纳入光子光谱对生菜生物质积累的影响,使用动态生长模型
Mahyar Abedi1, Xu Tan1, Eric J Stallknecht2
1Department of Mechanical Engineering, Michigan State University, East Lansing, MI, United States.
Frontiers in plant science
|June 26, 2023
概括
这项研究提出了一个新的数学模型,通过计算光谱来预测室内生菜产量. 该模型通过考虑光谱分布和光子流量密度来提高准确性,这对于优化作物生长至关重要.
科学领域:
- 园艺科学 园艺科学
- 植物生理学 植物生理学
- 农业工程 农业工程
背景情况:
- 农作物产量模型经常忽视光谱质量和强度.
- 光合作用速率和植物形态受到光谱分布和光子流量密度的显著影响.
- 精确的建模对于优化控制环境农业至关重要.
研究的目的:
- 开发一个数学模型来预测室内生长的生菜的新鲜和干燥量产.
- 将光谱分布和光子流量密度的影响纳入植物生长模型.
- 为了提高在不同光谱下产量预测的准确性.
主要方法:
- 在各种光谱下利用室内生长的 (Lactuca sativa) 的实验数据.
- 开发并安装了几种数学模型,用于修改量子使用效率系数.
- 对照了线性和更高阶模型对光使用效率的预测准确度.
- 介绍了一种基于光合作用活性辐射 (PAR) 和远红波段的正常化光谱辐射的新型模型.
主要成果:
- 对光效率系数的第四阶模型显示平均预测误差为2%.
- 简单的线性模型在预测光效率系数时显示了6-8%的不确定性.
- 规范化光谱分布显著提高了预测准确度.
- 这种新的数学模型准确地预测了不同光谱下的干质量.
结论:
- 光谱分布和光子流量密度是准确预测室内作物产量的关键因素.
- 结合正常化光谱辐射的新型数学模型为预测生菜干质量提供了高准确度.
- 这项研究为优化控制环境农业中的照明策略提供了有价值的工具.
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