Healthy Trees Research Articles

Early detection of heartwood rot caused by Fistulina hepatica in Castanea sativa productive coppices through low-invasive resistance drilling

AbstractChestnut Red Stain (CRS) is a heartwood discoloration that widely affects Castanea sativa Mill. productive coppice stands in the northeast of Spain. At the early stages of infection, the structural properties of the wood are not affected, but still its economic value drops up to 70% due to the rejection of this wood. This disease is caused by the fungus Fistulina hepatica (Schaeff.) With. and causes uncertainty to forest managers since the fungal infection is virtually impossible to detect before felling. The objective of this work was to develop an efficient detection method to evaluate the presence of F. hepatica in early stages of productive periods. A total of 72 chestnuts were analyzed through molecular methods to determine the presence of F. hepatica and with an IML resistance drill to characterize their wood. Thirteen wood quality indices were calculated and their correlation with the presence of the pathogen was evaluated using linear mixed models. We found clear differences between healthy and infected trees in four indices. A new specific index (Chestnut Red Stain Danger index) was designed to estimate the probability of infection by F. hepatica. The results support the hypothesis that the early presence of F. hepatica is detectable through inexpensive and fast mechanical methods early in a rotation. The results of this work will help forest managers evaluate the incidence of CRS, as well as it establishes a novel methodology for further development of resistance drilling techniques for heartwood rot detection.

Predictive Health Monitoring of Palm Trees: Techniques and Applications for Enhanced Processing

This paper presents new framework for predictive health monitoring in palm trees using advanced deep learning methods. The system then selects the YOLOv8 method for the detection of the health of palm trees and further divides them into their real-time classification. Here, the model will, after training on its dataset, classify the palm tree as healthy, diseased, and stressed trees, keeping all the influential factors of the growth of the palm tree in consideration. It makes provision for the profiling of health status by way of early intervention, reducing risks and preventing diseases with a view to optimizing crop yields within palm plantations. The proposed model leverages state-of-the-art methodologies in object detection to process images of the palm tree with identification of key indicators of health issues. This approach has great implications for agricultural productivity in view of the maintenance of plant health through early detection. Further, the paper discusses challenges presented during the training and validation of the model, their strategies for overcoming such obstacles, and goes further into relating details to the technical architecture of the model. Further details on the works related to plant disease detection, image-based classification, and further applications of deep learning in agriculture have inspired the research work. Based on the obtained results, it can be observed that the proposed system provides a scalable and efficient solution for continuous monitoring and assessment of the health conditions of palm trees, hence enabling sustainable agricultural practices.

First Report of Neofusicoccum nonquaesitum Causing Branch Dieback of English Walnut (Juglans regia) in the Maule Region, Chile

