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Search Results (3,370)

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19 pages, 1812 KiB  
Article
Postharvest LED Treatment of Tomatoes Harvested at an Early Stage of Coloration
by Maria Grzegorzewska, Justyna Szwejda-Grzybowska, Monika Mieszczakowska-Frąc and Bożena Matysiak
Agronomy 2024, 14(11), 2727; https://doi.org/10.3390/agronomy14112727 (registering DOI) - 19 Nov 2024
Abstract
The tomato plant is one of the most important vegetable crops, with a global production of around 188 million tones. The greatest losses in quantity and quality occur during storage, transport, and sale. The aim of the study was to determine the effect [...] Read more.
The tomato plant is one of the most important vegetable crops, with a global production of around 188 million tones. The greatest losses in quantity and quality occur during storage, transport, and sale. The aim of the study was to determine the effect of irradiation on the quality and storability of the tomato ‘Tomimaru Muchoo’. Fruit harvested at the turning ripening stage were illuminated for the first two weeks at 15 °C with four visible LED light spectra, with different percentages of blue, green, and red light (BGR). The illumination times were 4 and 8 h per day (hpd). After illumination, the tomatoes were stored at 20 °C in the dark for 4 weeks. Immediately after 14 d of illumination, all tomatoes were fully ripe, although they showed varying red color intensity. In addition, all fruit retained very good quality and freshness. During further storage at 20 °C, there was a gradual decrease in tomato quality. However, LED lighting helped delay softening, reduce rotting, and thus maintain better tomato quality. Longer daily irradiation (8 h) delayed tomato senescence to a greater extent than shorter irradiation (4 hpd). Comparing the spectra, the greatest reduction in softening and rotting occurred in tomatoes illuminated with the spectrum containing the highest amount of blue light (56%). These tomatoes also maintained the lowest color index (a*/b*) throughout storage at 20 °C, which was especially evident in tomatoes that had been illuminated for 8 hpd. The light treatment influenced the maintenance of higher levels of ascorbic acid and antioxidant activity in tomatoes. However, irradiation did not increase the polyphenol content of tomatoes or reduce the lycopene levels in the fruit. Overall, the results showed that LED irradiation during storage improves storability and affects the health-promoting components of tomato fruit. It is a promising tool for reducing losses of horticultural produce. Full article
(This article belongs to the Special Issue Light Environment Regulation of Crop Growth)
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Figure 1
<p>Deflection force of 10% of the fruit width after 14 d of illumination at 15 °C. Bars represent averages and vertical lines represent standard error (SE). The following spectra (B:G:R:) were used: I–35:11:53; II–17:12:70; III–56:23:21; and IV–7:3:88. Different small letters above the bars indicate significant differences according to <span class="html-italic">p</span> &lt; 0.05 (Tukey test). Spectrum averages (8 and 4 h) were compared separately and different capital letters below the horizontal lines showed significant differences according to <span class="html-italic">p</span> &lt; 0.05 (Tukey test).</p>
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<p>Effect of 2-week light treatment at 15 °C on tomato quality during subsequent storage at 20 °C: (<b>A</b>)—softening, (<b>B</b>)—rotting, (<b>C</b>)—marketable value. Each value represents an average of 2 experiments for each light spectrum and exposure time. The following spectra (B:G:R) were used: I–35:11:53; II–17:12:70; III–56:23:21; and IV–7:3:88. LSD indicates significant differences according to <span class="html-italic">p</span> &lt; 0.05 (Tukey test).</p>
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<p>Effect of 2-week light treatment of tomatoes at 15 °C on their weight loss during subsequent storage at 20 °C. Each value represents the average of 2 experiments for each light spectrum and exposure time. The following spectra (B:G:R) were used: I—35:11:53; II—17:12:70; III—56:23:21; and IV—7:3:88. LSD indicates significant differences according to <span class="html-italic">p</span> &lt; 0.05 (Tukey test).</p>
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<p>Effect of 2-week light treatment at 15 °C on tomato coloration during storage at 20 °C. (<b>A</b>) non-illuminated tomatoes; (<b>B</b>) illuminated by spectrum III for 8 hpd.</p>
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<p>Effect of 2-week light treatment at 15 °C on tomato coloration during storage at 20 °C: (<b>A</b>)—L* (lightness), (<b>B</b>)—C* (chroma), (<b>C</b>)—H° (hue angle). Each value represents the average of 2 experiments for each light spectrum and exposure time. The following spectra (B:G:R) were used: I—35:11:53; II—17:12:70; III—56:23:21; and IV—7:3:88. LSD indicates significant differences according to <span class="html-italic">p</span> &lt; 0.05 (Tukey test).</p>
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<p>Health-promoting value of tomatoes after 14 days of irradiation at 15 °C + 5 days at 20 °C in the dark: (<b>A</b>)—ascorbic acid, (<b>B</b>)—polyphenols, (<b>C</b>)—lycopene, (<b>D</b>)—ABTS. Tag 1 next to bold capital letters in the graph indicates the first experiment, while tag 2 indicates the second experiment. The following spectra (B:G:R) were used: I—35:11:53; II—17:12:70; III—56:23:21; and IV—7:3:88. Different small letters above the bars indicate significant differences among experimental objects, according to <span class="html-italic">p</span> &lt; 0.05 (Tukey test). Spectrum averages (8 and 4 h) were compared separately and different capital letters below the horizontal lines showed significant differences according to <span class="html-italic">p</span> &lt; 0.05 (Tukey test).</p>
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21 pages, 4811 KiB  
Article
Genome-Wide Identification of GATA Family Genes in Potato and Characterization of StGATA12 in Response to Salinity and Osmotic Stress
by Xi Zhu, Huimin Duan, Ning Zhang, Yasir Majeed, Hui Jin, Wei Li, Zhuo Chen, Shu Chen, Jinghua Tang, Yu Zhang and Huaijun Si
Int. J. Mol. Sci. 2024, 25(22), 12423; https://doi.org/10.3390/ijms252212423 (registering DOI) - 19 Nov 2024
Abstract
GATA factors are evolutionarily conserved transcription regulators that are implicated in the regulation of physiological changes under abiotic stress. Unfortunately, there are few studies investigating the potential role of GATA genes in potato plants responding to salt and osmotic stresses. The physicochemical properties, [...] Read more.
