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13 pages, 6502 KiB  
Article
Melatonin-Induced Transcriptome Variation of Sweet Potato Under Heat Stress
by Mengzhao Wang, Yang Zhou, Bei Liang, Sunjeet Kumar, Wenjie Zhao, Tianjia Liu, Yongping Li and Guopeng Zhu
Plants 2025, 14(3), 430; https://doi.org/10.3390/plants14030430 (registering DOI) - 1 Feb 2025
Abstract
Melatonin (MT) has been widely recognized for its ability to mitigate the effects of abiotic stress and regulate plant development. In this study, we investigated the role of exogenous MT in enhancing heat tolerance in sweet potato, with a particular focus on its [...] Read more.
Melatonin (MT) has been widely recognized for its ability to mitigate the effects of abiotic stress and regulate plant development. In this study, we investigated the role of exogenous MT in enhancing heat tolerance in sweet potato, with a particular focus on its capacity to alleviate heat stress-induced damage. MT treatment significantly reduced oxidative stress, as evidenced by decreased levels of hydrogen peroxide, superoxide ions, and malondialdehyde (MDA), all of which were elevated under heat stress. To uncover the underlying mechanisms, RNA sequencing was performed on three experimental groups: control (CK), heat stress alone (HS), and MT pre-treatment followed by heat stress (MH). A total of 3491, 3280, and 1171 differentially expressed genes (DEGs) were identified in the CK vs. HS, CK vs. MH, and HS vs. MH comparisons, respectively. MT treatment notably modulated the expression of genes involved in redox regulation and nicotinate and nicotinamide metabolism. Moreover, MT enhanced the expression of genes associated with key signaling pathways, including mitogen-activated protein kinases (MPK3) and plant hormone signal transduction components, such as ethylene response factor (ERF). These findings offer novel insights into the mechanisms by which exogenous MT enhances heat tolerance in sweet potato, highlighting its role in regulating antioxidant systems, metabolic pathways, and hormone signaling. This study presents valuable strategies for improving crop resilience to heat stress. Full article
(This article belongs to the Section Plant Response to Abiotic Stress and Climate Change)
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Figure 1
<p>Overview of transcriptome analysis of leaves to CK, HS, and MH treatments. (<b>A</b>) Principal component analysis (PCA) plot showing the overall relationships among samples from the three treatments, each with three biological replicates. CK: red; HS: green; MH: blue. Pairwise similarities were measured using the Euclidean distance method on log2-transformed TPM values. (<b>B</b>) Number of differentially expressed genes (DEGs) identified in pairwise comparisons between treatments (|fold change| ≥ 1; <span class="html-italic">p</span>-value &lt; 0.01).</p>
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<p>Comparative analysis of the transcriptome for CK, HS, and MH treatment. (<b>A</b>,<b>B</b>) Venn diagrams showing the overlaps of upregulated (<b>A</b>) and downregulated (<b>B</b>) DEGs in pairwise comparisons between treatments. (<b>C</b>) Enriched Gene Ontology (GO) terms for DEGs in pairwise comparisons. The color and size of the dots represent enrichment significance and the number of associated genes, respectively.</p>
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<p>KEGG enrichment analysis of DEGs in pairwise comparison. (<b>A</b>) KEGG enrichment analysis of up-regulated DEGs across pairwise comparisons. (<b>B</b>) KEGG enrichment analysis of down-regulated DEGs across pairwise comparisons. (<b>C</b>) Heatmap showing the RNA profiles of genes involved in the enriched KEGG pathway “Zeatin biosynthesis” across the CK, HS, and MH treatment. (<b>D</b>) Heatmap showing the RNA expression profiles of genes involved in the enriched KEGG pathway “Nicotinate and nicotinamide metabolism” across CK, HS, and MH treatments. The color bar represents the Z-scores after normalization.</p>
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<p>Clustering and functional enrichment analysis of DEGs under different treatments. The heatmap shows the Z-scores of DEGs across CK (control), HS (heat stress), and MH (melatonin under heat stress) treatments. DEGs are grouped into eight clusters (C1–C8) based on expression patterns, with the number of genes in each cluster indicated. Line plots on the left depict the expression trends for each cluster. Functional enrichment analysis for each cluster is presented on the right, with bar charts showing the log10(ratio) of enriched GO terms and KEGG pathways, while bubble plots represent the corresponding −log10(<span class="html-italic">p</span>-value) for significant terms. Key biological processes and pathways relevant to each cluster are highlighted, reflecting their functional significance under the treatments.</p>
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<p>qRT-PCR validation of genes associated with melatonin treatment under heat stress. Error bars represent the means ± SE of three biological replicates. Gene expression levels are presented as the mean of three replicates. Statistical significance was analyzed, with “*” indicating <span class="html-italic">p</span> ≤ 0.05, “**” denoting <span class="html-italic">p</span> ≤ 0.01, and “***” indicating <span class="html-italic">p</span> ≤ 0.001. CK represents the control group, HS refers to heat stress treatment, and MH corresponds to heat stress combined with exogenous melatonin treatment.</p>
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28 pages, 5603 KiB  
Review
Application of Discrete Element Method to Potato Harvesting Machinery: A Review
by Yuanman Yue, Qian Zhang, Boyang Dong and Jin Li
Agriculture 2025, 15(3), 315; https://doi.org/10.3390/agriculture15030315 - 31 Jan 2025
Viewed by 251
Abstract
The Discrete Element Method (DEM) is an innovative numerical computational approach. This method is employed to study and resolve the motion patterns of particles within discrete systems, contact mechanics properties, mechanisms of separation processes, and the relationships between contact forces and energy. Agricultural [...] Read more.
The Discrete Element Method (DEM) is an innovative numerical computational approach. This method is employed to study and resolve the motion patterns of particles within discrete systems, contact mechanics properties, mechanisms of separation processes, and the relationships between contact forces and energy. Agricultural machinery involves the interactions between machinery and soil, crops, and other systems. Designing agricultural machinery can be equivalent to solving problems in discrete systems. The DEM has been widely applied in research on agricultural machinery design and mechanized harvesting of crops. It has also provided an important theoretical research approach for the design and selection of operating parameters, as well as the structural optimization of potato harvesting machinery. This review first analyzes and summarizes the current global potato industry situation, planting scale, and yield. Subsequently, it analyzes the challenges facing the development of the potato industry. The results show that breeding is the key to improving potato varieties, harvesting is the main stage where potato damage occurs, and reprocessing is the main process associated with potato waste. Second, an overview of the basic principles of DEM, contact models, and mechanical parameters is provided, along with an introduction to the simulation process using the EDEM software. Third, the application of the DEM to mechanized digging, transportation, collection, and separation of potatoes from the soil is reviewed. The accuracy of constructing potato and soil particle models and the rationality of the contact model selection are found to be the main factors affecting the results of discrete element simulations. Finally, the challenges of using the DEM for research on potato harvesting machinery are presented, and a summary and outlook for the future development of the DEM are provided. Full article
15 pages, 1472 KiB  
Article
Effect of Partial Root Drying Stress on Improvement in Tomato Production
by Huilian Xu, Hairong Jing, Runyu Shi, Minghao Chen, Chunfang Wang, Qicong Xu, Jianfang Bai, Xiaoyong Liu and Mengmeng Kong
Curr. Issues Mol. Biol. 2025, 47(2), 84; https://doi.org/10.3390/cimb47020084 - 28 Jan 2025
Viewed by 322
Abstract
Several countries around the world are facing the issue of freshwater availability, where agriculture is highly dependent on irrigation, consuming 70% of this vital resource. Water availability is the most limiting factor for the crop production sector and one of the main regulators [...] Read more.