English walnut (Juglans regia) cultivation has been expanding in recent years in Chile, with a surface of 9,000 ha planted in the Maule Region (35° 26' S, 71° 40' W), central Chile. In a field survey conducted between August (2022) and January (2023) in three localities of the Maule Region, several declined trees were observed. English walnuts exhibited small chlorotic leaves, cankers, dead twigs, and dieback of branches, with an incidence of 10 to 35% of trees affected per orchard. Internally, diseased branches exhibit brown to dark brown wood cankers. Symptomatic branches (n = 30) were collected and surface disinfected with 96% ethanol, and flamed. Pieces of wood (approximately 5 mm) were placed on potato dextrose agar (PDA), supplemented with 0.005% tetracycline, 0.01% streptomycin, and 0.1% Igepal CO-630 (Díaz et al. 2018), and incubated at 22°C for 5 days in darkness. Four isolates (VLC-1-6-20, VLC-1-10-20, VLC-1-12-20, and VLC-1-15-20) exhibited moderate growth rates (16.4 mm/day), developing a white hue to olivaceous black colonies after 7 days at 22°C on PDA. Chlamydospores were absent. Black pycnidia were formed individually or in clusters. The isolates produced aseptate, hyaline, and fusiform, with base truncate conidia measuring 24.8 ± 1.6 x 6.8 ± 0.63 µm (l/w = 3.1; n = 50). The four isolates characterized were amplified using of the internal transcribed spacer (ITS1/ITS4), a portion of beta-tubulin (Bt2a/Bt2b), and part of the translation elongation factor 1- α (EF1-728/EF1-968) genes (Phillips et al. 2013). Blast analyses showed 100, 99 and 100 % identity with ex-type isolate PD-484 of Neofusicoccum nonquaesitum for ITS (deposited as GenBank accession no. PP697845 to PP697848), Bt (PP789576 to PP789579) and EF1 (PP830824 to PP830827) regions, respectively. Combined phylogenetic analysis using MEGA 7 software and the maximum likelihood test clustered the four isolates with ex-type of N. nonquaesitum. Pathogenicity was performed using two isolates (VLC-1-6-20 and VLC-1-10-20), which were inoculated in healthy tree walnuts cv. Chandler (8 years old), using 40 μl of mycelial suspension (105 fragments of mycelium/ml) on rounded wounds in the middle of each attached young branch (n=30 branches) (Twizeyimana et al. 2013). Sterile distilled water was used as a control treatment. Pathogenicity tests were repeated twice. After 6 months, necrotic streaks with mean lengths of 13 mm and 28 mm were observed in the middle of wounded young branches. No necrotic lesions were observed in the control treatments. Reisolation of N. nonquaesitum was positive (100%) only from inoculated branches and molecularly identified (EF1-a), fulfilling Koch’s postulates. Previously, N. nonquaesitum has been reported causing dieback on English walnut in California (Chen et al. 2014). To our knowledge, this is the first report of N. nonquaesitum causing canker and branch dieback of English walnut in central Chile. Previously, Diplodia mutila, Dothiorella sarmentorum, and N. austral have been associated with walnut dieback in Chile (Díaz et al. 2018; Iqbal et al. 2023; Barcos et al. 2023). In conclusion, it is imperative to implement epidemiological studies to avoid the spread and severity of branch dieback of walnuts in the Maule region, central Chile.

Spatiotemporal diversity of bacterial endophyte microbiome of mandarin (Citrus reticulata) in the northern Persian Gulf and its HCN production and N2 fixation.

Endophytes are symbionts that live in healthy plants and potentially improve the health of plant holobionts. Here, we investigated the bacterial endophyte community of Citrus reticulata grown in the northern Persian Gulf. Bacteria were isolated seasonally from healthy trees (root, stem, bark, trunk, leaf, and crown tissues) in four regions of Hormozgan province (i.e., Ahmadi, Siyahoo, Sikhoran, Roudan), a subtropical hot region in Iran. A total of 742 strains from 17 taxa, 3 phyla, and 5 orders were found, most of which belonged to Actinobacteria (Actinobacteriales) as the dominant group, followed by Firmicutes (Bacillales), Proteobacteria (Sphingomonadales, Rhizobiales), and Cyanobacteria (Synechoccales). The genera included Altererythrobacter, Arthrobacter, Bacillus, Cellulosimicrobium, Curtobacterium, Kocuria, Kytococcus, Methylopila, Mycobacterium, Nocardioides, Okiabacterium, Paracraurococcus, and Psychrobacillus. The most frequently occurring species included Psychrobacillus psychrodurans, Kytococcus schroetri, and Bacillus cereus. In addition, the overall colonization frequency and variability of endophytes were higher on the trunks. The leaves showed the lowest species variability in all sampling periods. The frequency of endophyte colonization was also higher in summer. The Shannon-Wiener (H') and Simpson indices varied with all factors, i.e., region, season, and tissue type, with the maximum in Roudan. Furthermore, 52.9% of the strains were capable of nitrogen fixation, and 70% produced antagonistic hydrogen cyanide (HCN). Thus, C. reticulata harbors a variety of bioactive bacterial endophytes that could be beneficial for host fitness in such harsh environments.

Metabolic and Physiological Effects of Antibiotic-Induced Dysbiosis in Citrus

Streptomycin (Str) and oxytetracycline (Otc) are widely used antibiotics to manage bacterial diseases in citrus and other crops. However, their impacts on the rhizosphere bacterial assembly and plant physiology are poorly understood. The aim of this study was to examine the effects of Str and Otc on the physiology (assimilation, transpiration rate, intracellular CO2, and stomatal conductance to water vapor), rhizosphere bacterial assemblages (16S rRNA gene high-throughput amplicon sequencing), and rhizosphere metabolite profiles in healthy Citrus reticulata trees. The results indicated a reduction in photosynthesis after Str and Otc treatments, whereas CO2 outflow stayed constant. Both antibiotics decreased the culturable numbers of bacteria. Analysis of the microbiome showed changes in relative abundance of bacterial groups, specifically Pseudomonas, Agrobacterium, and Streptomyces, in response to the antibiotics. Metabolite profiles changed in streptomycin- and oxytetracycline-treated citrus plants suggesting response to microbe targets or induction of stress responses. This study advances knowledge of antibiotic-driven effects on the rhizosphere microbiome, rhizosphere metabolome, and plant physiology, which is essential for managing plant diseases while safeguarding rhizosphere ecology and long-term plant health.

