Search Results (193)

Pine wilt disease, transmitted primarily by Monochamus alternatus (Hope, 1842) adults, causes severe ecological and economic losses globally. Conventional chemical controls face challenges of resistance and non-target toxicity. This study identified Beauveria bassiana (Bals.-Criv.) Vuill. strain B4 as a high-virulence biocontrol agent against adult M. alternatus. Laboratory bioassays compared four strains (B1–B4), with B4 exhibiting rapid lethality (LT₅₀ = 6.61 days at 1 × 10⁸ spores/mL) and low median lethal concentration (LC₅₀ = 9.63 × 10⁵ spores/mL). Critically, B4 infection induced significant behavioral suppression, including reduced appetite and mobility prior to death. In forest trials, pheromone-enhanced nonwoven fabric bags impregnated with B4 spores reduced trap catches by 66.4% within one month, with effects persisting for over a year without reapplication. The slow-release carrier system enabled continuous spore dissemination and sustained population suppression. These results demonstrate that B4’s dual action—rapid lethality and behavioral disruption—provides an effective, eco-friendly strategy for sustainable pine wilt disease management. Full article

Ensiling high-moisture alfalfa with peanut vine not only avoids alfalfa nutrient loss during the wilting stage but also maximizes the use of agricultural waste peanut vine. The appropriate mixed ratio of high-moisture alfalfa and peanut vine has been studied in our previous study. However, the effect of additives on improving the nutrition and fermentation quality of the mixed silage of alfalfa and peanut vine has not been investigated. This study aimed to assess the adaptation and association of Lactiplantibacillus plantarum, cellulase and tannin in the mixed silage of alfalfa and peanut vine alone or in combination on fermentation quality, chemical composition, and microbial communities. The harvested fresh alfalfa and dry peanut vine were cut into 2 cm lengths by a crop chopper and they were thoroughly mixed at a ratio of 7:3. The mixtures were treated with no addition (CK), L. plantarum (Lp, 1 × 10⁶ CFU/g fresh weight), cellulase (Ce, 5 g/kg fresh weight), tannin (Ta, 40 g/kg dry matter), and their combinations (LpCe, LpTa, CeTa, LpCeTa). After 45 days of fermentation, silage treated with Lp, Ce, and Ta had lower pH and ammonia-N (NH₃-N) content and higher concentrations of lactic acid compared with the CK group. LpCeTa-treated silage inhibited protein degradation by reducing pH value and ammonia-N concentrations during ensiling processes. The LpCeTa group increased (p < 0.05) water-soluble carbohydrate (WSC) content and reduced (p < 0.05) acid detergent fiber and neutral detergent fiber contents in mixed silage. Furthermore, the LpCeTa group increased the relative abundance of Lactobacillus and decreased the relative abundance of Enterococcus and Weissella as compared with the CK group. Results of the current study indicated that the combined use of L. plantarum, cellulase, and tannin could serve as a promising strategy for the preservation of ensiling fresh alfalfa mixed with peanut vine and provide a reference for the re-utilization of by-product. Full article

Pine wilt disease, which is induced by pine wood nematode (PWN, Bursaphelenchus xylophilus), has caused huge economic and ecological losses. To overcome the drawbacks of chemical control against PWN, twenty compounds were screened, and a synergistic botanical–chemical combination was identified. A proportion of abamectin to rotenone of 7:3 (5.73 and 1.78 mg/L, respectively) achieved the highest co-toxicity coefficient of 231.09 with a median lethal concentration of 3.18 mg/L. It revealed 0% mortality in Pinus massoniana seedlings at 60 days post-treatment when applied at 400 times the synergistic concentration (2.29 g/L abamectin + 0.71 g/L rotenone) at 7 days after PWN inoculation. Furthermore, the synergistic combination significantly affected the physiological activity and population dynamics of PWN. Female oviposition was reduced by 71.92%, the egg hatching rates declined to 13.09 ± 0.02%, and head thrashing frequency was inhibited by 99.23 ± 0.01%. The enzymatic activities of peroxidase, acetylcholinesterase, succinate dehydrogenase, and glutathione S-transferase were significantly increased, while the population size declined by 96.17%. Transcriptomic and gene expression analyses suggested a potential “Na⁺/Ca²⁺/Cl⁻ ionic storm,” since the synergistic combination significantly activated genes associated with voltage-gated calcium channels, glutamate-gated chloride channels, and amiloride-sensitive sodium channels. These findings provide an eco-friendly strategy for PWN management via chemical control. Full article