Several countries around the world are facing the issue of freshwater availability, where agriculture is highly dependent on irrigation, consuming 70% of this vital resource. Water availability is the most limiting factor for the crop production sector and one of the main regulators of the spatial distribution of plants. It is noted that in recent years, the methods of irrigation water application have been improved. Currently, research is directed towards irrigation strategies that reduce water applications. A partial root drying (PRD) technique involves irrigating one-half of the root zone while leaving the other half in relatively dry soil. This method is used in the production of various crops, such as potatoes and cotton. However, the mechanism of PRD, including the physiological and molecular biological processes involved, is not fully understood. In this study, tomato plants were treated with PRD and nitrogen (N) top-dressing. The results showed that PRD could significantly increase the fruit yield, photosynthetic activities, nitrate reductase activity, and fruit quality in the tomato plants, and PRD could also promote the concentrations of oxygen species (O2), malondialdehyde (MDA) and proline contents, and activities of antioxidant enzymes. In addition, PRD could enhance stress resistance by increasing disease resistance and NP1 and DRED3 antioxidant enzyme activity. Tomato plants treated with PRD compared to the control showed high photosynthetic activity, high yield, better quality of production, and low leaf blight incidence. Overall, the results indicate that PRD is a feasible approach that could be effectively utilized in tomato fields to improve plant growth and production compared with the control. Full article
(This article belongs to the Section Molecular Plant Sciences)
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<p>The tween pots for the partial root drying treatment in tomato plants.</p>
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<p>A schematic model of the pressure–volume curve.</p>
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<p>Detection of selected genes in tomato plants. PCR products of (<b>A</b>) nitrate re-educated (NR1) and (<b>B</b>) drought stress DREB3 genes were detected. M is the DL2000 marker; 1 and 2 are the PCR amplitude profiles of the sample.</p>
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18 pages, 1304 KiB  
Review
Carotenoids in Potato Tubers: A Bright Yellow Future Ahead
by Monica Sturaro
Plants 2025, 14(2), 272; https://doi.org/10.3390/plants14020272 - 18 Jan 2025
Viewed by 465
Abstract
Carotenoids, the bright yellow, orange, and red pigments of many fruits and vegetables, are essential components of the human diet as bioactive compounds not synthesized in animals. As a staple crop potato has the potential to deliver substantial amounts of these nutraceuticals despite [...] Read more.
Carotenoids, the bright yellow, orange, and red pigments of many fruits and vegetables, are essential components of the human diet as bioactive compounds not synthesized in animals. As a staple crop potato has the potential to deliver substantial amounts of these nutraceuticals despite their lower concentration in tubers compared to edible organs of other plant species. Even small gains in tuber carotenoid levels could have a significant impact on the nutritional value of potatoes. This review will focus on the current status and future perspectives of carotenoid biofortification in potato with conventional breeding and biotechnological approaches. The high biodiversity of tuber carotenoid levels and composition is presented, with an emphasis on the under-exploited native germplasm that represents a wide reservoir of useful genetic variants to breed carotenoid-rich varieties. The following section describes the structural genes involved in carotenoid metabolism and storage known to have a major impact on carotenoid accumulation in potato, together with the strategies that harnessed their expression changes to increase tuber carotenoid content. Finally, the little information available on the regulation of carotenoid metabolism and the desirable future advances in potato carotenoid biofortification are discussed. Full article
(This article belongs to the Special Issue Crop Genetics and Breeding)
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<p>Examples of chemical structures of carotenes and xanthophylls.</p>
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<p>Plastidial carotenoid pathway in higher plants. Carotenes are boxed in orange, xanthophylls in yellow. Enzymes of major flux-controlling steps in potato are in dark red, the others in orange. Other GGPP-derived compounds and some of the apocarotenoids produced by carotenoid degradation are reported. G3P, glyceraldehyde 3-phosphate; MEP, metylerythritol 4-phosphate; IPP, isopentenyl diphosphate; DMAPP, dimethylallyl diphosphate; GGPP, geranylgeranyl diphosphate; GAs, gibberellins; ABA, abscisic acid; PSY, phytoene synthase; PDS, phytoene desaturase; ZISO, ζ-carotene isomerase; ZDS, ζ-carotene desaturase; CRTISO carotenoid isomerase; LYCE, lycopene ε-cyclase; LYCB, lycopene β-cyclase; CYP97A and CYP97C, cytochrome P450 carotene β- and ε-ring hydroxylases; CHY (also known as BCH), β-carotene hydroxylase; ZEP, zeaxanthin epoxidase; VDE, violaxanthin de-epoxidase; NSY, neoxanthin synthase.</p>
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<p>Cross-sections of potato tubers with different flesh color and from different <span class="html-italic">Solanum</span> species (<b>a</b>) <span class="html-italic">S. chacoense</span> (2n) (<b>b</b>) <span class="html-italic">S. tuberosum</span> (4n) (<b>c</b>) <span class="html-italic">S. phureja</span> (2n).</p>
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25 pages, 6689 KiB  
Article
Analysis of the Control Effect of Bacillus amyloliquefaciens C4 Wettable Powder on Potato Bacterial Wilt Caused by Ralstonia solanacearum
by Zhixiang Xing, Dan Liu, Meng Luo, Zelin Yang, Wenyuan Pang, Yexing Feng, Jiani Yan, Fumeng He, Xu Feng, Qiang Yuan, Yingnan Wang and Fenglan Li
Agronomy 2025, 15(1), 206; https://doi.org/10.3390/agronomy15010206 - 16 Jan 2025
Viewed by 414
Abstract
Potatoes are one of the most important food crops worldwide, but their growth and development are often seriously threatened by potato bacterial wilt. The wettable powder produced by Bacillus amyloliquefaciens C4 under optimized fermentation conditions effectively inhibits potato bacterial wilt. In this study, [...] Read more.
Potatoes are one of the most important food crops worldwide, but their growth and development are often seriously threatened by potato bacterial wilt. The wettable powder produced by Bacillus amyloliquefaciens C4 under optimized fermentation conditions effectively inhibits potato bacterial wilt. In this study, lipopeptide antibiotics were identified via PCR and MALDI-TOF-MS, and their antibacterial activity was determined. The optimal formulation of C4 wettable powder was optimized via a single-factor experiment combined with a response surface. The effect of C4 wettable powder on potato bacterial wilt was evaluated. In the antibacterial activity test, surfactin showed better inhibition ability. After determining the optimal liquid fermentation conditions and wettable powder formula, the surfactin activity increased to 540.15 mg/L, and the C4 wettable powder activity reached 69.67 × 108 cfu/g. The results of the pot experiment showed that the best cost-effectiveness was achieved under 500 times dilution and spraying, with a control effect of 79.05 ± 24.79%. The physiological and biochemical results showed that C4 wettable powder could induce rapid defense enzyme responses in leaves and enhance plant resistance to pathogenic bacteria. The results showed that C4 wettable powder effectively controlled potato bacterial wilt, and its application method was determined. Full article
(This article belongs to the Section Pest and Disease Management)
