Browsing by Author "Subrata Goswami"

Now showing 1 - 18 of 18

Antennal sensilla architecture of Thrips parvispinus (Karny) and Thrips subnudula (Karny) infesting chillies, Capsicum annuum L.: insights from scanning electron microscopy
(Springer Science and Business Media Deutschland GmbH, 2025) Chandrasekaran Praveenkumar; Saminathan Vangili Ramasamy; Remani Remani Rachana; Kesavan Subaharan; Preetha Gnanadhas; Selvam Saravanan; Subrata Goswami; Amala Udayakumar; Sampathrajan Vellaikumar; Chinnasamy Kavitha; Satya Nand Sushil
Invasive chilli thrips, Thrips parvispinus (Karny) coexists with Thrips subnudula (Karny) on chillies, Capsicum annuum L. causing damage to the flowers and leaves. Thrips rely on olfactory cues for host selection, mating and oviposition. Olfaction in thrips is mediated by a pair of antennae with sensilla distributed on its surface to perceive the olfactory stimuli. As both T. parvispinus and T. subnudula share chilli as their host, a comparative analysis was done between the two species to establish the morphology and distribution of antennal sensilla using scanning electron microscopy (SEM). In both the species, nine types of sensilla: Böhm bristles (BB), sensilla basiconica (SBI, SBII, SBIII), sensilla chaetica (SChI, SChII), sensilla coeloconica (SCo), sensilla trichoidea (ST), sensilla campaniformia (SCa), sensilla cavity (SCav), sensilla mammillary (SM) and micro trichia (MT) were identified. Although the sensilla arrangement was similar in both species, T. parvispinus had longer antennae and larger sensilla especially those linked to olfactory and thermo-hygrosensory functions indicating sensory adaptations for more complex host-seeking behavior. In contrast, T. subnudula, despite sharing common host (chilli), exhibited relatively smaller and less elaborated sensilla structures, reflecting its limited ecological niche. This study will add to the information on the morphological foundation of the antennae which could be used to elucidate the olfactory mechanisms in two species of thrips mentioned above. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.
Bioefficacy of Cleistanthus collinus extracts in different solvents against rice stem borer
(Malhotra Publishing House, 2025) Manish Gadekar; Subrata Goswami; Raju Kumar Panse; Subhashree Patnaik; Shashikant Dudy
Bioefficacy of Cleistanthus collinus leaf extracts, prepared using different solvents, were tested against stem borers in rice under field conditions. Eight treatments, including fresh leaf extract, leaf decoction, and extracts in organic solvents like carbon tetrachloride, methanol, chloroform, ether, and acetone, were evaluated along with an untreated control. The botanical formulations were applied as 5% foliar sprays when infestation reached the economic threshold level. Among all treatments, methanol leaf extract exhibited the highest efficacy, significantly reducing stem borer infestation by 72.83 and 71.68% over control in the two respective trials. Other solvent extracts also showed notable effectiveness as compared to the control. © 2025, Malhotra Publishing House. All rights reserved.