GATA factors are evolutionarily conserved transcription regulators that are implicated in the regulation of physiological changes under abiotic stress. Unfortunately, there are few studies investigating the potential role of GATA genes in potato plants responding to salt and osmotic stresses. The physicochemical properties, chromosomal distribution, gene duplication, evolutionary relationships and classification, conserved motifs, gene structure, interspecific collinearity relationship, and cis-regulatory elements were analyzed. Potato plants were treated with NaCl and PEG to induce salinity and osmotic stress responses. qRT-PCR was carried out to characterize the expression pattern of StGATA family genes in potato plants subjected to salinity and osmotic stress. StGATA12 loss-of-function and gain-of-function plants were established. Morphological phenotypes and growth were indicated. Photosynthetic gas exchange was suggested by the net photosynthetic rate, transpiration rate, and stomatal conductance. Physiological indicators and the corresponding genes were indicated by enzyme activity and mRNA expression of genes encoding CAT, SOD, POD, and P5CS, and contents of H2O2, MDA, and proline. The expression patterns of StGATA family genes were altered in response to salinity and osmotic stress. StGATA12 protein is located in the nucleus. StGATA12 is involved in the regulation of potato plant growth in response to salinity and osmotic stress. Overexpression of StGATA12 promoted photosynthesis, transpiration, and stomatal conductance under salinity and osmotic stress. StGATA12 overexpression induced biochemical responses of potato plants to salinity and osmotic stress by regulating the levels of H2O2, MDA, and proline and the activity of CAT, SOD, and POD. StGATA12 overexpression induced the up-regulation of StCAT, StSOD, StPOD, and StP5CS against salinity and osmotic stress. StGATA12 could reinforce the ability of potato plants to resist salinity and osmosis-induced damages, which may provide an effective strategy to engineer potato plants for better adaptability to adverse salinity and osmotic conditions. Full article
(This article belongs to the Special Issue Advances in Plant Genomics and Genetics: 2nd Edition)
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Figure 1
<p>Study design flowchart.</p>
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<p>Heatmap presenting mRNA expression of <span class="html-italic">StGATA</span> family genes in different potato plant organs and in leaves responding to NaCl-induced salt stress and PEG-induced osmotic stress. (<b>A</b>) mRNA expression of <span class="html-italic">StGATA</span> genes in potato roots, tubers, leaves, petioles, stems, and flowers; different letters indicate significant difference (<span class="html-italic">p</span> &lt; 0.05, by one-way ANOVA with Tukey test or Dunnett’s T3 for post hoc analysis) among root, tuber, leaf, petiole, stem, and flower. mRNA expression profiles of <span class="html-italic">StGATA</span> genes under (<b>B</b>,<b>C</b>) salt stress and (<b>D</b>,<b>E</b>) osmotic stress; different letters indicate significant difference (<span class="html-italic">n</span> = 9, <span class="html-italic">p</span> &lt; 0.05, by one-way ANOVA with Tukey test or Dunnett’s T3 for post hoc analysis) among leaf samples; four-week-old normally grown plants were subjected to 0 h, 1 h, 3 h, 6 h, 12 h, and 24 h of cultivation with NaCl (75 mM and 150 mM) or PEG6000 (10% and 20%).</p>
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<p>Subcellular localization of GATA12 and mRNA expression of <span class="html-italic">GATA12</span> gene in the transgenic plants. (<b>A</b>) StGATA12 protein located on the cellular nucleus of tobacco epidermal cells; GFP-StGATA12 fusion protein was transiently expressed in tobacco leaves and observed using a laser scanning confocal microscope; Scale bar = 50 μm. (<b>B</b>,<b>C</b>) The relative quantification of <span class="html-italic">StGATA12</span> mRNA in pBI121-EGFP-StGATA12-transgenic lines and pART-StGATA12-RNAi-transgenic lines; Data are the means ± standard deviation. *** <span class="html-italic">p</span> &lt; 0.001 (OE or Ri compared to NC, two-way ANOVA corrected by Sidak’s multiple comparisons test).</p>
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<p>Phenotypical and growth alterations of non-transgenic and transgenic lines in response to NaCl-induced salt stress and PEG-induced osmotic stress. (<b>A</b>) Representative phenotypes of NT and transgenic plants; bar = 2 cm. Morphological changes ((<b>B</b>), plant height; (<b>C</b>), fresh plant weight; (<b>D</b>), dry plant weight; (<b>E</b>), fresh root weight; (<b>F</b>), dry root weight) of potato plants were imaged 2 days after cultivation with NaCl (75 mM and 150 mM) or PEG6000 (10% and 20%). NT, non-transgenic plants; OE, pBI121-EGFP-StGATA12-transgenic lines; Ri, pART-StGATA12-RNAi-transgenic lines. Mean ± standard deviation (<span class="html-italic">n</span> = 9). Ordinary two-way ANOVA with Tukey’s multiple comparisons test, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Physiological indexes of non-transgenic and transgenic plants in response to NaCl-induced salt stress and PEG-induced osmotic stress. (<b>A</b>,<b>B</b>) H<sub>2</sub>O<sub>2</sub> content, (<b>C</b>,<b>D</b>) MDA content, (<b>E</b>,<b>F</b>) proline content, (<b>G</b>,<b>H</b>) CAT activity, (<b>I</b>,<b>J</b>) SOD activity, and (<b>K</b>,<b>L</b>) POD activity were examined 24 h after cultivation with NaCl (75 mM and 150 mM) or PEG6000 (10% and 20%) treatment. NT, non-transgenic plants; OE, pBI121-EGFP-StGATA12-transgenic lines; Ri, pART-StGATA12-RNAi-transgenic lines. Mean ± standard deviation (<span class="html-italic">n</span> = 9). Ordinary two-way ANOVA with Tukey’s multiple comparisons test, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Photosynthesis of non-transgenic and transgenic plants in response to NaCl-induced salt stress and PEG-induced osmotic stress. (<b>A</b>,<b>B</b>) Net photosynthesis rate, (<b>C</b>,<b>D</b>) transpiration rate, and (<b>E</b>,<b>F</b>) stomatal conductance were examined 24 h after cultivation with NaCl (75 mM and 150 mM) or PEG6000 (10% and 20%). NT, non-transgenic plants; OE, pBI121-EGFP-StGATA12-transgenic lines; Ri, pART-StGATA12-RNAi-transgenic lines. Mean ± standard deviation (<span class="html-italic">n</span> = 9). Ordinary two-way ANOVA with Tukey’s multiple comparisons test, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Chlorophyll content and ion leakage of non-transgenic and transgenic plants in response to NaCl-induced salt stress and PEG-induced osmotic stress. Chlorophyll content (<b>A</b>,<b>B</b>) and ion leakage (<b>C</b>,<b>D</b>) were analyzed 24 h after cultivation with NaCl (75 mM and 150 mM) or PEG6000 (10% and 20%). NT, non-transgenic plants; OE, pBI121-EGFP-StGATA12-transgenic lines; Ri, pART-StGATA12-RNAi-transgenic lines. Mean ± standard deviation (<span class="html-italic">n</span> = 9). Ordinary two-way ANOVA with Tukey’s multiple comparisons test, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>mRNA expression of stress-responsive genes in non-transgenic and transgenic plants in response to NaCl-induced salt stress and PEG-induced osmotic stress. (<b>A</b>) <span class="html-italic">StSOD</span> mRNA, (<b>B</b>) <span class="html-italic">StCAT</span> mRNA, (<b>C</b>) <span class="html-italic">StPOD</span> mRNA, and (<b>D</b>) <span class="html-italic">StP5CS</span> mRNA in the leaves were assayed 24 h after cultivation with NaCl (75 mM and 150 mM) or PEG6000 (10% and 20%). NT, non-transgenic plants; OE, pBI121-EGFP-StGATA12-transgenic lines; Ri, pART-StGATA12-RNAi-transgenic lines. Mean ± standard deviation (<span class="html-italic">n</span> = 9). Ordinary two-way ANOVA with Tukey’s multiple comparisons test, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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18 pages, 1446 KiB  
Review
Fermentation for Revalorisation of Fruit and Vegetable By-Products: A Sustainable Approach Towards Minimising Food Loss and Waste
by José Ángel Salas-Millán and Encarna Aguayo
Foods 2024, 13(22), 3680; https://doi.org/10.3390/foods13223680 - 19 Nov 2024
Viewed by 88
Abstract
In a world increasingly focused on sustainability and integrated resource use, the revalorisation of horticultural by-products is emerging as a key strategy to minimise food loss and waste while maximising value within the food supply chain. Fermentation, one of the earliest and most [...] Read more.
In a world increasingly focused on sustainability and integrated resource use, the revalorisation of horticultural by-products is emerging as a key strategy to minimise food loss and waste while maximising value within the food supply chain. Fermentation, one of the earliest and most versatile food processing techniques, utilises microorganisms or enzymes to induce desirable biochemical transformations that enhance the nutritional value, digestibility, safety, and sensory properties of food products. This process has been identified as a promising method for producing novel, high-value food products from discarded or non-aesthetic fruits and vegetables that fail to meet commercial standards due to aesthetic factors such as size or appearance. Besides waste reduction, fermentation enables the production of functional beverages and foods enriched with probiotics, antioxidants, and other bioactive compounds, depending on the specific horticultural matrix and the types of microorganisms employed. This review explores the current bioprocesses used or under investigation, such as alcoholic, lactic, and acetic acid fermentation, for the revalorisation of fruit and vegetable by-products, with particular emphasis on how fermentation can transform these by-products into valuable foods and ingredients for human consumption, contributing to a more sustainable and circular food system. Full article
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<p>Food loss and food waste designation of food residues and their impact on the food supply chain [<a href="#B1-foods-13-03680" class="html-bibr">1</a>].</p>
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<p>Non-marketable by-products from crops and industrial food production.</p>
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<p>Transformation of fruit and vegetable by-products through fermentation with diverse microbial communities enhances resource efficiency—optimising electricity, land, and water use—and generates new market opportunities for companies by creating valuable fermented products.</p>
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13 pages, 1317 KiB  
Article
Light Intensity Effects on Productivity and Post-Harvest Quality in Perilla frutescens Cultivated in CEA
by Akvilė Viršilė, Ieva Gudžinskaitė, Kristina Laužikė, Gediminas Kudirka, Audrius Pukalskas and Giedrė Samuolienė
Agriculture 2024, 14(11), 2079; https://doi.org/10.3390/agriculture14112079 - 19 Nov 2024
Viewed by 135
Abstract
Leafy vegetables, mainly lettuces, are currently the main crop cultivated in controlled environment agriculture (CEA), including vertical farming and plant factories. There is a rising demand to expand this portfolio with a wider variety of underutilized edible plants containing various bioactive compounds and [...] Read more.
