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Simulating weather effects on potato yield, nitrate leaching, and profit margin in the US Pacific Northwest

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  • Woli, Prem
  • Hoogenboom, Gerrit

Abstract

The US Pacific Northwest is one of the most productive potato regions in the world. However, due to the high inputs, nitrate contamination of groundwater is frequently documented, and maximizing crop productivity while minimizing nitrate leaching is still challenging. The goal of this study was to assess how irrigation level, soil type, and weather condition during various phenological phases would affect tuber yield and the associated nitrate leaching and profit margin. The Cropping System Model (CSM)-SUBSTOR-Potato was used to simulate the response variables for various scenarios that comprised two soil types, five irrigation levels, five phenological phases, five weather conditions, and 75 years of historical weather data for 3 locations in this region. The simulation results showed that nitrate leaching was higher with a higher amount of irrigation and for a lighter soil. Tuber yield and profit margins were lowest for a lighter soil and highest for 300 mm of irrigation for an extremely-drained soil and 400 mm of irrigation for a well-drained soil. The increase in profit margins with an increase in total irrigation up to 400 mm was highest for a well-drained soil, whereas the decrease in profit margins with an increase in irrigation beyond a total amount of 300 mm was larger for an extremely-drained soil. For the different types of weather scenarios that were studied, only severe hot weather had an impact on tuber yield and profit margins. The reduction was highest at tuber bulking and significant when hot weather continued from sprout development through tuber bulking or from plant establishment through tuber maturation. However, any change in weather condition from the long-term average for any growth phase did not affect leaching. These findings might be helpful to potato growers in this region to protect their potatoes from adverse weather conditions through appropriate mitigation strategies.

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  • Woli, Prem & Hoogenboom, Gerrit, 2018. "Simulating weather effects on potato yield, nitrate leaching, and profit margin in the US Pacific Northwest," Agricultural Water Management, Elsevier, vol. 201(C), pages 177-187.
    • Handle: RePEc:eee:agiwat:v:201:y:2018:i:c:p:177-187
    DOI: 10.1016/j.agwat.2018.01.023
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    References listed on IDEAS

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    1. Woli, Prem & Hoogenboom, Gerrit & Alva, Ashok, 2016. "Simulation of potato yield, nitrate leaching, and profit margins as influenced by irrigation and nitrogen management in different soils and production regions," Agricultural Water Management, Elsevier, vol. 171(C), pages 120-130.
    2. Badr, M.A. & El-Tohamy, W.A. & Zaghloul, A.M., 2012. "Yield and water use efficiency of potato grown under different irrigation and nitrogen levels in an arid region," Agricultural Water Management, Elsevier, vol. 110(C), pages 9-15.
    3. Montoya, F. & Camargo, D. & Ortega, J.F. & Córcoles, J.I. & Domínguez, A., 2016. "Evaluation of Aquacrop model for a potato crop under different irrigation conditions," Agricultural Water Management, Elsevier, vol. 164(P2), pages 267-280.
    4. Poch-Massegú, R. & Jiménez-Martínez, J. & Wallis, K.J. & Ramírez de Cartagena, F. & Candela, L., 2014. "Irrigation return flow and nitrate leaching under different crops and irrigation methods in Western Mediterranean weather conditions," Agricultural Water Management, Elsevier, vol. 134(C), pages 1-13.
    5. Arora, V.K. & Nath, J.C. & Singh, C.B., 2013. "Analyzing potato response to irrigation and nitrogen regimes in a sub-tropical environment using SUBSTOR-Potato model," Agricultural Water Management, Elsevier, vol. 124(C), pages 69-76.
    6. Stastná, M. & Toman, F. & Dufková, J., 2010. "Usage of SUBSTOR model in potato yield prediction," Agricultural Water Management, Elsevier, vol. 97(2), pages 286-290, February.
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    1. Wang, Haidong & Cheng, Minghui & Liao, Zhenqi & Guo, Jinjin & Zhang, Fucang & Fan, Junliang & Feng, Hao & Yang, Qiliang & Wu, Lifeng & Wang, Xiukang, 2023. "Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes," Agricultural Water Management, Elsevier, vol. 276(C).
    2. He, Yong & Liang, Hao & Hu, Kelin & Wang, Hongyuan & Hou, Lingling, 2018. "Modeling nitrogen leaching in a spring maize system under changing climate and genotype scenarios in arid Inner Mongolia, China," Agricultural Water Management, Elsevier, vol. 210(C), pages 316-323.

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