Evaluation of pigment, antioxidant capacity and bioactive compounds in microgreens of wheat landraces and cereals

Altuner, Fevzi; Tunçtürk, Rüveyde; Oral, Erol; Tunçtürk, Murat

doi:10.4067/s0718-58392021000400643

Cited by 11 publications

(4 citation statements)

References 30 publications

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“…Related studies have shown that relative anthocyanin values measured by Dualex Scientific + correlate with absolute anthocyanin values, suggesting that relative measurements can be used to measure anthocyanin content [40,41]. Besides, the anthocyanin relative values measured by the Dualex Scientific+ were able to observe the growth conditions of wheat at different acquisition dates [42]. In this study, Dualex Scientific+ was used to determine the relative anthocyanin values of winter wheat non-destructively, and the measurement of each sample point immediately followed the SVC measurement.…”

Section: Determination Of Relative Anthocyanin Valuesmentioning

confidence: 88%

Estimation of Anthocyanins in Winter Wheat Based on Band Screening Method and Genetic Algorithm Optimization Models

Miao,

Chen,

Guo

et al. 2024

Remote Sensing

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Anthocyanin can improve the stress tolerance and disease resistance of winter wheat to a certain extent, so timely and accurate monitoring of anthocyanin content is crucial for the growth and development of winter wheat. This study measured the ground-based hyperspectral reflectance and the corresponding anthocyanin concentration at four key growth stages—booting, heading, flowering, and filling—to explore the spectral detection of anthocyanin in winter wheat leaves. Firstly, the first-order differential spectra (FDS) are obtained by processing based on the original spectra (OS). Then, sensitive bands (SBS), the five vegetation indices for optimal two-band combinations (VIo2), and the five vegetation indices for optimal three-band combinations (VIo3) were selected from OS and FDS by band screening methods. Finally, modeling methods such as RF, BP, and KELM, as well as models optimized by genetic algorithm (GA), were used to estimate anthocyanin content at different growth stages. The results showed that (1) among all the models, the GA_RF had incredible performance, VIo3 was the superior parameter for estimating anthocyanin values, and the model GA_RF of FDS data based on VIo3 for the filling stage (Rv2 = 0.950, RMSEv = 0.005, RPDv = 4.575) provided the best estimation of anthocyanin. (2) the first-order differential processing could highlight the degree of response of SBS, VIo2, and VIo3 to the anthocyanin values. The model performances of the FDS were better than that of OS on the whole, and the Rv2 of the optimal models of FDS were all greater than 0.89. (3) GA had optimizing effects on the RF, BP, and KELM, and overall, the GA models improved the R2 by 0.00%-18.93% compared to the original models. These results will provide scientific support for the use of hyperspectral techniques to monitor anthocyanin in the future.

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Section: Determination Of Relative Anthocyanin Valuesmentioning

confidence: 88%

Estimation of Anthocyanins in Winter Wheat Based on Band Screening Method and Genetic Algorithm Optimization Models

Miao,

Chen,

Guo

et al. 2024

Remote Sensing

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“…The harvesting period is 2–4 days for rice grass, 6–9 days for barley grass, 6–9 days for wheat grass, 6–9 days for oat grass, 8–12 days for jowar grass, 7 days for maize grass, 7–14 days for buckwheat, 4–6 days for mung bean, 6–8 days for chickpea, 12–14 days for mint, 20 days for basil, 18–20 days for sage, 16–22 days for oregano, 9–12 days for amaranth, 10–12 days for beet, 8–12 days for chard, 12–21 days for red swiss chard, 10–17 days for quinoa, 4–6 days for spinach, 14–25 days for chives, 12–14 days for garlic, 10–12 days for leeks, 12 days for onion, 15–25 days for carrot, 7–21 days for dill, 21–30 days for celery, 10–14 days for fennel, 5–10 days for radish, 5–20 days for aster cress, 8–16 days for mustard, 7–12 days for sunflower, 7–21 days for linseed, 7–21 days for cucumber, 4–20 days for Jute, 7–21 days for squash, 7–14 days for chicory, 8–16 days for endive, 7–16 days for lettuce, 7–21 days for beans, 7–28 days for welsh onion, 9–21 days for long green onion, 7–16 days for coriander, and 6–14 days for fenugreek ( Table ) .…”