Leafy vegetables, mainly lettuces, are currently the main crop cultivated in controlled environment agriculture (CEA), including vertical farming and plant factories. There is a rising demand to expand this portfolio with a wider variety of underutilized edible plants containing various bioactive compounds and sensory properties seeking to enrich human diets. However, the optimal cultivation conditions for these underutilized plants significantly differ from those optimized for lettuce, basil, and other popular CEA crops. Therefore, this study aims to explore the impacts of light-emitting diode (LED) lighting intensity (photosynthetic photon flux density, PPFD) on green leaf Perilla frutescens cultivated in CEA. Plants were grown under four levels of LED lighting PPFDs from 150 to 300 µmol m−2s−1 for 4 weeks. Plant biomass productivity, soluble sugar contents, antioxidant properties (DPPH, ABTS free radical scavenging activities, FRAP antioxidant power), and total contents of phenolic compounds in leaves were evaluated at harvesting time. Further, harvested plant material was stored in the dark, at +6 °C, and the water content, water loss and transpiration rate, leaf sugar contents, and antioxidant properties were monitored 1, 3, and 5 days after harvesting. The summarized data suggest that higher cultivation lighting PPFD results in better harvest quality preservation during post-harvest storage. Full article
(This article belongs to the Special Issue Impact of Light on Horticultural Crops—2nd Edition)
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Graphical abstract

Graphical abstract
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<p>Experimental lighting PPFD (photosynthetic photon flux density) treatments. DLI is the daily light integral. Numbers next to the arrows indicate the percentage of PPFD difference between adjacent treatments.</p>
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<p>Biometric parameters of <span class="html-italic">Perilla frutescens</span>, cultivated under different lighting intensities (<math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mi>x</mi> </mrow> <mo>¯</mo> </mover> <mo>±</mo> <mi>S</mi> <mi>D</mi> <mo>,</mo> <mo> </mo> <mi>n</mi> <mo>=</mo> <mn>9</mn> <mo>)</mo> </mrow> </semantics></math>: (<b>a</b>) plant height (PH) and leaf area (LA); (<b>b</b>) fresh weight (FW), dry weight (DW), and light use efficiency (LUE); (<b>c</b>) shoot-to-root dry weight ratio and ΔFW/ΔPPFD index, indicating the shift in plant fresh weight due to the increased percentage of lighting PPFD between adjacent treatments. Different letters indicate statistically significant differences between means of light intensity treatments according to one-way ANOVA Tukey’s test when <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Lighting intensity effects on soluble sugar contents (<math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mi>x</mi> </mrow> <mo>¯</mo> </mover> <mo>±</mo> <mi>S</mi> <mi>D</mi> <mo>,</mo> <mo> </mo> <mi>n</mi> <mo>=</mo> <mn>9</mn> <mo>)</mo> </mrow> </semantics></math> in <span class="html-italic">Perilla frutescens</span> leaves at harvest (0 days) and during 1–5 days of storage: (<b>a</b>) fructose, (<b>b</b>) glucose, (<b>c</b>) sucrose. Different lowercase letters indicate statistically significant differences between different storage durations within each PPFD treatment separately, while different capital letters below the graph indicate differences between different PPFD treatments at the same day post-harvest storage; both according to one-way ANOVA Tukey’s when <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Lighting intensity effects on antioxidant properties (<math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mi>x</mi> </mrow> <mo>¯</mo> </mover> <mo>±</mo> <mi>S</mi> <mi>D</mi> <mo>,</mo> <mo> </mo> <mi>n</mi> <mo>=</mo> <mn>9</mn> <mo>)</mo> </mrow> </semantics></math> of <span class="html-italic">Perilla frutescens</span> leaves at harvest (0 days) and during 1–5 days of storage: (<b>a</b>) Ferric reducing antioxidant power (FRAP), (<b>b</b>) 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) free radical scavenging activity, (<b>c</b>) 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity, (<b>d</b>) total contents of phenolic compounds (TPC). Different lowercase letters refer to statistically significant differences between different storage durations within each PPFD treatment separately, while different capital letters below the graph specify differences between different PPFD treatments on the same day of post-harvest storage; both according to one-way ANOVA Tukey’s test, <span class="html-italic">p</span> ≤ 0.05. TE—Trolox equivalent; DW—dry weight.</p>
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<p>The scatter plot (<b>a</b>) (n = 3 experimental repetitions) and square cosines (<b>b</b>) of principal component analysis (PCA), indicating differences between <span class="html-italic">Perilla frutescens,</span> cultivated under 150–300 µmol m<sup>−2</sup>s<sup>−1</sup> lighting PPFDs, growth and biochemical parameters at harvest (150-0, …, 300-0) and after one (150-1, …, 300-1), three (150-3, …, 300-3) and five (150-5, …, 300-5) days of storage. Values in bold correspond for each variable to the factor for which the squared cosine is the largest. FW—fresh weight; DW—dry weight; WC—water content; Fru—fructose; Glu—glucose; Suc—sucrose; TPC—total phenolic compounds; ChlA—chlorophyll A; and ChlB—chlorophyll B.</p>
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1 pages, 161 KiB  
Correction
Correction: Alvarado et al. Alginate–Bentonite Encapsulation of Extremophillic Bacterial Consortia Enhances Chenopodium quinoa Tolerance to Metal Stress. Microorganisms 2024, 12, 2066
by Roxana Alvarado, Cesar Arriagada-Escamilla, Javier Ortiz, Reinaldo Campos-Vargas and Pablo Cornejo
Microorganisms 2024, 12(11), 2356; https://doi.org/10.3390/microorganisms12112356 - 19 Nov 2024
Viewed by 99
Abstract
In the original publication [...] Full article
(This article belongs to the Special Issue Rhizosphere Bacteria and Fungi That Promote Plant Growth)
15 pages, 3988 KiB  
Article
A New Strategy for Enhancing Postharvest Quality of Sweet Cherry: High-Voltage Electrostatic Field Improves the Physicochemical Properties and Fungal Community
by Yanlong Liu, Lulu Zhang, Tan Hu, Qiongyin Liu, Shuya Zhou, Yi Zhao, Abdul-Nabi Jatt, Caili Zhang and Hansheng Gong
Foods 2024, 13(22), 3670; https://doi.org/10.3390/foods13223670 - 18 Nov 2024
Viewed by 309
Abstract
Sweet cherry has a short shelf life due to the occurrence of senescence and fungal infection after harvest. This study aimed to study the effects of high-voltage electrostatic field (HVEF) on the physicochemical properties and fungal composition of sweet cherry during cold storage. [...] Read more.