Diversity Patterns of Bacteria in the Root Zone of Davidia involucrata Along an Altitudinal Gradient

Davidia involucrata has an ancient origin, representing a remnant from the paleotropical flora that thrived during the Tertiary period. Altitudinal gradient acts as a natural testing ground for studying climate change, and research on the distribution patterns of microorganisms along altitudinal gradients is crucial in understanding the adaptability of D. involucrata to climate change. In our study, we examined sample sites ranging from 1600 to 2200 m in elevation, which are part of the primary habitat zone for Davidia involucrata within the Xuebaoding National Nature Reserve. In 2021, field surveys were conducted across four altitudinal gradients (1600 m, 1800 m, 2000 m and 2200 m) of the D. involucrata distribution in the nature reserve. The sampling plots were set in each altitudinal gradient, and three representative and healthy mature trees were selected as sample trees for each plot. Rhizosphere soils were used to test the soil stoichiometry characteristics and root zone microbial communities. Our findings indicated pronounced differences in soil total carbon (TC) and total phosphorus (TP) content and C:P and N:P ratios between the four altitude sites (p < 0.05). Analysis of the bacterial communities revealed higher richness (PD and Chao1 indexes) at ASL2000 and ASL2200 (high altitude) compared to ASL1600 and ASL2000 (low altitude) (p < 0.05). Non-metric multidimensional scaling analysis demonstrated a distinct clustering of bacterial communities between the high and low altitudes (p < 0.01). At the phylum level, Proteobacteria and Acidobacteria were predominant at high altitudes, while Actinobacteria and Chloroflexi dominated at low altitudes. The core microbiome, shared among all altitudes, comprised 377 genes. The analysis of differential abundance revealed notable disparities in the prevalence of certain bacterial genera with altitude, with Arthrobacter and Acidothermus experiencing the most pronounced shifts (p < 0.05). This confirmed that environmental factors significantly influenced bacterial community structure and abundance. Spearman’s rank correlations revealed that both Chao1 and PD indices were positively correlated with elevation, TC, and TN, with Chao1 showing stronger relationships. Both indices were negatively correlated with MAT, while only Chao1 exhibited a significant negative correlation with pH. Linear regression analysis further confirmed the significant associations between Chao1 index and elevation, TN, MAT, and pH. Furthermore, redundancy analysis demonstrated that altitude (ASL) and TN were the primary factors shaping soil bacterial community composition, explaining 21.32% and 30.70% of the variance, respectively. Altitude significantly influenced microbial community structure (p = 0.003). Distinct microbial taxa showed specific associations with environmental gradients, suggesting niche specialization in response to soil conditions. These findings suggest that altitude influences soil nutrient characteristics and microbial community composition in the D. involucrata habitat, offering insights into the ecological factors affecting this endangered species.

First report of leaf spot on Gleditsia sinensis caused by Colletotrichum gloeosporioides in China.

