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Irrigation scheduling of maize based on plant and soil indices with surface drip irrigation subjected to different irrigation regimes

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  • Khorsand, Afshin
  • Rezaverdinejad, Vahid
  • Asgarzadeh, Hossein
  • Majnooni-Heris, Abolfazl
  • Rahimi, Amir
  • Besharat, Sina

Abstract

A study was conducted on a research farm at Urmia University under drip irrigation in order to schedule the irrigation of maize based on plant indices: crop water stress index (CWSI) and relative water content (RWC) and soil indices: soil water (SW) and soil penetration resistance (Q) in climatic conditions of Urmia region in Iran. This study was conducted in the form of randomized complete block design with four irrigation levels including two levels of deficit irrigation (I1) (Crop water requirement (CWR) of 0.5) and I2 (0.75CWR), a full-irrigation level of I3 (1.0CWR) and an over-irrigation level of I4 (1.25CWR) with three replications. I4 treatment for air-filled porosity was considered in the soil. For irrigation scheduling, lower and upper baseline and CWSI equations for I1, I2 and I3 treatments were calculated during plant growth period. Using the extracted baselines, the mean CWSI values during maize growth season for I1, I2 and I3 treatments were calculated to be 0.53, 0.44 and 0.28 respectively. The threshold limit of water stress index of I3 treatment was the basis of irrigation scheduling. Then, relationships were provided for determining the irrigation time using CWSI in Urmia climate for three maize growth stages. In addition, among soil and plant indices which were simultaneously measured at maximum stress hour were used as a complementary indicator to eliminate CWSI constraints. Using the regression relationships extracted between the indices, the water status of plant can be determined by only measuring the canopy temperature (Tc) without measuring the RWC, SW and Q. It should be noted that in the region of Urmia, the critical values of the difference between the Tc and the air temperature, Q and SW for maize were respectively 1.5 °C, 3.6 MPa and 0.27 cm3 cm−3 (matric potential of 8900 hPa).

Suggested Citation

  • Khorsand, Afshin & Rezaverdinejad, Vahid & Asgarzadeh, Hossein & Majnooni-Heris, Abolfazl & Rahimi, Amir & Besharat, Sina, 2019. "Irrigation scheduling of maize based on plant and soil indices with surface drip irrigation subjected to different irrigation regimes," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    • Handle: RePEc:eee:agiwat:v:224:y:2019:i:c:15
    DOI: 10.1016/j.agwat.2019.105740
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    References listed on IDEAS

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    1. Mohammadi, Adel & Besharat, Sina & Abbasi, Fariborz, 2019. "Effects of irrigation and fertilization management on reducing nitrogen losses and increasing corn yield under furrow irrigation," Agricultural Water Management, Elsevier, vol. 213(C), pages 1116-1129.
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    3. Das, Susanta & Kaur, Samanpreet & Sharma, Vivek, 2024. "Determination of threshold crop water stress index for sub-surface drip irrigated maize-wheat cropping sequence in semi-arid region of Punjab," Agricultural Water Management, Elsevier, vol. 301(C).
    4. Zhang, Liyuan & Zhang, Huihui & Zhu, Qingzhen & Niu, Yaxiao, 2023. "Further investigating the performance of crop water stress index for maize from baseline fluctuation, effects of environmental factors, and variation of critical value," Agricultural Water Management, Elsevier, vol. 285(C).
    5. França, Ana Carolina Ferreira & Coelho, Rubens Duarte & da Silva Gundim, Alice & de Oliveira Costa, Jéfferson & Quiloango-Chimarro, Carlos Alberto, 2024. "Effects of different irrigation scheduling methods on physiology, yield, and irrigation water productivity of soybean varieties," Agricultural Water Management, Elsevier, vol. 293(C).
    6. Zhang, Liyuan & Zhang, Huihui & Han, Wenting & Niu, Yaxiao & Chávez, José L. & Ma, Weitong, 2022. "Effects of image spatial resolution and statistical scale on water stress estimation performance of MGDEXG: A new crop water stress indicator derived from RGB images," Agricultural Water Management, Elsevier, vol. 264(C).
    7. Nandan, Rohit & Woo, Dong K. & Kumar, Praveen & Adinarayana, J., 2021. "Impact of irrigation scheduling methods on corn yield under climate change," Agricultural Water Management, Elsevier, vol. 255(C).

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