Modelling of Soybean (Glycine max (L.) Merr.) Response to Blue Light Intensity in Controlled Environments

Hitz, Tina; Graeff‐Hönninger, Simone; Munz, Sebastian

doi:10.3390/plants9121757

Cited by 11 publications

(6 citation statements)

References 57 publications

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“…However, too much blue light reduced shoot fresh weight of tomato seedlings as blue light fraction increased from 50% to 75% in red plus blue LEDs [39] . In the study of Hitz et al [49] , who observed that dry weight and leaf area of soybean plants increased as fraction of blue light provided by red-blue LEDs increased from 15% to 27.5%, and a decreased trend was found as blue light fraction was more than 27.5%. In general, the increase in dry biomass accumulation in response to the supplementary light may be attributed to the augmented chlorophyll content and net photosynthetic rate.…”

Section: Discussionmentioning

confidence: 97%

Morphology, growth, and physiological traits of greenhouse cucumber seedlings as affected by supplementary white and blue LEDs

Yan¹,

Wang²,

Cheng³

et al. 2022

International Journal of Agricultural and Biological Engineering

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Supplemental lighting can be applied in the greenhouse to obtain high-quality seedlings when the solar daily light integral (DLI) is insufficient. However, there is no optimal strategy for the supplementary light provided by white and blue light-emitting diodes (LEDs) with the same DLI in cucumber (Cucumis sativus L.) seedling production grown in the greenhouse in early spring. The objective of the study was to determine changes in morphology, photosynthesis, growth, and physiological characteristics in greenhouse-grown cucumber seedlings (cv. Tianjiao No. 5) depending on different supplementary fractions (28.5%, 33.5%, 38.5%, 43.5%, and 48.5%) of blue light (B) under constant DLI provided by combinations of white (B28.5% included) and blue LEDs, and cucumber seedlings were grown with sunlight only were set as the control. The results documented that supplementary light resulted in compact and robust greenhouse-grown cucumber seedlings with higher chlorophyll content and net photosynthetic rate compared to those grown without supplementary light. The plant height and hypocotyl length of cucumber seedlings decreased quadratically with an increase of blue light fractions provided by combinations of white and blue LEDs. Additionally, the leaf area and stem diameter of cucumber seedlings increased first and a decreased trend was observed subsequently with the increasing fraction of blue light in a quadratic function. Similar trends were found in root architecture (e.g., root length, root surface area, and root volume) and root activity of cucumber seedlings; however, no significant differences were exhibited as blue light fraction increased from 38.5% to 43.5% provided by supplementary light. Stem firmness and cellulose content increased by 26.2% and 23.4%, respectively, as 15% blue light was added to white LEDs. In conclusion, the 43.5% blue light created by supplementary broad-spectrum white and blue LEDs resulted in compact and stoutest cucumber seedlings along with well-developed root system and higher stem firmness, thus improving the mechanical strength of the greenhouse-grown cucumber seedlings for transplanting.

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Section: Discussionmentioning

confidence: 97%

Morphology, growth, and physiological traits of greenhouse cucumber seedlings as affected by supplementary white and blue LEDs

Yan¹,

Wang²,

Cheng³

et al. 2022

International Journal of Agricultural and Biological Engineering

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“…To record photosynthetic rates (A), the conditions in the measurement chamber of the device were set to 30 °C leaf temperature, 50% humidity and an ambient CO 2 concentration between 399 and 410 ppm. The red:far-red ratios were simulated in LED chambers, according to [ 49 ]. The KAN plants used for this purpose, grown under controlled greenhouse conditions, were in the fifth week of flowering (56 DAP), and the first fully developed main leaf (rank 4) was used.…”

Section: Methodsmentioning

confidence: 99%

Impacts of Different Light Spectra on CBD, CBDA and Terpene Concentrations in Relation to the Flower Positions of Different Cannabis Sativa L. Strains

Reichel

Munz²,

Hartung³

et al. 2022

Plants

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Cannabis is one of the oldest cultivated plants, but plant breeding and cultivation are restricted by country-specific regulations. The plant has gained interest due to its medically important secondary metabolites, cannabinoids and terpenes. Besides biotic and abiotic stress factors, secondary metabolism can be manipulated by changing light quality and intensity. In this study, three morphologically different cannabis strains were grown in a greenhouse experiment under three different light spectra with three real light repetitions. The chosen light sources were as follows: a CHD Agro 400 ceramic metal-halide lamp with a sun-like broad spectrum and an R:FR ratio of 2.8, and two LED lamps, a Solray (SOL) and an AP67, with R:FR ratios of 13.49 and 4, respectively. The results of the study indicated that the considered light spectra significantly influenced CBDA and terpene concentrations in the plants. In addition to the different light spectra, the distributions of secondary metabolites were influenced by flower positions. The distributions varied between strains and indicated interactions between morphology and the chosen light spectra. Thus, the results demonstrate that secondary metabolism can be artificially manipulated by the choice of light spectrum, illuminant and intensity. Furthermore, the data imply that, besides the cannabis strain selected, flower position can have an impact on the medicinal potencies and concentrations of secondary metabolites.

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“…In addition, the study of Hitz et al. [ 95 ] revealed that lower blue-light intensity could increase soybean leaf area and biomass, which is favorable for rapid soybean production; interestingly, the use of light-emitting diodes with the low blue light of 60 μmol·m −2 ·s −1 contributed to a reduced energy consumption by 7% compared to the control. Hence, a reasonable lighting scheme for SB strategies can be made available by achieving a satisfactory output (see Fig.…”

Section: Models Able To Assist For Sbmentioning

confidence: 99%

Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding

Yu,

Cheng,

Wang

et al. 2023

Plant Phenomics

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The environmental conditions in customered speed breeding practice are, to some extent, empirical and, thus, can be further optimized. Crop and plant models have been developed as powerful tools in predicting growth and development under various environments for extensive crop species. To improve speed breeding, crop models can be used to predict the phenotypes resulted from genotype by environment by management at the population level, while plant models can be used to examine 3-dimensional plant architectural development by microenvironments at the organ level. By justifying the simulations via numerous virtual trials using models in testing genotype × environment × management, an optimized combination of environmental factors in achieving desired plant phenotypes can be quickly determined. Artificial intelligence in assisting for optimization is also discussed. We admit that the appropriate modifications on modeling algorithms or adding new modules may be necessary in optimizing speed breeding for specific uses. Overall, this review demonstrates that crop and plant models are promising tools in providing the optimized combinations of environment factors in advancing crop growth and development for speed breeding.

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Modelling of Soybean (Glycine max (L.) Merr.) Response to Blue Light Intensity in Controlled Environments

Cited by 11 publications

References 57 publications

Morphology, growth, and physiological traits of greenhouse cucumber seedlings as affected by supplementary white and blue LEDs

Morphology, growth, and physiological traits of greenhouse cucumber seedlings as affected by supplementary white and blue LEDs

Impacts of Different Light Spectra on CBD, CBDA and Terpene Concentrations in Relation to the Flower Positions of Different Cannabis Sativa L. Strains

Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding

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