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<p>The growth curve of <span class="html-italic">Bacillus amyloliquefaciens</span> C4 (<b>a</b>) and the width of the inhibition zone of <span class="html-italic">Bacillus amyloliquefaciens</span> C4 against the growth of <span class="html-italic">Ralstonia solanacearum</span> (<b>b</b>): A, 50 µL of C4 fermentation broth; B, 50 µL of C4 supernatant; C, crude C4 lipopeptide extract; D, LB medium. Error bars indicate the standard deviation calculated from three independent samples. Different letters and stars indicate significant differences at the 0.05 level determined via Duncan’s new multiple range test.</p>
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<p>PCR detection of genes responsible for lipopeptide biosynthesis: M: DNA marker; 1: <span class="html-italic">iturinC</span>; 2: <span class="html-italic">spaS</span>; 3: <span class="html-italic">sfrAA</span>; 4: <span class="html-italic">fenD.</span></p>
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<p>Antibacterial effects of three lipopeptides of C4 strain on <span class="html-italic">Ralstonia solanacearum</span> (<b>a</b>) and optimized surfactin content of <span class="html-italic">Bacillus amyloliquefaciens</span> C4 (<b>b</b>). A, B, and C represent 1 mg/mL surfactin, fengycin, and iturin A lipopeptide extracts from C4 strains, respectively, and D is LB medium (CK). ** denotes highly significant differences (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Optimization of wettable powder carriers and additives: (<b>a</b>) effects of different carriers on biocontrol activities; (<b>b</b>) effects of different wetting agents on biocontrol activities; (<b>c</b>) effects of dispersants on biocontrol activities; (<b>d</b>) effects of protective agents on biocontrol activities. Different lowercase letters represent significant differences. Note: SI is the precipitated silica in the carrier, DE is the diatomaceous earth in the carrier, KA is the kaolin in the carrier, CC is the calcium carbonate in the carrier, TP is the talcum powder in the carrier, SP is the saponin powder in the wetting agent, SDBS is the Sodium dodecyl benzene sulfonate in the wetting agent, SD as the sodium diisobutyl naphthalenesulfonate in the wetting agent; SC is the sodium carboxymethylcellulose in the dispersant, ST is the sodium tripolyphosphate in the dispersant, SL is the sodium lignosulfonate in the dispersant, PA is the polyvinyl alcohol in the dispersant; ME represents the methylcellulose in the protective agent, HA is the humic acid in the protective agent, and XG as the xanthan gum in the protective agent. Values are expressed as averages ± SD. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) among groups (n = 3).</p>
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<p>Optimization of different amounts of wettable powder carrier and additives: (<b>a</b>) effects of different kaolin addition amounts on biocontrol activities; (<b>b</b>) effects of different amounts of sodium dodecyl benzene sulfonate added on biocontrol activities; (<b>c</b>) effects of different lignosulfonate sodium on biocontrol activities; (<b>d</b>) effects of different humic acids on biocontrol activities. Different lowercase letters represent significant differences.</p>
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<p>Response surface and contour map of sodium dodecyl benzene sulfonate and sodium lignosulfonate liquor interaction (<b>a</b>,<b>b</b>), sodium dodecyl benzenesulfonate and humic acid interaction (<b>c</b>,<b>d</b>), and sodium lignosulfonate and humic acid interaction (<b>e</b>,<b>f</b>).</p>
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<p>A comparative analysis of the disease spot area (<b>a</b>) and biocontrol effect (<b>b</b>) of inoculating <span class="html-italic">Bacillus amyloliquefaciens</span> C4 liquid and <span class="html-italic">Bacillus amyloliquefaciens</span> C4 soluble powder on <span class="html-italic">Ralstonia solanacearum</span>. Note: CK represents the aspiration of the same volume of sterile distilled water, a C4 bacterial solution at a concentration of 69.67 × 10<sup>8</sup> cfu/mL, a C4 bacterial agent at a concentration of 43.22 × 10<sup>7</sup> cfu/g diluted 300 times, a C4 bacterial agent at a concentration of 43.93 × 10<sup>6</sup> cfu/g diluted 500 times, and a C4 bacterial agent was diluted 1000 times to a concentration of 69.67 × 10<sup>5</sup> cfu/g. Note: Values are expressed as averages ± SD. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) among groups (n = 3).</p>
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<p>Changes in (<b>a</b>) SOD, (<b>b</b>) POD, (<b>c</b>) PAL, and (<b>d</b>) MDA activity in isolated potato leaves after inoculation with pathogenic bacteria <span class="html-italic">Ralstonia solanacearum</span> mixed with <span class="html-italic">Bacillus amyloliquefaciens</span> C4 (C4) or <span class="html-italic">Bacillus amyloliquifaciens</span> C4 wettable powder (C4 + WP). SOD, superoxide dismutase; POD, peroxidase; PAL, phenylalanine ammonia lyase; MDA, malondialdehyde. * indicates significant differences in <span class="html-italic">t</span>-tests (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Peak diagram of Surface Activator Standard. Standard mother liquor configuration: The surfactin standard was dissolved in chromatographic-grade methanol to a concentration of 1000 mg/L, and the standard mother liquor was diluted to 50 mg/L, 100 mg/L, 200 mg/L, 400 mg/L, and 800 mg/L, respectively. 1260II Prime high-performance liquid chromatograph was used for detection, and the concentration and peak area were used as the ordinate and abscordinate of the standard curve, respectively. The standard curve was obtained by calculation: y = 16.826 x + 98.364 (R<sup>2</sup> = 0.9986), and the content was calculated according to the standard curve.</p>
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<p>Quadrupole time-of-flight tandem mass spectrometry for the lipopeptide antibiotics isolated from C4. (<b>a</b>–<b>d</b>) Spectra of surfactins; (<b>e</b>,<b>f</b>) Spectra of fengycins; (<b>g</b>–<b>j</b>) Spectra of iturins. Note: The red circle in a represents surfactin A (C13), the red circle in b represents surfactin B (C<sub>14</sub>), the red circle in c represents surfactin C (C<sub>15</sub>), the red circle in d represents surfactin C (C<sub>16</sub>), the red circles in e represent fengycin B (C16) and fengycin C (C17), the red circle in f represents fengycin D (C<sub>18</sub>), the red circle in g represents iturinA (C<sub>13</sub>), the red circle in h represents iturinA (C<sub>13</sub>), the red circle in i represents iturinA (C<sub>13</sub>), and the red circle in j represents iturinA (C<sub>13</sub>) (C13).</p>
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<p>Peak plot of activin content on the inner surface of the blank control.</p>
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<p>Peak map of surfactant content after optimization of culture conditions.</p>
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<p>A comparison of leaf symptoms in the pot experiment. (<b>a</b>) <span class="html-italic">Ralstonia solanacearum</span> + water treatment was used as a blank control. (<b>b</b>) <span class="html-italic">Ralstonia solanacearum</span> + <span class="html-italic">Bacillus amyloliquefaciens</span> C4. (<b>c</b>) <span class="html-italic">Ralstonia solanacearum</span> + <span class="html-italic">Bacillus amyloliquefaciens</span> C4 wettable powder (1:300). (<b>d</b>) <span class="html-italic">Ralstonia solanacearum</span> + <span class="html-italic">Bacillus amyloliquefaciens</span> C4 wettable powder (1:500). (<b>e</b>) <span class="html-italic">Ralstonia solanacearum</span> + <span class="html-italic">Bacillus amyloliquefaciens</span> C4 wettable powder (1:1000).</p>
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13 pages, 2507 KiB  
Article
Age-Stage, Two-Sex Life Table of Leptinotarsa decemlineata (Coleoptera: Chrysomelidae) Experiencing Cadmium Stress
by Bingyu He, Jiebo Zhang, Yang Hu, Yi Zhang, Jianan Wang and Chao Li
Insects 2025, 16(1), 73; https://doi.org/10.3390/insects16010073 - 13 Jan 2025
Viewed by 491
Abstract
Cadmium in agricultural soils has emerged as a substantial threat to crop health and yields through its bioaccumulation along the food chain, with further repercussions for the growth, development, and population dynamics of herbivorous insects. In this study, potted potato plants were treated [...] Read more.
