Okra (Abelmoschus esculentus) is an important agricultural crop of the Malvaceae family, cultivated across tropical, subtropical, and warm temperate regions. However, okra production faces numerous challenges from diverse pest species, including insects, nematodes, arachnids, and mites, that significantly reduce its yield. Major economic pests include the cotton aphid, cotton spotted bollworm, Egyptian bollworm, cotton mealybug, whitefly, cotton leafhopper, cotton bollworm, two-spotted spider mite, root-knot nematode, reniform nematode, cotton leaf roller, and flea beetle. Additionally, less prevalent pests such as the blister beetle, okra stem fly, red cotton bug, cotton seed bug, cotton looper, onion thrips, green plant bug, and lesion nematode are also described. This review also addresses fungal and oomycete diseases that present high risks to okra production, including damping-off, powdery mildew, Cercospora leaf spot, gray mold, Alternaria leaf spot and pod rot, Phyllosticta leaf spot, Fusarium wilt, Verticillium wilt, collar rot, stem canker, anthracnose, and fruit rot. In addition to these fungal diseases, okra is also severely affected by several viral diseases, with the most important being okra yellow vein mosaic disease, okra enation leaf curl disease, and okra mosaic disease, which can cause significant yield losses. Moreover, okra may also suffer from bacterial diseases, with bacterial leaf spot and blight, caused primarily by Pseudomonas syringae, being the most significant. This manuscript synthesizes the current knowledge on these pests. It outlines various management techniques and strategies to expand the knowledge base of farmers and researchers, highlighting the key role of integrated pest management (IPM).

Control methods for the larvae of the maize pestDiabrotica virgifera virgifera(Coleoptera: Chrysomelidae) are known to produce inconsistent results under field conditions. To better understand the effects of plant protection products on the root-feeding larvae, we looked for changes in efficacy of the granular soil insecticides chlorpyrifos, cypermethrin, and tefluthrin during a cropping season, as well as a fluid-applied entomopathogenic nematodeHeterorhabditis bacteriophora(Rhabditida: Heterorhabditidae). Twelve field-scale experiments carried out in Hungary between 2010 and 2018 revealed that treatments, whether chemical or biological, are able to reduceD. v. virgifera. However, results were variable with failures in about a quarter of the experiments. Unexpectedly, our findings indicated only limited effect of time on treatments, meaning all products appeared capable of continuously reducing larvae during their time in the soil. Only chlorpyrifos seemed to slightly lose and tefluthrin to slightly increase efficacy over time. Nevertheless, there is no major evidence that failure of treatments is due to temporal effects. Other factors may play a larger role and merit investigation under field conditions.

Sunflower is one of the major oil crops in the world. Diseases such as sunflower downy mildew (Plasmopara halstedii (Farl.) Berl. et de Toni) constitute a significant risk factor during sunflower production. Integrated pest management (IPM) is considered an essential tool against sunflower downy mildew; however, the pathogen variability repeatedly affects the efficacy of control measures. This article evaluates some vital elements of the management of sunflower downy mildew disease and analyzes current challenges. In addition, we outlined the options for the future integration of recent research and achievements related to sunflower downy mildew to achieve more sustainable sunflower production. Finally, a SWOT analysis was performed to consider internal factors, such as strengths (S) and weaknesses (W), and external factors, such as opportunities (O) and threats (T) connected to the topic.

The cotton bollworm (CBW) poses a significant risk to maize crops worldwide. This study investigated whether hyperspectral satellites offer an accurate evaluation method for monitoring maize ear damage caused by CBW larvae. The study analyzed the records of maize ear damage for four maize fields in Southeast Hungary, Csongrád-Csanád County, in 2021. The performance of Sentinel-2 bands, PRISMA bands, and synthesized Sentinel-2 bands was compared using linear regression, partial least squares regression (PLSR), and two-band vegetation index (TBVI) methods. The best newly developed indices derived from the TBVI method were compared with existing vegetation indices. In mid-early grain maize fields, narrow bands of PRISMA generally performed better than wide bands, unlike in sweet maize fields, where the Sentinel-2 bands performed better. In grain maize fields, the best index was the normalized difference of λ_A = 571 and λ_B = 2276 (R² = 0.33–0.54, RMSE 0.06–0.05), while in sweet maize fields, the best-performing index was the normalized difference of green (B03) and blue (B02) Sentinel-2 bands (R² = 0.54–0.72, RMSE 0.02). The findings demonstrate the advantages and constraints of remote sensing for plant protection and pest monitoring.

The larvae of Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae) are largely restricted to the roots of maize as food source, and their feeding damage can cause yield losses. The adults are active flyers in search for pollen sources or for new maize fields to colonise. The D. v. virgifera colonisation of first-year maize fields from adjacent continuous maize fields was studied in a 20 km2 intensive agricultural area in South-Western Hungary between 2008 and 2010. Using non-baited yellow sticky traps the infestation levels of adult D. v. virgifera were compared between six first-year maize fields and seven to 12 adjacent continuous maize fields during a seven week period in July and August in each year. The infestation in the continuous maize fields accounted for more than 60% of the variation in the adult D. v. virgifera captures in the adjacent first-year maize fields indicating that adjacent maize fields are the major source of dispersal into first-year maize and not, or to a lesser extent, the area-wide infestation levels. Therefore, estimating the risks of D. v. virgifera infestations in fields of a maize-rotating farmer can be supported by assessing the infestation levels in neighbouring continuous maize fields