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Contribution of Climate Extremes to Variation in Potato Tuber Yield in Prince Edward Island

Author

Listed:
  • Junaid Maqsood

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A4P3, Canada)

  • Aitazaz A. Farooque

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A4P3, Canada
    School of Climate Change and Adaptation, University of Prince Edward Island, Charlottetown, PE C1A4P3, Canada)

  • Xander Wang

    (School of Climate Change and Adaptation, University of Prince Edward Island, Charlottetown, PE C1A4P3, Canada)

  • Farhat Abbas

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A4P3, Canada)

  • Bishnu Acharya

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A4P3, Canada)

  • Hassan Afzaal

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A4P3, Canada)

Abstract

Agricultural management practices are responsible for almost two-thirds of the variations in potato tuber yield. In order to answer the research question about the remaining variability of the tuber yield, we hypothesized that climate extremes partly explain the missing component of variations of the tuber yield. Therefore, this research attempts to bridge this knowledge gap in order to generate a knowledge base for future strategies. A climate extreme dataset of the Prince Edward Island (PEI) was computed by averaging the data of five meteorological stations. In detail, changing patterns of 20 climate extreme indices were computed with ClimPACT2 software for 30 years (1989-2018) data of PEI. Statistical significance of the trends and their slope values were determined with the Mann-Kendall test and Sen’s slope estimates, respectively. Average of daily mean temperature (TMm), mean daily minimum temperature (TNm) and the occurrence of continuous dry days (CDD), significantly increased by 0.77 °C, 1.17 °C and 3.33 days., respectively, during the potato growing seasons (May-October) of the past three decades. For this period daily temperature range (DTR), frost days (FD), cold days (TX10p), cold nights (TN10p) and warmest days (TXx) showed decreasing trends of −1.01 °C, −3.75 days, −5.67 days, −11.40 nights, and −2.00 days, respectively. The principal component analysis showed that DTR, TXx, CDD, and TNm were the main factors affecting seasonal variations of tuber yield. The multiple regression model attributed ~39% of tuber yield variance to DTR, TXx, CDD, and TNm. However, these indices explained individually 21%, 19%, 16%, and 4% variation to the tuber yield, respectively. The remaining variation in the tuber yield explained by other yield affecting factors. The information generated from this study can be used for future planning about agricultural management strategies in the Island, for example, the provision of water resources for supplemental irrigation of crops during dry months.

Suggested Citation

  • Junaid Maqsood & Aitazaz A. Farooque & Xander Wang & Farhat Abbas & Bishnu Acharya & Hassan Afzaal, 2020. "Contribution of Climate Extremes to Variation in Potato Tuber Yield in Prince Edward Island," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:4937-:d:372660
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    References listed on IDEAS

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    1. 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).
    2. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2012. "Temperature Shocks and Economic Growth: Evidence from the Last Half Century," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 66-95, July.
    3. Hassan Afzaal & Aitazaz A. Farooque & Farhat Abbas & Bishnu Acharya & Travis Esau, 2020. "Precision Irrigation Strategies for Sustainable Water Budgeting of Potato Crop in Prince Edward Island," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
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    Cited by:

    1. Wang, Ying & Shi, Wenjuan & Wen, Tianyang, 2023. "Prediction of winter wheat yield and dry matter in North China Plain using machine learning algorithms for optimal water and nitrogen application," Agricultural Water Management, Elsevier, vol. 277(C).
    2. Junaid Maqsood & Aitazaz A. Farooque & Farhat Abbas & Travis Esau & Xander Wang & Bishnu Acharya & Hassan Afzaal, 2022. "Application of Artificial Neural Networks to Project Reference Evapotranspiration Under Climate Change Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 835-851, February.
    3. Riao, Dao & Guga, Suri & Bao, Yongbin & Liu, Xingping & Tong, Zhijun & Zhang, Jiquan, 2023. "Non-overlap of suitable areas of agro-climatic resources and main planting areas is the main reason for potato drought disaster in Inner Mongolia, China," Agricultural Water Management, Elsevier, vol. 275(C).
    4. Elinor Haldane & Lauren MacDonald & Nolan Kressin & Zoe Furlotte & Pelin Kınay & Ryan Guild & Xander Wang, 2023. "Sustainable Tourism in the Face of Climate Change: An Overview of Prince Edward Island," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    5. Ahmad Zeeshan Bhatti & Aitazaz Ahsan Farooque & Nicholas Krouglicof & Qing Li & Wayne Peters & Farhat Abbas & Bishnu Acharya, 2021. "An Overview of Climate Change Induced Hydrological Variations in Canada for Irrigation Strategies," Sustainability, MDPI, vol. 13(9), pages 1-15, April.

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