Verticillium wilt is characterized by chlorosis in leaves and is a devastating disease in eggplant. Early diagnosis, prior to the manifestation of symptoms, enables targeted management of the disease. In this study, we aim to detect early leaf wilt in eggplant leaves caused by Verticillium dahliae by integrating multispectral imaging with machine learning and deep learning techniques. Multispectral and chlorophyll fluorescence images were collected from leaves of the inbred eggplant line 11-435, including data on image texture, spectral reflectance, and chlorophyll fluorescence. Subsequently, we established a multispectral data model, fusion information model, and multispectral image–information fusion model. The multispectral image–information fusion model, integrated with a two-dimensional convolutional neural network (2D-CNN), demonstrated optimal performance in classifying early-stage Verticillium wilt infection, achieving a test accuracy of 99.37%. Additionally, transfer learning enabled us to diagnose early leaf wilt in another eggplant variety, the inbred line 14-345, with an accuracy of 84.54 ± 1.82%. Compared to traditional methods that rely on visible symptom observation and typically require about 10 days to confirm infection, this study achieved early detection of Verticillium wilt as soon as the third day post-inoculation. These findings underscore the potential of the fusion model as a valuable tool for the early detection of pre-symptomatic states in infected plants, thereby offering theoretical support for in-field detection of eggplant health. Full article

Fusarium wilt, caused by Fusarium solani, is a devastating disease that leads to significant losses in ginger (Zingiber officinale) crops worldwide. To explore the molecular mechanisms underlying F. solani infection and disease progression, we performed a comparative transcriptome analysis of ginger rhizomes during storage, comparing inoculated and non-inoculated samples. A total of 647 and 6398 DEGs were identified in the 1.5- and 2-day infection groups, respectively. KEGG analysis revealed that most DEGs were enriched in the plant–pathogen interaction pathway, with both PTI and ETI being activated. Six DEGs in this pathway were validated by qRT-PCR at two time points, showing a strong correlation with FPKM values from the transcriptome data. Furthermore, transient expression analysis in Nicotiana benthamiana leaves demonstrated that overexpressing ZoCEBiP1 helped scavenge excess ROS, thereby reducing disease severity. Transcriptional profiling of DEGs in the plant–pathogen interaction pathway revealed significant changes in genes involved in ROS and NO metabolism. In F. solani-infected ginger rhizomes, levels of H₂O₂ and O₂⁻ were elevated, along with increased activities of antioxidant enzymes (POD, CAT, SOD, and APX) and higher NO content and NOS activity. These findings elucidated the early defense response of ginger rhizomes to F. solani infection and provided insights for developing effective strategies to manage fungal diseases. Full article

The aim of this study was to explore the effects of different lactic acid bacteria additives (Lactiplantibacillus plantarum or Lentilactobacillus buchneri) on the fermentation quality, chemical composition, in vitro digestibility, bacterial community structure, and predictive function of S. perfoliatum silage feed. Fresh S. perfoliatum was wilted overnight, then its moisture content was adjusted between 65 and 70%. The experiment was performed in three groups as follows: (1) the control group (CK group), which lacked a Lactobacillus preparation; (2) the Lactiplantibacillus plantarum (L. plantarum) group (LP group), which was inoculated with L. plantarum at 5 × 10⁶ cfu/g FW; and (3) the Lentilactobacillus buchneri (L. buchneri) group (LB group), which was inoculated with L. buchneri at 5 × 10⁶ cfu/g FW. The results showed that L. plantarum significantly reduced pH and increased lactic acid (LA) content in S. perfoliatum silage compared with the control. L. buchneri, on the other hand, excelled in reducing ammonia nitrogen (NH₃-N) content and significantly increased acetic acid (AA) content. At 60 days of fermentation, the CP content was significantly higher (p < 0.05) in the LP and LB groups than in the CK group (19.29 vs. 15.53 and 15.87). At 60 days of fermentation, the ivCPD was significantly higher (p < 0.05) in the LB group than in the CK and LP groups (57.80 vs. 54.77 and 55.77). The 60-day silage process completely altered the bacterial community of S. perfoliatum silage. In the fresh samples, the dominant genera were Weissella_A and Pantoea_A. Weissella_A and Pantoea_A were gradually replaced by Lentilactobacillus and Lactiplantibacillus after S. perfoliatum ensiling. After 45 days of fermentation, L. buchneri became the dominant strain in CK, LP and LB groups. Inoculation with L. plantarum altered the succession of the bacterial community from 7 to 15 days of fermentation of S. perfoliatum. In contrast, inoculation with L. buchneri affected the succession of the bacterial community from 30 to 60 days of S. perfoliatum fermentation. In S. perfoliatum silage aged 7 to 60 days, the amino acid metabolic pathway in the LB group remained upregulated. The experimental results revealed that inoculation with L. buchneri had a stronger effect on S. perfoliatum silage than inoculation with L. plantarum. Thus, L. buchneri should be selected as an additive for S. perfoliatum silage fermentation in practical production. Full article

