Effects of LED supplemental lighting on the growth and metabolomic profile of Taxus baccata cultivated in a smart greenhouse

Light emitting diode (LED) lamps are increasingly being studied in cultivation of horticultural, ornamental and medicinal plants as means to increase yield, quality, stress resistance, and bioactive compounds content. Enhancing the production of metabolites for medicinal or pharmaceutical use by regulating LED intensity and spectra is a challenging subject, where promising results have been achieved. Nevertheless, some species have been poorly investigated, despite their interest as a source of medicinally active substances, with particular reference to LED effects at the plant cultivation level. This study evaluates the effects of supplementary top-light LED treatments on Taxus baccata, one of the main sources of taxane precursors. Blue, red and mixed red–and-blue spectra were tested at 100 μM m-2 s-1. Moreover, 50 and 150 μM m-2 s-1 intensities were tested for the mixed spectrum. All treatments were set for 14 hours a day and were tested against natural light as control treatment, in a controlled environment, from 19 August to 9 December 2019, this latter date representing 112 days after treatment (DAT) began. A smart monitoring and control system powered by environmental and proximal sensors was implemented to assure homogeneity of temperature, humidity, and base natural light for all the treatments. It resulted in negligible deviations from expected values and reliable exclusion of confusing factors. Biometric measurements and 1H-NMR based metabolomic analysis were performed to investigate growth and phytochemical profile throughout the trial. One-way ANOVA showed that supplemental LED lighting increased plant height and number of sprouts. Considering the mixed red–and-blue spectrum, plant height increased almost proportionally from control to 100 μM m-2 s-1 (+20% at 112 DAT), with no further increase at higher intensity. The number of sprouts was strongly enhanced by LED treatments only in the early phase (48.9 vs. 7.5 sprouts in the averaged 50, 100 and 150 μM m-2 s-1 vs. the control at 28 DAT), with no differences related to intensity in the very early stage, and more persisting effects (up to 56 DAT) for higher intensities. After the very early growth stages (28 DAT), plant vigor showed a modest although significant increase over time compared to the control, with no differences related to light intensity (0.81 vs. 0.74 of NDVI in the averaged 50, 100 and 150 μM m-2 s-1 vs. the control, across 56, 84 and 112 DAT). The different spectra tested at 100 μM m-2 s-1 showed no significant differences in growth parameters, except for a slight beneficial influence of blue (alone or with red) compared to only red for sprouting. According to the metabolomic analysis, treated plants at 28 DAT were characterized by the highest content of sucrose and aromatic compounds. Signals of a putative taxane were detected in the 1H NMR profiles of plants, which were compared to the spectrum of baccatin III standard. However, the intensity of these spectral signals was not affected by the treatment, while they increased only slightly during time. Light at 150 μM m-2 s-1 induced the strongest variation in the metabolome. Conversely, light composition did not induce significant differences in the metabolome.

[1]  Marco Bovo,et al.  A method for the validation of measurements collected by different monitoring systems applied to aquaculture processing plants , 2021, Biosystems Engineering.

[2]  R. Hernández,et al.  Effects of Light Intensity, Spectral Composition, and Paclobutrazol on the Morphology, Physiology, and Growth of Petunia, Geranium, Pansy, and Dianthus Ornamental Transplants , 2021, Journal of Plant Growth Regulation.

[3]  L. Barbanti,et al.  Metabolomic Study of Sorghum (Sorghum bicolor) to Interpret Plant Behavior under Variable Field Conditions in View of Smart Agriculture Applications , 2021, Journal of agricultural and food chemistry.

[4]  Rakesh Kumar,et al.  Microclimatic buffering on medicinal and aromatic plants: A review , 2020 .

[5]  Patrizia Tassinari,et al.  A Smart Monitoring System for a Future Smarter Dairy Farming , 2020, 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).

[6]  Patrizia Tassinari,et al.  A Smart Monitoring System for Self-sufficient Integrated Multi-Trophic AquaPonic , 2020, 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).

[7]  M. Accorsi,et al.  Microventilation system improves the ageing conditions in existent wine cellars , 2020 .

[8]  J. Gajc-Wolska,et al.  Comparison of Selected Costs in Greenhouse Cucumber Production with LED and HPS Supplemental Assimilation Lighting , 2020, Agronomy.

[9]  Yu-jie Fu,et al.  Simultaneous determination of taxoids and flavonoids in twigs and leaves of three Taxus species by UHPLC-MS/MS. , 2020, Journal of pharmaceutical and biomedical analysis.

[10]  E. Aviv-Sharon,et al.  Effects of daytime intra-canopy LED illumination on photosynthesis and productivity of bell pepper grown in protected cultivation , 2019, Scientia Horticulturae.

[11]  Qichang Yang,et al.  Sugar accumulation and growth of lettuce exposed to different lighting modes of red and blue LED light , 2019, Scientific Reports.

[12]  K. Taulavuori,et al.  Early growth of Scots pine seedlings is affected by seed origin and light quality. , 2019, Journal of plant physiology.

[13]  Dehai Zhu,et al.  On-Barn Pig Weight Estimation Based on Body Measurements by Structure-from-Motion (SfM) , 2018, Sensors.

