Logistic Models for Simulating the Growth of Plants by Defining the Maximum Plant Size as the Limit of Information Flow

Kawano, Tomonori; Wallbridge, Nigel; Plummer, Carrol

doi:10.1080/15592324.2019.1709718

Cited by 19 publications

(10 citation statements)

References 28 publications

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“…In the field experiment, common ragweed exhibited different growth trajectories for traits related to height and leaf. Maximum height, stem height, and number of internodes grew according to a logistic curve over time, indicating that the plants elongate monotonically toward a plateau, with a trajectory likewise described for other species [ 42 ]. The plateau of the curve started in correspondence with the emission of flower buds (then removed in our study).…”

Section: Discussionmentioning

confidence: 99%

High Phenotypic Plasticity in a Prominent Plant Invader along Altitudinal and Temperature Gradients

Gentili

Ambrosini

Augustinus

et al. 2021

Plants

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Studies on plant growth and trait variation along environmental gradients can provide important information for identifying drivers of plant invasions and for deriving management strategies. We used seeds of the annual plant invader Ambrosia artemisiifolia L. (common ragweed) collected from an agricultural site in Northern Italy (226 m. a.s.l; Mean Annual Air Temperature: 12.9 °C; precipitations: 930 mm) to determine variation in growth trajectories and plant traits when grown along a 1000-m altitudinal gradient in Northern Italy, and under different temperature conditions in the growth chamber (from 14/18 °C to 26/30 °C, night/day), using a non-liner modeling approach. Under field conditions, traits related to plant height (maximum height, stem height, number of internodes) followed a three-parameter logistic curve. In contrast, leaf traits (lateral spread, number of leaves, leaf length and width) followed non-monotonic double-Richards curves that captured the decline patterns evident in the data. Plants grew faster, reaching a higher maximum plant height, and produced more biomass when grown at intermediate elevations. Under laboratory conditions, plants exhibited the same general growth trajectory of field conditions. However, leaf width did not show the recession after the maximum value shown by plants grown in the field, although the growth trajectories of some individuals, particularly those grown at 18 °C, showed a decline at late times. In addition, the plants grown at lower temperatures exhibited the highest value of biomass and preserved reproductive performances (e.g., amount of male inflorescence, pollen weight). From our findings, common ragweed exhibits a high phenotypic plasticity of vegetative and reproductive traits in response to different altitudes and temperature conditions. Under climate warming, this plasticity may facilitate the shift of the species towards higher elevation, but also the in situ resistance and (pre)adaptation of populations currently abundant at low elevations in the invasive European range. Such results may be also relevant for projecting the species management such as the impact by possible biocontrol agents.

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Section: Discussionmentioning

confidence: 99%

High Phenotypic Plasticity in a Prominent Plant Invader along Altitudinal and Temperature Gradients

Gentili

Ambrosini

Augustinus

et al. 2021

Plants

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“…The functionality in eq is known as the logistic model, after its original denomination in 1845 . In 1912, the law was proven to describe the growth of microorganisms, and since then, it has been applied to a wide range of autocatalytic and self-replicating processes, particularly for the growth of plant organs. − …”

Section: Theorymentioning

confidence: 99%

Model-Based Analysis of Lactuca sativa Root Growth under the Action of Herbicides in Milli-Channel Arrays with In Situ Imaging

Lescano,

Macagno,

Berli

2023

J. Agric. Food Chem.

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Extracting practical information from the large amounts of data gathered during the live imaging analysis of plant organs is a challenging issue. The present work investigates the use of the logistic growth model to analyze experimental data from root elongation assays performed in milli-fluidic devices with in situ imaging. Lactuca sativa was used as a bioindicator and was subjected to wide concentration ranges of four different herbicides: 2,4-D, atrazine, glyphosate, and paraquat. The model parameters were directly connected to standard indicators of toxicity and plant development, such as the LD50 and the absolute growth rate, respectively. In addition, it was found that realistic predictions of the maximum root length can be achieved about 60 h before the bioassay end point, which could significantly shorten the turnaround time. The combination of milli-fluidic devices, real-time imaging, and model-based data analysis becomes a powerful tool for environmental studies and ecotoxicity testing.

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“…x max (Eq. 2) was useful to predict the maximum population (biomass) a system can sustain (Kawano et al, 2020). The Logistic model has been previously used to predict the cell growth of some plant species.…”

Section: Cell Growth Kinetics and Mathematical Modelmentioning

confidence: 99%

Modeling the growth kinetics of cell suspensions of Randia echinocarpa (Rubiaceae) and characterization of their bioactive phenolic compounds

Aguilar-Camacho,

Gómez-Sánchez,

Cruz-Mendívil

et al. 2023

Plant Cell Tiss Organ Cult

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The fruit of Randia echinocarpa is commonly used in the Mexican tradicional medicine to treat different diseases and ailments. So, the establishment of cell suspension cultures (CSC) is a required alternative to obtain bioactive compounds from this plant. Moreover, good kinetic models are necessary good processes control and simulation of plant cell cultures. Therefore, the objective of this study was to model and estimate the growth kinetics of the CSC of R. echinocarpa, as well as characterize their phenolic pro le by ultra performance liquid chromatography coupled to mass spectrometry. During the 34 d of culture, CSC of R. echinocarpa reached a dry cell biomass concentration of 15.16 g/L at day 20. The maximum speci c growth rate ( ) was 0.15 d − 1 , with a duplication time ( ) of 4.62 d. The Logistic model proposed adequately predicts the cell growth changes during the culture and the maximum dry cell content the culture medium can sustain (≈ 13.63 g/L). Ten phenolic compounds were identi ed in the biomass and four in the supernatants. The major phenolic compound in the biomass was chlorogenic acid (CA), with a concentration of 828.6 µg/g at day 20. In the lyophilized supernatant, the major phenolic compound was salicylic acid (SA) with a concentration of 172.7 µg/g at day 30. The production of CA was a growth-dependent process in contrast to the concentration of SA in the media. Our results indicate CSC of R. echinocarpa could be a sustainable source for the production of bioactive compounds such as CA and SA.

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Logistic Models for Simulating the Growth of Plants by Defining the Maximum Plant Size as the Limit of Information Flow

Cited by 19 publications

References 28 publications

High Phenotypic Plasticity in a Prominent Plant Invader along Altitudinal and Temperature Gradients

High Phenotypic Plasticity in a Prominent Plant Invader along Altitudinal and Temperature Gradients

Model-Based Analysis of Lactuca sativa Root Growth under the Action of Herbicides in Milli-Channel Arrays with In Situ Imaging

Modeling the growth kinetics of cell suspensions of Randia echinocarpa (Rubiaceae) and characterization of their bioactive phenolic compounds

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