Olive trees are generally considered a species well-adapted to drought, but the impact of water shortage is of critical importance on olive production. For this reason, developing tolerant cultivars could be an effective strategy to mitigate the impact of drought in the future. Characterizing drought stress tolerance in olive is a complex task due to the numerous traits involved in this response. In this study, plant growth, pressure–volume curves, gas-exchange and chlorophyll fluorescence traits, and stomata characteristics were monitored in nine cultivars to assess the effects of mild and severe drought stress conditions induced by withholding water for 7 and 21 days, respectively, and were compared to a well-watered control treatment. The plant materials evaluated included traditional cultivars, as well as new developed cultivars suited for high-density hedgerow olive orchards or resistant to verticillium wilt. Significant differences between cultivars were observed for most evaluated traits, with more pronounced differences under severe drought conditions. A multivariate analysis of the complete dataset recorded throughout the evaluation period allowed for the identification of promising cultivars under stress conditions (‘Sikitita’, ‘Sikitita-2’, and ‘Martina’) as well as highly discriminative traits that could serve as key selection parameters in future breeding programs. Full article

Watermelon (Citrullus lanatus), a vital economic crop, is severely threatened by Fusarium wilt (FW), which is caused by the soil-borne fungal pathogen Fusarium oxysporum f. sp. niveum (Fon). To elucidate the molecular mechanisms underlying FW resistance in watermelon, we tracked the infection process via microscopy, identifying three critical time points (1, 6, and 8 days post-inoculation) corresponding to spore germination, hyphal invasion of the xylem vascular system, and symptom onset, respectively. Transcriptional profiling at these stages revealed six disease-resistance-associated gene modules through differential expression analysis, expression pattern clustering, weighted gene co-expression network analysis, and functional enrichment. These modules exhibited strong correlations with distinct infection phases. Protein–protein interaction networks identified 35 hub genes, including receptor-like kinases; WRKY and ethylene-responsive factor transcription factors; and genes involved in cell wall reinforcement, hormone signaling, defense metabolism/detoxification, programmed cell death regulation, and antimicrobial compound biosynthesis. Differential expressions of these genes across infection stages likely underpin the observed phenotypic disparities. Five hub regulatory genes were identified by quantitative real-time PCR in the SRgreen and SRblack modules, namely, Cla97C01G014990 (WRKY transcription factor 42), Cla97C02G042360 (calcium-transporting ATPase), Cla97C08G155710 (AIG2), Cla97C09G170380 (ethylene-responsive factor 1B-like), and Cla97C06G121810 (receptor kinase, putative). These genes mediate early rapid defense responses via SRgreen and sustain long-term resistance through SRblack. By validating the expression patterns of hub genes, the study elucidated the watermelon resistance response and provided insights into transcriptional regulation during different stages of Fon–watermelon interactions. Additionally, it identified candidate genes that could enhance watermelon resistance to wilt disease. Full article

Fusarium wilt in bitter gourd caused by Fusarium oxysporum f. sp. momordicae (Fomo) is a severe plant disease that affects the world’s bitter gourd (Momordica charantia L.) cultivation. This study evaluated nine luffa hybrids for their performance as rootstocks with bitter gourd to control Fusarium oxysporum f. sp. luffae (Folu) isolate Fomh16 and Fomo isolate Fomo33. In the first evaluation, five hybrids (LF1, LF2, LF3, LF15, and LF16) exhibited resistance to the Fomh16 isolate and showed no symptoms. One hybrid, LF10, was resistant with a mean disease rating (MDR) of 0.9 at 28 days post-inoculation (dpi). Seven luff hybrids that displayed resistant and moderate resistance in the first evaluation were used as rootstocks with susceptible bitter gourd cultivars. Five rootstocks exhibited high resistance to Fomh16 and Fomo33 isolates, with their MDR ranging from 0.0 to 0.7. In addition, the findings revealed that both isolates could colonize the vascular bundle of all resistant luffa rootstocks at 28 dpi. However, the Fomo33 isolate could extend and colonize the vascular bundle of bitter gourd scion when grafted only with rootstock LF5 and LF11. The quantitative PCR results indicated that there were significant differences in the amount of the Fomo33 DNA between the bitter gourd grafted onto LF15 and LF16 rootstocks and the self-grafted plants; however, the pathogen cannot be detected in the bitter gourd scions grafted with resistant rootstocks. These findings provide valuable resistant sources that can be used as rootstocks to manage Fusarium wilt disease in bitter gourd. Full article

