Relationships of Spectral Reflectance with Plant Tissue Mineral Elements of Common Bean (
            <i>Phaseolus Vulgaris</i>
            L.) Under Drought and Salinity Stresses

Boshkovski, Blagoja; Tzerakis, Constantinos; Doupis, Georgios; Zapolska, Anhelina; Kalaitzidis, Chariton; Koubouris, Georgios

doi:10.1080/00103624.2020.1729789

Cited by 12 publications

(7 citation statements)

References 37 publications

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“…In addition, all the minerals, except Ca and S, portrayed weak correlations with all the spectral indices, indicating that there was no correlation between the spectral indices and the mineral elements. Weak prediction accuracy of most mineral elements and a weak correlation between the spectral data and the mineral elements have also been reported for common kidney beans (Phaseolus vulgaris L.) [60]. The mineral elements K, Ca, Mg, Na, Fe, Mn, Zn, and Cu are metallic elements that exist primarily as ions in plant tissues and, thus, in ionic form they do not produce active spectral absorption features in the visible, near-infrared, and shortwave-infrared regions of the spectrum [36].…”

Section: Interaction Between Nutritional Traits and Spectral Reflectamentioning

confidence: 85%

“…Thus, the plants were probably experiencing stress at irrigation doses of 30% enriched with 0.01 mM K, given that the indices used in the assessment were calculated from spectral measurements in the visible and near-infrared regions. The near-infrared region of the spectra is affected by the leaf structure and water content [60].…”

Section: Interaction Between Growth Traits and Spectral Reflectance Imentioning

confidence: 99%

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Red-Green-Blue and Multispectral Imaging as Potential Tools for Estimating Growth and Nutritional Performance of Cassava under Deficit Irrigation and Potassium Fertigation

et al. 2021

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Cassava has high energy value and rich nutritional content, yet its productivity in the tropics is seriously constrained by abiotic stresses such as water deficit and low potassium (K) nutrition. Systems that allow evaluation of genotypes in the field and greenhouse for nondestructive estimation of plant performance would be useful means for monitoring the health of plants for crop-management decisions. We investigated whether the red–green–blue (RGB) and multispectral images could be used to detect the previsual effects of water deficit and low K in cassava, and whether the crop quality changes due to low moisture and low K could be observed from the images. Pot experiments were conducted with cassava cuttings. The experimental design was a split-plot arranged in a completely randomized design. Treatments were three irrigation doses split into various K rates. Plant images were captured beginning 30 days after planting (DAP) and ended at 90 DAP when plants were harvested. Results show that biomass, chlorophyll, and net photosynthesis were estimated with the highest accuracy (R2 = 0.90), followed by leaf area (R2 = 0.76). Starch, energy, carotenoid, and cyanide were also estimated satisfactorily (R2 > 0.80), although cyanide showed negative regression coefficients. All mineral elements showed lower estimation accuracy (R2 = 0.14–0.48) and exhibited weak associations with the spectral indices. Use of the normalized difference vegetation index (NDVI), green area (GA), and simple ratio (SR) indices allowed better estimation of growth and key nutritional traits. Irrigation dose 30% of pot capacity enriched with 0.01 mM K reduced most index values but increased the crop senescence index (CSI). Increasing K to 16 mM over the irrigation doses resulted in high index values, but low CSI. The findings indicate that RGB and multispectral imaging can provide indirect measurements of growth and key nutritional traits in cassava. Hence, they can be used as a tool in various breeding programs to facilitate cultivar evaluation and support management decisions to avert stress, such as the decision to irrigate or apply fertilizers.

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Section: Interaction Between Nutritional Traits and Spectral Reflectamentioning

confidence: 85%

Section: Interaction Between Growth Traits and Spectral Reflectance Imentioning

confidence: 99%

Red-Green-Blue and Multispectral Imaging as Potential Tools for Estimating Growth and Nutritional Performance of Cassava under Deficit Irrigation and Potassium Fertigation

et al. 2021

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“…In general, no changes in ion content are expected in plants affected by water stress. Accordingly, only minor changes were found in P. vulgaris compared to those reported in salt stress treatments [59]. However, some reports detected significant ion content variations attributed to two main causes.…”

