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ORIGINAL RESEARCH article

Front. Plant Sci.
Sec. Crop and Product Physiology
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1442485
This article is part of the Research Topic Agricultural Planting Improvement and Risk Control View all articles

Optimizing Daylily (Hemerocallis citrina Baroni) Cultivation: Integrating Physiological Modeling and Planting Patterns for Enhanced Yield and Resource Efficiency

Provisionally accepted
Weijia Li Weijia Li 1Kun Zhang Kun Zhang 1Jianxia Liu Jianxia Liu 1Juan Wu Juan Wu 1Yue Zhang Yue Zhang 1*Michael Henke Michael Henke 2*
  • 1 Shanxi Datong University, Datong, China
  • 2 Hunan Agricultural University, Changsha, Hunan, China

The final, formatted version of the article will be published soon.

    Understanding and optimizing the dynamics of plant growth under different planting patterns is essential for effective production of daylilies (Hemerocallis). Optimizing the dynamics of daylily (Hemerocallis citrina Baroni) growth under various planting patterns is critical for enhancing production efficiency. This study presents In this study, we developed a comprehensive model to simulate daylily growth and optimize planting patterns to maximize bud yield while minimizing land resource utilization. The model incorporates the source-sink relationship specific to daylilies into physiological process modeling, considering accounting for environmental factors such as microlight and temperature climate, and CO2 concentration. Furthermore, Sspatial factors, including planting pattern, row spacing, plant spacing, and plant density were integrated to examined for their impact on light interception, photosynthesis, and resource efficiency. Employing partial least square path modeling (PLS-PM), we analyzed the interrelations and causal relationships between planting configurations and physiological traits of daylily canopy leaves and buds.Through in situ simulations,of 36 planting scenarios, we identified an optimal configuration (Scenario ID5)were evaluated, leading to the identification of an optimal planting configuration for daylily cultivation, represented by Scenario ID5, with a density of 83,000 plants•ha -1 , row spacing of 0.8 m, and equidistant planting with a plant spacing of 0.15 m. Employing partial least square path modeling (PLS-PM), we analyzed the interrelations and causal relationships between the plant configuration characteristics of all simulated scenarios and the physiological traits of daylily canopy leaves and buds. Our research findings indicate that an increased in Wide+Narrow row spacing can lead to a corresponding increase in enhance yield to a certain extent. WhileAlthough planting patterns do affect influence daylily yield, their influence overall impact is relatively minor, and there is no clear pattern regarding the impact of plant spacing on individual plant yield. In summary, our This modeling approach provides offers valuable insights into the dynamics of daylily plant growth dynamics and the optimization of planting patterns optimization, providingoffering practical guidance for both farmers and policymakers to enhance daylily productivity while minimizing land use.

    Keywords: Daylily (Hemerocallis citrina Baroni), Functional-structural plant model (FSPM), Planting patterns, crop growth simulation, source-sink relationship, Yield simulation, Land use efficiency

    Received: 02 Jun 2024; Accepted: 26 Aug 2024.

    Copyright: © 2024 Li, Zhang, Liu, Wu, Zhang and Henke. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yue Zhang, Shanxi Datong University, Datong, China
    Michael Henke, Hunan Agricultural University, Changsha, 410128, Hunan, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.