Logistic growth models of China pinks, cultivated on seven substrates, as a function of degree days

Milani, Marília; Lopes, Sidinei José; Bellé, Rogério Antônio; Backes, Fernanda Alice Antonello Londero

doi:10.1590/0103-8478cr20150839

Cited by 3 publications

(2 citation statements)

References 8 publications

(10 reference statements)

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“…However, its application to Brassica vegetables has not been reported. In this study, the 2D timebased growth models of choy sum seedling under various light intensities were all fitted well to the logistic model (Figure 7C), which agreed with those reported in the literatures on modeling the growth of other plants under constant environmental conditions such as light and soil, as well as limited nutrient supply (Milani et al, 2016;Chen, 2019;Rafiee and Mahbod, 2020).…”

Section: D Time-based Growth Model and 3d Light-time-biomass Response Model Of Choy Sum Seedlingsupporting

confidence: 89%

Light-Time-Biomass Response Model for Predicting the Growth of Choy Sum (Brassica rapa var. parachinensis) in Soil-Based LED-Constructed Indoor Plant Factory for Efficient Seedling Production

2021

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Little is known about how exactly light plays its role in the growth of choy sum (Brassica rapa var. parachinensis), a widely cultivated vegetable in Asia. By applying a commercial soil using black peat as major constituent with 17:10:14 ratio of NPK fertilizer in this study, the growth responses of choy sum seedling to progressively increasing white LED light intensity in an indoor plant factory were investigated, where positive enhancements were observed in choy sum morphology and growth including both dry and fresh mass accumulation under higher light intensity till 400 μmol/(m2⋅s), then a reduction occurred due to light oversaturation and overheat. In indoor plant factory, the inhomogeneous distribution phenomenon of illumination level was inevitably occurred in indoor farm racks generally. For accurately evaluating the productivity of choy sum grown on such racks, a light-time-biomass response model of choy sum seedling grown at the seedling stage was thus established for the first time, which could reliably predict the production outcome of this species in indoor farming practice under various lighting condition and duration. The robustness of the model was further tested by model variation test and sufficient robustness of this model was confirmed. The new insight obtained for the light-dependence of choy sum growth and the light-time-biomass response model can be used to efficiently direct its seedling production in indoor plant factories.

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Section: D Time-based Growth Model and 3d Light-time-biomass Response Model Of Choy Sum Seedlingsupporting

confidence: 89%

Light-Time-Biomass Response Model for Predicting the Growth of Choy Sum (Brassica rapa var. parachinensis) in Soil-Based LED-Constructed Indoor Plant Factory for Efficient Seedling Production

2021

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“…The water saturation content in the substrate can often be up to 50%; however, it can be reduced quickly to less than 10% under a slight water tension increase of only 20 to 40 cm in the water column (Wang, Gabriel, Legard, & Sjulin, 2016). Differences in the parameters estimated by the logistic model can also be verified in work done with Dianthus chinensis L., in which differences between the evaluated substrates were observed (Milani et al, 2016). The same analogy can be used for the β 2 parameter, in which higher values were found in the treatments with sugarcane bagasse.…”

Section: Discussionmentioning

confidence: 81%

Behavior of strawberry production with growth models: a multivariate approach

et al. 2020

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Strawberry is an economically and socially important crop in several regions worldwide. Thus, studies that provide information on topics in strawberry growth are important and must be constantly updated. The aims of this study were to fit a logistic growth model to describe strawberry fruit production and to estimate the partial derivatives of the fitted model in order to estimate and interpret the critical points, in addition to using multivariate analyses. To do this, data on 16 treatments [combinations of two cultivars (Albion and Camarosa), two origins (national and imported), and four mixed organic substrates (70% crushed sugar cane residue + 30% organic compost, 70% crushed sugar cane residue + 30% commercial substrate, 70% burnt rice husk + 30% organic compost, and 70% burnt rice husk + 30% commercial substrate)] conducted in a randomized complete block design (RCBD) with four replicates were used. A logistic model was fitted to the accumulated fruit production stratified by treatment and replication. Partial derivatives related to the accumulated thermal sum were estimated in order to quantify the critical points of the model. Subsequently, a principal component analysis was performed. The results show that the use of growth models substantially increases the inferences that can be made about crop growth, and the multivariate analysis summarizes this information, simplifying its interpretation. Approaches such as those carried out in this study are still rarely used, but, compared to simpler models, they increase the amount of inferences that can be made and provide greater elucidation of the results.

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Nonlinear models. An approach to model irrigated and non-irrigated common bean (Phaseolus vulgaris L.) growth

Pohlmann

Lopes

Lago

et al. 2021

Int J Innov Educ Res

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Common beans reduce their development and productivity when facing soil water deficit. Comprehension about growth response under this condition can be a tool for cultivar selection and escape from scarcity periods. Therefore, the objective was to characterize bean growth in different water conditions using logistic and chanter models. Two experiments (crop season= EI and fallow season = EII) were carried out in Santa Maria, RS, Brazil in a bifactorial scheme (cultivars: Triunfo, Garapiá, FC104; water condition: irrigated, not irrigated) in a completely randomized design. Fortnightly evaluations of height, number of nodes, stem diameter, root length, aerial part, roots, and nodules dry matter were carried out. The data were adjusted according to the accumulated thermal sum by the logistic and chanter models. From the results, it is noted that there was a dissimilar performance between water conditions, cultivars, and experiments. The best adjustment occurred for stem diameter, node number, and aerial part dry matter. Between models, the logistic is the most suitable to describe common bean growth.

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Logistic growth models of China pinks, cultivated on seven substrates, as a function of degree days

Abstract: The objective of this study was to characterize the height (H) and leaf number (LN) of China pinks, grown in seven substrates, as a function of degree days, using the logistic growth model. H and

Cited by 3 publications

References 8 publications

Light-Time-Biomass Response Model for Predicting the Growth of Choy Sum (Brassica rapa var. parachinensis) in Soil-Based LED-Constructed Indoor Plant Factory for Efficient Seedling Production

Light-Time-Biomass Response Model for Predicting the Growth of Choy Sum (Brassica rapa var. parachinensis) in Soil-Based LED-Constructed Indoor Plant Factory for Efficient Seedling Production

Behavior of strawberry production with growth models: a multivariate approach

Nonlinear models. An approach to model irrigated and non-irrigated common bean (Phaseolus vulgaris L.) growth

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