Cadmium in agricultural soils has emerged as a substantial threat to crop health and yields through its bioaccumulation along the food chain, with further repercussions for the growth, development, and population dynamics of herbivorous insects. In this study, potted potato plants were treated with Cd2+ solutions at concentrations of 0 mg/kg, 30 mg/kg, 60 mg/kg, 90 mg/kg, and 120 mg/kg. Colorado potato beetles (Leptinotarsa decemlineata) were fed on potato leaves exposed to these varying concentrations of cadmium, and the effects on their growth and development were assessed. The results revealed that: 1. The developmental period, pupal stage, and pre-oviposition period of the first-instar larvae of L. decemlineata feeding on cadmium-contaminated leaves was significantly prolonged, while both the lifespan and fecundity were reduced. 2. Key population parameters, including the innate rate of increase (r), finite rate of increase (λ), net reproductive rate (R0), and gross reproduction rate (GRR), were evidently lower in cadmium-exposed L. decemlineata, while the average generation time did not show a significant difference. 3. Cadmium exposure also resulted in a remarkable reduction in survival and reproductive rates at specific life stages, along with an increase in the incidence of deformations in newly emerged adults. These findings underscore the detrimental effects of cadmium on both crop health and pest populations. This study holds valuable implications for more effective implementation of pest control strategies in the future, offering robust scientific evidence to support the safeguarding of food security. Full article
(This article belongs to the Section Insect Pest and Vector Management)
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<p>Age-stage-specific survival rate (<span class="html-italic">S<sub>xj</sub></span>) of <span class="html-italic">Leptinotarsa decemlineata</span> on heavy metal cadmium-stressed potato plants. Note: N1–N5 represent the first, second, third, fourth, and fifth nymph stages, respectively.</p>
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<p>Age-specific survival rate (<span class="html-italic">l<sub>x</sub></span>), female age-specific fecundity (<span class="html-italic">f<sub>x</sub>,</span><sub>6</sub>), age-specific fecundity of total population (<span class="html-italic">m<sub>x</sub></span>), and age-specific maternity (<span class="html-italic">l<sub>x</sub>m<sub>x</sub></span>) of <span class="html-italic">Leptinotarsa decemlineata</span> on heavy metal cadmium-stressed potato plants.</p>
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<p>Age-stage life expectancy (<span class="html-italic">e<sub>xj</sub></span>) of <span class="html-italic">Leptinotarsa decemlineata</span> on heavy metal cadmium-stressed potato plants. Note: N1–N5 represent the first, second, third, fourth, and fifth nymph stages, respectively.</p>
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<p>Age-stage reproductive value (<span class="html-italic">v<sub>xj</sub></span>) of <span class="html-italic">Leptinotarsa decemlineata</span> on heavy metal cadmium-stressed potato plants. Note: N1–N5 represent the first, second, third, fourth, and fifth nymph stages, respectively.</p>
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<p>Deformity of <span class="html-italic">Leptinotarsa decemlineata</span> on cadmium-stressed potato plants. Note: Data in the figure were average rate ± standard error; Different lowercase letters in the figure indicated significant differences among different Potencies (<span class="html-italic">p</span> &lt; 0.05) (one-Way ANOVA).</p>
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17 pages, 5927 KiB  
Article
Pulsed Electric Field Induces Significant Changes in the Metabolome of Fusarium Species and Decreases Their Viability and Toxigenicity
by Adam Behner, Jana Palicova, Anna-Hirt Tobolkova, Nela Prusova and Milena Stranska
Toxins 2025, 17(1), 33; https://doi.org/10.3390/toxins17010033 - 11 Jan 2025
Viewed by 864
Abstract
Fusarium fungi are widespread pathogens of food crops, primarily associated with the formation of mycotoxins. Therefore, effective mitigation strategies for these toxicogenic microorganisms are required. In this study, the potential of pulsed electric field (PEF) as an advanced technology of increasing use in [...] Read more.
Fusarium fungi are widespread pathogens of food crops, primarily associated with the formation of mycotoxins. Therefore, effective mitigation strategies for these toxicogenic microorganisms are required. In this study, the potential of pulsed electric field (PEF) as an advanced technology of increasing use in the food processing industry was investigated to minimize the viability of Fusarium pathogens and to characterize the PEF-induced changes at the metabolomic level. Spores of four Fusarium species (Fusarium culmorum, Fusarium graminearum, Fusarium poae, and Fusarium sporotrichioides) were treated with PEF and cultured on potato dextrose agar (PDA) plates. The viability of the Fusarium species was assessed by counting the colony-forming units, and changes in the mycotoxin content and metabolomic fingerprints were evaluated by using UHPLC-HRMS/MS instrumental analysis. For metabolomic data processing and compound identification, the MS-DIAL (v. 4.80)–MS-CleanR–MS-Finder (v. 3.52) software platform was used. As we found out, both fungal viability and the ability to produce mycotoxins significantly decreased after the PEF treatment for all of the species tested. The metabolomes of the treated and untreated fungi showed statistically significant differences, and PEF-associated biomarkers from the classes oxidized fatty acid derivatives, cyclic hexapeptides, macrolides, pyranocoumarins, carbazoles, and guanidines were identified. Full article
(This article belongs to the Section Mycotoxins)
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Figure 1
<p>PCA (score scatter plot) including all samples (FC—<span class="html-italic">F. culmorum</span>; FG—<span class="html-italic">F. graminearum</span>; FP—<span class="html-italic">F. poae</span>; FS—<span class="html-italic">F. sporotrichioides</span>) colored according to the particular experimental conditions. Excluded PEF-treated samples are grouped with the “PDA blank” samples represented by gray dots in the left part of the plot.</p>
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<p>PCA (score scatter plots) of each <span class="html-italic">Fusarium</span> species dataset (FC—<span class="html-italic">F. culmorum</span>; FG—<span class="html-italic">F. graminearum</span>; FP—<span class="html-italic">F. poae</span>; FS—<span class="html-italic">F. sporotrichioides</span>) colored according to the particular experimental conditions.</p>
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<p>Selection of statistically significant features using VIP + ROC filters illustrated in the OPLS-DA S-plot.</p>
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<p>The extracted ion chromatograms (XICs) (<b>A</b>), match of experimental vs. in silico MS/MS spectra with chemical structures of fragments colored green (<b>B</b>), and boxplots before statistical analysis (<b>C</b>) of unique PEF-related biomarkers Compound<sup>1</sup> (<b>1</b>), Desotamide D (<b>2</b>), Megalomicin C1 (<b>3</b>), Compound<sup>2</sup> (<b>4</b>), Compound<sup>3</sup> (<b>5</b>), and Compound<sup>4</sup> (<b>6</b>). Tentative identifications and intensity trends of these biomarkers are presented in the FG and FP datasets. <sup>1</sup> 2-((3-(((2,3-dihydroxypropoxy)(hydroxy)phosphoryl)oxy)-2-hydroxypropoxy)(hydroxy)methyl)hexadecanoic acid. <sup>2</sup> 13-(hydroxymethyl)-19,19-dimethyl-3-(2-phenylethyl)-12-(propan-2-yl)-23-(propan-2-ylidene)-6,10,18,21-tetraoxapentacyclo[24.2.2.0<sup>7</sup>,<sup>20</sup>.0<sup>8</sup>,<sup>17</sup>.0<sup>9</sup>,<sup>14</sup>]triaconta-1(28),8,12,14,16,26,29-heptaene-5,11,22-trione. <sup>3</sup> [8-acetyl-12-(1-hydroxyethyl)-4,5-dimethoxy-14-methyl-17-oxo-8,14-diazatetracyclo[9.5.2.0¹,⁹.0²,⁷]octadeca-2(7),3,5,12-tetraen-10-yl]methyl acetate. <sup>4</sup> 1-[N′-[6-[[amino-[[N′-(2-hydroxyethyl)amidino]amino]methylene]amino]hexyl]amidino]-2-(2-hydroxyethyl)guanidine.</p>
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<p>Boxplots demonstrating the distribution of mycotoxin (diacetoxyscirpenol (DAS), deoxynivalenol (DON), neosolaniol (NEO), and zearalenone (ZEA)) abundance in PDA plates with fungi (FC—<span class="html-italic">F. culmorum</span>; FG—<span class="html-italic">F. graminearum</span>; FP—<span class="html-italic">F. poae</span>; FS—<span class="html-italic">F. sporotrichioides</span>) only with significant decreases after PEF treatment. Significance was statistically tested using the Wilcoxon rank-sum test (<span class="html-italic">p</span>-value &lt; 0.1). Red boxplots represent control samples, and green boxplots represent PEF-treated samples. The black dots in the boxplot represent each sample and the yellow square represents the average.</p>
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18 pages, 3596 KiB  
Communication
Effects of Climate Variation on Spring Potato Growth, Yield, and Quality in South Korea
by Hyun Hwa Park, Ei Ei and Yong In Kuk
Agronomy 2025, 15(1), 149; https://doi.org/10.3390/agronomy15010149 - 9 Jan 2025
Viewed by 322
Abstract
In South Korea, spring potatoes account for over 60% of total potato production, but global warming and anomalous weather events may impact their growth and yield. This study examined potato cultivation practices across 12 locations with varying climates, analyzing meteorological factors, soil properties, [...] Read more.