Cancer Diagnostics and Therapeutics: Current Trends, Challenges, and Future Perspectives
(Springer Nature, 2022) S.K. Basu; Chinmay Kumar Panda; Subrata Goswami
This book presents multiple facets of cancer biology, including cancer diagnosis, therapeutics to the latest developments in cancer informatics, and applications of artificial intelligence for improving oncologic care. The initial section of the book discusses factors contributing to the development and causes of cancer. The subsequent sections discuss the basic principle of imaging and therapeutic techniques, including MRI, CT, and positron emission tomography (PET) Scan. The book further, explores the implications of cancer chemotherapy on the immune system and emphasizes the effective management of cancer-related pain. Towards the end, it covers recent advancements in cancer treatment, including targeted therapy, immunotherapy, interventional radiotherapy, and stem cell-based therapy. Lastly, it summarizes essential strategic elements of cancer informatics for improving patient outcome. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
Design considerations of a medical expert system for differential diagnosis of low back pain (Eslbp )
(Springer, 2020) Debarpita Santra; J.K. Mandal; S.K. Basu; Subrata Goswami
Low back pain is a communal musculoskeletal ailment that deprives many individuals worldwide of doing their daily and normal activities. With the absence of external biomarkers, most of the symptoms of low back pain diseases seem similar, making the diagnosis process quite difficult. Application of artificial intelligence is beneficial in this regard. The paper deals with the design of an efficient knowledge base and a reliable inference engine for a medical expert system for treatment of low back pain. As many low back pain diseases have common clinical signs, consideration of only the dissimilar patterns of the diseases in the design of knowledge base would surely overcome the problem of processing the same symptoms over and over. The acquired knowledge is represented with a discernibility matrix that captures only the disparities among low back pain diseases. An inference mechanism has also been proposed, which uses the discernibility matrix for offering the diagnostic conclusions in a timely manner. The designed system has been tested with patient records empirically selected from the repository of ESI Hospital Sealdah, Kolkata. The test results show that the diagnostic inference generated by the proposed inference engine conforms to the conclusions made by the expert physicians. © Springer Nature Singapore Pte Ltd. 2020.
Exploring the impact of membrane transporters in abiotic stress mitigation: Advances and applications in plant resilience
(Elsevier Masson s.r.l., 2025) Manoranjan Biswal; Madhurya Ray; Soumya Shephalika Dash; Subrata Goswami; Stuti Sharma; Akhilesh Kumar Singh; Prakash Kumar Sarangi; Ram Prasad
Membrane transporters (MTs) are pivotal for maintaining cellular homeostasis and facilitating the movement of ions, water, and nutrients across cellular membranes, ensuring plant growth and development. These proteins are central in regulating the source-to-sink relationship, enabling efficient sugar and nutrient transport, and ensuring resilience against abiotic stresses such as salinity, drought, heat, cold, and heavy metal toxicity. Key transporters, including Na+/H+ antiporters and K+ channels, maintain ionic balance by mediating ion compartmentalization and efflux critical for plant survival, improving nutrient use efficiency. Additionally, nitrate-responsive signaling cascades, such as the miR444-OsMADS27 module, highlight the integration of nutrient sensing and stress adaptation mechanisms, promoting root growth and stress tolerance. Dynamic lipid and protein remodeling in the plasma membrane under abiotic stress ensures membrane fluidity and integrity, enabling optimal membrane transporter function. Recent insights into the roles of anion transporters, like the chloride channel AtCLCf, strengthen their significance in salinity tolerance by regulating ion efflux. This review aims to compile current findings from major crops, emphasising membrane transporter's genetic and functional diversity. Advances in understanding membrane transporter regulation and their interplay with membrane lipidomes provide avenues to enhance stress resilience and improve crop productivity under challenging environments. © 2025 Elsevier Masson SAS
Fighting with Cancer: A Common Man's Dilemma
(Springer Nature, 2022) S.K. Basu; Santanu Basu; Subrata Goswami; Saurabh Joshi
