A Gompertz regression model for fern spores germination

Galán, José María Gabriel y; Prada, Cármen; Martínez-Calvo, Cristina; Lahoz-Beltrá, Rafael

doi:10.3989/ajbm.2405

Cited by 8 publications

(4 citation statements)

References 52 publications

(47 reference statements)

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“…The logistic models estimated here agree with other sigmoid saturation models that have been reported for the germination of other fern species [ 52 ]. Our results suggest that increased temperature can reduce spore germination and alter germination kinetics on two temperate epiphytic ferns, a finding similar to long-term observations of the impacts of climate change on other plants [ 53 ], considering that most of the studies have focused on trees and crops.…”

Section: Discussionsupporting

confidence: 89%

Germination fitness of two temperate epiphytic ferns shifts under increasing temperatures and forest fragmentation

et al. 2018

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Ferns are an important component of ecosystems around the world. Studies of the impacts that global changes may have on ferns are scarce, yet emerging studies indicate that some species may be particularly sensitive to climate change. The lack of research in this subject is much more aggravated in the case of epiphytes, and especially those that live under temperate climates. A mathematical model was developed for two temperate epiphytic ferns in order to predict potential impacts on spore germination kinetics, in response to different scenarios of global change, coming from increasing temperature and forest fragmentation. Our results show that an increasing temperature will have a negative impact over the populations of these temperate epiphytic ferns. Under unfragmented forests the germination percentage was comparatively less influenced than in fragmented patches. This study highlight that, in the long term, populations of the studied epiphytic temperate ferns may decline due to climate change. Overall, epiphytic fern communities will suffer changes in diversity, richness and dominance. Our study draws attention to the role of ferns in epiphytic communities of temperate forests, emphasizing the importance of considering these plants in any conservation strategy, specifically forest conservation. From a methodological point of view, the model we propose could be easily used to dynamically monitor the status of ecosystems, allowing the quick prediction of possible future scenarios, which is a crucial issue in biodiversity conservation decision-making.

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Section: Discussionsupporting

confidence: 89%

Germination fitness of two temperate epiphytic ferns shifts under increasing temperatures and forest fragmentation

et al. 2018

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“…The second group includes parameters where the accumulative value of their variation increases sigmoidally as a function of time, e.g. accumulative spore germination (Gabriel et al 2015), accumulative number of inflorescence (Gur et al 2010) and accumulative seed germination (Lim et al 2015). There are many equations that have sigmoidal patterns, i.e.…”

Section: Introductionmentioning

confidence: 99%

Using double logistic equation to describe the growth of winter rapeseed

et al. 2018

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There are many parameters in agriculture that change over time in a sigmoid pattern. In the current study, the double logistic function was used to describe and simulate dry matter (DM) variation of winter rapeseed plant and to explain the growth rate under water stress. Irrigation treatments were full irrigation at all growth stages, water stress during the vegetative stage in early spring, water stress at flowering and podding stages, water stress at grain filling stage and rain-fed treatment with supplemental irrigation at time of planting. A high value for the goodness of fit (0.996) and low value for normalized root mean square error (0.085) showed that the double logistic function can describe and simulate DM variation of rapeseed accurately. DM predicted by the double logistic equation based on growing degree day was slightly closer to the measured DM compared with the DM predicted by the double logistic equation based on days after planting. Results showed that growth rate before the winter cold period was lower than that after this period. There were two maximum growth rates for winter rapeseed: the first occurred before cold period and another after.

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“…On the contrary, the von Bertalanfy model presents the highest AIC values and lower determination coefcients. Tis result has been reported in diferent studies, in which the Gompertz model has satisfactorily described the germination of diferent plant species, for example, the cumulative germination of spores of ferns Blechnum serrulatum, Blechnum yungense, Cheilanthes pilosa, Niphidium macbridei, and Polypodium feuillei [32]; the germination of leaf lettuce grown in a greenhouse environment [33]; and the prediction of Lolium rigidum emergence, which can be used as a predictive tool to improve the control of this weed in rainfed cereal felds of Mediterranean climate zones [34].…”

Section: Discussionmentioning

confidence: 88%

Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical Models

Huatangari¹,

Castillo²,

Zarate

et al. 2023

International Journal of Agronomy

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Seed germination is the fundamental phenomenon that determines the successful growth and development of each plant species, even more so in Cinchona officinalis, which is a forest species that stands out for its medicinal importance. The objective of this work was to determine the best sigmoidal mathematical model describing the germination of C. officinalis. For the germination test, a completely randomized design was used with six treatments and three replicates per treatment; 100°C. officinalis seeds were used per replicate, and 1800 seeds were needed in the trial. Gompertz sigmoidal, logistic, and von Bertalanffy models were used to analyse the germination curves of C. officinalis. The results of these adjustments were analysed based on the graphic representation and statistical criteria (Akaike’s value ( A I C ), R 2 , and R a i 2 ). The results suggest that the Gompertz and logistic models have a better graphic representation, showing values close to those observed, while the von Bertalanffy model shows negative germination values. According to the statistical criteria, the lowest AIC and the highest were obtained. R 2 and R a i 2 with the Gompertz model, followed by the logistic model and von Bertalanffy. It is concluded that the Gompertz model can represent the shape of the germination curves of C. officinalis for the six treatments of the test.

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A Gompertz regression model for fern spores germination

Cited by 8 publications

References 52 publications

Germination fitness of two temperate epiphytic ferns shifts under increasing temperatures and forest fragmentation

Germination fitness of two temperate epiphytic ferns shifts under increasing temperatures and forest fragmentation

Using double logistic equation to describe the growth of winter rapeseed

Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical Models

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