Sweet cherry has a short shelf life due to the occurrence of senescence and fungal infection after harvest. This study aimed to study the effects of high-voltage electrostatic field (HVEF) on the physicochemical properties and fungal composition of sweet cherry during cold storage. The experiments were conducted at 4 °C for 28 days and the quality indicators were determined every 7 days during the period of storage. The fungal composition on sweet cherry was determined using high-throughput sequencing. The results showed that HVEF could better maintain the total soluble solids and inhibit the respiration of cherries. The decay incidence in sweet cherries was decreased by HVEF during cold storage. High-throughput sequencing revealed that HVEF could alter the fungal community and increase the fungal diversity on sweet cherries. Compared with the control group, HVEF decreased the abundance of Alternaria and Cladosporium on sweet cherries, while Aureobasidium, as a nonpathogenic fungus, increased and became the dominant strain at the end of the storage period. In summary, HVEF can improve the physicochemical properties of sweet cherry by inhibiting respiration and can reduce decay incidence by inhibiting specific pathogenic fungi. HVEF is expected to become an efficient and promising technology for the preservation of fruit. Full article
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Figure 1
<p>Effect of HVEF on physicochemical properties of sweet cherry. The TSS (<b>A</b>), TA (<b>B</b>), respiration rate (<b>C</b>), L* value (<b>D</b>), and a* value (<b>E</b>) of sweet cherry; * represents significant difference at <span class="html-italic">p</span> &lt; 0.05 (<span class="html-italic">n</span> = 3).</p>
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<p>Effect of HVEF on decay incidence (<b>A</b>) and yeast and mold count (<b>B</b>) of sweet cherry; * and ** represent significant difference at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively (<span class="html-italic">n</span> = 3).</p>
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<p>The phylogenetic tree of fungi on sweet cherry at genus level; 14 and 28 represent the days of storage, and IS represents incertae sedis.</p>
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<p>Effect of HVEF on fungal alpha diversity of sweet cherry. (<b>A</b>) Rarefaction curves; (<b>B</b>) rank abundance curves; (<b>C</b>) alpha diversity indexes; 14 and 28 represent the days of storage. The diversity indexes were analyzed by Kruskal–Wallis test; * represents significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Fungal community composition on sweet cherry. (<b>A</b>) Fungal abundance at phylum level; (<b>B</b>) fungal abundance at genus level. Note: 14 and 28 represent the days of storage.</p>
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<p>Relative abundance of fungal function (FUNGuild) annotation; 14 and 28 represent the days of storage.</p>
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<p>Correlation analysis of the quality parameters of sweet cherry; * and ** represent difference at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively.</p>
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18 pages, 4316 KiB  
Article
Macadamia (Macadamia integrifolia) Oil Prevents High-Fat Diet-Induced Lipid Accumulation and Oxidative Stress by Activating the AMPK/Nrf2 Pathway
by Ming Zhang, Yuhan Zhang, Lingdong Li, Changbin Wei, Taotao Dai, Ya Li, Xixiang Shuai and Liqing Du
Foods 2024, 13(22), 3672; https://doi.org/10.3390/foods13223672 - 18 Nov 2024
Viewed by 408
Abstract
Hyperlipidemia, characterized by an abnormal lipid metabolism, is related to multiple cardiovascular diseases that pose challenges to global public health. Macadamia oil (MO), rich in monounsaturated fatty acids (around 80%), is regarded as a functional oil used to regulate lipid accumulation. Nonetheless, the [...] Read more.
Hyperlipidemia, characterized by an abnormal lipid metabolism, is related to multiple cardiovascular diseases that pose challenges to global public health. Macadamia oil (MO), rich in monounsaturated fatty acids (around 80%), is regarded as a functional oil used to regulate lipid accumulation. Nonetheless, the lipid-lowering mechanism of MO is still unknown. Therefore, the lipid-lowering effects of MO in high-fat diet (HFD)-induced hyperlipidemic mice were evaluated in this study. The results revealed that MO could effectively reduce body weight and the organ index and improve serum lipid levels by reducing total cholesterol, triglycerides, and low-density lipoprotein cholesterol levels and elevating high-density lipoprotein cholesterol levels. Additionally, MO supplementation could improve abnormal liver function caused by hyperlipemia, characterized by decreased liver enzyme levels, including alanine aminotransferase and aspartate aminotransferase. Meanwhile, MO also exhibited an inhibitory effect on oxidative stress and lipid accumulation caused by an HFD. Moreover, findings from qRT-PCR and Western blotting analyses suggest that MO supplementation markedly prevented hyperlipidemia by inhibiting the expression of AMPK pathway-related genes, SREBP-1c, FAS, ACC, and PPAR-γ, as well as upregulating the levels of Nrf2, HO-1, and γ-GCS. These results indicate that MO attenuates lipid accumulation in vivo via AMPK/Nrf2 pathway activation, suggesting that MO could serve as a dietary supplementation or medication for treating hyperlipidemia. Full article
(This article belongs to the Special Issue Functional Lipids and Nutrition)
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<p>The diagram of the timeline for the design of the animal experiments.</p>
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<p>Body weight and organ index changes in hyperlipidemic mice after 30 days of macadamia oil intervention. (<b>A</b>) Body weight. (<b>B</b>) Organ index. * indicates <span class="html-italic">p</span> &lt; 0.05 versus the Model.</p>
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<p>Serum lipids and serum liver enzymes changes in hyperlipidemic mice after 30 days of macadamia oil intervention. (<b>A</b>–<b>D</b>) Serum TC, TG, LDL-C, and HDL-C levels; (<b>E</b>,<b>F</b>) serum ALT and AST levels. ns denotes no significant differences between different letters at <span class="html-italic">p</span> &lt; 0.05. *, **, and *** indicate <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.01, and <span class="html-italic">p</span> &lt; 0.001 versus the Model, respectively. #, ##, and ### denote significant differences between different letters at <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.01, and <span class="html-italic">p</span> &lt; 0.001, respectively.</p>
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<p>Reactive oxygen species changes in liver tissue after 30 days of macadamia oil intervention. ns denotes no significant differences between different letters at <span class="html-italic">p</span> &lt; 0.05. *, **, and *** indicate <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.01, and <span class="html-italic">p</span> &lt; 0.001 versus the Model, respectively. # denotes <span class="html-italic">p</span> &lt; 0.05 versus the LDG.</p>
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<p>Oxidative stress indicator changes in the serum and liver after 30 days of macadamia oil intervention. (<b>A1</b>–<b>D1</b>) and (<b>A2</b>–<b>D2</b>) show the GSH-Px, SOD, T-AOC, and MDA levels in the serum and liver, respectively. ns denotes no significant differences between different letters at <span class="html-italic">p</span> &lt; 0.05. *, **, and *** indicate <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.01, and <span class="html-italic">p</span> &lt; 0.001 versus the Model, respectively. # and ## denote significant differences between different letters at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively.</p>
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<p>The effects of macadamia oil treatment on the histology and morphology of the livers of hyperlipidemic mice. (<b>A1</b>–<b>F1</b>) The morphologies of the livers of the Control, Model, SIM, LDG, MDG, and HDG after 30 days of intervention, respectively; (<b>A2</b>–<b>F2</b>) the photomicrographs of the hepatic tissues of the Control, Model, SIM, LDG, MDG, and HDG after Oil Red O staining (100×), respectively.</p>
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<p>The effects of macadamia oil treatment on the histology and morphology of adipose tissues of hyperlipidemic mice. (<b>A1</b>–<b>F1</b>) The photomicrographs of the adipose tissues of the Control, Model, SIM, LDG, MDG, and HDG after HE staining (100×); (<b>A2</b>–<b>F2</b>) the morphologies of the adipose tissues of the Control, Model, SIM, LDG, MDG, and HDG after 30 days of intervention, respectively.</p>
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<p>Changes in the expression levels of AMPK/Nrf2 pathway-related mRNA in the liver after 30 days of macadamia oil intervention. (<b>A</b>–<b>G</b>) represent SREBP-1c, FAS, PPAR-γ, ACC, HO-1, Nrf2, and γ-GCS, respectively. ns denotes no significant differences between different letters at <span class="html-italic">p</span> &lt; 0.05. *, **, and *** indicate <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.01, and <span class="html-italic">p</span> &lt; 0.001 versus the Model, respectively. # and ## denote significant differences between different letters at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively.</p>
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<p>Changes in the expression levels of AMPK/Nrf2 pathway-related proteins in the liver after 30 days of macadamia oil intervention. (<b>A</b>–<b>H</b>) represent p-AMPK, SREBP-1c, FAS, PPAR-γ, ACC, HO-1, Nrf2, and γ-GCS, respectively. ns denotes no significant differences between different letters at <span class="html-italic">p</span> &lt; 0.05. *, **, and *** indicate <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.01, and <span class="html-italic">p</span> &lt; 0.001 versus the Model, respectively. #, ##, and ### denote significant differences between different letters at <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.01, and <span class="html-italic">p</span> &lt; 0.001, respectively.</p>
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<p>Schematic and potential mechanism for macadamia oil to relieve lipid accumulation.</p>
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16 pages, 6754 KiB  
Article
The Synergistic Impact of a Novel Plant Growth-Promoting Rhizobacterial Consortium and Ascophyllum nodosum Seaweed Extract on Rhizosphere Microbiome Dynamics and Growth Enhancement in Oryza sativa L. RD79
by Pisit Thamvithayakorn, Cherdchai Phosri, Louisa Robinson-Boyer, Puenisara Limnonthakul, John H. Doonan and Nuttika Suwannasai
Agronomy 2024, 14(11), 2698; https://doi.org/10.3390/agronomy14112698 - 15 Nov 2024
Viewed by 329
Abstract
This study investigated the combined effects of novel plant growth-promoting rhizobacteria (PGPR)—Agrobacterium pusense NC2, Kosakonia oryzae WN104, and Phytobacter sp. WL65—and Ascophyllum nodosum seaweed extract (ANE) as biostimulants (PGPR-ANE) on rice growth, yield, and rhizosphere bacterial communities using the RD79 cultivar. The [...] Read more.
