IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i11p1945-d1511053.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/11/1945/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/11/1945/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jessica Lima Viana & Jorge Luiz Moretti de Souza & Aaron Kinyu Hoshide & Ricardo Augusto de Oliveira & Daniel Carneiro de Abreu & Wininton Mendes da Silva, 2023. "Estimating Sugarcane Yield in a Subtropical Climate Using Climatic Variables and Soil Water Storage," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    2. P., Jithin & Ashraf, Sania, 2023. "Global value chain participation and CO2 emissions: Does economic growth matter? New evidence from dynamic panel threshold regression," Energy Economics, Elsevier, vol. 128(C).
    3. Wang, Jing & Rickman, Dan S. & Yu, Yihua, 2022. "Dynamics between global value chain participation, CO2 emissions, and economic growth: Evidence from a panel vector autoregression model," Energy Economics, Elsevier, vol. 109(C).
    4. Guga, Suri & Ma, Yining & Riao, Dao & Zhi, Feng & Xu, Jie & Zhang, Jiquan, 2023. "Drought monitoring of sugarcane and dynamic variation characteristics under global warming: A case study of Guangxi, China," Agricultural Water Management, Elsevier, vol. 275(C).
    5. Qin, Nianxiu & Lu, Qinqin & Fu, Guobin & Wang, Junneng & Fei, Kai & Gao, Liang, 2023. "Assessing the drought impact on sugarcane yield based on crop water requirements and standardized precipitation evapotranspiration index," Agricultural Water Management, Elsevier, vol. 275(C).
    6. Senzheng Chen & Huichun Ye & Chaojia Nie & Hongye Wang & Jingjing Wang, 2023. "Research on the Assessment Method of Sugarcane Cultivation Suitability in Guangxi Province, China, Based on Multi-Source Data," Agriculture, MDPI, vol. 13(5), pages 1-17, April.
    7. Alamilla-Magaña, J.C. & Carrillo-Ávila, E. & Obrador-Olán, J.J. & Landeros-Sánchez, C. & Vera-Lopez, J. & Juárez-López, J.F., 2016. "Soil moisture tension effect on sugar cane growth and yield," Agricultural Water Management, Elsevier, vol. 177(C), pages 264-273.
    8. Dingre, S.K. & Gorantiwar, S.D., 2020. "Determination of the water requirement and crop coefficient values of sugarcane by field water balance method in semiarid region," Agricultural Water Management, Elsevier, vol. 232(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yifang Zhou & Mingzhang Pan & Wei Guan & Changcheng Fu & Tiecheng Su, 2023. "Predicting Sugarcane Yield via the Use of an Improved Least Squares Support Vector Machine and Water Cycle Optimization Model," Agriculture, MDPI, vol. 13(11), pages 1-23, November.
    2. Dingre, S.K. & Gorantiwar, S.D., 2021. "Soil moisture based deficit irrigation management for sugarcane (Saccharum officinarum L.) in semiarid environment," Agricultural Water Management, Elsevier, vol. 245(C).
    3. P., Jithin & Ashraf, Sania, 2023. "Global value chain participation and CO2 emissions: Does economic growth matter? New evidence from dynamic panel threshold regression," Energy Economics, Elsevier, vol. 128(C).
    4. He, Xu & Sun, Shiquan & Leong, Lin Woon & Cong, Phan The & Abu-Rumman, Ayman & Halteh, Khaled, 2023. "Does clean energy and technological innovation matter for economic growth? An Asian countries perspective," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1195-1208.
    5. Xu Wang & Xiang Su & Ke Bi, 2023. "Achieving Synergies of Carbon Emission Reduction, Cost Savings, and Asset Investments in China’s Industrial Sector: Towards Sustainable Practices," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    6. Zhang, Qingsong & Sun, Jiahao & Zhang, Guangxin & Liu, Xuemei & Wu, Yanfeng & Sun, Jingxuan & Hu, Boting, 2023. "Spatiotemporal dynamics of water supply–demand patterns under large-scale paddy expansion: Implications for regional sustainable water resource management," Agricultural Water Management, Elsevier, vol. 285(C).