Understanding how woody plants cope with severe water shortages is critical, especially for regions where droughts are becoming more frequent and intense. We studied the effects of drought intensity, focusing on post-drought resprouting, autumn leaf senescence and the subsequent spring bud burst. Furthermore, we aimed to study population differentiation in the drought and post-drought responses. We performed a summer dry-out experiment in a common garden of potted Prunus spinosa L. (Rosaceae) saplings. We analysed responses across different visual stress symptom categories and examined differentiation between provenances from a local origin (Western Europe, Belgium), a lower latitude (Spain) and a higher latitude (Sweden). The chance of post-drought resprouting was greater for the more severely affected plants than for the less severely affected ones, and it occurred earlier. The plants that displayed wilting of the leaves during the drought had a leaf senescence 2.7 days earlier than the controls, whereas that of plants with 25 to 75% and more than 75% of desiccated leaves was 7 and 15 days later, respectively. During the drought, the local provenance was the first to develop visual symptoms compared to the other two provenances. However, among plants that exhibited no or only mild symptoms, this provenance also had a higher likelihood of post-drought resprouting. Among the control plants, the higher-latitude provenance displayed leaf senescence earlier, while the lower-latitude provenance senesced later compared to the local provenance. However, these differences in the timing of leaf senescence among the three provenances disappeared in treated plants with more than 25% of desiccated leaves due to the drought. Whereas leaf senescence could be earlier or later depending on the developed drought symptoms, the timing of bud burst was only delayed. Results indicate that resprouting and timing of leaf senescence are responsive to the severity of the experienced drought in a provenance-dependent way. Full article

Alternaria species produce diverse secondary metabolites that act as critical virulence factors during plant pathogenesis. In cultivation areas of Chrysanthemum morifolium ‘Fubai’—a key cultivar for herbal tea—black spot disease caused by A. alternata manifests as necrotic leaf lesions progressing to wilting. Despite this disease’s economic impact, information on its associated toxins is limited, and the types of toxins produced by the black spot pathogen of Chrysanthemum morifolium ‘Fubai’ in particular remain unclear. Furthermore, whether toxins are present in the flowers when the leaves show symptoms is uncertain, but their inflorescence is not visibly infected. Using two previously characterized A. alternata strains (F16/F20) isolated from ‘Fubai’ in earlier studies, we demonstrated the concomitant production of altenuene (ALT) and tenuazonic acid (TeA) in both strains, with strain-specific yield variations (F20 TeA: 342.16 µg/mL vs. F16: 21.84 µg/mL; ALT: 0.28 µg/mL vs. 0.90 µg/mL). Time-course monitoring revealed coordinated accumulation of both toxins in inoculated petals, reaching 18.07 μg/g ALT and 2.59 µg/g TeA by day 9. Notably, these two toxins were detected only in flower samples from black spot-infected plants, and their concentrations correlated closely with disease severity in the leaves. Moreover, although the inflorescences did not display symptoms, both fresh and dried flowers retained detectable toxin levels. We established a technical system for the extraction and quantitative detection of the toxins ALT and TeA produced by the black spot pathogen in tea chrysanthemum. This work provides the first confirmation of ALT/TeA co-contamination in Chrysanthemum morifolium ‘Fubai’, revealing substantial dietary exposure risks through tea consumption. Our findings suggest that, from a food safety risk reduction perspective, integrated management strategies should be developed to minimize toxin contamination in tea chrysanthemum, including improved disease prevention measures and potential regulatory considerations. Full article

Soil-borne pathogens can severely reduce vegetable crop output and quality. A disease complex may develop when many soil-borne pathogens attack a crop simultaneously, which can cause more damage. The soil-borne fungus Fusarium oxysporum (Fo) and the nematode Meloidogyne incognita (Mi) significantly reduce global tomato (Solanum lycopersicum L.) yields. After a soil-borne pathogenic infection, plants undergo numerous changes. Therefore, we conducted the present study to examine the impact of soil-borne pathogens Fo and Mi on the growth, physiology, biochemical, and root morphology of tomato cultivars Zhongza 09 (ZZ09) and Gailiang Maofen 802 (GLMFA and GLMFB) at 10, 20, and 30 days after-inoculation (DAI). The present study revealed that combined infections adversely damaged plant growth, photosynthetic pigmentation, gas exchange, biochemistry, and root morphology. The plant growth reduction in GLMFA and GLMFB was greater than in ZZ09. The chlorophyll content and photosynthetic indices declined dramatically; however, ZZ09 declined less than GLMFA and GLMFB plants. In GLMFA and GLMFB plants, the combined infection of Fo and Mi lowered plant-defense-related antioxidant activity compared to their single infection or control. ZZ09’s antioxidants were greatly up-regulated, indicating pathogen tolerance. ZZ09 had significantly lower gall and wilt disease indices than GLMFA and GLMFB. Moreover, the microscopic examination of roots showed that Fo and Mi infection damaged GLMFA and GLMFB more than ZZ09 plants. Thus, combined infection induced severe root damage, reduced plant growth, reduced antioxidants, and increased reactive oxygen species (ROS) production compared to single inoculation. However, the ZZ09 cultivar exhibited significantly stronger tolerance to combined infection. Full article