Section: Factors Affecting In Microgreen Plant Production In Soilless...mentioning

confidence: 99%

“…The agar−agar is mixed with the water, and mixtures of agar−agar + water are sprinkled on seed material containing growth media. 143,144 145 The harvesting period is 2−4 days for rice grass, 146 6−9 days for barley grass, 6−9 days for wheat grass, 147 6−9 days for oat grass, 148 8−12 days for jowar grass, 149 7 days for maize grass, 150 7−14 days for buckwheat, 151 4−6 days for mung bean, 152 6−8 days for chickpea, 153 12−14 days for mint, 154 20 days for basil, 155 18−20 days for sage, 156 16−22 days for oregano, 157 9−12 days for amaranth, 158 10−12 days for beet, 159 8−12 days for chard, 160 12−21 days for red swiss chard, 161 10−17 days for quinoa, 162 4−6 days for spinach, 163 14−25 days for chives, 164 12−14 days for garlic, 165 10−12 days for leeks, 166 12 days for onion, 167 15−25 days for carrot, 168 7− 21 days for dill, 169 21−30 days for celery, 170 10−14 days for fennel, 171 5−10 days for radish, 172 5−20 days for aster cress, 173 8−16 days for mustard, 174 7−12 days for sunflower, 175 7−21 days for linseed, 176 7−21 days for cucumber, 4−20 days for Jute, 177 7−21 days for squash, 178 7−14 days for chicory, 179 8− 16 days for endive, 180 7−16 days for lettuce, 181 7−21 days for beans, <...…”

Section: Watermentioning

confidence: 99%

Factors Affecting Production, Nutrient Translocation Mechanisms, and LED Emitted Light in Growth of Microgreen Plants in Soilless Culture

Sharma,

Hazarika,

Heisnam

et al. 2023

ACS Agric. Sci. Technol.

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Microgreens or vegetable greens are just germinated plants harvested once the cotyledon leaves develop with one set of true leaves, and they are important as a nutrition supplement. Soilless culture of microgreens induces growth and nutrient transport with distinct mechanisms in the microgreen plant. The interventions of biofortification and nanotechnology have improved nutrient content, growth, and shelf life of microgreen plants. Water based culture and substrate based culture promote growth of different varieties of microgreen plants in a closed system. Biostimulants are enriched in sprouts and microgreen plants through biofortification methods: the root/nutrient solution method, fertigation method, and foliar spray method. The nutrient dynamics are evaluated through the Mechanistic Physiological model with a Machine Learning model in microgreen plants. Their disease resistance responses are regulated by the aryl hydrocarbon receptor (AhR) pathway. Distinct light wavelengths of light emitting diodes (LEDs) initiate cellular, biochemical, and molecular processes in microgreen plants. Microbial activities in growth media, regrowth of plants after first harvesting, the effect of cold water treatment, the storage system, the shelf life, and wilting problems in the microgreen production system require detailed study. The anatomy and molecular mechanisms of morphological growth also require investigation in microgreen plants.

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“…Additionally, Indian researchers contributed to this field by investigating the utilization of microgreens for the production of functional juices [17]. Furthermore, researchers from Turkey focused on evaluating pigments, antioxidants, and bioactive compounds in wheat landraces and cereals [18,19].…”

Section: Scientific Production On Microgreens From 2000 To 2021: a Ge...mentioning

confidence: 99%

Updates on Microgreens Grown under Artificial Lighting: Scientific Advances in the Last Two Decades

et al. 2023

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Microgreens have a high nutrient density and are beneficial to human health. Even though this class of vegetables have gaining increasing levels of attention in the last year, scientific research on the growth of microgreens in controlled environments under artificial lighting have not been thoroughly characterized. By describing the scientific outputs focused on the impacts of artificial illumination on microgreens, especially from the first two decades of the 21st century, it is therefore possible to detect advancements and research gaps in this research field. This review is divided in two parts: first, a general overview of the scientific production about microgreens; second, a systematic review of scientific studies exploring artificial lighting on the production of microgreens. The overview of scientific production on microgreens and artificial lighting across the Scopus, Web of Science, and Scielo databases, from 2000 to 2021, respectively, indicated three phases, as before 2011 no paper was found: phase 1 (2012 to 2014), six papers; phase 2 (2015 to 2018), fifteen papers; and phase 3 (2019 to 2021), forty-six papers, respectively. Mustard was the most evaluated crop under all production stages. With regard to the second part of this review, studies on artificial lighting with fluorescent lamps (high-pressure sodium light bulbs—HPS), from the supplementation to the replacement of HPS lighting with light emitting diode (LED) lamps, and plant responses with respect to light properties comprise the main works identified. Studies on the distribution of environmental factors under controlled microgreen cultivation present research gaps.

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Evaluation of pigment, antioxidant capacity and bioactive compounds in microgreens of wheat landraces and cereals

Cited by 11 publications

References 30 publications

Estimation of Anthocyanins in Winter Wheat Based on Band Screening Method and Genetic Algorithm Optimization Models

Estimation of Anthocyanins in Winter Wheat Based on Band Screening Method and Genetic Algorithm Optimization Models

Factors Affecting Production, Nutrient Translocation Mechanisms, and LED Emitted Light in Growth of Microgreen Plants in Soilless Culture

Updates on Microgreens Grown under Artificial Lighting: Scientific Advances in the Last Two Decades

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