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Assessment of climate change impact on maize (Zea mays L.) through aquacrop model in semi-arid alfisol of southern Telangana

Author

Listed:
  • Umesh, Barikara
  • Reddy, K.S.
  • Polisgowdar, B.S.
  • Maruthi, V.
  • Satishkumar, U.
  • Ayyanagoudar, M.S.
  • Rao, Sathyanarayan
  • Veeresh, H.

Abstract

The study was under taken at ICAR-CRIDA, Hyderabad (India) to assess the climate change impact on maize crop. There were five main irrigation treatments viz., I0, I1, I2, I3, I4, two sub treatments viz., M0 (no mulching), M1 (mulching @ 5 t ha−1 with glyricidia) and two sub-sub treatments viz., NF (normal fertilizer) and HF (high fertilizer) to study the effect of supplemental irrigation and crop management practices on maize grain yield and water productivity in semi-arid alfisols of Telangana state. The results of the study indicated that, the highest average grain yield of 3.19 t ha−1 was recorded in I4 and lowest was in I0 (1.78 t ha−1). The highest average water productivity (10.65 kg ha−1 mm−1) was recorded in I4 followed and the lowest was in I0 (7.60 kg ha−1 mm−1). The AquaCrop model was calibrated for simulation of grain yield and water productivity for all treatment levels and the prediction error statistics were 0.94 < E < 0.95 %, 0.06

Suggested Citation

  • Umesh, Barikara & Reddy, K.S. & Polisgowdar, B.S. & Maruthi, V. & Satishkumar, U. & Ayyanagoudar, M.S. & Rao, Sathyanarayan & Veeresh, H., 2022. "Assessment of climate change impact on maize (Zea mays L.) through aquacrop model in semi-arid alfisol of southern Telangana," Agricultural Water Management, Elsevier, vol. 274(C).
    • Handle: RePEc:eee:agiwat:v:274:y:2022:i:c:s0378377422004978
    DOI: 10.1016/j.agwat.2022.107950
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    1. Paoletti, J. Mitchell & Shortridge, Julie E., 2020. "Improved representation of uncertainty in farm-level financial cost-benefit analyses of supplemental irrigation in humid regions," Agricultural Water Management, Elsevier, vol. 239(C).
    2. Mahmood, A. & Oweis, T. & Ashraf, M. & Majid, A. & Aftab, M. & Aadal, N.K. & Ahmad, I., 2015. "Performance of improved practices in farmers’ fields under rainfed and supplemental irrigation systems in a semi-arid area of Pakistan," Agricultural Water Management, Elsevier, vol. 155(C), pages 1-10.
    3. Ahmadi, Mojgan & Etedali, Hadi Ramezani & Elbeltagi, Ahmed, 2021. "Evaluation of the effect of climate change on maize water footprint under RCPs scenarios in Qazvin plain, Iran," Agricultural Water Management, Elsevier, vol. 254(C).
    4. Anshuman Gunawat & Devesh Sharma & Aditya Sharma & Swatantra Kumar Dubey, 2022. "Assessment of climate change impact and potential adaptation measures on wheat yield using the DSSAT model in the semi-arid environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 2077-2096, March.
    5. Zhu, Xiufang & Xu, Kun & Liu, Ying & Guo, Rui & Chen, Lingyi, 2021. "Assessing the vulnerability and risk of maize to drought in China based on the AquaCrop model," Agricultural Systems, Elsevier, vol. 189(C).
    6. Li Fawen & Zhang Manjing & Liu Yaoze, 2022. "Quantitative research on drought loss sensitivity of summer maize based on AquaCrop model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1065-1084, June.
    7. Abedinpour, M. & Sarangi, A. & Rajput, T.B.S. & Singh, Man & Pathak, H. & Ahmad, T., 2012. "Performance evaluation of AquaCrop model for maize crop in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 110(C), pages 55-66.
    8. Xiao, Dengpan & Liu, De Li & Wang, Bin & Feng, Puyu & Bai, Huizi & Tang, Jianzhao, 2020. "Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios," Agricultural Water Management, Elsevier, vol. 238(C).
    9. Sandhu, Rupinder & Irmak, Suat, 2019. "Assessment of AquaCrop model in simulating maize canopy cover, soil-water, evapotranspiration, yield, and water productivity for different planting dates and densities under irrigated and rainfed cond," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    10. Santanu Kumar Bal & Malamal Alickal Sarath Chandran & Sandeep Vadakkemethel Madhavan & Abburi Venkata Maruthi Subba Rao & Narayanan Manikandan & Ramagiri Praveen Kumar & Pramod Valiyaparambil Paramesw, 2022. "Water Demand in Maize Is Projected to Decrease under Changing Climate in India," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    11. Feng, Dingrui & Li, Guangyong & Wang, Dan & Wulazibieke, Mierguli & Cai, Mingkun & Kang, Jing & Yuan, Zicheng & Xu, Houcheng, 2022. "Evaluation of AquaCrop model performance under mulched drip irrigation for maize in Northeast China," Agricultural Water Management, Elsevier, vol. 261(C).
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    5. Zhang, Ting & Zuo, Qiang & Ma, Ning & Shi, Jianchu & Fan, Yuchuan & Wu, Xun & Wang, Lichun & Xue, Xuzhang & Ben-Gal, Alon, 2023. "Optimizing relative root-zone water depletion thresholds to maximize yield and water productivity of winter wheat using AquaCrop," Agricultural Water Management, Elsevier, vol. 286(C).

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