中国农业气象 ›› 2026, Vol. 47 ›› Issue (4): 521-529.doi: 10.3969/j.issn.1000-6362.2026.04.004

• 农业生物气象栏目 • 上一篇    下一篇

设施作物根际温度调控技术研究进展

柏雨润,闫世风,王发香,李灵芝,海云瑞,郭文忠   

  1. 1. 北京市农林科学院智能装备技术研究中心,北京 100097;2. 山西农业大学园艺学院,太谷 030800;3. 宁夏农林科学院农业经济与信息技术研究所,银川 750002
  • 收稿日期:2025-04-01 出版日期:2026-04-20 发布日期:2026-04-18
  • 作者简介:柏雨润,E-mail:byr1291979637@qq.com
  • 基金资助:
    宁夏回族自治区重点研发计划项目(2023BCF01047)

Research Progress on Rhizosphere Temperature Control Technologies for Facility Crops

BAI Yu-run, YAN Shi-feng, WANG Fa-xiang, LI Ling-zhi, HAI Yun-rui, GUO Wen-zhong   

  1. 1. Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; 2. College of Horticulture, Shanxi Agricultural University, Taigu 030800; 3. Institute of Agricultural Economy and Information Technology, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002
  • Received:2025-04-01 Online:2026-04-20 Published:2026-04-18

摘要:

设施农业生产中作物根际温度波动可显著影响作物水分吸收、养分运输及光合作用等关键生理过程,现有环境调控技术多聚焦于空气温度优化,根际温度精准管理仍面临极端气候适应性不足与能源效率低下的双重挑战。为系统评估根际温度调控技术的研究进展与发展方向,本研究通过文献计量分析与技术特征比较,重点解析被动与主动调控技术的应用边界及增效路径,以期解决极端气候条件下根际温度失控风险与高能耗调控成本的矛盾。结果表明:被动调控技术(地膜覆盖、垄作栽培、相变材料等)通过物理屏障效应,可使作物根温波动幅度降低40%60%,常规气候条件下具有显著节能优势,设施温室能耗降低60%80%,但持续低温或高温环境作物根际存在控温失效的风险,其发生概率与气候极端性呈正相关关系。主动调控技术(热泵系统、主动蓄放热装置、营养液循环控温等)可实现±1℃的精准根际控温,使温室作物产量提升17%55%,但存在系统能效系数(COP)偏低(1.51.9)、单位面积能耗成本过高(0.75.0kWh·m2)的技术瓶颈。未来研究需深度融合物联网感知与多能互补技术,开发相变温度可调(1525℃)的复合储能材料,构建气候预警−动态补偿−智能调控的全链条技术体系,以期实现设施作物根际温度管理从粗放缓冲向智慧调控的范式转变。

关键词: 根际温度, 设施作物, 被动调控, 主动调控

Abstract:

In protected agricultural systems, fluctuations in crop rhizosphere temperature exert significant impacts on key physiological processes, including water uptake, nutrient translocation and photosynthetic activity. Although contemporary environmental control technologies focus primarily on air temperature optimization, while precise management of rhizosphere temperature, they remain challenged by dual constraints: inadequate adaptability to extreme climatic conditions and subpar energy efficiency. This study systematically evaluated the research advancements and development trajectories of rhizosphere temperature regulation technologies through an integrative bibliometric analysis and technical characteristic comparison, with the aim of clarifying the application frontiers and efficiency enhancement strategies for passive and active regulation approaches. The core objective was to address the conflict between the risk of rhizosphere temperature runaway under extreme climatic conditions and the high energy costs inherent in temperature control systems. Findings indicated that passive regulation techniques, including plastic mulching, ridge cultivation and phasechange materials, mitigated root temperature fluctuations by 40%60% via physical barrier effects, delivering significant energysaving benefits under conventional climatic conditions (reducing greenhouse energy consumption by 60%80%). However, during lowtemperature or hightemperature events, the rhizosphere faced an elevated risk of temperature control failure, with the probability of such failure positively correlated with the extremity of climatic conditions. Conversely, active regulation systems, comprising heat pump technologies, active thermal energy storage, release devices and nutrient solution circulation temperature control, enabled precise temperature management within a range of±1°C, enhancing greenhouse crop yields by 17%55%. These systems were constrained by technical bottlenecks, including a low coefficient of performance (COP 1.51.9) and high energy consumption costs (0.75.0kWh·m2) per unit area. Future research should prioritize the deep integration of IoT sensing with multienergy complementary technologies, the development of composite energy storage materials with tunable phasetransition temperatures (1525°C), and the construction of a fullchain technical framework that integrates climate warning, dynamic compensation, and intelligent control. Such efforts will facilitate a paradigm shift in protectedcrop rhizosphere temperature management, enabling a transition from rudimentary buffering strategies to adaptive smart regulation systems.

    

Key words: Root zone temperature, Facility crops, Passive regulation, Active regulation