In South Korea, spring potatoes account for over 60% of total potato production, but global warming and anomalous weather events may impact their growth and yield. This study examined potato cultivation practices across 12 locations with varying climates, analyzing meteorological factors, soil properties, and potato composition to identify stable cultivation areas. A survey of 45 farms revealed earlier planting dates in G3 regions compared to G2 and G1. Regions were classified into three groups (G1, G2, and G3) based on climatic conditions, with G1 representing the most temperate regions, G2 indicating regions with moderate climates, and G3 including areas with the warmest climates. The Superior variety was predominately cultivated in average areas of 1.4 ha. Yields ranged from 22,500 to 35,000 kg/ha, with G2 regions producing the highest yields. During tuber formation, plant height in G2 and G3 was greater than in G1, but no differences were noted at harvest. Planting times correlated with higher February and March temperatures, which were highest in G3. Soil properties were suitable across all regions, with minor variations. Ash and crude fat content were highest in G1 crops, while ascorbate and glutathione levels were highest in G3. No significant differences were found in total phenol and flavonoid content, though G2 and G3 showed higher antioxidant activity. Similar weather during the main growth period (April–June) minimized regional differences in growth, yield, and quality, but ongoing monitoring is recommended as climate change progresses. Overall, this study provides insights into how climatic conditions affect potato cultivation in South Korea and emphasizes the importance of adapting farming practices to ensure stable yields under changing climate conditions. Full article
(This article belongs to the Collection Innovative Organic and Regenerative Agricultural Production)
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<p>Experimental areas (G1, G2, and G3) used in this study.</p>
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<p>Planting date and potato yield across three region groups based on survey data collected from potato farmers (n = 45) in 2024. The boxes represent the interquartile range (IQR)<b>,</b> with the lower edge indicating the 25th percentile (Q1) and the upper edge indicating the 75th percentile (Q3). The horizontal line within each box represents the median. The red line within each box represents the average for each group (G1, G2, or G3).</p>
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<p>Growth and chlorophyll content (SPAD value) of spring potatoes in three regional groups at the tuber bulking stage. The red line within each box represents the average for each group (G1, G2, or G3).</p>
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<p>Growth, yield components, and yield of spring potatoes in three regional groups at the harvest stage. The red line within each box represents the average for each group (G1, G2, or G3).</p>
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<p>Temperature trends across three regional groups from February to June 2024. (<b>A</b>) Monthly average temperatures. (<b>B</b>) Cumulative temperature profiles.</p>
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<p>Soil pH and electrical conductivity (EC) across three regional groups during tuber bulking (<b>A</b>) and harvest (<b>B</b>) stages. The red line within each box represents the average for each group (G1, G2, or G3).</p>
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<p>Distribution of major soil nutrients concentrations across three regional groups during the tuber bulking stage in 2024. The red line within each box represents the average for each group (G1, G2, or G3).</p>
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<p>Key components of potatoes harvested from three regional groups in 2024. The red line within each box represents the average for each group (G1, G2, or G3).</p>
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<p>Ascorbate (AsA) and glutathione (GSH) levels of potatoes harvested from three regional groups in 2024. The red line within each box represents the average for each group (G1, G2, or G3).</p>
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<p>Total phenol, flavonoid levels and DPPH radical scavenging activity (%) of potatoes harvested from three regional groups in 2024. The red line within each box represents the average for each group (G1, G2, or G3).</p>
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22 pages, 6045 KiB  
Article
Advancing County-Level Potato Cultivation Area Extraction: A Novel Approach Utilizing Multi-Source Remote Sensing Imagery and the Shapley Additive Explanations–Sequential Forward Selection–Random Forest Model
by Qiao Li, Xueliang Fu, Honghui Li and Hao Zhou
Agriculture 2025, 15(1), 92; https://doi.org/10.3390/agriculture15010092 - 3 Jan 2025
Viewed by 488
Abstract
Potato, a vital food and cash crop, necessitates precise identification and area estimation for effective planting planning, market regulation, and yield forecasting. However, extracting large-scale crop areas using satellite remote sensing is fraught with challenges, such as low spatial resolution, cloud interference, and [...] Read more.
Potato, a vital food and cash crop, necessitates precise identification and area estimation for effective planting planning, market regulation, and yield forecasting. However, extracting large-scale crop areas using satellite remote sensing is fraught with challenges, such as low spatial resolution, cloud interference, and revisit cycle limitations, impeding the creation of high-quality time–series datasets. In this study, we developed a high-resolution vegetation index time–series by calculating coordination coefficients and integrating reflectance data from Landsat-8, Landsat-9, and Sentinel-2 satellites. The vegetation index time–series were enhanced through using linear interpolation and Savitzky–Golay (S-G) filtering to reconstruct high-quality data. We employed the harmonic analysis of NDVI time–series (HANTS) method to extract features from the time–series and evaluated the classification accuracy across five feature sets: vegetation index time–series features, band means, vegetation index means, texture features, and color space features. The Random Forest (RF) model, utilizing the full feature set, emerged as the most accurate, achieving a precision rate of 0.97 and a kappa value of 0.94. We further refined the feature subset using the SHAP-SFS feature selection method, leading to the SHAP-SFS-RF classification approach for differentiating potato from non-potato crops. This approach enhanced accuracy by approximately 0.1 and kappa value by around 0.2 compared to the RF model, with the extracted areas closely aligning with statistical yearbook data. Our study successfully achieved the accurate extraction of potato planting areas at the county level, offering novel insights and methodologies for related research fields. Full article
(This article belongs to the Section Digital Agriculture)
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<p>Geographical positioning of the research region.</p>
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<p>Wuchuan County field potatoes in June, July, and August.</p>
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<p>The technical roadmap of this study.</p>
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<p>Time–series reconstruction roadmap.</p>
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<p>Comparison of satellite image reconstruction before and after (for example, on 30 June).</p>
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<p>Time–series curves of the original and reconstructed VIs. (<b>a</b>) NDVI time–series; (<b>b</b>) EVI time–series; (<b>c</b>) SAVI time–series; (<b>d</b>) RVI time–series; (<b>e</b>) MSAVI time–series; (<b>f</b>) GNDVI time–series.</p>
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<p>Confusion matrix for four models based on full features.</p>
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<p>The overall accuracy of the 5 input feature sets.</p>
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<p>Ranking of feature importance based on SHAP values (SHAP values are shown on the scale of 1 × 10<sup>−15</sup>).</p>
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<p>The correlation linking the model’s classification precision to the quantity of input features (red triangles represent the best feature dimensions).</p>
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<p>Spatial distribution map of potatoes in Wuchuan County.</p>
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22 pages, 12737 KiB  
Article
Potato Plant Variety Identification Study Based on Improved Swin Transformer
by Xue Xing, Chengzhong Liu, Junying Han, Quan Feng, Enfang Qi, Yaying Qu and Baixiong Ma
Agriculture 2025, 15(1), 87; https://doi.org/10.3390/agriculture15010087 - 2 Jan 2025
Viewed by 385
Abstract
Potato is one of the most important food crops in the world and occupies a crucial position in China’s agricultural development. Due to the large number of potato varieties and the phenomenon of variety mixing, the development of the potato industry is seriously [...] Read more.