The impact of cancer diagnosis on the patient and the families is immense. The term cancer is quite frightening. It brings along a series of complicated thoughts about the disease, its course, treatment, associated difficulties, financial burden, social status, and existential issues. It traps the sufferers in a vicious loop of thoughts related to life, end of life, and thereafter. Another aspect that is mostly overlooked is the spiritual distress that comes along with the diagnosis of cancer. All these thoughts get amplified and increase psychological morbidity, which further gets compounded due to lack of knowledge and awareness about the disease and the ways to deal with it. This chapter broadly outlines the epidemiology and mechanism of the disease, types of cancer, various terminologies that are used, investigations that are undertaken, treatment options, and coping strategies during and beyond the process of disease and disability. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
Insect-plant-pathogens: toxicity, dependence, and defense dynamics
(Elsevier, 2024) S.K.M.D. Ajaharuddin; Kaushik Kumar Das; Payel Kar; Pritha Bandyopadhyay; Maksud Hasan Shah; Subrata Goswami
In nature, the insect-plant-pathogen interaction has diverse implications on each other. The insect and plant pathogens devour plant tissues and suck sap as their feed, which stir up damage to the plant. Plants have developed a variety of defense mechanisms in response to damage inflicted by herbivores and pathogens in order to protect themselves as well as minimize the degree of damage. Plants constantly look forward to novel ways to escape insect and pathogen attacks, whereas insects and pathogens also develop counter-adaptations. Such triumvirate interconnections pave the way for the formation of novel biotypes, metabolic modifications, toxicity, and resistance among all participants in the interaction. As a result, the evolution of a variety of plant defensive properties as well as counter-adaptive features in insects and pathogens. In this dynamic defense system, biochemical interactions are considered more significant than morphological ones. Various changes in plants, such as changes in gene expression, detoxification, glucosinolate metabolism, cell wall alterations, signal transduction & Ca2+ dependent signaling, etc., are used to resist various types of pathogens and insects. Plant defense, on the other hand, puts insects and pathogens under selection pressure. Plant-vector-pathogen coevolution, host-defense tactics, toxicity, selectivity of host plant responses, and plant-vector-pathogen relationships in this dynamic nature are covered in this chapter, which is a key component of developing integrated pest and disease management strategies. © 2024 Elsevier Inc. All rights reserved.
Integrating electrophysiology, behavioral response, and docking studies to decipher odorant-binding protein function in the brinjal shoot and fruit borer, Leucinodes orbonalis Guenee
(Springer Science and Business Media Deutschland GmbH, 2025) Selvam Saravanan; P. S. Shanmugam; Kesavan Subaharan; M. Murugan; Kolanchi Prakash; Karuppannasamy Ashok; Chandrasekaran Praveenkumar; Subrata Goswami; T. Srinivasan; Thiyagarajan Elaiyabharathi; Sampathrajan Vellaikumar
The brinjal shoot and fruit borer, Leucinodes orbonalis Guenée, inflicts significant yield losses in brinjal, often resulting in the extensive use of insecticides. Development of insecticide resistance and ecological concerns demand safer and species-specific alternatives. This study examines plant-derived volatile organic compounds (VOCs) as potential semiochemicals for its management. The present study employed electroantennography (EAG) to examine the summated neuronal response in the antennal of unmated male and female L. orbonalis moths to host plant VOCs. Both male and female antennae showed higher response when exposed to nonanal, α-terpineol, 2-ethyl-1-hexanol, linalool, methyl salicylate, and phenylacetaldehyde, with females showing greater sensitivity than males. The behavioral assays using a Y-tube olfactometer demonstrated significant attraction of moths towards 2-ethyl-1-hexanol, benzaldehyde, and phenylacetaldehyde. To further substantiate these findings, molecular docking studies were conducted using homology models of general odorant-binding proteins (GOBPs: GOBP1, GOBP2, and GOBP3) of L. orbonalis. Protein models were constructed through MODELLER, validated for structural accuracy, and docked with selected VOCs obtained from PubChem using AutoDock Vina. Among the three proteins, GOBP2 displayed the strongest and broadest ligand-binding affinities, followed by GOBP3 and GOBP1. Notably, high-affinity interactions with 2-ethyl-1-hexanol, benzaldehyde, and phenylacetaldehyde were characterized by π–π stacking, van der Waals forces, and hydrophobic bonding. The docking outcomes correspond closely with EAG and behavioral results, underscoring the potential of these VOCs as eco-friendly semiochemicals based management of L. orbonalis. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.
