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Water use - yield relationship of maize as influenced by biochar and inorganic fertilizer applications in a tropical sandy clay loam soil

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  • Babalola, Toju Esther
  • Adabembe, Bolaji Adelanke
  • Faloye, Oluwaseun Temitope

Abstract

Empirical relationship between maize yield and evapotranspiration as influenced by biochar and inorganic fertilizer has been scarcely investigated. Therefore, the study's objectives are to; (i) determine the yield response factor (Ky) of maize under drip irrigation with/without biochar and inorganic fertilizer application; (ii) determine if soil hydrophysical and chemical properties affect the response of maize to water stress under biochar and inorganic fertilizer applications, and (iii) determine the possible mechanism by which biochar improves yield and water use efficiency of maize under deficit irrigation. Field experiments were carried out using a factorial design. Two rates of biochar application (0 and 20 t/ha), two levels of fertilizer (0 and 300 kg/ha) were adopted under three water management strategies (100 % of Full Irrigation Treatment; FIT, 80 % FIT, and 60 % FIT) using drip irrigation. The crop evapotranspiration was determined using the soil water budget method while the grain yields were measured at harvest. Soil samples were collected at harvest and analyzed for chemical and physical properties. The relationship between maize yield, soil properties and Ky were determined using correlation analysis. Results from the study showed that the sensitivity of maize crops to water stress was greater than one 1 but reduced in soil treated with biochar compared to those without biochar. Ky under the unamended plot was 1.64 and reduced to 1.52 when applied with biochar. Ky was 1.45 in soil amended with only inorganic fertilizer and reduced to 1.27 when co-applied with biochar. Biochar decreased water depletion by maize, with the highest reduction in soil water depletion occurring in treatments that received the least water. A significant (P < 0.05) correlation between Ky and the soil properties showed that the soil chemical (Nitrogen, Phosphorus and Potassium) properties are primarily responsible for the reduced sensitivity of maize yield to water stress.

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  • Babalola, Toju Esther & Adabembe, Bolaji Adelanke & Faloye, Oluwaseun Temitope, 2022. "Water use - yield relationship of maize as influenced by biochar and inorganic fertilizer applications in a tropical sandy clay loam soil," Agricultural Water Management, Elsevier, vol. 271(C).
    • Handle: RePEc:eee:agiwat:v:271:y:2022:i:c:s0378377422003481
    DOI: 10.1016/j.agwat.2022.107801
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    References listed on IDEAS

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    1. Enujeke, E.C., 2013. "Effects of Variety and Spacing on Growth Characters of Hybrid Maize," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 3(05), pages 1-15, May.
    2. Ko, Jonghan & Piccinni, Giovanni, 2009. "Corn yield responses under crop evapotranspiration-based irrigation management," Agricultural Water Management, Elsevier, vol. 96(5), pages 799-808, May.
    3. Geerts, Sam & Raes, Dirk, 2009. "Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas," Agricultural Water Management, Elsevier, vol. 96(9), pages 1275-1284, September.
    4. Farré, I. & Faci, J.-M., 2009. "Deficit irrigation in maize for reducing agricultural water use in a Mediterranean environment," Agricultural Water Management, Elsevier, vol. 96(3), pages 383-394, March.
    5. Gheysari, Mahdi & Mirlatifi, Seyed Majid & Bannayan, Mohammad & Homaee, Mehdi & Hoogenboom, Gerrit, 2009. "Interaction of water and nitrogen on maize grown for silage," Agricultural Water Management, Elsevier, vol. 96(5), pages 809-821, May.
    6. Igbadun, Henry E. & Ramalan, A.A. & Oiganji, Ezekiel, 2012. "Effects of regulated deficit irrigation and mulch on yield, water use and crop water productivity of onion in Samaru, Nigeria," Agricultural Water Management, Elsevier, vol. 109(C), pages 162-169.
    7. Er-Raki, S. & Chehbouni, A. & Guemouria, N. & Duchemin, B. & Ezzahar, J. & Hadria, R., 2007. "Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region," Agricultural Water Management, Elsevier, vol. 87(1), pages 41-54, January.
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    2. Ying Wang & Shudong Zhou & Guanghui Jiang, 2023. "Can the Application of Environmentally Friendly Fertilisers Reduce Agricultural Labour Input? Empirical Evidence from Peanut Farmers in China," Sustainability, MDPI, vol. 15(4), pages 1-18, February.

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