Seed Treatment of Capsicum annuum with Two Different Fungicides to Evaluate the Seed Germination Rate

Chili (Capsicum annuum L.) is the fruit of plants, the Chili is susceptible for several diseases and seed borne fungi Phytophthora capsici which produces collar rot and root of chili. Seed borne pathogens are associated with untreated seeds of chili which are also significantly reduced the germination of seed. This experiment was conducted to find out the seed borne fungi and enhanced the germination of chili (Capsicum annuum) with two fungicides known as Mancozeb 80% WP and Carbendazim 50% WP. Effectiveness of these two fungicides were measured when the seeds planted on blotter paper in petri plates at 270C under lab conditions. These two fungicides significantly reduce the effect of seed borne fungi associated with chili seeds. Mancozeb 80% WP was found most effective to reduce the effect of seed borne fungi and increase the seed germination. Considering the results of the experiment, Mancozeb 80% WP was noted to be a best fungicide against the seed borne fungi. Keywords: Capsicum annuum, Mancozeb, Carbendazim, seed borne fungi, blotter paper. DOI: 10.7176/JBAH/10-4-04 Publication date: February 29th 2020

Larval competition analysis and its effect on growth of Ostrinia furnacalis (Lepidoptera: Crambidae) at natural conditions in Northeast China

The Asian corn borer (Ostrinia furnacalis, Lepidoptera, Crambidae) and Oriental armyworm (Mythimna separata, Lepidoptera, Noctuidae) are 2 major lepidopteran pests of the maize plant, especially the whorls and tassels. The aim of this study was to investigate competition between 2 lepidopteran pests of maize. Intraspecific and interspecific competition occurs when O. furnacalis and M. separata larvae interact with various stages of the maize plant. Therefore, determining whether this competition can decrease larval damage by causing adverse effects on larval growth is crucial. During the maize growing season of 2022, the interaction of these species was assessed in the experimental field of Jilin Agricultural University, China. Interspecific and intraspecific competition of larvae in different maize tissues and the influence of competition on larval development was determined in the fields. The results showed that first, probing behavior was significantly frequent in O. furnacalis larvae; intraspecific and interspecific attack was significant at 4th instar (with leaf, silk, and kernel). Interspecific defense behavior was significant at 3rd instar (without food). O. furnacalis larvae showed attack behavior toward M. separata larvae frequently. Second, competition increased the mortality rate of O. furnacalis larvae (intraspecific, 67%; interspecific, 33%) and decreased pupation emergence rate. Thus, intraspecific and interspecific competition might affect the competitive displacement of pest species sharing the same ecological niche, as well as the prevalence and population dynamics of pests, and help to develop integrated pest management strategies

Biological Control of Fall Armyworm, Spodoptera frugiperda

The fall armyworm (FAW), Spodoptera frugiperda, is one of the most important invasive pests worldwide, resulting in considerable losses in host crops. FAW comprises two genetic strains, such as the “rice strain”, which prefers rice and other grass species, and the “maize strain”, which feeds upon maize and sorghum. Potential control measures are generally more applicable to the farmers who lack financial assets to buy chemical insecticides or costly pure seeds. The adverse effects of pesticides on the ecosystem and human’s health and the development of resistance to insect pests have exaggerated efforts to find an alternative strategy that is cost-effective, low-risk and target-specific. Therefore, biological control is widely considered as one of the most important options for insect pest management. This comprehensive review amasses the information on biological control in all phases of their development, including predators, parasitoids, entomopathogenic fungi, viruses, nematodes, bacteria, and biopesticides, with a special focus on their effectiveness against FAW. The findings regarding biological control are briefly discussed in light of improving management programs of the invasive pest S. frugiperda

Lightweight Network for Corn Leaf Disease Identification Based on Improved YOLO v8s

This research tackles the intricate challenges of detecting densely distributed maize leaf diseases and the constraints inherent in YOLO-based detection algorithms. It introduces the GhostNet_Triplet_YOLOv8s algorithm, enhancing YOLO v8s by integrating the lightweight GhostNet (Ghost Convolutional Neural Network) structure, which replaces the YOLO v8s backbone. This adaptation involves swapping the head’s C2f (Coarse-to-Fine) and Conv (Convolutional) modules with C3 Ghost and GhostNet, simplifying the model architecture while significantly amplifying detection speed. Additionally, a lightweight attention mechanism, Triplet Attention, is incorporated to refine the accuracy in identifying the post-neck layer output and to precisely define features within disease-affected areas. By introducing the ECIoU_Loss (EfficiCLoss Loss) function, replacing the original CIoU_Loss, the algorithm effectively mitigates issues associated with aspect ratio penalties, resulting in marked improvements in recognition and convergence rates. The experimental outcomes display promising metrics with a precision rate of 87.50%, a recall rate of 87.70%, and an [email protected] of 91.40% all within a compact model size of 11.20 MB. In comparison to YOLO v8s, this approach achieves a 0.3% increase in mean average precision (mAP), reduces the model size by 50.2%, and significantly decreases FLOPs by 43.1%, ensuring swift and accurate maize disease identification while optimizing memory usage. Furthermore, the practical deployment of the trained model on a WeChat developer mini-program underscores its practical utility, enabling real-time disease detection in maize fields to aid in timely agricultural decision-making and disease prevention strategies

Distribution of mosquito species in various agro-ecological zones of Punjab

Background: The presence and behavior of mosquitoes in various agro-ecological zones of Punjab are influenced by a combination of seasonal and topographical patterns, cropping schemes, and human settlement. These modifications have a significant impact on the occurrence of diseases. Therefore, determining the distribution of these species could help in halting their spread and disease outbreaks. Methods: Under these prevailing conditions, surveillance studies were carried out at six zones of Punjab, to know the distribution of mosquitoes. Samples were collected in various seasons (once in winter and rainy seasons, and twice in summer), from all possible habitats, having stagnant water. Results: Out of twenty-four (24) recorded species, three were included in Anophelinae and Culicinae, eleven from tribe Aedini, eight from Culicini and one each from Ficulbiini and Mansoniini. Sampling was done from 91 m (Ahmed Pur East) elevation to 1759 m (Fort Monroe). High and diversified population was recorded during rainy season. The Anopheline mosquitoes were found in rural as well as urban habitats, including rainfed, wet mountains and irrigated plains whereas Aedine species were confined to northern irrigated plains and mostly recorded from Changa Manga National Forest. Culicine species were more diversified and abundant, in all seasons. However, M. chamberlaini was collected from urban (rainfed lands) and rural (northern irrigated plains) settings. C. crassipes was recorded only from rainfed lands. Conclusion: Twenty-four mosquito species from the Anophelinae and Culicinae subfamilies were observed in the current investigation. Anophelinae subfamily contained three species. Eleven species of Culicinae belonged to the tribe Aedini, eight to the Culicini, and one each to the Mansoniini and Ficalbiini