Integrative taxonomy of thrips infesting chilli in India: Morphological and molecular insights
(Springer Science and Business Media B.V., 2025) Chandrasekaran Praveenkumar; Saminathan Vangili Ramasamy; Remani Remani Rachana; Gandhi Ramasamy Gracy; Kesavan Subaharan; Preetha Gnanadhas; Sengottayan Senthil-Nathan; Selvam Saravanan; Subrata Goswami; Sampathrajan Vellaikumar; Chinnasamy Kavitha; Johnsi Lenin
Simultaneous infestation by multiple thrips species poses a major challenge in the cultivation of chillies (Capsicum annuum L.). Accurate identification of thrips species is essential for formulating effective management strategies. Identification of thrips is commonly done using the morphological characters, but adoption of molecular tools in tandem with morphological features will be an integrative approach for correct identification. Chillies are infested by an array of thrips species. In the current study, eight species of thrips infesting chillies across India were identified. Among them Thrips parvispinus Karny (48%) and Scirtothrips dorsalis Hood (24%) Hood were most prevalent. Identification of thrips species was confirmed using morphological features and DNA barcoding, showing close matches with entries in the Barcode of Life Data System (BOLD). Phylogenetic analysis revealed distinct clades for each species. Thrips subnudula (Karny), a first record from our observation in India infesting C. annuum was genetically distinct. Barcode divergence analysis indicated moderate intraspecific variation in T. parvispinus, with high variation and haplotype richness in S. dorsalis, and low variation in T. subnudula, which showed genetic uniformity. Analysis of molecular variance (AMOVA) showed 48.57% of genetic variation among populations and 51.43% within populations (Fst = 0.48569), indicating moderate genetic differentiation. These findings highlight the need for periodic surveillance of thrips species to monitor their distribution and genetic diversity that would enable in formulating effective management strategies for thrips infesting chillies. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.
Lattice-based fuzzy medical expert system for management of low back pain: A preliminary design
(Springer, 2020) Debarpita Santra; S.K. Basu; J.K. Mandal; Subrata Goswami
Low back pain (LBP) appears to be the foremost contributor to the years lived with disability globally, depriving many individuals across the nations of leading daily activities. Diagnosing LBP is quite challenging as it requires dealing with several clinical variables having no precisely quantified values. With the goal to design a reliable medical expert system for assessment and management of LBP, the research offers a lattice-based scheme for efficient representation of relevant medical knowledge, proposes a suitable methodology for design of a fuzzy knowledge base that can handle imprecision in knowledge, and derives a fuzzy inference system. A modular approach is taken to construct the fuzzy knowledge base, where each module is able to capture interrelated clinical knowledge about medical history, findings of physical examinations, and pathological investigation reports. The fuzzy inference system is designed based on the Mamdani method. For fuzzification, the design adopts triangular membership function; for defuzzification, the centroid of area technique is used. With the relevant medical knowledge being acquired from the expert physicians, a working prototype of the system has been built. The prototype has been successfully tested with some LBP patient records available at the ESI Hospital, Sealdah. The designed prototype is found to be clinically acceptable among the expert and non-expert physicians. © Springer Nature Singapore Pte Ltd. 2020.
