Wilsonomyces carpophilus is the major fungus that produces shot hole disease (SHD) in apricots, which results in significant economic losses. This problem can be addressed through the monitoring of the diseases and spotlighting the risks connected with them. This study employed descriptive and geostatistical mapping techniques to track the spatial distribution and risk of SHD in apricot orchards in five apricot-growing valleys. The results showed a spatial distribution of the disease within the study area even varying within the valleys and orchards. A moderate spatial dependence of SHD prevalence (0.524), incidence (0.363), and severity index (0.313) were observed. GIS maps and trend analysis graphs also showed the spatial distribution of the disease from east-west and south-north directions. Climate and cultural practices favor the perpetuation of pathogens and the spread of SHD. This information will help apricot growers regarding disease management and improve sustainable profitability.

Apricot (Prunus armeniaca L.) is the most common, high-income generative fruit and consequently plays an important part in the region's socio-economic growth. However, apricots are susceptible to several diseases and pests that cause lower yields and significant financial losses, including apricot shot hole disease brought on by Wilsonomyces carpophilus, a polyphagous fungus, creates a serious threat to stone fruits, particularly the apricot tree. The current study used descriptive statistics and geostatistical approaches to evaluate the geographical distribution of the apricot shot hole disease (5 valleys, 30 orchards, and 480 apricot trees) in district Nagar, Gilgit-Baltistan, Pakistan. From each apricot tree, 150 apricot fruits, a total of 72,000, were randomly selected to assess the incidence, disease index, and severity. Results revealed that the disease is spatially distributed within the study area, varying within valleys and orchards. The range of disease prevalence was 50.0-67.70%, incidence 56.97-64.01%, index 32.49-40.56% and mean severity 0.21-0.24%. Geostatistical techniques were used to predict the spatial dependency class. Results revealed that disease prevalence had a nugget/sill ratio of 0.915, inferring weak spatial dependence, whereas incidence, disease index, and severity inferred moderate spatial dependence with nugget/sill ratios of 0.479, 0.628, and 0.393, respectively. Moreover, the spherical semivariogram model, trend analysis graph, and GIS maps indicate the region's spatial distribution of apricot shot hole disease. This information linked to metrological data (temperature, precipitation, and relative humidity) seemingly favored the apricot shot hole disease development during the growing period. Evaluation of geostatistical mapping strategies in monitoring spatial distributions of apricot shot hole disease in a field setting will improve the decision support for disease management, selection of resistant variety, and improve sanitation condition of apricot orchards. Continuous climate and pest monitoring are essential for creating an efficient disease warning system for farmers and other organizations involved in agriculture to prevent future plant epidemics.

Background: Bactrocera dorsalis (Hendel) poses a significant threat to global fruit production and quality, including in Pakistan, where it causes substantial losses. Traditional control methods have heavily relied on the indiscriminate and imprudent use of insecticides, leading to challenges such as insecticide resistance, environmental pollution, fruit contamination, and health risks. This study explores the insecticidal potential of seven selected botanicals: Artemisia vulgaris L., Capparis spinosa L., Mentha longifolia, Mentha piperita, Peganum harmala, Eucalyptus globulus, and Callistemon viminalis, each at three different concentrations (10mL, 20mL, and 30mL), against Bactrocera dorsalis (B. dorsalis). Two in vitro experiments involving the application of plant extracts mixed with protein bait and direct spray were conducted. Results: Both experimental results demonstrated a direct correlation between the concentration of plant extract and the mortality of B. dorsalis. In the plant extract mixed with protein bait, results recorded after 96 h at 10 mL ranged from 8.667 ± 1.52–47.000 ± 3.00, at 20 mL from 18.667 ± 1.52–53.667 ± 6.02, and 30 mL from 26.000 ± 5.29- 67.667 ± 2.08. Meanwhile, for direct spray, mortality ranged from 2.333 ± 1.15–32.333 ± 6.80 at 10 mL, 1.000 ± 1.00–42.667 ± 7.02 at 20 mL, and 9.667 ± 2.30–61.333 ± 8.50 at 30 mL, respectively. The plant species exhibiting the highest toxic potential against the respective pests was C. viminalis, followed by A. vulgaris L. In contrast, the least toxic effect was observed in Eucalyptus globulus at all concentrations. The highest mean mortality and repellence % were recorded in C. viminalis and E. globulus in both experimental trials. The results revealed the highest efficacy of C. viminalis with an LC₅₀ value of 9685.15 and 19,909.11 ppm, for the extract mixed with protein bait and sprayed, was obtained, respectively, the most toxic to the pest followed by the extracts E. globulus and C. spinosa L. Conclusion: Based on our experimental results, it is concluded that C. viminalis and A. vulgaris L. are an effective alternative for the management of B. dorsalis.

Apricots are the most important cash fruit in the region, and they play a key role in its socio-economic development. It is, however, susceptible to several diseases and pests, resulting in decreased yields and substantial financial losses. One of them is the genus Bactrocera, which has almost no data on its Spatio-temporal variability. Between July and September 2021 in district Hunza, Gilgit-Baltistan, Pakistan, this study aimed to determine the spatiotemporal variability of two species of fruit fly, Bactrocera zonata and Bactrocera dorsalis, in apricot fruit orchards. Results revealed that there was a significant difference between the species and month to month. B. zonata had a substantially larger population than B. dorsalis. To predict the spatial variability of fruit fly species, geostatistical analytic techniques were used. Using an inverse distance weight with a spherical semivariogram model, the spatial distribution maps were created. Both species had nugget/sill ratios of 0.00, 0.69, 0.61, and 0.73, indicating moderate to strong spatial dependence. The semivariogram graph also displayed moderate to high spatial dependence. The east-west and south-north trend lines of both fruit fly species crossed through the projected area of the sample point, indicating the overall variation trend of B. zonata and B. dorsalis. Interpolated distribution maps were also created to represent the spatial distribution of B. zonata and B. dorsalis in the study using different colors. This data, together with meteorological data (temperature, precipitation, and relative humidity), seems to promote a high population of fruit fly species in July and August. This knowledge will help with the development of integrated pest management strategies for fruit fly species and the reduction of insecticide use, which will benefit both growers and the environment.