Gleditsia sinensis Lam (Lamarck et al., 1788) is an endemic species widely distributed in China. In Sep. 2022, leaf spot symptoms were observed on G. sinensis in Xuhui district (31◦9'16''N, 121◦26'36''E), Shanghai, China, with an incidence rate of 55% in the examination of 9 trees. The leaves showed typical symptoms of anthracnose with irregular gray-brown spots and sunken areas. For isolation, 5 × 5 mm sections were cut from the lesion edge of 20 infected leaves collected from 2 trees. The surface of the sections was sterilized by immersion in 75% ethanol for 30 s, followed by 5% NaClO for 1 min, rinsed three times with sterile water, and dried on sterile filter paper. These sections were placed on PDA plates incubated at 25°C in darkness. Eighteen isolates with similar colony morphology were obtained and purified by single spore culturing. Two isolates (YKY2301, 2302) from separate trees were further tested. On the 6th day, the colonies had a diameter of 7.6 to 8.4 cm and appeared white to gray-white with aerial hyphae. The colony's central part exhibited an orange hue due to the conidia accumulation, while the undersides displayed an orange-yellow color. The hyphae were hyaline and smooth, with septa and branches, and the conidia were cylindrical with blunt to slightly rounded ends, measuring 13.1 to 18.8 (average 15.9) μm× 4.0 to 6.6 (average 5.4) μm (n=184). From conidia germinated on glass slides, the appressoria measured 5.5 to 6.3 μm ×4.9 to 5.1 μm (n=50) and were nearly spherical or elliptical in shape. These characteristics matched those of the Colletotrichum gloeosporioides species complex (Cannon et al., 2012; Weir et al., 2012). For molecular identification, the genomic DNA was extracted using a modified CTAB method (Luo et al., 2012). Gene fragments including ITS (PP125667, PP125668), GAPDH (PP153428, PP153429), ACT (PP153424, PP153425), TUB2(PP153917, PP190256), and ApMAT (PP153426, PP153427) were obtained by PCR using universal primers (Huang et al., 2022) and sequenced. The sequences exhibited 98.19% to 99.82% identity with the corresponding gene of the type strain C. gloeosporioides IMI356878 (JX010152, JX010056, JX009531, JX010445, JQ807843) in NCBI BLAST. A multilocus Maximum likelihood phylogenetic tree was constructed based on concatenated the five genes by PhyloSuite. It showed that YKY2301, 2302 were on the same branch with C. gloeosporioides. Based on these results, the isolates were identified as C. gloeosporioides. Pathogenicity tests were conducted by mycelial and conidia inoculation. 5 mm mycelial or blank agar plugs were inoculated onto the leaves of 2 healthy trees in a garden (25 to 30 °C), with and without wounds made by toothpick pricking (n≥3 per group). All mycelial inoculated leaves showed leaf spots on the 6th day. Three healthy 2-year-old seedlings were inoculated with either conidia (108 conidia/ml) or water by leaf spray, and maintained in a climate chamber (27 °C, 80% humidity). Inoculated seedlings showed necrotic leaf spots on day 14, and wilted within 3 weeks. The controls in all tests remained asymptomatic. The pathogen has been re-isolated and confirmed by sequencing, thus fulfilling Koch's postulates. This is the first report of leaf spots caused by C. gloeosporioides on G. sinensis in the world. As illustrated by the example of legume pod infection (Gerusa et al., 2019), it poses a potential threat to the fruits of G. sinensis, despite currently only affecting their ornamental value. This report provides basic information for future research.

The epidemic occurrence of decline disease in bayberry trees altered plant and soil related microbiome and metabolome

BackgroundIn China, decline disease with unknown etiology appeared as an epidemic among bayberry trees in the southern area of the Yangtze River. Furthermore, the use of beneficial microbes has been reported to be able to reduce the incidence of this disease, emphasizing the association of this disease with microorganisms. Therefore, it has become critical to uncover the microbiome’s function and related metabolites in remodeling the immunity of bayberry trees under biotic or abiotic stresses.ResultsThe amplicon sequencing data revealed that decline disease significantly altered bacterial and fungal communities, and their metabolites in the four distinct niches, especially in the rhizosphere soils and roots. Furthermore, the microbial communities in the four niches correlated with the metabolites of the corresponding niches of bayberry plants, and the fungal and bacterial networks of healthy trees were shown to be more complex than those of diseased trees. In addition, the role of microbiome in the resistance of bayberry trees to the occurrence of decline disease was justified by the isolation, identification, and characterization of important microorganisms such as significantly enriched Bacillus ASV804, Pseudomonas ASV815 in healthy plants, and significantly enriched Stenotrophomonas ASV719 in diseased plants.ConclusionOverall, our study revealed that the occurrence of decline disease altered the microbiome and its metabolites in four ecological niches in particular rhizosphere soils and roots of bayberry, which provides new insight into the control of bayberry decline disease.

Seasonal activity and phoresy rates of Nitidulid beetles (Coleoptera: Nitidulidae) captured in stands with oak wilt infections in northern Michigan, USA.

