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Spatiotemporal Dynamic Relationship of Meteorological Factors and Sugar Content of Sugarcane by Vector Autoregression Model

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  • Guojun Zheng

    (School of Mathematics and Computing Science, Guilin University of Electronic Technology/Center for Applied Mathematics of Guangxi (GUET), Guilin 541004, China
    Guangxi Academy of Agricultural Sciences/Center/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement in Guangxi, Department of Agriculture, Nanning 530007, China
    These authors contributed equally to this work.)

  • Shengfeng Long

    (Guangxi Academy of Agricultural Sciences/Center/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement in Guangxi, Department of Agriculture, Nanning 530007, China
    These authors contributed equally to this work.)

  • Guanghu Zhu

    (School of Mathematics and Computing Science, Guilin University of Electronic Technology/Center for Applied Mathematics of Guangxi (GUET), Guilin 541004, China)

  • Qinlong Wang

    (School of Mathematics and Computing Science, Guilin University of Electronic Technology/Center for Applied Mathematics of Guangxi (GUET), Guilin 541004, China)

  • Ting Luo

    (Guangxi Academy of Agricultural Sciences/Center/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement in Guangxi, Department of Agriculture, Nanning 530007, China)

  • Hairong Huang

    (Guangxi Academy of Agricultural Sciences/Center/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement in Guangxi, Department of Agriculture, Nanning 530007, China)

  • Lu Liu

    (Guangxi Academy of Agricultural Sciences/Center/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement in Guangxi, Department of Agriculture, Nanning 530007, China)

  • Hui Fang

    (Guangxi Academy of Agricultural Sciences/Center/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement in Guangxi, Department of Agriculture, Nanning 530007, China)

  • Pengcheng Ma

    (School of Mathematics and Computing Science, Guilin University of Electronic Technology/Center for Applied Mathematics of Guangxi (GUET), Guilin 541004, China)

  • Yaoyang Shen

    (Guangxi Academy of Agricultural Sciences/Center/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement in Guangxi, Department of Agriculture, Nanning 530007, China)

  • Zeping Wang

    (Guangxi Academy of Agricultural Sciences/Center/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement in Guangxi, Department of Agriculture, Nanning 530007, China)

Abstract

Sugarcane is a globally significant economic crop, and sugar content is a key determinant of its financial and industrial value. This study utilized sugar content information from spring-planted and ratoon sugarcane in six research regions across Guangxi, China from 2008 to 2023 along with concurrent meteorological data. By conducting statistical tests, the critical meteorological factors influencing the sugar content of sugarcane (effective cumulative temperature and rainfall) were identified. These factors were then used as independent variables to construct a vector autoregression (VAR) model, which was employed to analyze the spatiotemporal dynamic relationships between sugar content and meteorological variables across different planting periods. The empirical results demonstrated that the influence of effective cumulative temperature on sugar content across various regions and planting periods shifted from positive to negative in the short-term, eventually reverting to a positive effect after a period of alternating influences. The impact of rainfall mirrored effective cumulative temperature, though it was relatively less pronounced. The sugarcane in Nanning and Baise was less influenced by effective cumulative temperature and rainfall, with the short-term impact changing from positive to negative and diminishing over time. Our findings provide scientific insights for guiding the ecosystem management of sugarcane in China.

Suggested Citation

  • Guojun Zheng & Shengfeng Long & Guanghu Zhu & Qinlong Wang & Ting Luo & Hairong Huang & Lu Liu & Hui Fang & Pengcheng Ma & Yaoyang Shen & Zeping Wang, 2024. "Spatiotemporal Dynamic Relationship of Meteorological Factors and Sugar Content of Sugarcane by Vector Autoregression Model," Agriculture, MDPI, vol. 14(11), pages 1-19, October.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:11:p:1945-:d:1511053
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    References listed on IDEAS

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