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Regulated deficit irrigation strategies for different potato cultivars under continental Mediterranean-Atlantic conditions

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  • Martínez-Romero, A.
  • Domínguez, A.
  • Landeras, G.

Abstract

This paper presents the calibration and validation processes of the MOPECO model for the simulation of 4 commercial potato cultivars (Zorba, Mirari, Monalisa and Leire), using the data from a three-year field experiment (years 2010, 2011 and 2012; two per cultivar) under deficit irrigation conditions in the Basque Country region of Spain. The optimized regulated deficit irrigation (ORDI) strategy was used in combination with the typical meteorological year (TMY) methodology to determine irrigation strategies aimed at increasing the irrigation water productivity of potato crop under real farming conditions and limited volumes of irrigation water. The growing degree-days for the whole growth cycle were 1958 °Cd, while the calibrated crop yield response (Ky) values for the growth stages proposed by FAO-56 were 0.45 (vegetative period), 0.70 to 0.90 (yield formation), and 0.25 to 0.40 (ripening) depending on the considered cultivar. The validation results showed that MOPECO is suitable for simulating the yield versus total water (gross irrigation + effective rainfall) use under the climatic and soil conditions in this study (normalized root mean square error from 7.2 to 8.5% between observed and simulated levels). ORDI maximized the yield of the crop for different volumes of available irrigation water. The irrigation water productivity differed according to the cultivar, increasing for lower volumes of irrigation water (from 23.0 kg m−3 to 58.1 kg m−3 for Monalisa and Mirari cultivars, irrigated with 100% and 40% of the requirements, respectively).

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  • Martínez-Romero, A. & Domínguez, A. & Landeras, G., 2019. "Regulated deficit irrigation strategies for different potato cultivars under continental Mediterranean-Atlantic conditions," Agricultural Water Management, Elsevier, vol. 216(C), pages 164-176.
    • Handle: RePEc:eee:agiwat:v:216:y:2019:i:c:p:164-176
    DOI: 10.1016/j.agwat.2019.01.030
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    12. Domínguez, A. & Martínez-Navarro, A. & López-Mata, E. & Tarjuelo, J.M. & Martínez-Romero, A., 2017. "Real farm management depending on the available volume of irrigation water (part I): Financial analysis," Agricultural Water Management, Elsevier, vol. 192(C), pages 71-84.
    13. López-Mata, E. & Orengo-Valverde, J.J. & Tarjuelo, J.M. & Martínez-Romero, A. & Domínguez, A., 2016. "Development of a direct-solution algorithm for determining the optimal crop planning of farms using deficit irrigation," Agricultural Water Management, Elsevier, vol. 171(C), pages 173-187.
    14. Linker, Raphael & Ioslovich, Ilya & Sylaios, Georgios & Plauborg, Finn & Battilani, Adriano, 2016. "Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato," Agricultural Water Management, Elsevier, vol. 163(C), pages 236-243.
    15. Domínguez, A. & Martínez-Romero, A. & Leite, K.N. & Tarjuelo, J.M. & de Juan, J.A. & López-Urrea, R., 2013. "Combination of typical meteorological year with regulated deficit irrigation to improve the profitability of garlic growing in central spain," Agricultural Water Management, Elsevier, vol. 130(C), pages 154-167.
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    3. Pardo, J.J. & Sánchez-Virosta, A. & Léllis, B.C. & Domínguez, A. & Martínez-Romero, A., 2022. "Physiological basis to assess barley response to optimized regulated deficit irrigation for limited volumes of water (ORDIL)," Agricultural Water Management, Elsevier, vol. 274(C).
    4. Pardo, J.J. & Martínez-Romero, A. & Léllis, B.C. & Tarjuelo, J.M. & Domínguez, A., 2020. "Effect of the optimized regulated deficit irrigation methodology on water use in barley under semiarid conditions," Agricultural Water Management, Elsevier, vol. 228(C).
    5. Wang, Xiukang & Guo, Tao & Wang, Yi & Xing, Yingying & Wang, Yanfeng & He, Xiaolong, 2020. "Exploring the optimization of water and fertilizer management practices for potato production in the sandy loam soils of Northwest China based on PCA," Agricultural Water Management, Elsevier, vol. 237(C).
    6. Léllis, B.C. & Martínez-Romero, A. & Schwartz, R.C. & Pardo, J.J. & Tarjuelo, J.M. & Domínguez, A., 2022. "Effect of the optimized regulated deficit irrigation methodology on water use in garlic," Agricultural Water Management, Elsevier, vol. 260(C).
    7. Kelly, T.D. & Foster, T., 2021. "AquaCrop-OSPy: Bridging the gap between research and practice in crop-water modeling," Agricultural Water Management, Elsevier, vol. 254(C).
    8. Martínez-Romero, A. & López-Urrea, R. & Montoya, F. & Pardo, J.J. & Domínguez, A., 2021. "Optimization of irrigation scheduling for barley crop, combining AquaCrop and MOPECO models to simulate various water-deficit regimes," Agricultural Water Management, Elsevier, vol. 258(C).
    9. Wang, Haidong & Cheng, Minghui & Zhang, Shaohui & Fan, Junliang & Feng, Hao & Zhang, Fucang & Wang, Xiukang & Sun, Lijun & Xiang, Youzhen, 2021. "Optimization of irrigation amount and fertilization rate of drip-fertigated potato based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation methods," Agricultural Water Management, Elsevier, vol. 256(C).
    10. Wang, Xiao-Ling & Sun, Run-Hong & Wu, Di & Qi, Lin & Liu, Yu-Hua & Shi, Jiang & Li, Xue-Lin & Song, Peng & Zhang, Li-Xia, 2021. "Increasing corn compensatory growth upon post-drought rewatering using ammonia-oxidising bacterial strain inoculation," Agricultural Water Management, Elsevier, vol. 256(C).
    11. Pereira, L.S. & Paredes, P. & López-Urrea, R. & Hunsaker, D.J. & Mota, M. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for vegetable crops, an update of FAO56 crop water requirements approach," Agricultural Water Management, Elsevier, vol. 243(C).

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