Section: Discussionmentioning

confidence: 74%

Are Traditional Lima Bean (Phaseolus lunatus L.) Landraces Valuable to Cope with Climate Change? Effects of Drought on Growth and Biochemical Stress Markers

et al. 2022

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Agrobiodiversity and adaptability to environmental changes derived from global warming are challenges for the future of agriculture. In this sense, landraces often have high levels of genetic variation, tightly connected with the changing environmental conditions of a territory. The genus Phaseolus, with five domesticated species, is one of the most important sources of proteins, carbohydrates and micronutrients in various countries. This study aimed to compare the adaptation capacity to drought, in the vegetative growth phase, of a commercial cultivar and two landraces traditionally cultivated in the Mediterranean basin of Phaseolus lunatus (Lima bean). Growth and biochemical responses of the analysed genotypes to different water-deficit treatments were evaluated and compared. In addition, the effectiveness of the voltammetric method for evaluating stress levels in cultivated plants was tested. The studied parameters revealed that P. lunatus is a drought-tolerant species, showing similar results for the three cultivars. However, contrary to what was expected from the germination phase results, the commercial variety Peru showed some better responses under water stress conditions. Finally, the voltammetric method proved to be a good and fast tool for assessing oxidative stress in cultivated plants, showing results in agreement with total phenolic compounds and total flavonoid fluctuations.

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“…Si has reportedly assisted plant growth in G. max Merr. (Hussain et al, 2021) and Phaseolus vulgaris L. (Boshkovski et al, 2020). Speci cally, it increased root length and biomass, nodule growth, and improved nodule function when supplied into the root medium under drought conditions (Tripathi et al, 2021).…”

Section: Discussionmentioning

confidence: 98%

Interactive effects of silicon and arbuscular mycorrhiza on root growth, uptake of several soil elements, antioxidant potential, and secondary metabolites of Licorice (Glycyrrhiza glabra L.) under water-deficit condition

Haghighi¹,

Saharkhiz

Zarei³

2022

Preprint

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AimsWater deficit affect agricultural systems negatively globally. This research objective was to mitigate drought detrimental effects on Licorice growth, utilizing biofertilizer and mineral nutrition. Exogenous application of silicon (Si) and arbuscular mycorrhizal fungi (AMF) may help licorice plant cope with drought stress. MethodsAn experiment was designed with two Si solute levels in irrigation water (i.e. 0 (Si0) and 300 mg/L (Si1)), two levels of AMF inoculation (i.e. inoculation with Claroiedoglomus etunicatum (F1) and without inoculation (F0)), and five soil moisture regimes (i.e. 100, 80, 60, 40 and 20% of field capacity (FC). The impacts of Si and AMF were assessed on licorice yield, mineral uptake, antioxidant potential, and secondary metabolites under water-deficit stress. After two months, the plants were harvested and their morphological traits were measured. Root extracts were utilized for secondary metabolites and nutrient determination. ResultsUnder water deficit conditions, there were significant decreases in root length, diameter, and dry weight (DW) (p<0.05), compared to the control. Si and AMF could significantly (p<0.05) enhance root area (47.75-150.64 cm2) under all irrigation levels. Also, Si significantly (p<0.05) increased the level of root colonization in licorice. The maximum glycyrrhizic acid (GA) (26.62 mg/g DW) was achieved by the interaction between Si and AMF in response to 40% FC. A reduction in total flavonoids and phenolics of licorice was observed under severe drought levels; however, the Si and AMF acted to increase sinapic acid (16.46 mg/g DW), and trans ferulic acid (1.11 mg/g DW) in roots. The results indicated that the interaction between Si and AMF positively affected nitrogen (N) and phosphorous (P) concentrations in roots (53.51 and 74.07 %, respectively). At low irrigation levels, the concentrations of P and Si elements increased significantly in the roots. Also, there was an increase in potassium concentration (K) in response to 100, 80, and 40% FC among Si-treated plants (38.5-44.7%). ConclusionsThe exogenous application of Si and AMF showed a synergistic impact on the ability to mitigate the adverse effects of drought stress by improving plant growth and enhancing metabolite accumulation in licorice. These findings bring prospective insight into world water deficit crisis conquering.

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Relationships of Spectral Reflectance with Plant Tissue Mineral Elements of Common Bean ( Phaseolus Vulgaris L.) Under Drought and Salinity Stresses

Cited by 12 publications

References 37 publications

Red-Green-Blue and Multispectral Imaging as Potential Tools for Estimating Growth and Nutritional Performance of Cassava under Deficit Irrigation and Potassium Fertigation

Red-Green-Blue and Multispectral Imaging as Potential Tools for Estimating Growth and Nutritional Performance of Cassava under Deficit Irrigation and Potassium Fertigation

Are Traditional Lima Bean (Phaseolus lunatus L.) Landraces Valuable to Cope with Climate Change? Effects of Drought on Growth and Biochemical Stress Markers

Interactive effects of silicon and arbuscular mycorrhiza on root growth, uptake of several soil elements, antioxidant potential, and secondary metabolites of Licorice (Glycyrrhiza glabra L.) under water-deficit condition

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