Determining optimal nitrogen concentration intervals throughout lettuce growth using fluorescence parameters

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
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Abstract

The commonly used universal nutrient solution formula for facility-grown lettuce leads to excessive nitrogen fertilizer usage, low utilization efficiency, and severe environmental pollution. This formula keeps the nitrogen fertilizer concentration consistently high throughout the growth stages of lettuce, which is not conducive to lettuce growth because its nitrogen needs vary across different developmental stages. To address these inefficiencies, this study introduces a method for determining an appropriate interval limits for nitrogen concentration regulation for greenhouse lettuce cultivation based on chlorophyll fluorescence parameters. A single-factor experiment was designed to gather a dataset of chlorophyll fluorescence and biomass parameters at varying nitrogen concentrations and growth stages. Initial findings using the maximal information coefficient correlation analysis indicated that no single fluorescence parameter alone was sufficient for optimal regulation. Thus, the analytic hierarchy process was employed to dynamically determine the weights for comprehensive fluorescence parameters. The U-chord curvature method was then used to calculate the response curve’s upper and lower interval limits. The Technique for Order Preference by Similarity to an Ideal Solution method confirmed the rationality of the nitrogen concentration intervals for different stages, which achieved the highest comprehensive scores. Implementing these intervals led to a 49.7 % reduction in nitrogen fertilizer usage, with no significant difference in dry weight at the lower limit but a 36.2 % reduction with a 9.4 % increase in dry weight at the upper limit compared with the universal nutrient solution formula. This approach significantly reduces the use of ineffective nitrogen fertilizers while maintaining crop yield, offering a more environmentally friendly and efficient method for managing nitrogen for lettuce cultivation in greenhouses.

利用荧光参数确定生菜生长过程中的最佳氮浓度间隔
设施栽培莴苣常用的通用营养液配方会导致氮肥用量过多、利用效率低和严重的环境污染。这种配方使莴苣整个生长阶段的氮肥浓度始终保持在较高水平,不利于莴苣的生长,因为莴苣在不同生长阶段对氮的需求是不同的。为了解决这些低效问题,本研究介绍了一种基于叶绿素荧光参数确定温室生菜栽培氮肥浓度调节适当区间限制的方法。研究设计了一个单因素实验,以收集不同氮浓度和生长阶段下的叶绿素荧光和生物量参数数据集。利用最大信息系数相关性分析得出的初步结果表明,任何单一荧光参数都不足以实现最佳调节。因此,采用了层次分析法来动态确定综合荧光参数的权重。然后采用 U 型弦曲率法计算响应曲线的上下限。通过与理想解相似性排序偏好技术方法确认了不同阶段氮浓度区间的合理性,这些区间获得了最高的综合评分。与通用营养液配方相比,采用这些区间可减少氮肥用量 49.7%,下限干重无显著差异,但上限减少了 36.2%,干重增加了 9.4%。这种方法在保持作物产量的同时,大大减少了无效氮肥的使用,为温室莴苣种植提供了一种更环保、更高效的氮肥管理方法。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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