    7. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
    8. Hiloidhari, Moonmoon & Vijay, Vandit & Banerjee, Rangan & Baruah, D.C. & Rao, Anand B., 2021. "Energy-carbon-water footprint of sugarcane bioenergy: A district-level life cycle assessment in the state of Maharashtra, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    9. Xie, Pinjie & Gong, Ningyu & Sun, Feihu & Li, Pin & Pan, Xianyou, 2023. "What factors contribute to the extent of decoupling economic growth and energy carbon emissions in China?," Energy Policy, Elsevier, vol. 173(C).
    10. Lucas Eduardo Oliveira Aparecido & Kamila Cunha Meneses & Pedro Antonio Lorençone & João Antonio Lorençone & Jose Reinaldo da Silva Cabral de Moraes & Glauco Souza Rolim, 2023. "Climate classification by Thornthwaite (1948) humidity index in future scenarios for Maranhão State, Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 855-878, January.
    11. Can Li & Qi He & Han Ji & Shengguo Yu & Jiao Wang, 2023. "Reexamining the Impact of Global Value Chain Participation on Regional Economic Growth: New Evidence Based on a Nonlinear Model and Spatial Spillover Effects with Panel Data from Chinese Cities," Sustainability, MDPI, vol. 15(18), pages 1-31, September.
    12. Jessica Lima Viana & Jorge Luiz Moretti de Souza & André Carlos Auler & Ricardo Augusto de Oliveira & Renã Moreira Araújo & Aaron Kinyu Hoshide & Daniel Carneiro de Abreu & Wininton Mendes da Silva, 2023. "Water Dynamics and Hydraulic Functions in Sandy Soils: Limitations to Sugarcane Cultivation in Southern Brazil," Sustainability, MDPI, vol. 15(9), pages 1-22, May.
    13. McNamara, Ian & Flörke, Martina & Uschan, Thorben & Baez-Villanueva, Oscar M. & Herrmann, Frank, 2024. "Estimates of irrigation requirements throughout Germany under varying climatic conditions," Agricultural Water Management, Elsevier, vol. 291(C).
    14. Gu, Nan & Zhang, Jianyun & Wang, Guoqing & Liu, Cuishan & Wang, Zhenlong & Lü, Haishen, 2022. "An atmospheric and soil thermal-based wheat crop coefficient method using additive crop growth models," Agricultural Water Management, Elsevier, vol. 269(C).
    15. Jingjing Zhang & Qian Zhou & Min Cao & Hong Liu, 2022. "Spatiotemporal Change of Eco-Environmental Quality in the Oasis City and Its Correlation with Urbanization Based on RSEI : A Case Study of Urumqi, China," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    16. Aaron Kinyu Hoshide, 2023. "Sustainable Development Agricultural Economics and Policy: Intensification versus Diversification," Sustainability, MDPI, vol. 15(12), pages 1-4, June.
    17. S. S. Tabriz & M. A. Kader & M. Rokonuzzaman & M. S. Hossen & M. A. Awal, 2021. "Prospects and challenges of conservation agriculture in Bangladesh for sustainable sugarcane cultivation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 15667-15694, November.
    18. Ma, Dan & Tang, Jiaqi & Jiang, Xuemei, 2023. "Effects of digital global value chain participation on CO2 emissions embodied in digital exports: New evidence from PSTR approach," Energy Economics, Elsevier, vol. 126(C).
    19. Xuemei Jia & Qing Liu & Jiahao Feng & Yuru Li & Lijun Zhang, 2023. "The Induced Effects of Carbon Emissions for China’s Industry Digital Transformation," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    20. Agostino, Mariarosaria & Giunta, Anna & Ruberto, Sabrina & Scalera, Domenico, 2023. "Global value chains and energy-related sustainable practices. Evidence from Enterprise Survey data," Energy Economics, Elsevier, vol. 127(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:11:p:1945-:d:1511053. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.