IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i12p2184-d1285411.html
   My bibliography  Save this article

Identification of Box Scale and Root Placement for Paddy–Wheat Root System Architecture Using the Box Counting Method

Author

Listed:
  • Shulin Liu

    (College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Xinxin Chen

    (College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Jianping Hu

    (College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Qishuo Ding

    (College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)

  • Ruiyin He

    (College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)

Abstract

Root fractal analysis is instrumental in comprehending the intricate structures of plant root systems, offering insights into root morphology, branching patterns, and resource acquisition efficiency. We conducted a field experiment on paddy–wheat root systems under varying nitrogen fertilizer strategies to address the need for quantitative standardization in root fractal analysis. The study evaluated the impact of nitrogen fertilizer heterogeneity on root length and number. We established functional relationships and correlations among root fractal characteristics and root length across different box dimension scales and various root placement angles at 2.5, 5, 10, 20, 40, and 80 box dimension scales. Results indicated that nitrogen fertilizer had a limited impact on paddy–wheat axile roots, with a coefficient of variation below 0.35 among samples. Box dimension scale influenced 3D fractal dimension (FD) and fractal abundance (FA), with strong correlations (>78%) among 3D fractal features and low sample errors (<6%). The linear correlation coefficient exceeded 72% between 3D FA and root length and 50% between FA and FD. Different axile root placement angles significantly impacted planar fractal results, particularly at a 10° angle. This stability was maintained throughout the sampling period, with high correlation coefficients (>0.76 for FA and >0.5 for FD) and low sample errors (<1.5% for FA and <4.5% for FD). In conclusion, for calculating the 3D fractal characteristics of paddy–wheat axile roots during the seedling stage, box dimension scales of 2.5, 5, 10, 20, 40, and 80, as well as 2, 5, 10, 20, 50 and 100 and 3, 6, 12, 24, 48 and 96, were suitable. When computing the planar fractal characteristics of paddy–wheat axile roots during this stage, a 10° placement angle between axile root systems yields lower errors. These findings enhance root quantification methods, standardize root analysis, and promote the comparability of crop root system fractal data across different varieties and regions, thereby advancing root-related research.

Suggested Citation

  • Shulin Liu & Xinxin Chen & Jianping Hu & Qishuo Ding & Ruiyin He, 2023. "Identification of Box Scale and Root Placement for Paddy–Wheat Root System Architecture Using the Box Counting Method," Agriculture, MDPI, vol. 13(12), pages 1-15, November.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:12:p:2184-:d:1285411
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/12/2184/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/12/2184/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qiangqiang Xiong & Jinlong Hu & Haiyan Wei & Hongcheng Zhang & Jinyan Zhu, 2021. "Relationship between Plant Roots, Rhizosphere Microorganisms, and Nitrogen and Its Special Focus on Rice," Agriculture, MDPI, vol. 11(3), pages 1-18, March.
    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. Veronika Zemanová & Daniela Pavlíková & Milan Novák & Petre I. Dobrev & Tomáš Matoušek & Václav Motyka & Milan Pavlík, 2022. "Arsenic-induced response in roots of arsenic-hyperaccumulator fern and soil enzymatic activity changes," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 68(5), pages 213-222.
    2. Nur Hidayah Hamidi & Osumanu Haruna Ahmed & Latifah Omar & Huck Ywih Ch’ng & Prisca Divra Johan & Puvan Paramisparam & Adiza Alhassan Musah & Mohamadu Boyie Jalloh, 2023. "Co-Application of Inorganic Fertilizers with Charcoal and Sago Bark Ash to Improve Soil Nitrogen Availability, Uptake, Use Efficiency, and Dry Matter Production of Sorghum Cultivated on Acid Soils," Sustainability, MDPI, vol. 15(1), pages 1-19, January.
    3. Ang Liu & Yaqian Zhao & Yamei Cai & Peiying Kang & Yulong Huang & Min Li & Anran Yang, 2023. "Towards Effective, Sustainable Solution for Hospital Wastewater Treatment to Cope with the Post-Pandemic Era," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    4. Jacek Długosz & Anna Piotrowska-Długosz & Anetta Siwik-Ziomek & Anna Figas, 2022. "Depth-Related Changes in Soil P-Acquiring Enzyme Activities and Microbial Biomass—The Effect of Agricultural Land Use/Plant Cover and Pedogenic Processes," Agriculture, MDPI, vol. 12(12), pages 1-24, December.
    5. Zeng, Wenzhi & Hou, Yaling & Ao, Chang & Huang, Jiesheng, 2024. "Effects of PGPR and γ-PGA on maize growth and rhizosphere microbial community in saline soil," Agricultural Water Management, Elsevier, vol. 295(C).
    6. Roghayeh Vahedi & MirHassan Rasouli-Sadaghiani & Mohsen Barin & Ramesh Raju Vetukuri, 2021. "Interactions between Biochar and Compost Treatment and Mycorrhizal Fungi to Improve the Qualitative Properties of a Calcareous Soil under Rhizobox Conditions," Agriculture, MDPI, vol. 11(10), pages 1-15, October.
    7. Liza Nuriati Lim Kim Choo & Osumanu Haruna Ahmed & Shamsiah Sekot & Syahirah Shahlehi, 2023. "Minimizing Carbon Dioxide Emissions with Clinoptilolite Zeolite in Moris Pineapple Cultivation on Drained Sapric Soils," Sustainability, MDPI, vol. 15(22), pages 1-22, November.

    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:13:y:2023:i:12:p:2184-:d:1285411. 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.