[14]  Z. Lai,et al.  Effects of supplemental lighting with different light qualities on growth and secondary metabolite content of Anoectochilus roxburghii , 2018, PeerJ.

[15]  Yingxian Zhao,et al.  Response of Plant Secondary Metabolites to Environmental Factors , 2018, Molecules.

[16]  Tufail Bashir,et al.  An Overview of LEDs’ Effects on the Production of Bioactive Compounds and Crop Quality , 2017, Molecules.

[17]  Andrea Pezzuolo,et al.  Influence of automatic feeding systems on design and management of dairy farms , 2017 .

[18]  Alberto Barbaresi,et al.  Retrofit interventions in non-conditioned rooms: calibration of an assessment method on a farm winery , 2017 .

[19]  G. Stutte Commercial Transition to LEDs: A Pathway to High-value Products , 2015 .

[20]  R. Morrow,et al.  Blue Wavelengths from LED Lighting Increase Nutritionally Important Metabolites in Specialty Crops , 2015 .

[21]  Stefano Benni,et al.  Indoor air temperature monitoring: A method lending support to management and design tested on a wine-aging room , 2015 .

[22]  B. Abbasi,et al.  Morphogenic and biochemical variations under different spectral lights in callus cultures of Artemisia absinthium L. , 2014, Journal of photochemistry and photobiology. B, Biology.

[23]  Wen-Dar Huang,et al.  The effects of red, blue, and white light-emitting diodes on the growth, development, and edible quality of hydroponically grown lettuce (Lactuca sativa L. var. capitata) , 2013 .

[24]  S. W. Park,et al.  Comparative Study of Color, Pungency, and Biochemical Composition in Chili Pepper (Capsicum annuum) Under Different Light-emitting Diode Treatments , 2012 .

[25]  E. Goto,et al.  Plant production in a closed plant factory with artificial lighting , 2012 .

[26]  A. Goossens,et al.  The relationship between TXS, DBAT, BAPT and DBTNBT gene expression and taxane production during the development of Taxus baccata plantlets. , 2011, Plant science : an international journal of experimental plant biology.

[27]  Naichia Yeh,et al.  High-brightness LEDs—Energy efficient lighting sources and their potential in indoor plant cultivation , 2009 .

[28]  A. Edreva The importance of non-photosynthetic pigments and cinnamic acid derivatives in photoprotection , 2005 .

[29]  Hao Zhang,et al.  Improved growth of Artemisia annua L hairy roots and artemisinin production under red light conditions , 2001, Biotechnology Letters.

[30]  A. K. Mitchell Acclimation of Pacific yew (Taxus brevifolia) foliage to sun and shade. , 1998, Tree physiology.

[31]  Ranga B. Myneni,et al.  The interpretation of spectral vegetation indexes , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[32]  R. Jackson,et al.  Multisite Analyses of Spectral-Biophysical Data for Wheat , 1992 .

[33]  H. Ellenberg,et al.  Vegetation Ecology of Central Europe. , 1989 .

[34]  P. Sellers Canopy reflectance, photosynthesis and transpiration , 1985 .

[35]  A. Schwartz,et al.  Metabolic energy for stomatal opening. Roles of photophosphorylation and oxidative phosphorylation , 1984, Planta.

[36]  G. Deitzer,et al.  Kinetics and time dependence of the effect of far red light on the photoperiodic induction of flowering in wintex barley. , 1979, Plant physiology.

[37]  G. Blaauw‐Jansen,et al.  THIRD POSITIVE (C‐TYPE) PHOTOTROPISM IN THE AVENA COLEOPTILE1 , 1970 .

[38]  Spyros Lalis,et al.  A Service-Based Approach for the Uniform Access of Wireless Sensor Networks and Custom Application Tasks Running on Sensor Nodes , 2018 .

[39]  K. Hirata,et al.  Effects of Ultraviolet A Supplemented with Red Light Irradiation on Vinblastine Production in Catharanthus roseus , 2017 .

[40]  T. Hakala,et al.  Growth and development of Norway spruce and Scots pine seedlings under different light spectra , 2016 .

[41]  K. Ohashi-Kaneko,et al.  Estimation of Optimal Red Light Intensity for Production of the Pharmaceutical Drug Components, Vindoline and Catharanthine, Contained in Catharanthus roseus (L.) G. Don , 2015 .

[42]  E. Ono,et al.  Growth and alkaloid yields of Catharanthus roseus (L.) G. Don cultured under red and blue LEDs , 2013 .

[43]  Zhang Zhi-jun Effect of Light Quality on Growth and Taxanes Contents of Taxus yunnanensis , 2012 .

[44]  Wang Guofu,et al.  Effect of winter LED supplementary illumination on growing development of Taxus chinensis var. mairei Cheng et L. K. , 2012 .

[45]  E. Schäfer,et al.  PHOTOMORPHOGENESIS IN PLANTS AND BACTERIA , 2006 .

[46]  D. C. Morgan,et al.  A systematic relationship between phytochrome-controlled development and species habitat, for plants grown in simulated natural radiation , 2004, Planta.

[47]  Jerry L. Hatfield,et al.  Intercepted photosynthetically active radiation estimated by spectral reflectance , 1984 .

[48]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .