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Particle Size Imbalance Index from Compositional Analysis to Evaluate Cereal Sustainability for Arid Soils in Eastern Algeria

Author

Listed:
  • Siham Zaaboubi

    (LAPAPEZA Laboratory, Department of Agriculture, Institute of Veterinary and Agricultural Sciences, Batna 1 University, aisles May 19, Route de Biskra, Batna 05000, Algeria)

  • Lotfi Khiari

    (Soil and Fertilizer Research in Africa, Mohammed VI Polytechnic University, Lot 660, Hay Moulay Rachid, Ben Guerir 43150, Morocco
    Department of Soils and Food Engineering, Faculty of Agriculture and Food Sciences, Paul-Comtois Building. 2425, Rue de l’Agriculture, Laval University, Quebec, QC G1A 0A6, Canada)

  • Salah Abdesselam

    (LAPAPEZA Laboratory, Department of Agriculture, Institute of Veterinary and Agricultural Sciences, Batna 1 University, aisles May 19, Route de Biskra, Batna 05000, Algeria)

  • Jacques Gallichand

    (Department of Soils and Food Engineering, Faculty of Agriculture and Food Sciences, Paul-Comtois Building. 2425, Rue de l’Agriculture, Laval University, Quebec, QC G1A 0A6, Canada)

  • Fassil Kebede

    (Soil and Fertilizer Research in Africa, Mohammed VI Polytechnic University, Lot 660, Hay Moulay Rachid, Ben Guerir 43150, Morocco)

  • Ghouati Kerrache

    (LAPAPEZA Laboratory, Department of Agriculture, Institute of Veterinary and Agricultural Sciences, Batna 1 University, aisles May 19, Route de Biskra, Batna 05000, Algeria)

Abstract

For homogeneous fertilization and crop management practices, this work hypothesized that texture could influence cereal yield, particularly in dry regions. Particle size analysis could help improve knowledge of the soil-plant relationship to obtain favorable conditions for better yield. The objective of this work is to develop a single granulometric index for durum wheat ( Triticum durum ) that is well correlated with yield. For this purpose, 350 independent samples of cereal soils from eastern Algeria were taken and the recorded yields were linked to these samples. The cutoff yield, which separates sub-populations with acceptable yield from those with less acceptable yield, was determined from the inflection point of the cumulative variance ratio functions related to yield by the Richards’ equation. The result obtained is 2.0 Mg.ha −1 , with a theoretical critical chi-square value of 4.2, close to 4.6, which is the critical value of r 2 granulo as obtained by the Cate-Nelson procedure. The five-granulometric indices were found to be symmetrical around zero as follows: ±0.83 for clay (I C ), ±1.73 for fine silt (I FL ), ±0.31 for coarse silt (I CL ), ±0.44 for fine sand (I FS ), and ±1.30 for coarse sand (I CS ). The two fractions that most influence the textural imbalance are fine silt (I FL ) and coarse sand (I CS ), with a contribution of 41% and 37%, respectively. The critical single imbalance index r g r a n u l o 2 can be used for determining cereal suitability for soils in the arid region of eastern Algeria. The lower the r g r a n u l o 2 is, the better the soil for cereal crops.

Suggested Citation

  • Siham Zaaboubi & Lotfi Khiari & Salah Abdesselam & Jacques Gallichand & Fassil Kebede & Ghouati Kerrache, 2020. "Particle Size Imbalance Index from Compositional Analysis to Evaluate Cereal Sustainability for Arid Soils in Eastern Algeria," Agriculture, MDPI, vol. 10(7), pages 1-10, July.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:7:p:296-:d:384432
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    References listed on IDEAS

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    1. Jalota, S.K. & Sood, Anil & Chahal, G.B.S. & Choudhury, B.U., 2006. "Crop water productivity of cotton (Gossypium hirsutum L.)-wheat (Triticum aestivum L.) system as influenced by deficit irrigation, soil texture and precipitation," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 137-146, July.
    2. Ludwig, Fulco & Asseng, Senthold, 2006. "Climate change impacts on wheat production in a Mediterranean environment in Western Australia," Agricultural Systems, Elsevier, vol. 90(1-3), pages 159-179, October.
    3. John Aitchison & Michael Greenacre, 2002. "Biplots of compositional data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(4), pages 375-392, October.
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    Cited by:

    1. Vito Armando Laudicina & Paolo Ruisi & Luigi Badalucco, 2023. "Soil Quality and Crop Nutrition," Agriculture, MDPI, vol. 13(7), pages 1-4, July.

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