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Identifying irrigation and nitrogen best management practices for aerobic rice–maize cropping system for semi-arid tropics using CERES-rice and maize models

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  • Kadiyala, M.D.M.
  • Jones, J.W.
  • Mylavarapu, R.S.
  • Li, Y.C.
  • Reddy, M.D.

Abstract

Research based development of best management options for aerobic rice–maize cropping systems must be developed to improve water and nitrogen use efficiency. The main objective of this study was to identify water saving rice production technology for rice grown in sandy loam soils in semi-arid conditions using the calibrated CERES-Rice and Maize models of the Decision Support System for Agro Technology Transfer (DSSAT). A two-year experiment with two different crop establishment methods viz., aerobic rice and flooded rice with four nitrogen rates followed by maize under zero tilled conditions was used to calibrate and evaluate DSSAT CERES-Rice and CERES-Maize models. The calibrated models were used to develop best management options for an aerobic rice–maize sequence which can produce similar yields with water savings relative to that of traditional flooded rice–maize system. The results showed that application of 180kgNha−1 in four splits and automatic irrigation with 40mm, when soil available water (ASW) in top 30cm fell below to 60% was the best management combination for aerobic rice, saving 41% of water while producing 96% of the yield attainable under flooded conditions. Similarly for maize, application of 120kgNha−1 and irrigation with 30mm of water at 40% ASW in the top 30cm soil was the most dominant management option. Further, application of 180kgNha−1 with rice followed by 120kgNha−1 in maize provided stable yield for both aerobic and flooded rice systems over time as simulated by the model. The results illustrate that DSSAT model is a useful tool for evaluating alternative management options aimed at maintaining yields and saving water in rice–maize systems in semi-arid regions.

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  • Kadiyala, M.D.M. & Jones, J.W. & Mylavarapu, R.S. & Li, Y.C. & Reddy, M.D., 2015. "Identifying irrigation and nitrogen best management practices for aerobic rice–maize cropping system for semi-arid tropics using CERES-rice and maize models," Agricultural Water Management, Elsevier, vol. 149(C), pages 23-32.
    • Handle: RePEc:eee:agiwat:v:149:y:2015:i:c:p:23-32
    DOI: 10.1016/j.agwat.2014.10.019
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    1. Jeong, Hanseok & Jang, Taeil & Seong, Chounghyun & Park, Seungwoo, 2014. "Assessing nitrogen fertilizer rates and split applications using the DSSAT model for rice irrigated with urban wastewater," Agricultural Water Management, Elsevier, vol. 141(C), pages 1-9.
    2. Timsina, J. & Humphreys, E., 2006. "Performance of CERES-Rice and CERES-Wheat models in rice-wheat systems: A review," Agricultural Systems, Elsevier, vol. 90(1-3), pages 5-31, October.
    3. Liu, H.L. & Yang, J.Y. & Tan, C.S. & Drury, C.F. & Reynolds, W.D. & Zhang, T.Q. & Bai, Y.L. & Jin, J. & He, P. & Hoogenboom, G., 2011. "Simulating water content, crop yield and nitrate-N loss under free and controlled tile drainage with subsurface irrigation using the DSSAT model," Agricultural Water Management, Elsevier, vol. 98(6), pages 1105-1111, April.
    4. O'Neal, Monte R. & Frankenberger, Jane R. & Ess, Daniel R., 2002. "Use of CERES-Maize to study effect of spatial precipitation variability on yield," Agricultural Systems, Elsevier, vol. 73(2), pages 205-225, August.
    5. Timsina, J. & Godwin, D. & Humphreys, E. & Yadvinder-Singh & Bijay-Singh & Kukal, S.S. & Smith, D., 2008. "Evaluation of options for increasing yield and water productivity of wheat in Punjab, India using the DSSAT-CSM-CERES-Wheat model," Agricultural Water Management, Elsevier, vol. 95(9), pages 1099-1110, September.
    6. Behera, S.K. & Panda, R.K., 2009. "Integrated management of irrigation water and fertilizers for wheat crop using field experiments and simulation modeling," Agricultural Water Management, Elsevier, vol. 96(11), pages 1532-1540, November.
    7. Rinaldi, Michele & Ventrella, Domenico & Gagliano, Caterina, 2007. "Comparison of nitrogen and irrigation strategies in tomato using CROPGRO model. A case study from Southern Italy," Agricultural Water Management, Elsevier, vol. 87(1), pages 91-105, January.
    8. He, Jianqiang & Dukes, Michael D. & Hochmuth, George J. & Jones, James W. & Graham, Wendy D., 2012. "Identifying irrigation and nitrogen best management practices for sweet corn production on sandy soils using CERES-Maize model," Agricultural Water Management, Elsevier, vol. 109(C), pages 61-70.
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    5. Xiaoning Hang & Frederick Danso & Jia Luo & Dunxiu Liao & Jian Zhang & Jun Zhang, 2022. "Effects of Water-Saving Irrigation on Direct-Seeding Rice Yield and Greenhouse Gas Emissions in North China," Agriculture, MDPI, vol. 12(7), pages 1-11, June.
    6. Amiri, E. & Irmak, S. & Araji, H. Ahmadzadeh, 2022. "Assessment of CERES-Maize model in simulating maize growth, yield and soil water content under rainfed, limited and full irrigation," Agricultural Water Management, Elsevier, vol. 259(C).
    7. Mohamadzade, Fahime & Gheysari, Mahdi & Eshghizadeh, Hamidreza & Tabatabaei, Mahsa Sadat & Hoogenboom, Gerrit, 2022. "The effect of water and nitrogen on drip tape irrigated silage maize grown under arid conditions: Experimental and simulations," Agricultural Water Management, Elsevier, vol. 271(C).
    8. Yahui Guo & Wenxiang Wu & Mingzhu Du & Christopher Robin Bryant & Yong Li & Yuyi Wang & Han Huang, 2019. "Assessing Potential Climate Change Impacts and Adaptive Measures on Rice Yields: The Case of Zhejiang Province in China," Sustainability, MDPI, vol. 11(8), pages 1-22, April.
    9. Malik, Wafa & Isla, Ramon & Dechmi, Farida, 2019. "DSSAT-CERES-maize modelling to improve irrigation and nitrogen management practices under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 213(C), pages 298-308.

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