Potato is one of the most important food crops in the world and occupies a crucial position in China’s agricultural development. Due to the large number of potato varieties and the phenomenon of variety mixing, the development of the potato industry is seriously affected. Therefore, accurate identification of potato varieties is a key link to promote the development of the potato industry. Deep learning technology is used to identify potato varieties with good accuracy, but there are relatively few related studies. Thus, this paper introduces an enhanced Swin Transformer classification model named MSR-SwinT (Multi-scale residual Swin Transformer). The model employs a multi-scale feature fusion module in place of patch partitioning and linear embedding. This approach effectively extracts features of various scales and enhances the model’s feature extraction capability. Additionally, the residual learning strategy is integrated into the Swin Transformer block, effectively addressing the issue of gradient disappearance and enabling the model to capture complex features more effectively. The model can better capture complex features. The enhanced MSR-SwinT model is validated using the potato plant dataset, demonstrating strong performance in potato plant image recognition with an accuracy of 94.64%. This represents an improvement of 3.02 percentage points compared to the original Swin Transformer model. Experimental evidence shows that the improved model performs better and generalizes better, providing a more effective solution for potato variety identification. Full article
(This article belongs to the Section Digital Agriculture)
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<p>Selected samples of potato plants, where (<b>a</b>–<b>d</b>) are blue background images and (<b>e</b>,<b>f</b>) are natural background images.</p>
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<p>Example of data preprocessing.</p>
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<p>Swin Transformer model structure.</p>
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<p>Patch Partition and Linear Embedding process.</p>
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<p>Patch Merging operation process.</p>
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<p>Swin Transformer Block structure.</p>
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<p>MSFF module structure.</p>
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<p>Residual structure.</p>
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<p>MSR-SwinT overall structure.</p>
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<p>Improved Swin Transformer Block.</p>
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<p>Training accuracy curves for different learning rates.</p>
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<p>MSR-SwinT model visualization results.</p>
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<p>Accuracy curve and loss curve of validation set of different models. (<b>a</b>) Accuracy curve, (<b>b</b>) Loss curve.</p>
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<p>Confusion matrix for different models.</p>
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20 pages, 11775 KiB  
Article
Mulching Practice Regulates the Soil Hydrothermal Regime to Improve Crop Productivity in the Rainfed Agroecosystem of the Loess Plateau in China
by Fanxiang Han, Yuanhong Zhang, Lei Chang, Yuwei Chai, Zhengyu Bao, Hongbo Cheng, Shouxi Chai, Fangguo Chang, Guohua Chang and Ruiqi Yang
Agriculture 2025, 15(1), 76; https://doi.org/10.3390/agriculture15010076 - 31 Dec 2024
Viewed by 462
Abstract
Mulching practices have demonstrated the potential to increase crop yields and resource utilization efficiency. However, the response of different crops with various growth stages to different mulching practices remains unclear, particularly in the rainfed agroecosystem. Therefore, a two-year field experiment (2013–2015) of different [...] Read more.
Mulching practices have demonstrated the potential to increase crop yields and resource utilization efficiency. However, the response of different crops with various growth stages to different mulching practices remains unclear, particularly in the rainfed agroecosystem. Therefore, a two-year field experiment (2013–2015) of different crops (wheat, maize, and potato) was conducted to evaluate the effects of three different mulching treatments: straw strip mulching (SM), plastic film mulching (PM), and conventional planting without mulching as the control (CK), on soil moisture and temperature, evapotranspiration (ET), water use efficiency (WUE), crop yield and economic benefits on the Loess Plateau. The results indicated that both mulching practices significantly increased the soil water content (SM: 4.3% and PM: 3.6%) compared to CK. However, the effects on soil temperature varied between mulching practices, PM increased soil temperature by 4.9% compared to CK, while SM decreased it by 6.3%. The improved soil hydrothermal conditions, characterized by favorable temperatures and higher soil water status would lead to a higher crop daily growth rate (5.3–49.8%), as well as greater dry matter accumulation (4.7–36.7%). Furthermore, mulching practice (SM and PM) has a significant influence on crop yield and its components of various crops, as well as WUE. The mean grain yield of SM and PM was, respectively, increased by 11.4% and 27.1% for winter wheat, compared to CK, 1.8% and 24.3% for spring maize, and 23.0% and 13.9% for potato, respectively. Compared to CK, PM yielded a higher net economic benefit and WUE for winter wheat and spring maize, while SM presented the best economic benefit and WUE for potato. In conclusion, a comprehensive analysis of crop yield, economic benefits, and resource utilization efficiency suggests that straw strip mulching for potato is a more sustainable environmentally friendly mulching practice, recommended for rainfed farming systems on the Loess Plateau and areas with similar climatic conditions. Full article
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<p>Schematic diagram of the different cropping systems, and the temperature and precipitation during the 2013–2015 growing seasons at Tongwei, China. SM, straw strip mulching; PM, plastic film mulching; CK, conventional planting without mulching.</p>
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<p>Yield and its components of different mulching practices during 2013–2015 growing seasons. SM, straw strip mulching; PM, plastic film mulching; CK, conventional planting without mulching. Different letters following the means represent significance at the 5% level (LSD). Error bar represents the standard error of mean (n = 3).</p>
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<p>Relationships between the crop yield and yield components of different crops. Note: * represents significance at <span class="html-italic">p</span> &lt; 0.05; *** represents significance at <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Dry matter accumulation and daily growth rate of different mulching practices during 2013–2015 growing seasons. SM, straw strip mulching; PM, plastic film mulching; CK, conventional planting without mulching; RV, reviving stage; JT, jointing stage; HA, heading stage; FL, flowering stage; GF, grain-filling stage; HV, harvest stage; SD, seeding stage; BF, big flare stage; SQ, squaring stage; TF, tuber formation stage; TB, tuber bulging stage; SA, starch accumulation stage.</p>
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<p>Dynamics of soil water content (%) in the 0–200 cm soil layer of different mulching practices during 2013–2015 growing seasons. SM, straw strip mulching; PM, plastic film mulching; CK, conventional planting without mulching; SW, sowing stage; WT, wintering stage; RV, reviving stage; JT, jointing stage; HA, heading stage; FL, flowering stage; GF, grain-filling stage; HV, harvest stage; SD, seeding stage; BF, big flare stage; SQ, squaring stage; TF, tuber formation stage; TB, tuber bulging stage; SA, starch accumulation stage.</p>
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<p>Soil water storage in the 0–200 cm soil layer under different mulching practices during 2013–2025. SM, straw strip mulching; PM, plastic film mulching; CK, conventional planting without mulching. The gray and pink areas represent the growing periods of winter wheat, spring maize or potato. Error bar represents the standard error of mean (n = 3).</p>
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<p>Dynamics of soil temperature (°C) in the 0–25 cm soil layer of different mulching practices during 2013–2015 growing seasons. SM, straw strip mulching; PM, plastic film mulching; CK, conventional planting without mulching; WT, wintering stage; RV, reviving stage; JT, jointing stage; HA, heading stage; FL, flowering stage; GF, grain-filling stage; HV, harvest stage; SD, seeding stage; BF, big flare stage; SQ, squaring stage; TF, tuber formation stage; TB, tuber bulging stage; SA, starch accumulation stage.</p>
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<p>Average soil temperature in the 0–25 cm soil layer under different mulching practices during 2013–2015. SM, straw strip mulching; PM, plastic film mulching; CK, conventional planting without mulching. The gray and pink areas represent the growing periods of winter wheat, spring maize or potato. Error bar represents the standard error of mean (n = 3).</p>
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<p>Evapotranspiration and water use efficiency of different mulching practices during 2013–2015 growing seasons. SM, straw strip mulching; PM, plastic film mulching; CK, conventional planting without mulching. Different letters following the means represent significance at the 5% level (LSD). Error bar represents the standard error of mean (n = 3).</p>
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<p>Performance of selected parameters for different cropping systems using radar chart. Note: SM, straw strip mulching; PM, plastic film mulching; CK, conventional planting without mulching; GY, grain yield; KPM, kernel number per square meter; KW, kernel weight; HI, harvest index; DGR, daily growth rate; TPP, tuber number per plant; STW, single tuber weight; FTY, fresh tuber yield; ET, evapotranspiration; WUE, water use efficiency; SWS, soil water storage; ST, soil temperature; OI, output–input ratio; NI, net income; TI, total income.</p>
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22 pages, 1042 KiB  
Article
Effects of Climatic Conditions and Agronomic Practices on Health, Tuber Yield, and Mineral Composition of Two Contrasting Potato Varieties Developed for High and Low Input Production Systems
by Gultekin Hasanaliyeva, Ourania Giannakopoulou, Juan Wang, Marcin Barański, Enas Khalid Sufar, Daryl Knutt, Jenny Gilroy, Peter Shotton, Halima Leifert, Dominika Średnicka-Tober, Ismail Cakmak, Levent Ozturk, Bingqiang Zhao, Per Ole Iversen, Nikolaos Volakakis, Paul Bilsborrow, Carlo Leifert and Leonidas Rempelos
Agronomy 2025, 15(1), 89; https://doi.org/10.3390/agronomy15010089 - 31 Dec 2024
Viewed by 465
Abstract
Modern potato varieties from high-input, conventional farming-focused breeding programs produce substantially (up to 45%) lower yields when grown in organic production systems, and this was shown to be primarily due to less efficient fertilization and late blight (Phytophthora infestans) control methods [...] Read more.