This study investigated the combined effects of novel plant growth-promoting rhizobacteria (PGPR)—Agrobacterium pusense NC2, Kosakonia oryzae WN104, and Phytobacter sp. WL65—and Ascophyllum nodosum seaweed extract (ANE) as biostimulants (PGPR-ANE) on rice growth, yield, and rhizosphere bacterial communities using the RD79 cultivar. The biostimulants significantly enhanced plant growth, shoot and root length, and seedling vigour; however, seed germination was not affected. In pot experiments, biostimulant application significantly increased the richness and evenness of bacterial communities in the rhizosphere, resulting in improvements in rice growth and yield, with increases in plant height (9.6–17.7%), panicle length (14.3–17.9%), and seeds per panicle (48.0–53.0%). Notably, biostimulant treatments also increased post-harvest soil nutrient levels, with nitrogen increasing by 7.7–19.2%, phosphorus by 43.4–161.4%, and potassium by 16.9–70.4% compared to the control. Principal coordinate analysis revealed distinct differences in bacterial composition between the tillering and harvesting stages, as well as between biostimulant treatments and the control. Beneficial bacterial families, including Xanthobacteraceae, Beijerinckiaceae, Acetobacteraceae, Acidobacteriaceae, and Hyphomicrobiaceae, increased in number from the tillering to harvesting stages, likely contributing to soil health improvements. Conversely, methanogenic bacterial families, such as Methanobacteriaceae and Methanosarcinaceae, decreased in number compared to the control. These findings highlight the dynamic responses of the rhizosphere microbiome to biostimulant treatments and underscore their potential benefits for promoting sustainable and productive agriculture. Full article
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<p>Alpha-diversity analyses of three biostimulant treatments, ANE, PGPR, and PGPR-ANE, along with control, during both tillering (S1) and harvesting (S2) stages using Chao1 (<b>A</b>,<b>B</b>) and Shannon (<b>C</b>,<b>D</b>) indices. (<b>A</b>,<b>C</b>) Analysis of each stage and treatment separately. (<b>B</b>,<b>D</b>) Combined analysis of both stages within each treatment.</p>
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<p>The relative abundances of PGPR-associated and methanogenic bacterial families in rhizosphere soils compared across the three biostimulant treatments, ANE, PGPR, and PGPR-ANE, as well as the control (UI), during both the tillering (S1) and harvesting (S2) stages.</p>
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<p>Comparative microbial community in rice rhizosphere soil across growth stages and treatments. (<b>A</b>) PCoA of microbial communities at tillering and harvesting stages. (<b>B</b>) PCoA of microbial communities by treatment at tillering stage (S1) and harvesting stage (S2). (<b>C</b>,<b>D</b>) LEfSe analysis highlighting differential abundances of taxa across treatments at tillering (S1) and harvesting (S2) stages. (<b>E</b>,<b>F</b>) Venn diagram of shared and unique families at tillering (S1) and harvesting (S2) stages across treatments.</p>
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17 pages, 538 KiB  
Article
Dynamics of Amaranthus in Urban and Rural Value Chains in Communities of KwaZulu-Natal Province, South Africa
by Ruth N. Olusanya, Unathi Kolanisi, Nomali Z. Ngobese and Chinsamy Mayashree
Resources 2024, 13(11), 161; https://doi.org/10.3390/resources13110161 - 15 Nov 2024
Viewed by 390
Abstract
Sub-Saharan Africa falls among the developing countries with poor standards of living contributing to the high prevalence of malnutrition. Interventions have been conducted, but malnutrition continues to linger, with devastating impacts on vulnerable groups. In Africa, 90% of its children cannot access the [...] Read more.
Sub-Saharan Africa falls among the developing countries with poor standards of living contributing to the high prevalence of malnutrition. Interventions have been conducted, but malnutrition continues to linger, with devastating impacts on vulnerable groups. In Africa, 90% of its children cannot access the minimum balanced diet. Also, 60% of the people in this region do not access daily meals for dietary needs. Traditional vegetables like Amaranthus are identified to have great potential to combat malnutrition; however, Amaranthus is underutilized due to limited awareness of its potential and poor post-harvest practices along the value chain. This study evaluates the dynamics of Amaranthus along its value chain in the urban and rural communities of KwaZulu-Natal. South Africa. Mixed-design research and a purposive convenient random sampling approach were explored. Semi-structured questionnaires were used to collect data for the survey, and this was strengthened by a series of five n = (30) face-to-face interviews with six key informants from urban and rural formal and informal markets. The findings revealed that eleven species of Amaranthus have been identified in South Africa such as Amaranthus spinosus varieties, including A. dubius, and A. cruentus, which are the most sold and consumed, mostly being sold by street vendors. Thus, poor perception and attitudes along with limited access to Amaranthus in some upper-class markets contribute to underutilization. Promoting Amaranthus at all levels of markets might create better awareness of its utilization. Full article
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<p>Simple flow chart diagram for the value chain of <span class="html-italic">Amaranthus</span>.</p>
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22 pages, 9617 KiB  
Article
The Role of Aspergillus niger in Regulating Internal Browning Involves Flavonoid Biosynthesis and the Endophytic Fungal Community of Pineapple
by Fei Shen, Guang Wang and Shijiang Zhu
J. Fungi 2024, 10(11), 794; https://doi.org/10.3390/jof10110794 - 15 Nov 2024
Viewed by 352
Abstract
Endophytic fungi are commonly used to control plant diseases, overcoming the drawbacks of chemical agents. The internal browning (IB) of postharvest pineapple fruit, a physiological disease, leads to quality losses and limits industrial development. This work investigated the relationship among the effects of [...] Read more.
Endophytic fungi are commonly used to control plant diseases, overcoming the drawbacks of chemical agents. The internal browning (IB) of postharvest pineapple fruit, a physiological disease, leads to quality losses and limits industrial development. This work investigated the relationship among the effects of Aspergillus niger (An) on IB controlling, flavonoid metabolism and the endophytic fungal community of pineapple through metabolomics, transcriptomics, microbiomics and microorganism mutagenesis technology. We obtained an endophyte An that can control the IB of pineapple and screened its mutant strain AnM, through chemical mutagenesis, that cannot control IB. The transcriptome of fungi showed that An and AnM were different in oxidative metabolism. Transcriptome and metabolome analyses of pineapple showed that An upregulated genes of flavonoid synthesis, including dihydroflavonol 4-reductase and flavonoid 3′-monooxygenase and increased the flavonoid content in pineapple fruit, i.e., Hispidulin, Hispidulin-7-O-Glucoside, and Diosmetin, while AnM could not. Microbiomics analysis identified an increase in the abundance of eight endophytic fungi in An-inoculated fruit, among which the abundance of six endophytic fungi (Filobasidium magnum, Naganishia albida, A. niger, Aureobasidium melanogenum, Kwoniella heveanensis and Lysurus cruciatus) was positively correlated with the content of three flavonoids mentioned above but not in AnM-inoculated fruit. Overall, this suggested, for the first time, that A. niger alleviated IB mainly by enhancing flavonoid synthesis and content and the abundance of endophytic fungi and by regulating the interaction between flavonoid content and endophytic fungi abundance in pineapple. This work adds to the understanding of the IB mechanism in postharvest pineapple and provides a new green approach for reducing postharvest losses and controlling physiological diseases. Full article
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<p>The changes in internal browning (IB) symptoms (<b>A</b>), IB incidence (<b>B</b>) and the flavonoid contents (<b>C</b>) of pineapple fruit following 12 d of storage at ambient temperature. St.0d, before storage; St.12d, storage at 12 days. Values are the means ± SE (<span class="html-italic">n</span> = 3). (<b>B</b>) The different letters are significantly different (<span class="html-italic">p</span> ≤ 0.05). (<b>C</b>) The numbers show Log2fold-change; St.12dvsSt.0d represents pineapple storage at 12 days (St.12d) compared to before storage (St.0d); * show the presence of isomers of the substance.</p>
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<p>The changes in internal browning (IB) symptoms (<b>A</b>), IB incidence (<b>B</b>) and the flavonoid contents (<b>C</b>) of pineapple fruit following 12 d of storage at ambient temperature. St.0d, before storage; St.12d, storage at 12 days. Values are the means ± SE (<span class="html-italic">n</span> = 3). (<b>B</b>) The different letters are significantly different (<span class="html-italic">p</span> ≤ 0.05). (<b>C</b>) The numbers show Log2fold-change; St.12dvsSt.0d represents pineapple storage at 12 days (St.12d) compared to before storage (St.0d); * show the presence of isomers of the substance.</p>