Nitidulid beetles (Coleoptera: Nitidulidae), the overland vectors of the Bretziella fagacearum fungus that causes oak wilt, were monitored in infection centers in Quercus rubra stands in northern Michigan, USA using baited, wind-oriented traps for 2 years. First nitidulid captures, accounting for <1.5% of total annual captures, occurred in late April in both years (<50 cumulative degree days [DDs]; base 10°C). A total of 1,188 and 735 beetles representing 19 and 18 species were captured in 2018 (18 traps; 3 sites) and 2019 (16 traps; 4 sites), respectively. Ground traps (1.5 m high) captured more beetles and species than traps on canopy branches of red oaks. Most nitidulids (81-86%) were captured in May and June, but frequent precipitation and cool spring temperatures extended activity into early July in 2019. In 2018, 336 beetles representing 12 species were screened for B. fagacearum spores, but only 20 beetles from 4 species bore viable spores. Mycelial mats on red oaks killed were 4-fold more abundant in 2019 than in 2018. Of the 225 beetles screened in 2019, 56 beetles representing 6 species had viable spores. Nearly all (96%) spore-bearing beetles in both years were captured in late May or June. In bimonthly xylem samples collected from healthy trees, large earlywood vessels, presumably more vulnerable to infection than latewood, were present from May to June in 2018 and until early July in 2019. Results are consistent with mid-May to mid-July high-risk periods designated in current state and regional guidelines for oak wilt management.

Establishment of characteristic fingerprint of volatile components in Batocera horsfieldi (Coleoptera: Cerambycidae) host plants and correlation analysis with climatic factors.

Batocera horsfieldi is the primary stemboring pest of timber forests and economic forests in China, belonging to the Coleoptera Cerambycidae. In this study, gas chromatography-mass spectrometry was used to analyze the volatile components in the supplementary feeding hosts and oviposition hosts of B. horsfieldi, and characteristic fingerprints were constructed. A total of 168 compounds were detected, primarily consisting of terpenes, hydrocarbons, and aldehydes, with 75, 23, and 14 compounds, respectively. Hierarchical cluster analysis and principal component analysis yielded consistent results. The similarity evaluation results showed that the similarity range between healthy poplar tree bark and healthy poplar leaves was the highest, reaching 0.953-0.98, and 10 common peaks were identified. The analysis of the correlation with climatic factors shows that most compounds are positively correlated with mean annual humidity, mean annual temperature, mean annual minimum temperature, and mean annual maximum temperature. Only caryophyllene and alpha-guaiene are negatively correlated with temperature-related climatic factors. Pathway analysis also reveals differences in the direct effects of different compounds. These analytical results provide a theoretical basis for further studying the selection mechanism of B. horsfieldi on hosts and offer theoretical guidance for identifying plant-derived attractants with biological activity.

Early Detection of Dendroctonus valens Infestation with UAV-Based Thermal and Hyperspectral Images

Dendroctonus valens is one of the main invasive pests in China, causing serious economic and ecological damage. Early detection and control of D. valens can help prevent further outbreaks. Based on unmanned aerial vehicle (UAV) thermal infrared and hyperspectral data, we compared the spectral characteristics of Pinus sylvestris var. mongolica in three states (healthy, early-infested, and dead), and constructed a classification model based on the random forest algorithm using four spectral datasets (reflectance, first derivative, second derivative, and spectral vegetation index) and one temperature parameter dataset. Our results indicated that the spectral differences between healthy and early-infested trees mainly occur in the near-infrared region, with dead trees showing different characteristics. While it was effective to distinguish healthy from early-infested trees using spectral data alone, the addition of a temperature parameter further improved classification accuracy across all datasets. The combination of the spectral vegetation index and temperature parameter achieved the highest accuracy at 93.75%, which is 3.13% higher than using the spectral vegetation index alone. This combination also significantly improved early detection precision by 13.89%. Our findings demonstrated the applicability of UAV-based thermal infrared and combined hyperspectral datasets in monitoring D. valens early-infested trees, providing important technical support for the scientific prevention and control of D. valens.

