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修正后的布列尔方程及其应用。

The Modified Brière Equation and Its Applications.

作者信息

Jin Jun, Quinn Brady K, Shi Peijian

机构信息

Research Institute of Architecture, Southeast University, Nanjing 210096, China.

Biological Effects Section, St. Andrews Biological Station, Fisheries and Oceans Canada, St. Andrews, NB E5B 0E4, Canada.

出版信息

Plants (Basel). 2022 Jul 3;11(13):1769. doi: 10.3390/plants11131769.

Abstract

The Brière equation (BE) is widely used to describe the effect of temperature on the development rate of insects, and it can produce both symmetrical and asymmetrical bell-shaped curves. Because of its elasticity in curve fitting, the integrated form of BE has been recommended for use as a sigmoid growth equation to describe the increase in plant biomass with time. However, the start time of growth predicted by the sigmoid growth equation based on the BE is not completely comparable to empirical crop growth data. In the present study, we modified the BE by adding an additional parameter to further increase its elasticity for data fitting. We termed this new equation the modified Brière equation (MBE). Data for the actual height and biomass of 15 species of plants (with two cultivars for one species) were fit with the sigmoid growth equations based on both the BE and MBE assuming that the growth start time was zero for both. The goodness of fit of the BE and MBE sigmoid growth equations were compared based on their root-mean-square errors and the corresponding absolute percentage error between them when fit to these data. For most species, we found that the MBE sigmoid growth equation achieved a better goodness of fit than the BE sigmoid growth equation. This work provides a useful tool for quantifying the ontogenetic or population growth of plants.

摘要

布里埃尔方程(BE)被广泛用于描述温度对昆虫发育速率的影响,它能产生对称和不对称的钟形曲线。由于其在曲线拟合方面的灵活性,BE的积分形式已被推荐用作S形生长方程,以描述植物生物量随时间的增加。然而,基于BE的S形生长方程预测的生长起始时间与实际作物生长数据并不完全可比。在本研究中,我们通过添加一个额外参数对BE进行了修改,以进一步提高其对数据拟合的灵活性。我们将这个新方程称为修正布里埃尔方程(MBE)。假设两种植物的生长起始时间均为零,基于BE和MBE的S形生长方程对15种植物(其中一个物种有两个品种)的实际高度和生物量数据进行拟合。基于BE和MBE S形生长方程在拟合这些数据时的均方根误差以及它们之间相应的绝对百分比误差,比较了二者的拟合优度。对于大多数物种,我们发现MBE S形生长方程比BE S形生长方程具有更好的拟合优度。这项工作为量化植物个体发育或种群生长提供了一个有用的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d802/9269267/798b3e405ee1/plants-11-01769-g001.jpg

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