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Assessment of Potato Farmland Soil Nutrient Based on MDS-SQI Model in the Loess Plateau

Author

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  • Yingying Xing

    (College of Life Sciences, Yan’an University, Yan’an 716000, China)

  • Ning Wang

    (College of Life Sciences, Yan’an University, Yan’an 716000, China)

  • Xiaoli Niu

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, China)

  • Wenting Jiang

    (College of Life Sciences, Yan’an University, Yan’an 716000, China)

  • Xiukang Wang

    (College of Life Sciences, Yan’an University, Yan’an 716000, China)

Abstract

Soil nutrients are essential nutrients provided by soil for plant growth. Most researchers focus on the coupling effect of nutrients with potato yield and quality. There are few studies on the evaluation of soil nutrients in potato fields. The purpose of this study is to investigate the soil nutrients of potato farmland and the soil vertical nutrient distributions, and then to provide a theoretical and experimental basis for the fertilizer management practices for potatoes in Loess Plateau. Eight physical and chemical soil indexes were selected in the study area, and 810 farmland soil samples from the potato agriculture product areas were analyzed in Northern Shaanxi. The paper established the minimum data set (MDS) for the quality diagnosis of the cultivated layer for farmland by principal component analysis (PCA), respectively, and furthermore, analyzed the soil nutrient characteristics of the cultivated layer adopted soil quality index (SQI). The results showed that the MDS on soil quality diagnosis of the cultivated layer for farmland soil included such indicators as the soil organic matter content, soil available potassium content, and soil available phosphorus content. The comprehensive index value of the soil quality was between 0.064 and 0.302. The SPSS average clustering process used to classify SQI was divided into three grades: class I (36.2%) was defined as suitable soil fertility (SQI < 0.122), class II (55.6%) was defined as moderate soil fertility (0.122 < SQI < 0.18), and class III (8.2%) was defined as poor soil fertility (SQI > 0.186). The comprehensive quality of the potato farmland soils was generally low. The proportion of soil nutrients in the SQI composition ranged from large to small as the soil available potassium content = soil available phosphorus content > soil organic matter content, which became the limiting factor of the soil organic matter content in this area. This study revolves around the 0 to 60 cm soil layer; the soil fertility decreased gradually with the soil depth, and had significant differences between the respective soil layers. In order to improve the soil nutrient accumulation and potato yield in potato farmland in northern Shaanxi, it is suggested to increase the fertilization depth (20 to 40 cm) and further study the ratio of nitrogen, phosphorus, and potassium fertilizer.

Suggested Citation

  • Yingying Xing & Ning Wang & Xiaoli Niu & Wenting Jiang & Xiukang Wang, 2021. "Assessment of Potato Farmland Soil Nutrient Based on MDS-SQI Model in the Loess Plateau," Sustainability, MDPI, vol. 13(7), pages 1-13, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3957-:d:529116
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    References listed on IDEAS

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    1. Wang, Xiukang & Guo, Tao & Wang, Yi & Xing, Yingying & Wang, Yanfeng & He, Xiaolong, 2020. "Exploring the optimization of water and fertilizer management practices for potato production in the sandy loam soils of Northwest China based on PCA," Agricultural Water Management, Elsevier, vol. 237(C).
    2. Ning Wang & Yingying Xing & Xiukang Wang, 2019. "Exploring Options for Improving Potato Productivity through Reducing Crop Yield Gap in Loess Plateau of China Based on Grey Correlation Analysis," Sustainability, MDPI, vol. 11(20), pages 1-14, October.
    3. Frits K. Van Evert & Daniel Gaitán-Cremaschi & Spyros Fountas & Corné Kempenaar, 2017. "Can Precision Agriculture Increase the Profitability and Sustainability of the Production of Potatoes and Olives?," Sustainability, MDPI, vol. 9(10), pages 1-24, October.
    4. Panigrahi, P. & Srivastava, A.K. & Panda, D.K. & Huchche, A.D., 2017. "Rainwater, soil and nutrients conservation for improving productivity of citrus orchards in a drought prone region," Agricultural Water Management, Elsevier, vol. 185(C), pages 65-77.
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    6. Mohamed K. Abdel-Fattah & Elsayed Said Mohamed & Enas M. Wagdi & Sahar A. Shahin & Ali A. Aldosari & Rosa Lasaponara & Manal A. Alnaimy, 2021. "Quantitative Evaluation of Soil Quality Using Principal Component Analysis: The Case Study of El-Fayoum Depression Egypt," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
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    2. Víctor Rolo, 2022. "Agroforestry for Sustainable Food Production," Sustainability, MDPI, vol. 14(16), pages 1-3, August.

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