A classification and recognition model for multiple fruit tree leaf diseases

Abstract Fruit tree leaf diseases affect both fruit survival rate and orchard revenue. Rapid and accurate identification of tree leaf diseases not only prevents the spread of diseases but also ensures healthy tree growth and improves fruit quality. Existing models mostly focus on individual types of tree leaf diseases, with limited applications in the identification of multiple tree leaf diseases. In response to the insensitivity of current classification models to disease region features and the issue of increased error rates due to the presence of similar diseases, this study proposes a residual network model based on the ECA channel attention mechanism and meta-Acon adaptive activation function.The model employs ResNet34 as the backbone network and incorporates the ECA module after each residual block to focus on relevant information. Additionally, a new activation function called meta-Acon is introduced to enhance the model's generalization ability through its dynamic learning capability. Finally, the model's recognition performance is improved by fusing bottom-level features with features from other layers using the Feature Pyramid Network (FPN).Experimental results on a dataset augmented with Mosaic processing show that the FPEM-ResNet34 model achieves a classification accuracy of 98.46%. Compared to other common models such as VGG-16, Inception-V1,AlexNet, and ResNet50, the proposed method mentioned in this paper demonstrates more effective improvement in the accuracy of tree leaf classification, making it highly valuable for practical applications..&amp;#xD;

Effect of Various Preparations for Plant Rooting on Olive Cuttings

The effect of different rooting agents on the propagation of olive plant by means of cuttings was investigated in a comparative manner. Experimental research works were carried out in the greenhouse complex of the Absheron Experimental Station. Olive plant cuttings from different varieties were taken as the object of the study. Rooters (IST and naphthenic acids) were used to influence the rapid rooting of cuttings and the increase in the number of lateral roots. During the conducted experiments, different results were obtained in different variants. It was observed that indolyl acetic acid and naphthenic acid were more effective on olive cuttings in comparison with the control option. Based on the conducted studies, it was found that rooting of cuttings was accelerated as a result of the effect of rooters. Results were more successful in the indolyl acetic acid variant than in the other variants. So, under the influence of 100 cuttings IST, 96 cuttings in Agbaba variety, 87 in Jigirina variety, 93 in Pikvales variety, and 89 cuttings in Azerbaijani olive were observed. Under the influence of naphthenic acid, rooting occurred in 92 of 100 cuttings of Agbaba variety, 87 of Jigirina variety, 85 of Pikwales variety, and 91 of Azerbaijani olives. As a result, it was determined that for the rapid development of the olive plant, cuttings should be taken from healthy and well-nourished trees and indolyl acetic acid should be used as a rooting solution.

Transpiration and plant hydraulics of Abies veitchii under fluctuating environmental conditions in cool montane forest

AbstractIn subalpine fir wave forests, strips of dead and weakened trees occur perpendicular to the slope next to strips of healthy trees. To reveal the transpiration by weakened Abies veitchii trees exposed to increased atmospheric evaporative demand, we investigated the ecophysiological traits closely related to the growth and transpiration, comparing them with those of the healthy trees and saplings in the fir wave of Mt. Shimagare in central Japan. The transpiration rate (E) was investigated using sap flux sensors to measure heat pulse velocity and compared with the surrogate for the needle water demand, which was computed using a multilayered gas and energy transfer model (modeled E, Emod). Weakened trees exhibited smaller diameter growth and narrower sapwood than healthy trees, as well as lower heat pulse velocity compared with healthy saplings. However, needle‐level traits did not differ significantly between weakened and healthy trees. Needle water potential at midday was as negative as the needle turgor loss point, and the measured heat pulse velocity increased linearly with Emod but leveled off above a certain Emod value in weakened trees and healthy saplings, suggesting that trees restricted E to balance the needle water budget. Heat pulse velocity of weakened trees leveled off at Emod lower than that of healthy saplings, probably due to lower capacity for water supply to the needles. Restriction of E would occur less frequently but be necessary for both weakened and healthy A. veitchii on Mt. Shimagare to avoid hydraulic failure, sacrificing photosynthetic carbon assimilation.

Mapping pathogenic fungi in decayed Norway spruce stands: Insights from harvester positional data