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<p>Analysis of transcriptome data of endophyte <span class="html-italic">A. niger</span> and its mutant strain AnM. (<b>A</b>) Venn diagram of gene expression. (<b>B</b>) Histogram of differential expression gene (DEG) number. (<b>C</b>) Histogram of GO term enrichment of DEGs; <span class="html-italic">n</span>, the number of DEGs; *, significant enrichment GO term; BP (in red font), Biological Proces; CC (in green font), Biological Proces; FM (in blue font), Molecular Function. (<b>D</b>) Histogram of KEGG enrichment of up-regulated DEGs; N<sub>up</sub>, the number of up-regulated DEGs; * and red font, significant enrichment KEGG pathway. (<b>E</b>) Histogram of KEGG enrichment pathway of down-regulated DEGs; N<sub>down</sub>, the number of down-regulated DEGs; * and red font, significant enrichment KEGG pathway. An, endophyte <span class="html-italic">A. niger</span>; AnM, the mutant strain of <span class="html-italic">A. niger</span> marked AnM.</p>
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<p>Analysis of transcriptome data of endophyte <span class="html-italic">A. niger</span> and its mutant strain AnM. (<b>A</b>) Venn diagram of gene expression. (<b>B</b>) Histogram of differential expression gene (DEG) number. (<b>C</b>) Histogram of GO term enrichment of DEGs; <span class="html-italic">n</span>, the number of DEGs; *, significant enrichment GO term; BP (in red font), Biological Proces; CC (in green font), Biological Proces; FM (in blue font), Molecular Function. (<b>D</b>) Histogram of KEGG enrichment of up-regulated DEGs; N<sub>up</sub>, the number of up-regulated DEGs; * and red font, significant enrichment KEGG pathway. (<b>E</b>) Histogram of KEGG enrichment pathway of down-regulated DEGs; N<sub>down</sub>, the number of down-regulated DEGs; * and red font, significant enrichment KEGG pathway. An, endophyte <span class="html-italic">A. niger</span>; AnM, the mutant strain of <span class="html-italic">A. niger</span> marked AnM.</p>
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<p>The changes in IB and flavonoid content of pineapple responsible for <span class="html-italic">A. niger</span>- and AnM-inoculated following 12 d of storage at ambient temperature. (<b>A</b>) IB symptom. (<b>B</b>) IB incidence; the different letters are significantly different (<span class="html-italic">p</span> ≤ 0.05). (<b>C</b>) The content of flavonoids in pineapple. CK.12d, the control fruit following 12 d of storage; An.12d, <span class="html-italic">A. niger</span>-inoculated fruit following 12 d of storage; AnM.12d, the mutant strain AnM-inoculated fruit following 12 d of storage; * show the presence of isomers of the substance.</p>
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<p>The changes in IB and flavonoid content of pineapple responsible for <span class="html-italic">A. niger</span>- and AnM-inoculated following 12 d of storage at ambient temperature. (<b>A</b>) IB symptom. (<b>B</b>) IB incidence; the different letters are significantly different (<span class="html-italic">p</span> ≤ 0.05). (<b>C</b>) The content of flavonoids in pineapple. CK.12d, the control fruit following 12 d of storage; An.12d, <span class="html-italic">A. niger</span>-inoculated fruit following 12 d of storage; AnM.12d, the mutant strain AnM-inoculated fruit following 12 d of storage; * show the presence of isomers of the substance.</p>
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<p>Effects of <span class="html-italic">A. niger</span> and AnM on profiles of transcriptome and flavonoids in pineapple pulp following 12 d of storage at ambient temperature. (<b>A</b>) Reconstruction of the flavonoid biosynthesis pathway with the DEGs. (<b>B</b>) Differential expression of genes in flavonoid biosynthesis pathway of pineapple responsible for <span class="html-italic">A. niger</span> and AnM (date of transcriptome). DEGs, differentially expressed genes. FC, fold-change. CK.12d, the control fruit following 12 d of storage; An.12d, <span class="html-italic">A. niger</span>-inoculated fruit following 12 d of storage; AnM.12d, the mutant strain AnM-inoculated fruit following 12 d of storage. CHI, chalcone isomerase; F3H, flavanone 3-hydroxylase; F3′H, flavonoid 3′-monooxygenase; DFR, dihydroflavonol 4-reductase; ANS, anthocyanin synthase; FLS, flavonol synthase; ANR, anthocyanidin reductase. The charts in green and red of Figure A indicate the down- and up-regulated genes or flavonoids, respectively. The red and blue fonts indicate DEGs that are significantly up-regulated and down-regulated in the flavonoid biosynthesis pathway for An.12d vs CK.12d and An.12d vs AnM.12d. The blue fonts indicate the DEMs (differentially metabolites) in flavonoid biosynthesis pathway for An.12d vs CK.12d and An.12d vs AnM.12d.</p>
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<p>The changes in endophytic fungal communities of pineapple fruit responsible for <span class="html-italic">A. niger</span>- and AnM-inoculated following 12 d of storage at ambient temperature (date from ITS rRNA amplicon sequencing). (<b>A</b>) The Venn diagram of endophyte fungi in pineapple based on OTU. (<b>B</b>) The <span class="html-italic">beta</span> diversity of endophytic fungi in pineapple based on the weighted unifrac analysis (* represents <span class="html-italic">p</span> &lt; 0.05; *** represents <span class="html-italic">p</span> ≤ 0.001). (<b>C</b>) The relative abundance of the top 35 endophytic fungi at the species level in pineapple. CK.12d, the control fruit following 12 d of storage; An.12d, <span class="html-italic">A. niger</span>-inoculated fruit following 12 d of storage; AnM.12d, the mutant strain AnM-inoculated fruit following 12 d of storage.</p>
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<p>The changes in endophytic fungal communities of pineapple fruit responsible for <span class="html-italic">A. niger</span>- and AnM-inoculated following 12 d of storage at ambient temperature (date from ITS rRNA amplicon sequencing). (<b>A</b>) The Venn diagram of endophyte fungi in pineapple based on OTU. (<b>B</b>) The <span class="html-italic">beta</span> diversity of endophytic fungi in pineapple based on the weighted unifrac analysis (* represents <span class="html-italic">p</span> &lt; 0.05; *** represents <span class="html-italic">p</span> ≤ 0.001). (<b>C</b>) The relative abundance of the top 35 endophytic fungi at the species level in pineapple. CK.12d, the control fruit following 12 d of storage; An.12d, <span class="html-italic">A. niger</span>-inoculated fruit following 12 d of storage; AnM.12d, the mutant strain AnM-inoculated fruit following 12 d of storage.</p>
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<p>Association map of the two-tiered analyses integrating endophytic fungi and flavonoids in pineapple pulp responsible for <span class="html-italic">A. niger</span>- and AnM-inoculated following 12 d of storage at ambient temperature. (<b>A</b>) An.12dvsCK.12d. (<b>B</b>) An.12dvsAnM.12d. (<b>C</b>) AnM.12dvsCK.12d. mws0048, Vitexin (Apigenin-8-C-Glucoside); pmp000001, Hispidulin; Hmgp002189, Hispidulin-7-O-Glucoside; pmp000001, Hispidulin (5,7,4′-Trihydroxy-6-methoxyflavone)*; mws0058, Diosmetin (5,7,3′-Trihydroxy-4′-methoxyflavone)*. The intensity of the colors indicates the degree of association (red, significant positive correlation; green, significant negative correlation). <span class="html-italic">p</span>-value &lt; 0.05 of test of correlation coefficient is a significant difference; *, <span class="html-italic">p</span> &lt; 0.01; **, <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Association map of the two-tiered analyses integrating endophytic fungi and flavonoids in pineapple pulp responsible for <span class="html-italic">A. niger</span>- and AnM-inoculated following 12 d of storage at ambient temperature. (<b>A</b>) An.12dvsCK.12d. (<b>B</b>) An.12dvsAnM.12d. (<b>C</b>) AnM.12dvsCK.12d. mws0048, Vitexin (Apigenin-8-C-Glucoside); pmp000001, Hispidulin; Hmgp002189, Hispidulin-7-O-Glucoside; pmp000001, Hispidulin (5,7,4′-Trihydroxy-6-methoxyflavone)*; mws0058, Diosmetin (5,7,3′-Trihydroxy-4′-methoxyflavone)*. The intensity of the colors indicates the degree of association (red, significant positive correlation; green, significant negative correlation). <span class="html-italic">p</span>-value &lt; 0.05 of test of correlation coefficient is a significant difference; *, <span class="html-italic">p</span> &lt; 0.01; **, <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Simplified hypothetical model for the mechanism of pineapple internal browning suppression regulated by <span class="html-italic">A. niger</span>. The black arrow ‘<span class="html-fig-inline" id="jof-10-00794-i001"><img alt="Jof 10 00794 i001" src="/jof/jof-10-00794/article_deploy/html/images/jof-10-00794-i001.png"/></span>’ represents trends in regulation, the red arrow ‘→’ represents trends within an increase or up-regulation, the red mark ‘⇌’ represents trends within positive-regulation and the green mark ‘┤’ represents the trend within suppression.</p>
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17 pages, 2380 KiB  
Article
Nondestructive Detection of Litchi Stem Borers Using Multi-Sensor Data Fusion
by Zikun Zhao, Sai Xu, Huazhong Lu, Xin Liang, Hongli Feng and Wenjing Li
Agronomy 2024, 14(11), 2691; https://doi.org/10.3390/agronomy14112691 - 15 Nov 2024
Viewed by 271
Abstract
To enhance lychee quality assessment and address inconsistencies in post-harvest pest detection, this study presents a multi-source fusion approach combining hyperspectral imaging, X-ray imaging, and visible/near-infrared (Vis/NIR) spectroscopy. Traditional single-sensor methods are limited in detecting pest damage, particularly in lychees with complex skins, [...] Read more.