Recent years have seen significant technological advancements in precision farming and plant phenotyping. Remote sensing along with deep learning (DL) techniques can increase phenotyping efficiency and help on-farm decision making with rapid stress detection. In this work, we use these techniques to evaluate drought stress in soybean plants, a crop whose yield is significantly affected by water availability. Images were taken from a high vantage in the field at various times throughout the day. Each image is given a wilting score ranging from 0 to 4 by expert scorers. We implement a DL method called multiple instance learning (MIL) to perform wilt classification as well as generate heat maps that highlight wilt levels in specific regions of the image. Given the significant overlap between adjacent classes in our dataset, we were able to achieve an overall classification accuracy of 64% and a one-off accuracy of 96% on our holdout test set. Our model outperformed DenseNet121 in most metrics, and provided comparable performance to a vision transformer (ViT) while having fewer parameters overall, less complexity (useful for edge implementations), and some interpretability. Furthermore, we were able to show that our model outperformed expert human annotators by predicting more consistent and accurate wilt levels when considering single-image re-annotation. The results show that our proposed methodology can be a useful approach in detecting drought stress in soybean fields to facilitate efficient crop management and aid selection of drought-resilient varieties. Full article

Guar is a legume cultivated for its high seed galactomannan content. India is the major guar producer globally and the U.S. has the largest guar market worldwide. Guar is drought-tolerant and suitable as a summer rotational crop in dryland farming systems. Studies have shown correlations between carbon δ13 isotope (C13) discrimination and water-use efficiency in other crops. The objective of this study was to assess the variation in carbon δ13 isotope discrimination among 30 guar accessions. Accessions were grown under greenhouse conditions in 3.79 L pots, including drought-stressed and well-watered treatments. For each accession, beginning at the V5–V8 growth stage, one pot was continuously irrigated, whereas irrigation was withheld from the other until wilting symptoms appeared after 50 days. Each treatment pair (well-watered/drought-stressed) was organized in a completely randomized design with three replications. Aboveground fresh and dry biomass data were collected, and the dry leaves were used for C13 isotope analysis. The results showed an increase in leaf C13 under drought stress. There were no differences among genotypes in C13 for well-watered plants (p = 0.63), but drought-stressed plants differed (p < 0.001). Significant positive correlations were identified between C13 under drought stress and the fresh (r = 0.70) and dry biomass (r = 0.68) of drought-stressed plants. These results demonstrate that C13 has potential as a criterion to identify drought-tolerant guar lines. Full article

The study aimed to examine the changes in winter oilseed rape (Brassica napus L.) under simulated prolonged drought and to assess the effects of a microbial biostimulant ProbioHumus and calcium, individually and in combination, in order to improve the plant’s drought resistance and to identify the biochemical processes occurring in the plant tissues. The oilseed rape cv. ‘Visby’ was grown under controlled laboratory conditions. CaCO₃ (hereafter, Ca) (3.71 g) was added to the soil of one pot at 70 g m⁻². Seedlings at the 3–4 leaf stage were sprayed with ProbioHumus 2 mL 100 mL⁻¹ and exposed to drought for 8 days to achieve a high water deficit. Irrigation was then resumed, and recovery was assessed after 4 days. The data showed that the microbial biostimulant alleviated the physiological and biochemical response of oilseed rape to drought stress. ProbioHumus + Ca reduced plant wilting by increasing leaf relative water content (RWC) by 87% and induced drought tolerance by increasing endogenous proline content 4-fold, increasing photosynthetic pigment content in leaves by 10–28%, reducing H₂O₂ by 53% and malondialdehyde (MDA) by 45%, and stimulating stomata opening (by 2-fold on the upper and 1.4-fold in the lower leaf surface), vs. drought control. The most effective measure to increase plant survival and/or resume growth after drought was the application of a microbial biostimulant with additional calcium to the soil. The practical implications of this research point to the potential benefits of applying these ecological measures under field conditions. Full article