Abstract Root and butt rot caused by pathogenic fungi in the genera Heterobasidion and Armillaria is a pressing issue in managed Norway spruce forests. The disease results in financial losses for the forest owners and reduces the volume of wood that can be used in long‐lived products. Pathogenic wood decay fungi spread either with the aid of airborne spores or via mycelial growth among neighbouring trees, the latter leading to clustering (tendency of decayed trees to be in close proximity relative to their neighbouring trees) of decay‐affected trees in forests. Understanding the spatial patterns of the decay‐affected trees at the forest stand level is vital for designing management strategies to address this problem. We examined decay clustering in 273 clear‐cut Norway spruce stands in Norway using harvester‐recorded data on spatial occurrence of decayed and healthy Norway spruce trees. We tested clustering using three global‐cluster tests that account for population density and distribution, evaluating clustering without identifying specific cluster locations. The proportions of clustered and non‐clustered stands differed depending on the statistical test used for clustering assessment, resulting in overall agreement of 32.8% for clustered and 36.9% for non‐clustered. Clustered stands exhibited a median cluster distance (maximum distance between the decay‐affected trees within a cluster) of 12 m (Inter‐Quantile Range, IQR, 6–20 m) and a median of 6 (IQR 3–16) nearest neighbour trees (number of decayed trees forming a cluster), estimates comparable with prior studies focused on assessment of trees infected by mycelial spread of the same fungal individual. The decay incidence in the clustered stands was 16.24%, while the non‐clustered stands had a butt‐rot incidence of 20.97%. In clustered stands the average number of trees per hectare was higher (693) than in non‐clustered stands (553). Synthesis and applications: Our study demonstrates that Norway spruce stands display a diverse range of spatial patterns of butt rotted trees. We found that higher densities of Norway spruce trees probably facilitate the vegetative spread of pathogenic wood decay fungi, leading to clustering of decay‐affected trees. To disrupt the spread of decay fungi between tree generations, precision planting of trees other than Norway spruce around infested stumps of prior generation trees has been recommended by earlier studies. We discussed the potential of using harvester‐derived geoposition data for butt‐rotted trees upon planning and execution of forest regeneration.

New Ophiostoma species associated with Dryocoetes himalayensis and decline of Juglans regia in Czechia

AbstractA new ophiostomatoid fungus involved in the decline of walnuts was discovered in Czechia. The fungus was isolated from necrotic wood surrounding the larval galleries of Dryocoetes himalayensis, the alien bark beetle attacking walnut trees. This insect species is rather unique within hardwood-associated bark beetle species for its aggressiveness and ability to attack apparently healthy trees. The isolated fungus, associated with an exotic insect vector is described as a new species, Ophiostoma juglandis sp. nov., based on its unique morphology and phylogenetic position. The pathogenicity tests confirmed the aggressiveness of the species to both Juglans regia and J. nigra plants, manifested by formation of extensive bleeding and necrotic lesions. The symbiotic relationship between O. juglandis and D. himalayensis is expected due to massive presence of the fungal spores on surface of adult beetles in pits forming the elytral striae. In the case of hardwood-associated ophiostomatoid fungal species, phytopathogenicity is very rarely observed. The described species is exceptional in this ability, which corresponds to the aggressive behaviour of its vector. The role of the fungus in walnut tree mortality caused by D. himalayensis is discussed.

Towards scalable wide area UAS monitoring of forest disturbance using hydrogen powered airships

ABSTRACT Uncrewed Aircraft Systems (UAS) have been recognized as powerful tools for providing monitoring data supporting mitigating and adapting to various abiotic and biotic forest disturbances. However, their suitability and commercial viability have been significantly limited by the necessity for operation primarily within visual line of sight (VLOS). Efforts are currently ongoing to establish frameworks for beyond visual line of sight (BVLOS) UAS operation. This study represents the first successful application of hydrogen-powered BVLOS airship UAS technology for monitoring forest disturbances. The test area covered 1.3 km2 of conserved forest area in North Karelia, Finland, seriously affected by bark beetles and other disturbance agents. Monitoring flights were conducted in spring, summer, and autumn in BVLOS setting operated from a command centre situated approximately 75 km distance from the test area. Deep learning models were applied to study the tree health in the disturbance area, with the special focus on examining the scalability of machine learning models. Multispectral imagery outperformed RGB imagery in classifying trees as healthy, infested, and dead spruce trees, as well as non-spruce tree classes. With multispectral imagery, the F1-scores were 0.88–0.94, 0.80, 0.92–0.96, and 0.75–0.82 for healthy, infested, and dead spruce trees, and non-spruces, respectively. Transfer learning and fine-tuning, which adapted previously trained models to new study areas, improved results compared to training models from scratch and thus contributed to the development of scalable UAS remote sensing methods in mitigating forest disturbances on a larger scale.

Screening and identification of Paenibacillus polymyxa GRY-11 and its biological control potential against apple replant disease.