To enhance lychee quality assessment and address inconsistencies in post-harvest pest detection, this study presents a multi-source fusion approach combining hyperspectral imaging, X-ray imaging, and visible/near-infrared (Vis/NIR) spectroscopy. Traditional single-sensor methods are limited in detecting pest damage, particularly in lychees with complex skins, as they often fail to capture both external and internal fruit characteristics. By integrating multiple sensors, our approach overcomes these limitations, offering a more accurate and robust detection system. Significant differences were observed between pest-free and infested lychees. Pest-free lychees exhibited higher hardness, soluble sugars (11% higher in flesh, 7% higher in peel), vitamin C (50% higher in flesh, 2% higher in peel), polyphenols, anthocyanins, and ORAC values (26%, 9%, and 14% higher, respectively). The Vis/NIR data processed with SG+SNV+CARS yielded a partial least squares regression (PLSR) model with an R2 of 0.82, an RMSE of 0.18, and accuracy of 89.22%. The hyperspectral model, using SG+MSC+SPA, achieved an R2 of 0.69, an RMSE of 0.23, and 81.74% accuracy, while the X-ray method with support vector regression (SVR) reached an R2 of 0.69, an RMSE of 0.22, and 76.25% accuracy. Through feature-level fusion, Recursive Feature Elimination with Cross-Validation (RFECV), and dimensionality reduction using PCA, we optimized hyperparameters and developed a Random Forest model. This model achieved 92.39% accuracy in pest detection, outperforming the individual methods by 3.17%, 10.25%, and 16.14%, respectively. The multi-source fusion approach also improved the overall accuracy by 4.79%, highlighting the critical role of sensor fusion in enhancing pest detection and supporting the development of automated non-destructive systems for lychee stem borer detection. Full article
(This article belongs to the Section Precision and Digital Agriculture)
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<p>Schematic diagram of the visible/near-infrared spectroscopy acquisition device.</p>
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<p>Schematic diagram of the hyperspectral imaging acquisition device.</p>
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<p>Schematic diagram of the X-ray image acquisition system.</p>
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<p>Multi-source information fusion flowchart.</p>
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<p>(<b>a</b>) Raw visible/near-infrared spectrum, (<b>b</b>) visible/near-infrared spectrum after SG+SNV preprocessing.</p>
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<p>(<b>a</b>) Raw hyperspectral spectrum, (<b>b</b>) hyperspectral spectrum after SG+MSC preprocessing.</p>
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<p>PCA classification of grayscale values in X-ray imaging feature regions for stem-borer-infested and non-infested fruit.</p>
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<p>(<b>a</b>) Litchi fruit without pests, (<b>b</b>) litchi fruit with pests.</p>
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18 pages, 3011 KiB  
Article
Effects of 1-Methylcyclopropene Treatment on Postharvest Quality and Metabolism of Different Kiwifruit Varieties
by Yanni Zhao, Meiru Yan, Kun Zhang, Xuan Wu, Zi Wang, Ting Shao, Jing Lei, Xuefeng Chen and Huan Liu
Foods 2024, 13(22), 3632; https://doi.org/10.3390/foods13223632 - 14 Nov 2024
Viewed by 431
Abstract
The kiwifruit (Actinidia) is an important nutritional and economic fruit crop. However, the short edible window period of kiwifruit has seriously affected its market value. 1-Methylcyclopropene (1-MCP), as a novel ethylene inhibitor, is widely applied to delay fruit ripening and senescence. [...] Read more.
The kiwifruit (Actinidia) is an important nutritional and economic fruit crop. However, the short edible window period of kiwifruit has seriously affected its market value. 1-Methylcyclopropene (1-MCP), as a novel ethylene inhibitor, is widely applied to delay fruit ripening and senescence. To our knowledge, there are limited studies on the effects of 1-MCP on fruit quality and metabolism of different kiwifruit varieties. Three kiwifruit cultivars (i.e., ‘Xuxiang’, ‘Huayou’, and ‘Hayward’) widely cultivated in China were chosen as our research objects. The variations of storage quality and metabolic characteristics of kiwifruits treated with various 1-MCP concentration (0 μL/L, 0.5 μL/L, and 1.0 μL/L) were systematically investigated. The results showed that 1-MCP treatment significantly improved the quality of kiwifruit during storage. Among them, for ‘Xuxiang’ and ‘Hayward’ varieties, 1.0 μL/L 1-MCP treatment could delay the decrease in fruit firmness, the increase in maturity index and cellulase activity, and inhibit the decrease in ascorbic acid (AsA) level. However, the 0.5 μL/L 1-MCP had a great influence on the chlorophyll content and maturity index of the ‘Huayou’ cultivar, and the preservation effect was satisfactory. In addition, gas chromatography–mass spectrometry (GC–MS) based metabolomics studies revealed that 1-MCP treatment affected carbohydrates metabolism, fatty acids metabolism, and amino acids metabolism in different kiwifruit varieties. Correlation analysis indicated that sugars metabolism has the closest relationship with postharvest physiological quality. This research indicated that the effectiveness of 1-MCP treatments was dependent on fruit variety and treatment concentration. Furthermore, these findings provide a theoretical foundation for extending the shelf life of different kiwifruit varieties. Full article
(This article belongs to the Section Plant Foods)
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Graphical abstract

Graphical abstract
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<p>Effects of 1-MCP treatment on postharvest physiological qualities of kiwifruits. (<b>A</b>) firmness, (<b>B</b>) chlorophyll content, (<b>C</b>) browning index, (<b>D</b>) maturity index (SSC/TA), (<b>E</b>) reducing sugar content, (<b>F</b>) cellulase activity, (<b>G</b>) ascorbic acid content, (<b>H</b>) ABTS<sup>•+</sup> free radical scavenging capacity, (<b>I</b>) ·OH free radical scavenging ability. XX, HY, and HWD represent ‘Xuxiang’, ‘Huayou’, and ‘Hayward’, respectively.</p>
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<p>Multivariate analyses. (<b>A</b>) PLS-DA score plots of metabolites from different kiwifruit varieties. (<b>B</b>) The cross-validation plots of the corresponding PLS-DA modes with 200 times permutation tests. XX, HY, and HWD represent ‘Xuxiang’, ‘Huayou’, and ‘Hayward’, respectively.</p>
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<p>Effects of 1-MCP treatment on the metabolism of kiwifruits. (<b>A</b>) Distribution map of total metabolites categories, (<b>B</b>) metabolic pathway enrichment map, and (<b>C</b>) heatmap analysis of differential metabolites. In the heat map, red and blue represent the high and low relative contents of metabolites. XX, HY, and HWD represent ‘Xuxiang’, ‘Huayou’, and ‘Hayward’, respectively.</p>
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<p>Correlation analysis. The rectangles reflect the Pearson correlation coefficients between various metabolites, colored from negative correlation (blue) to positive correlation (red) based on the magnitude. The range of <span class="html-italic">p</span>-values for metabolites was shown with symbols (*: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01, ***: <span class="html-italic">p</span> &lt; 0.001). The connecting lines illustrate the associations between physiological indicators and metabolites based on Mantel test, with thicker lines representing stronger correlations and thinner lines indicating weaker ones. The color of the lines reflects the magnitude of the <span class="html-italic">p</span>-values.</p>
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19 pages, 4211 KiB  
Article
Isolation, Identification, and Analyzing the Biological Characteristics of Pathogens Causing Stem Rot of Lanzhou Onion During Postharvest Storage and Studying the Influence of Pathogen Infection on the Active Components of Lanzhou Onion
by Ruoxing Wang, Hui Zhang, Qingru Zhang, Jihui Xi, Kunhao Jiang, Jinzhu Li, Huali Xue and Yang Bi
J. Fungi 2024, 10(11), 789; https://doi.org/10.3390/jof10110789 - 14 Nov 2024
Viewed by 361
Abstract
This study was conducted in order to explore the pathogens that cause stem rot of fresh onions during postharvest storage, identify the incidence of stem rot, investigate the influence of pathogen infection on the active components of onion, and provide a theoretical basis [...] Read more.
