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Impact of Climate Warming on Cotton Growth and Yields in China and Pakistan: A Regional Perspective

  • Adnan Arshad
  • , Muhammad Ali Raza
  • , Yue Zhang
  • , Lizhen Zhang
  • , Xuejiao Wang
  • , Mukhtar Ahmed
  • , Muhammad Habib-ur-Rehman

    Publication: Contribution to journalJournal articlepeer-review

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    Abstract

    Year to year change in weather poses serious threats to agriculture globally, especially in developing countries. Global climate models simulate an increase in global temperature between 2.9 to 5.5 degrees C till 2060, and crop production is highly vulnerable to climate warming trends. Extreme temperature causes a significant reduction in crop yields by negatively regulating the crop phenology. Therefore, to evaluate warming impact on cotton (Gossypium hirsutum L.) production and management practices, we quantified agrometeorological data of 30 years by applying multiple crop modelling tools to compute the expected rise in temperature, impact of crop phenology, yield loss, provision of agrometeorology-services, agronomic technologies, and adaptation to climate-smart agriculture. Model projections of 15 agrometeorology stations showed that the growing duration of the sowing-boll opening and sowing-harvesting stages was reduced by 2.30 to 5.66 days decade(-1) and 4.23 days decade(-1), respectively, in Pakistan. Temperature rise in China also advanced the planting dates, sowing emergence, 3-5 leaves, budding anthesis, full-bloom, cleft-boll, boll-opening, and boll-opening filling by 24.4, 26.2, 24.8, 23.3, 22.6, 15.8, 14.6, 5.4, 2.9, and 8.0 days. Furthermore, present findings exhibited that the warming effect of sowing-harvest time was observed 2.16 days premature, and delayed for 8.2, 2.4, and 5.3 days in the 1970s, 1980s, and 1990s in China. APSIM-cotton quantification revealed that the sowing, emergence, flowering, and maturity stages were negatively correlated with temperature -2.03, -1.93, -1.09, and -0.42 days degrees C-1 on average, respectively. This study also provided insight into the adaptation of smart and better cotton by improving agrotechnological services.
    Original languageEnglish
    Article number97
    Number of pages22
    JournalAgriculture
    Volume11
    Issue number2
    DOIs
    Publication statusPublished - 2021

    Keywords

    • agrometeorology
    • temperature increase
    • cotton phenology
    • climate-smart management
    • APSIM-cotton crop modelling

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