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Adaptation of water and nitrogen management to future climates for sustaining potato yield in Minnesota: Field and simulation study

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  • Vashisht, B.B.
  • Nigon, T.
  • Mulla, D.J.
  • Rosen, C.
  • Xu, H.
  • Twine, T.
  • Jalota, S.K.

Abstract

The present study focuses on (i) evaluation of potato crop yield under present time slice (PTS) with recommended management of nitrogen (N) fertilizer and irrigation on sandy soils of Minnesota, USA (ii) simulation of potato productivity and nitrate leaching with the SUBSTOR DSSAT-potato model in a projected future climatic environment (2038–2067) and (iii) evaluation of alternative irrigation and N management strategies with the DSSAT model as adaptation measures to minimize climate change impacts. Ensemble global climate model output for each of three future mid-century (MC) 10-years time slices of crop growing season predicts increases in maximum temperature (Tmax) of 0.7, 1.2 and 2.1°C; and in minimum temperature (Tmin) of 0.6, 1.3 and 2.0°C in MC1 (2038–2047), MC2 (2048–2057) and MC3 (2058–2067), respectively, during the tuber bulking periods. Rainfall (RF) of 253.1mm in PTS decreased by 29.7, 16.7 and 6.5mm in MC1–MC3, respectively. Under the changed climate, simulations indicated decreases in potato yields of 19–29%, harvest index of 4–9% and water use efficiency of 22–32% compared with current irrigation and fertilizer rates (260mm irrigation, 270kgha−1 N fertilizer). Potato yields could be sustained at present levels by increasing irrigation levels to 390mm, with 450kgha−1 N in the years 2038–2047; and 326 and 390mm irrigation with 450kgNha−1 in year 2048–2057. However, leaching losses in 2048–2057 would increase (relative to current losses) by 34–62%. In the years 2058–2067 yield in the region evaluated can no longer be sustained with increased N and irrigation levels and leaching losses would increase by 41–67%. Use of varieties tolerant to drought and heat or adapting alternative cultural practices will be required to maintain productivity.

Suggested Citation

  • Vashisht, B.B. & Nigon, T. & Mulla, D.J. & Rosen, C. & Xu, H. & Twine, T. & Jalota, S.K., 2015. "Adaptation of water and nitrogen management to future climates for sustaining potato yield in Minnesota: Field and simulation study," Agricultural Water Management, Elsevier, vol. 152(C), pages 198-206.
  • Handle: RePEc:eee:agiwat:v:152:y:2015:i:c:p:198-206
    DOI: 10.1016/j.agwat.2015.01.011
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    References listed on IDEAS

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    1. 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.
    2. Rosenzweig, Cynthia & Phillips, Jennifer & Goldberg, Richard & Carroll, John & Hodges, Tom, 1996. "Potential impacts of climate change on citrus and potato production in the US," Agricultural Systems, Elsevier, vol. 52(4), pages 455-479, December.
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    2. 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).
    3. Samira Shayanmehr & Shida Rastegari Henneberry & Mahmood Sabouhi Sabouni & Naser Shahnoushi Foroushani, 2020. "Climate Change and Sustainability of Crop Yield in Dry Regions Food Insecurity," Sustainability, MDPI, vol. 12(23), pages 1-24, November.
    4. Xu, Jiatun & Cai, Huanjie & Wang, Xiaoyun & Ma, Chenguang & Lu, Yajun & Ding, Yibo & Wang, Xiaowen & Chen, Hui & Wang, Yunfei & Saddique, Qaisar, 2020. "Exploring optimal irrigation and nitrogen fertilization in a winter wheat-summer maize rotation system for improving crop yield and reducing water and nitrogen leaching," Agricultural Water Management, Elsevier, vol. 228(C).
    5. Anna Pecherina & Marina Grinberg & Maria Ageyeva & Tatiana Zdobnova & Maria Ladeynova & Andrey Yudintsev & Vladimir Vodeneev & Anna Brilkina, 2021. "Whole-Plant Measure of Temperature-Induced Changes in the Cytosolic pH of Potato Plants Using Genetically Encoded Fluorescent Sensor Pt-GFP," Agriculture, MDPI, vol. 11(11), pages 1-19, November.

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