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Quantifying the effects of spatial-temporal variability of soil properties on crop growth in management zones within an irrigated maize field in Northwest China

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  • Chen, Shichao
  • Du, Taisheng
  • Wang, Sufen
  • Parsons, David
  • Wu, Di
  • Guo, Xiuwei
  • Li, Donghao

Abstract

Spatial and temporal variability of soil properties, irrigation schedules, and fertilization management play an important role in crop growth and yield in agricultural systems. However, how to improve and accurately predict crop yield in different management zones (MZs) within a large-scale field are important but rarely discussed. In this study, coefficient of variation, linear correlations, partial least squares discriminant analysis and quantile regression were used to quantify relationships between crop and soil properties, and determine key explanatory factors of yield, and to identify suitable ways to improve crop yield among MZs. At the temporal scale, coefficients of variation of crop growth parameters (LAI and biomass), and correlations of crop growth parameters with soil water content and available nitrogen varied during crop growth stages in MZs across years. Crop–soil correlations varied with time and were most pronounced in heading and filling stages when LAI and biomass approached maximum values, respectively. At the spatial scale, 22 explanatory factors belonging to four categories: soil physical properties, initial soil properties, soil water and nitrogen dynamics, and topography were compared. Results showed that among the four categories, initial soil properties had the greatest influence on yield across the whole field, whereas soil water and nitrogen dynamics were the most influential for individual MZs. Key explanatory factors of yield varied across MZs in 2017 and 2018. Although key explanatory factors varied across years within a MZ, some remained unchanged, especially soil physical properties. Based on the quantile regression results, the same key explanatory factors might appear in MZs, but the reference ranges were different. For more sustainable and efficient agricultural production, distributed integrated management, including soil amelioration before sowing, and irrigation and N fertilization scheduling during the crop growth period should be implemented in MZs based on the spatial-temporal variability of soil properties.

Suggested Citation

  • Chen, Shichao & Du, Taisheng & Wang, Sufen & Parsons, David & Wu, Di & Guo, Xiuwei & Li, Donghao, 2021. "Quantifying the effects of spatial-temporal variability of soil properties on crop growth in management zones within an irrigated maize field in Northwest China," Agricultural Water Management, Elsevier, vol. 244(C).
    • Handle: RePEc:eee:agiwat:v:244:y:2021:i:c:s0378377420320825
    DOI: 10.1016/j.agwat.2020.106535
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    1. Bogdan Saletnik & Grzegorz Zagula & Marcin Bajcar & Maria Czernicka & Czeslaw Puchalski, 2018. "Biochar and Biomass Ash as a Soil Ameliorant: The Effect on Selected Soil Properties and Yield of Giant Miscanthus (Miscanthus x giganteus)," Energies, MDPI, vol. 11(10), pages 1-24, September.
    2. Li, Sien & Kang, Shaozhong & Zhang, Lu & Du, Taisheng & Tong, Ling & Ding, Risheng & Guo, Weihua & Zhao, Peng & Chen, Xia & Xiao, Huan, 2015. "Ecosystem water use efficiency for a sparse vineyard in arid northwest China," Agricultural Water Management, Elsevier, vol. 148(C), pages 24-33.
    3. Kiboi, M.N. & Ngetich, K.F. & Fliessbach, A. & Muriuki, A. & Mugendi, D.N., 2019. "Soil fertility inputs and tillage influence on maize crop performance and soil water content in the Central Highlands of Kenya," Agricultural Water Management, Elsevier, vol. 217(C), pages 316-331.
    4. Du, Taisheng & Kang, Shaozhong & Sun, Jingsheng & Zhang, Xiying & Zhang, Jianhua, 2010. "An improved water use efficiency of cereals under temporal and spatial deficit irrigation in north China," Agricultural Water Management, Elsevier, vol. 97(1), pages 66-74, January.
    5. Kang, Shaozhong & Zhang, Lu & Liang, Yinli & Hu, Xiaotao & Cai, Huanjie & Gu, Binjie, 2002. "Effects of limited irrigation on yield and water use efficiency of winter wheat in the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 55(3), pages 203-216, June.
    6. Chung Dongjun & Keles Sunduz, 2010. "Sparse Partial Least Squares Classification for High Dimensional Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 9(1), pages 1-32, March.
    7. Li, Xiumei & Zhao, Weixia & Li, Jiusheng & Li, Yanfeng, 2019. "Maximizing water productivity of winter wheat by managing zones of variable rate irrigation at different deficit levels," Agricultural Water Management, Elsevier, vol. 216(C), pages 153-163.
    8. Nouri, Milad & Homaee, Mehdi & Bannayan, Mohammad & Hoogenboom, Gerrit, 2016. "Towards modeling soil texture-specific sensitivity of wheat yield and water balance to climatic changes," Agricultural Water Management, Elsevier, vol. 177(C), pages 248-263.
    9. Oppong Danso, E. & Abenney-Mickson, S. & Sabi, E.B. & Plauborg, F. & Abekoe, M. & Kugblenu, Y.O. & Jensen, C.R. & Andersen, M.N., 2015. "Effect of different fertilization and irrigation methods on nitrogen uptake, intercepted radiation and yield of okra (Abelmoschus esculentum L.) grown in the Keta Sand Spit of Southeast Ghana," Agricultural Water Management, Elsevier, vol. 147(C), pages 34-42.
    10. Mansouri-Far, Cyrus & Modarres Sanavy, Seyed Ali Mohammad & Saberali, Seyed Farhad, 2010. "Maize yield response to deficit irrigation during low-sensitive growth stages and nitrogen rate under semi-arid climatic conditions," Agricultural Water Management, Elsevier, vol. 97(1), pages 12-22, January.
    11. Jalota, S.K. & Singh, Sukhvinder & Chahal, G.B.S. & Ray, S.S. & Panigraghy, S. & Bhupinder-Singh & Singh, K.B., 2010. "Soil texture, climate and management effects on plant growth, grain yield and water use by rainfed maize-wheat cropping system: Field and simulation study," Agricultural Water Management, Elsevier, vol. 97(1), pages 83-90, January.
    12. Muschietti-Piana, Maria del Pilar & Cipriotti, Pablo Ariel & Urricariet, Susana & Peralta, Nahuel Raul & Niborski, Mauricio, 2018. "Using site-specific nitrogen management in rainfed corn to reduce the risk of nitrate leaching," Agricultural Water Management, Elsevier, vol. 199(C), pages 61-70.
    13. Müller, T. & Ranquet Bouleau, C. & Perona, P., 2016. "Optimizing drip irrigation for eggplant crops in semi-arid zones using evolving thresholds," Agricultural Water Management, Elsevier, vol. 177(C), pages 54-65.
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    1. Adriano Adelcino Anselmi & José Paulo Molin & Helizani Couto Bazame & Lucas de Paula Corrêdo, 2021. "Definition of Optimal Maize Seeding Rates Based on the Potential Yield of Management Zones," Agriculture, MDPI, vol. 11(10), pages 1-16, September.
    2. Li, Yifei & Huang, Shengzhi & Wang, Hanye & Zheng, Xudong & Huang, Qiang & Deng, Mingjiang & Peng, Jian, 2022. "High-resolution propagation time from meteorological to agricultural drought at multiple levels and spatiotemporal scales," Agricultural Water Management, Elsevier, vol. 262(C).
    3. Chen, Shichao & Parsons, David & Du, Taisheng & Kumar, Uttam & Wang, Sufen, 2021. "Simulation of yield and water balance using WHCNS and APSIM combined with geostatistics across a heterogeneous field," Agricultural Water Management, Elsevier, vol. 258(C).

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