Apple replant disease (ARD) is a significant factor restricting the healthy development of the apple industry. Biological control is an important and sustainable method for mitigating ARD. In this study, a strain of Paenibacillus polymyxa GRY-11 was isolated and screened from the rhizosphere soil of healthy apple trees in old apple orchards in Shandong Province, China, and the effects of strain GRY-11 on soil microbial community and ARD were studied. The result showed that P. polymyxa GRY-11 could effectively inhibit the growth of the main pathogenic fungi that caused ARD, and the inhibition rates of the strain against Fusarium moniliforme, Fusarium proliferatum, Fusarium solani, and Fusarium oxysporum were 80.00%, 71.60%, 75.00%, and 70.00%, respectively. In addition, the fermentation supernatant played an active role in suppressing the growth of pathogenic fungi. The results of the pot experiment showed that the bacterial fertilizer of the GRY-11 promoted the growth of Malus hupehensis seedlings, improved the activity of protective enzymes in plant roots, enhanced the soil enzyme content, and optimized the soil microbial environment. In general, the GRY-11 can be used as an effective microbial preparation to alleviate ARD. Our study offers novel perspectives for the prevention of ARD.

Enhancing Clonal Micropropagation of Zarya Alatau Apple

The purpose of this study was to improve the protocol of clonal micropropagation for effective mass production of the Zarya Alatau apple cultivar through the use of axillary buds. In Kazakhstan’s challenging climate, the Zarya Alatau apple thrives because of its unique traits, including fruit preservation until May, cold hardiness, and resistance to scab and powdery mildew. Micropropagation is essential for healthy mother tree establishment, and this research focused on key factors for successful in vitro propagation. The sterilization of explants was optimized: 1.6% solution of sodium hypochlorite effectively sterilized plant materials for 10 minutes. Nutrient media composition was evaluated for efficient shoot regeneration. The study examined axillary bud regeneration on Murashige and Skoog medium with different concentrations of hormones. A combination of 6-benzylaminopurine (0.5 mg/L) and gibberellic acid (0.5 mg/L) yielded optimal results, with shoots reaching 3.5 cm. Root induction was analyzed with varying indole-3-acetic acid (IAA) concentrations, and the best results were achieved with 1.5 mg/L IAA, resulting in an 85% rooting frequency. Adapting in vitro plants to ex vitro conditions is crucial given their sensitivity to environmental changes. Well-developed leaves and a robust root system are essential for successful acclimatization during transplantation into a soil substrate. This research provides valuable insights into the critical parameters for a successful transition of in vitro propagated plants to soil conditions, optimizing micropropagation practices.

Identification of fungal species associated with gall oak (Quercus infectoria Oliv.) decline in Iran.

The gall oak (Quercus infectoria Oliv.) tree is one of the most important and valuable forestry species in the Northern Zagros forests in the west of Iran. Gall oak decline is considered to be one of the most important diseases currently affecting the oak Zagros forests in Iran. The main objective of the present study, conducted in the years 2021-2023, was to investigate the possible role of fungi as causative agents of gall oak dieback in the Zagros forests of Iran. Wood samples were taken from gall oak trees showing canker, dieback, and internal wood discoloration symptoms. Fungal isolates recovered from gall oak trees were identified based on cultural and morphological characteristics, as well as phylogenetic analyses using DNA sequencing of the internal transcribed spacer region of rDNA (ITS) and partial beta-tubulin (tub2). Achaetomium aegilopis, Alternaria tenuissima, Apiospora intestine, Botrytis cinerea, Coniochaeta sp., Coniothyrium palmarum, Coniothyrium sp., Cytospora rhodophila, Dialonectria episphaeria, Diatrype sp., Diatrypella macrospora, Endoconidioma populi, Fonsecazyma sp., Fusarium ipomoeae, Jattaea discrete, Kalmusia variispora, Microsphaeropsis olivacea, Neoscytalidium dimidiatum, Paecilomyces lecytidis, Paramicrosphaeropsis eriobotryae, Paramicrosphaeropsis ellipsoidea, and Seimatosporium pezizoides were identified from diseased trees. Pathogenicity tests were performed by artificial inoculation of excised branches of healthy gall oak trees under controlled conditions and evaluated after 35 days by measuring the discolored lesion length at the inoculation site. N. dimidiatum was the most virulent species and caused the longest wood necrosis within 35 days of inoculation. In the greenhouse test, only some species induced typical symptoms of canker. All isolated fungi are reported for the first time on gall oak trees in the world.