Modern potato varieties from high-input, conventional farming-focused breeding programs produce substantially (up to 45%) lower yields when grown in organic production systems, and this was shown to be primarily due to less efficient fertilization and late blight (Phytophthora infestans) control methods being used in organic farming. It has been hypothesized that the breeding of potato varieties suitable for the organic/low-input sector should (i) focus on increasing nutrient (especially N) use efficiency, (ii) introduce durable late blight resistance, and (iii) be based on selection under low-input conditions. To test this hypothesis, we used an existing long-term factorial field experiment (the NEFG trials) to assess the effect of crop management practices (rotation design, fertilization regime, and crop protection methods) used in conventional and organic farming systems on crop health, tuber yield, and mineral composition parameters in two potato varieties, Santé and Sarpo mira, that were developed in breeding programs for high and low-input farming systems, respectively. Results showed that, compared to Santé, the variety Sarpo mira was more resistant to foliar and tuber blight but more susceptible to potato scab (Streptomyces scabies) and produced higher yields and tubers with higher concentrations of nutritionally desirable mineral nutrients but lower concentrations of Cd. The study also found that, compared to the Cu-fungicides permitted for late blight control in organic production, application of synthetic chemical fungicides permitted and widely used in conventional production resulted in significantly lower late blight severity in Sante but not in Sarpo mira. Results from both ANOVA and redundancy analysis (RDA) indicate that the effects of climatic (precipitation, radiation, and temperature) and agronomic (fertilization and crop protection) explanatory variables on crop health and yield differed considerably between the two varieties. Specifically, the RDA identified crop protection as a significant driver for Santé but not Sarpo mira, while precipitation was the strongest driver for crop health and yield for Sarpo mira but not Santé. In contrast, the effect of climatic and agronomic drivers on tuber mineral and toxic metal concentrations in the two varieties was found to be similar. Our results support the hypothesis that selection of potato varieties under low agrochemical input conditions can deliver varieties that combine (i) late blight resistance/tolerance, (ii) nutrient use efficiency, and (iii) yield potential in organic farming systems. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
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<p>Bi-plot resulting from the RDA showing the associations between climate and agronomic explanatory variables/drivers and potato health and tuber yield response variables for the varieties Santé and Sarpo mira. Data included were from three growing seasons/years (2010, 2011, 2012). For the variety Santé, the horizontal axis 1 explains 31.7% of the variation and the vertical axis 2 a further 10.2%. For the variety Sapro mira, the horizontal axis 1 explains 24.4% of the variation and the vertical axis 2 a further 12.9%. NC, not computed. <b>Continuous explanatory variables (△): PRE</b>, precipitation; <b>RAD</b>, radiation; <b>TEMP</b>, temperature. <b>Fixed explanatory variables (▲): CP</b>, conventional crop protection; <b>OP</b>, organic crop protection; <b>CF</b>, conventional fertilization (mineral NPK); <b>OF</b>, organic fertilization (farmyard manure). <b>Response variables (<span style="color:#FF0000">▲</span>):</b> <span class="html-italic">fwy</span>, fresh weight yield, <span class="html-italic">dwy</span>, dry weight yield; <span class="html-italic">my+ST</span>, marketable fresh weight yield including tubers with scab; <span class="html-italic">my-ST</span>, marketable fresh weight yield excluding tubers with scab; <span class="html-italic">fb</span>, foliar blight (AUDPC); <span class="html-italic">tb</span>, % of tubers with tuber blight; <span class="html-italic">sc</span>, % of tubers with scab; <span class="html-italic">sl</span>, % of tubers with slug damage; gt, % of green tubers; ct, % cracked tubers.</p>
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<p>Bi-plot resulting from the RDA showing the associations between climate and agronomic explanatory variables/drivers and potato health and tuber yield response variables for the varieties Santé and Sarpo mira. Data included were from three growing seasons/years (2010, 2011, 2012). For the variety Santé, the horizontal axis 1 explains 34.7% of the variation and vertical axis 2 a further 10.0%. For the variety Sapro mira, horizontal axis 1 explains 25.6% of the variation and vertical axis 2 a further 8.0%. NC, not computed. <b>Continuous explanatory variables (△): PRE</b>, precipitation; <b>RAD</b>, radiation; <b>TEMP</b>, temperature. <b>Fixed explanatory variables (▲): CP</b>, conventional crop protection; <b>OP</b>, organic crop protection; <b>CF</b>, conventional fertilization (mineral NPK); <b>OF,</b> organic fertilization (farmyard manure). <b>Response variables (<span style="color:#FF0000">▲</span>): <span class="html-italic">Macronutrients</span>:</b> <span class="html-italic">N</span>, nitrogen; <span class="html-italic">P</span>, phosphorus; <span class="html-italic">K</span>, potassium; <span class="html-italic">S</span>, sulfur; <span class="html-italic">Ca</span>, calcium; <span class="html-italic">Mg</span>, magnesium. <b><span class="html-italic">Micronutrients</span>:</b> <span class="html-italic">B</span>, boron; <span class="html-italic">Cu</span>, copper; <span class="html-italic">Fe</span>, iron; <span class="html-italic">Zn</span>, zinc; <b><span class="html-italic">Toxic metals</span>:</b> <span class="html-italic">Al</span>, aluminum; <span class="html-italic">Cd</span>, cadmium; <span class="html-italic">Ni</span>, nickel; <span class="html-italic">Pb</span>, lead.</p>
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22 pages, 2151 KiB  
Article
Growth, Yield, and Water Productivity of Potato Genotypes Under Supplemental and Non-Supplemental Irrigation in Semi-Arid Areas of Northern Ethiopia
by Niguse Abebe Misgina, Hussien Mohammed Beshir, Derbew Belew Yohannes and Gebre Hadgu Gebreyohanes
Agronomy 2025, 15(1), 72; https://doi.org/10.3390/agronomy15010072 - 30 Dec 2024
Viewed by 655
Abstract
Potato is the dominant tuber and root crop grown in Tigray. However, the productivity is very low due to moisture stress, traditional production techniques, and low-yielding varieties. Hence, this study aimed to optimize potato yield by selecting suitable genotypes under both supplemental and [...] Read more.
