ground water of Northwest China," Agricultural Water Management, Elsevier, vol. 109(C), pages 117-126.
    7. Shareef, Muhammad & Gui, Dongwei & Zeng, Fanjiang & Waqas, Muhammad & Ahmed, Zeeshan & Zhang, Bo & Iqbal, Hassan & Xue, Jie, 2019. "Nitrogen leaching, recovery efficiency, and cotton productivity assessments on desert-sandy soil under various application methods," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    8. Guan, Hongjie & Li, Jiusheng & Li, Yanfeng, 2013. "Effects of drip system uniformity and irrigation amount on cotton yield and quality under arid conditions," Agricultural Water Management, Elsevier, vol. 124(C), pages 37-51.
    9. Li, Meng & Du, Yingji & Zhang, Fucang & Bai, Yungang & Fan, Junliang & Zhang, Jianghui & Chen, Shaoming, 2019. "Simulation of cotton growth and soil water content under film-mulched drip irrigation using modified CSM-CROPGRO-cotton model," Agricultural Water Management, Elsevier, vol. 218(C), pages 124-138.
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    1. Brar, Harjeet Singh & Singh, Pritpal, 2022. "Pre-and post-sowing irrigation scheduling impacts on crop phenology and water productivity of cotton (Gossypium hirsutum L.) in sub-tropical north-western India," Agricultural Water Management, Elsevier, vol. 274(C).
    2. Lin, Xiaomin & Wang, Zhen & Li, Jiusheng, 2022. "Spatial variability of salt content caused by nonuniform distribution of irrigation and soil properties in drip irrigation subunits with different lateral layouts under arid environments," Agricultural Water Management, Elsevier, vol. 266(C).
    3. Xiao, Chao & Ji, Qingyuan & Zhang, Fucang & Li, Yi & Fan, Junliang & Hou, Xianghao & Yan, Fulai & Liu, Xiaoqiang & Gong, Kaiyuan, 2023. "Effects of various soil water potential thresholds for drip irrigation on soil salinity, seed cotton yield and water productivity of cotton in northwest China," Agricultural Water Management, Elsevier, vol. 279(C).

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