This study was conducted in order to explore the pathogens that cause stem rot of fresh onions during postharvest storage, identify the incidence of stem rot, investigate the influence of pathogen infection on the active components of onion, and provide a theoretical basis for disease control during the postharvest storage of fresh onions. The pathogens were isolated and purified from the junction between the rotten and healthy tissues of onion stem rot that occurred naturally during storage at room temperature by tissue separation; then, the pathogens were identified by morphological and molecular biological techniques, the biological characteristics of the pathogens were analyzed, and finally, the influence of pathogen infection on the active ingredients of onion was studied. The results suggested that the main pathogens causing stem rot of fresh onions during postharvest storage were Talaromyces pinophilus, Trichoderma simmonsii, and Talaromyces minioluteus. The optimum colony growth conditions for T. pinophilus were as follows: a temperature of 30 °C, a pH of 7, light for 24 h, maltose as a carbon source, and peptone as a nitrogen source; the lethal temperature was 65 °C for 15 min. For T. simmonsii, the lethal temperature was 60 °C for 15 min, and the optimum sporulation conditions were a temperature of 25 °C, a pH of 5–7, light for 24 h, a carbon source of sucrose, and a nitrogen source of yeast powder. For T. minioluteus, the lethal condition was 65 °C for 15 min; the optimum colony growth conditions were a temperature of 25 °C, a pH of 8–9, 24 h of darkness, a carbon source of maltose, and a nitrogen source of peptone. The relative content of sulfur compounds, as the active components of onions, was much lower in the infected onions than in the healthy onions due to infection by the pathogens T. pinophilus, T.simmonsii, and T.minioluteus. This study will provide a theoretical basis for further effective control of the occurrence of postharvest stem rot diseases of onions. Full article
(This article belongs to the Special Issue Control of Postharvest Fungal Diseases, 2nd Edition)
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<p>Symptoms of onion stem rot during storage stage. (<b>a1</b>) symptoms of onion stem rot (<b>a2</b>) local and special symptoms of onion stem rot. (<b>a3</b>) magnification of local and special symptoms of onion stem rot. (<b>a4</b>) water stains, a disease symptom of the tissue under the mold layer of stem rot.</p>
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<p>Morphological observation of pathogens. (<b>A</b>,<b>B</b>) WRX-1 colony morphology; (<b>C</b>,<b>D</b>) WRX-2 colony morphology; (<b>E</b>,<b>F</b>) WRX-3 colony morphology; (<b>G</b>) WRX-1 spore morphology; (<b>H</b>) WRX-2 spore morphology; (<b>I</b>) WRX-3 spore morphology; (<b>J</b>) WRX-1 sporophyte morphology; (<b>K</b>) WRX-2 sporophyte morphology; (<b>L</b>) WRX-3 sporophyte morphology.</p>
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<p>Gel electrophoresis of PCR amplification products.</p>
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<p>ITS, Bt, RPB2, and CMD phylogenetic trees based on the adjacency sequence method (<b>A</b>) ITS, (<b>B</b>) BT, (<b>C</b>) RBP2, (<b>D</b>) CMD.</p>
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<p>ITS, Bt, RPB2, and CMD phylogenetic trees based on the adjacency sequence method (<b>A</b>) ITS, (<b>B</b>) BT, (<b>C</b>) RBP2, (<b>D</b>) CMD.</p>
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<p>Incidences and disease indices of WRX-1 (<b>A</b>), WRX-2 (<b>B</b>), and WRX-3 (<b>C</b>). Vertical lines indicate standard error (±SE); different letters indicate statistically significant differences in variables (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of humidity on spore germination. Vertical lines indicate standard error (±SE); different letters indicate the difference of variables with statistical significance (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Total ion flow chromatogram of volatile components in onions.</p>
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5 pages, 199 KiB  
Editorial
Advanced Studies on the Quality Control and Metabolism of Bioactive Compounds in Postharvest Horticultural Crops
by Zhaojun Ban, Cunkun Chen and Li Li
Horticulturae 2024, 10(11), 1198; https://doi.org/10.3390/horticulturae10111198 - 14 Nov 2024
Viewed by 297
Abstract
Fruits and vegetables are rich in nutrients such as vitamins C and A, minerals, electrolytes, and dietary fiber [...] Full article
11 pages, 2890 KiB  
Article
Cropping and Pruning Systems of Primocane Raspberries in the Subtropical Climate
by Ricardo Bordignon Medina, Yane Caroline dos Anjos Bezerra, Ellen Rayssa Oliveira, Ricardo Alfredo Kluge and Marcel Bellato Spósito
Horticulturae 2024, 10(11), 1197; https://doi.org/10.3390/horticulturae10111197 - 14 Nov 2024
Viewed by 375
Abstract
Raspberry production is limited to cold temperate areas of high latitude due to the requirement of low temperatures for flowering and fruiting from most cultivars. However, primocane cultivars, as they are less demanding in cold conditions, represent a possible alternative that suits regions [...] Read more.
Raspberry production is limited to cold temperate areas of high latitude due to the requirement of low temperatures for flowering and fruiting from most cultivars. However, primocane cultivars, as they are less demanding in cold conditions, represent a possible alternative that suits regions with a subtropical climate. The cultivar Heritage primocane raspberry was investigated in the Cwa climate, in three production systems (PS), during two crop cycles. In PS1, canes were hard pruned at ground level after primocane fruiting. In PS2, canes were tipped to promote subapical bud break for a second harvest. In PS3, canes were tipped again after the second harvest to induce a third harvest. PS1 had the lowest yield, however, after two cycles; in plants of this system it was observed the highest root weight, and starch content. Raspberries subjected to subapical pruning show lower carbohydrate storage in the root system. The production systems had little influence on fruit qualities, in both cycles. The cultivation of cv. Heritage raspberry primocane, in the subtropical Cwa climate can be carried out with sequential pruning, allowing for the production of commercial fruits with harvests distributed over the months, without any reduction in the postharvest quality of the fruits produced. Full article
(This article belongs to the Special Issue Orchard Management under Climate Change)
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<p>Production systems of cv. Heritage raspberries primocane cultivated in Piracicaba, Brazil, for two cycles (1 and 2). (<b>A</b>): Production system PS1, single harvest in the apical nodes of the canes, followed by hard pruning; (<b>B</b>): Production system PS2, harvest in the apical nodes of the canes, followed by tipping to induce the second harvest, and subsequent hard pruning; (<b>C</b>): Production system PS3, harvest in the apical nodes of the canes, followed by tipping to induce the second harvest, second tipping to induce the third harvest, and finally, hard pruning.</p>
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<p>Three production systems in two production cycles for a single cane, showing different harvest strategies. Each system includes two cycles, with additional harvests in systems PS2 and PS3. (<b>A</b>): Production system PS1, with a single harvest at the apical nodes of the canes, followed by hard pruning (HP); (<b>B</b>): Production system PS2, with an initial harvest at the apical nodes, followed by tipping (T) to induce a second harvest, and subsequent hard pruning; (<b>C</b>): Production system PS3, featuring an initial harvest at the apical nodes, followed by tipping to induce a second harvest, a second tipping to promote a third harvest, and ending with hard pruning.</p>
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