Potato is the dominant tuber and root crop grown in Tigray. However, the productivity is very low due to moisture stress, traditional production techniques, and low-yielding varieties. Hence, this study aimed to optimize potato yield by selecting suitable genotypes under both supplemental and non-supplemental irrigation conditions. The study involved five potato genotypes and two irrigation levels used as treatments arranged in a split plot using a randomized complete block design with three replications. Results revealed a significant difference in days to flowering and maturity, marketable and total tuber yield, and water productivity due to the main and interaction effect of genotype and irrigation. CIP-3960478.90 recorded significantly higher marketable yield (27.13 t ha−1), total tuber yield (28.71 t ha−1), and water productivity (7.59 kg m−3) under supplemental irrigation. Genotype CIP-394611.112 had achieved high marketable yield (24.45 t/ha), total yield (25.60 t/ha) and total water productivity (8.51 kg m−3) under non-irrigated treatment. Additionally, the potato water requirements in September and October exceeded the rainfall amounts, suggesting that supplemental irrigation is necessary during this period for optimal yields. Likewise, genotypes CIP-394611.112 and CIP-3960478.90, are recommended for semi-arid areas to enhance tuber yield with or without irrigation. Full article
(This article belongs to the Section Water Use and Irrigation)
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<p>The Study areas of Aynalem and Elalla experimental sites (from the present study).</p>
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<p>Long-term (1992–2019) monthly rainfall, maximum and minimum temperature of (<b>A</b>) Mekelle, Elalla site and (<b>B</b>) Kilte Awlaelo, Aynalem site under rainfall conditions. Note: Rainfall amount and temperature are plotted on the left and right sides of the Y-axis, respectively, and the months are plotted on the X-axis.</p>
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<p>Decadal seasonal reference evapotranspiration (ETo), crop coefficient (Kc), effective rainfall (Pe), and supplement irrigation needs (SIR) estimated for potato using long-term mean climate inputs, used for planning purposes under rainfall conditions (1992–2019). Note: I, II, and III are 1st, 2nd and 3rd decades (10 days) of a month. Note: The Y-axis is the ETo, Pe, SIR and Kc value of the months on the left and right side of Y, respectively, and the X-axis is the months.</p>
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<p>Monthly rainfall, mean maximum and minimum temperature of the study areas Mekelle, Elalla site (<b>A</b>) and Kilte Awlaelo, Aynalem site (<b>B</b>) in 2019 and 2020 growing season under rainfall conditions. <b>Note:</b> Rainfall amount and temperature are plotted on the Y-axis, and the months in the growing season are plotted on the X-axis.</p>
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<p>Tuber yield increases (kg/ha) due to supplement irrigation. Note: The Y-axis is the yield increment value (left) and irrigation amount applied (right) of the genotypes, and the X-axis is the genotypes.</p>
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<p>Effect of genotype on harvest index. Graph with the same color level with different letters showed significant differences in harvest index among genotypes at (<span class="html-italic">p</span> &lt; 0.001) and between irrigation levels at <span class="html-italic">p</span> ≤ 0.05, but the similar letter had no significant difference. Note: The Y-axis is the harvest index value of the genotype and irrigation, and X-axis is the genotypes and irrigation level.</p>
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<p>The main effect of genotype on irrigation water productivity (IWP). The graph with the same color and different letters shows significant differences in irrigation water productivity among genotypes at <span class="html-italic">p</span> ≤ 0.05; however, the same letter indicates no significant difference. Note: The Y-axis is the water productivity value of the genotype and the X-axis is the genotype.</p>
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15 pages, 16732 KiB  
Article
Effects on Soil Aggregates and Organic Carbon Under a Triple-Cropping System in the Middle Reaches of the Yangtze River
by Binjuan Yang, Qin Liu, Ning Liu, Yao Huang and Guoqin Huang
Agronomy 2025, 15(1), 46; https://doi.org/10.3390/agronomy15010046 - 27 Dec 2024
Viewed by 414
Abstract
Soil aggregate stability is an important factor that impacts ecological restoration and soil erosion. Soil organic carbon (SOC) is also an important factor affecting soil characteristics and quality. The triple-cropping system has the potential to enhance soil aggregate stability by promoting a more [...] Read more.
Soil aggregate stability is an important factor that impacts ecological restoration and soil erosion. Soil organic carbon (SOC) is also an important factor affecting soil characteristics and quality. The triple-cropping system has the potential to enhance soil aggregate stability by promoting a more diverse and continuous plant cover, which could lead to improved soil structure and resistance to erosion. Over two consecutive years, this study was conducted to explore the impacts of the triple-cropping system on soil aggregate stability, soil carbon pool, and carbon sequestration characteristics in the middle reaches of the Yangtze River. This study set up five planting modes, namely milkvetch–early rice–late rice (CRR, CK), milkvetch–early rice–sweet potato||soybean (CRI), rape–early rice–late rice (RRR), rape–early rice–sweet potato||soybean (RRI) and potato–early rice–late rice (PRR). The contribution of soil aggregates > 2 mm under CRI increased by 20.77%, 6.71%, and 2.19% to the control in winter cropping and early and late rice harvesting periods, respectively. During the winter harvest period, the geometric mean diameter (GMD) and mean weight diameter (MWD) of the CRI treatment were significantly higher than other treatments (p < 0.05), with increases of 7.53–16.28% and 4.67–10.28% respectively. After the late rice harvest, the GMD values of the CRI and PRR treatments were significantly higher than the control treatment by 13.56%, and the MWD values were higher than those of other treatments by 4.24–13.17%, 3.74–12.63% (p < 0.05). Furthermore, CRI also improved the GMD and MWD of soil aggregates, and the stability of soil aggregates was improved by winter milkvetch (treatment of CRI) and paddy-upland multi-crop models (treatment of PRR). RRR treatment was beneficial to the accumulation of soil organic carbon and slowed the loss of soil organic carbon. Irrigation and drought multiple cropping can effectively increase the content of soil active organic carbon, among which the treatment of CRI had the best performance and the most significant effect in increasing the content of soil active organic carbon. After the late rice harvest, the soil’s active organic carbon content in the CRI treatment was the highest, which was significantly different from the control treatment and increased by 35.62% compared with the control (p < 0.05). Compared with before planting, the soil microbial biomass carbon content in each treatment increased by 12.07–27.59% after the late rice harvest. The soil-dissolved organic carbon content in CRI treatment was the highest, which was significantly higher than CK treatment, RRR, and PRR, with an increase of 46.88%, 42.42%, and 30.56%, respectively (p < 0.05). In addition, the accumulation of soil microbial biomass carbon, soil dissolved organic carbon content, and soil easily oxidized organic carbon content was promoted by multi-cropping in rice fields, and the increase from CRI and RRI treatment was more significant. In conclusion, in the triple-cropping area of paddy fields in the middle reaches of the Yangtze River, the milkvetch–early rice–sweet potato||late soybean and rape–early rice–sweet potato||late soybean models are conducive to the optimal management of the soil carbon pool and carbon sequestration. These models can improve the multiple cropping index, reduce costs, and increase revenue. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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<p>Effect of different cropping systems on distribution of soil aggregates during the maturation phase of winter crops (2022). Note: The data presented are the average values and standard deviation of three repetitions. Different lower case letters indicate significant differences between treatments at the 5% level (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different cropping systems on distribution of soil aggregates in early rice mature stage (2022). Different lower case letters indicate significant differences between treatments at the 5% level (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different cropping systems on distribution of soil aggregates in late rice mature stage (2022). Different lower case letters indicate significant differences between treatments at the 5% level (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different cropping systems on stability of soil aggregates (2022). Different lower case letters indicate significant differences between treatments at the 5% level (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different cropping systems on soil total organic carbon (2022). Different lower case letters indicate significant differences between treatments at the 5% level (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different cropping systems on soil active organic carbon (2022). Different lower case letters indicate significant differences between treatments at the 5% level (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different cropping systems on soil microbial biomass carbon (2022). Different lower case letters indicate significant differences between treatments at the 5% level (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different cropping systems on soil dissolved organic carbon (2022). Different lower case letters indicate significant differences between treatments at the 5% level (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different cropping systems on soil readily oxidizable organic carbon (2022). Different letters meant significant difference among treatments at 0.05 level.</p>
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20 pages, 605 KiB  
Article
Integrated Pest Management of Wireworms in Potatoes: Use of Tolerant Varieties to Implement Damage Prevention
by Furlan Lorenzo, Bona Stefano, Benvegnù Isadora, Cacitti Valentina, Govoni Fausto and Parisi Bruno
Insects 2025, 16(1), 4; https://doi.org/10.3390/insects16010004 - 26 Dec 2024
Viewed by 523
Abstract
Wireworms (Agriotes spp., Coleoptera, Elateridae) are a major threat to potatoes, as are the current commercial standards for assessing potato damage. To reduce wireworm impacts on potato crops and comply with IPM legislation, we started research to assess the potential for new [...] Read more.
Wireworms (Agriotes spp., Coleoptera, Elateridae) are a major threat to potatoes, as are the current commercial standards for assessing potato damage. To reduce wireworm impacts on potato crops and comply with IPM legislation, we started research to assess the potential for new Italian 4x-breeding clones to reduce wireworm feeding on daughter tubers. Two sets of trials were carried out over a six-year period (2018–2023): in-field and in semi-natural conditions, with pots used to introduce a set number of reared wireworms. In the field trials, the varieties were planted in 4.8 × 9–12 m plots in a randomized-block layout with at least three replications. The same wireworm damage assessment was used for both sets of trials. The assessment involved counting all the erosions/scars caused by wireworm feeding activity. The prevalent wireworm species studied was Agriotes sordidus. Both sets of trials showed that some 4x-breeding clones were tolerant to wireworm attacks. The percentages of tubers damaged (any symptom) or with at least one ordinary/large hole was up to five times lower than in the commercial varieties. Glycoalkaloids and the caffeic acid content in tubers are considered to be the main cause of lower appetibility to wireworms. Full article
(This article belongs to the Section Insect Pest and Vector Management)
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<p>Temperature patterns during pot trials. Green vertical lines indicate pot preparation and the end of the trial.</p>
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