Low back pain expert systems: Clinical resolution through probabilistic considerations and poset
(Elsevier B.V., 2021) Debarpita Santra; Subrata Goswami; Jyotsna Kumar Mandal; Swapan Kumar Basu
Objective: Proper diagnosis of Low Back Pain (LBP) is quite challenging in especially the developing countries like India. Though some developed countries prepared guidelines for evaluation of LBP with tests to detect psychological overlay, implementation of the recommendations becomes quite difficult in regular clinical practice, and different specialties of medicine offer different modes of management. Aiming at offering an expert-level diagnosis for the patients having LBP, this paper uses Artificial Intelligence (AI) to derive a clinically justified and highly sensitive LBP resolution technique. Materials and methods: The paper considers exhaustive knowledge for different LBP disorders (classified based on different pain generators), which have been represented using lattice structures to ensure completeness, non-redundancy, and optimality in the design of knowledge base. Further the representational enhancement of the knowledge has been done through construction of a hierarchical network, called RuleNet, using the concept of partially-ordered set (poset) with respect to the subset equality (⊆) relation. With implicit incorporation of probability within the knowledge, the RuleNet is used to derive reliable resolution logic along with effective resolution of uncertainties during clinical decision making. Results: The proposed methodology has been validated with clinical records of seventy seven LBP patients accessed from the database of ESI Hospital Sealdah, India over a period of one year from 2018 to 2019. Achieving 83% sensitivity of the proposed technique, the pain experts at the hospital find the design clinically satisfactory. The inferred outcomes have also been found to be homogeneous with the actual or original diagnosis. Discussions: The proposed approach achieves the clinical and computational efficiency by limiting the shortcomings of the existing methodologies for AI-based LBP diagnosis. While computational efficiency (with respect to both time and space complexity) is ensured by inferring clinical decisions through optimal processing of the knowledge items using poset, the clinical acceptability has been ascertained reaching to the most-likely diagnostic outcomes through probabilistic resolution of clinical uncertainties. Conclusion: The derived resolution technique, when embedded in LBP medical expert systems, would provide a fast, reliable, and affordable healthcare solution for this ailment to a wider range of general population suffering from LBP. The proposed scheme would significantly reduce the controversies and confusion in LBP treatment, and cut down the cost of unnecessary or inappropriate treatment and referral. © 2021 Elsevier B.V.
Medical expert system for low back pain management: design issues and conflict resolution with Bayesian network
(Springer Science and Business Media Deutschland GmbH, 2020) Debarpita Santra; Jyotsna Kumar Mandal; Swapan Kumar Basu; Subrata Goswami
The paper focuses on the development of a reliable medical expert system for diagnosis of low back pain (LBP) by proposing an efficient frame-based knowledge representation scheme and a suitable resolution logic with conflicts in outcomes being resolved using Bayesian network. Considering that LBP is classified into many diseases based on different pain generators, the proposed methodology infers non-conflicting LBP diseases sorted according to their chances of occurrence. A satisfactory clinical efficacy (average relative error − 0.09, recall 74.44%, precision 76.67%, accuracy 71.11%, and F1-score 73.88%) of the proposed methodology has been found after validating the design with empirically selected thirty LBP patient cases. Constraining that an inferred disease having chance of occurrence, prior to pathological investigations, below 0.75 (as set by four pain specialists) is not accepted clinically; the design can correctly identify, on average, 74.44% of actual diagnosis; and 76.67% of inferred diagnosis is included in actual diagnosis. With the predicted chance of occurrence being lower than 0.75 by a fraction of 0.09 on average, the proposed design performs well for 73.88% cases detecting 71.11% inferred outcomes as accurate. The design offers homogeneity to the actual outcomes, with the chi-squared static being calculated as 11.08 having 12 as degree of freedom. [Figure not available: see fulltext.] © 2020, International Federation for Medical and Biological Engineering.
Microbial-derived metal nanoparticles: Applications and perspective
(Elsevier, 2024) Soumya Shephalika Dash; Sagnika Das; Gouranga Saw; Partha Sarathi Tripathy; Kaushik Kumar Das; Subrata Goswami
Microbial-derived metal nanoparticles (MtNPs) have garnered significant attention as a novel class of nanomaterials with diverse applications across various domains. These nanoparticles, synthesized through the reduction of metal ions by a plethora of microorganisms including bacteria, fungi, algae, and viruses, have sparked significant interest due to their unique physicochemical properties and versatile applications. The unique synthesis mechanisms employed by microorganisms enable precise control over the size, shape, and composition of the resulting nanoparticles, offering advantages over conventional chemical synthesis methods. MtNPs exhibit exceptional catalytic, optical, and antimicrobial properties, making them promising candidates for applications in catalysis, sensing, imaging, and drug delivery. They also exhibit remarkable efficacy in environmental remediation, offering sustainable solutions for pollution control, wastewater treatment, and soil restoration. In agriculture, MtNPs offer avenues for enhancing crop yield, nutrient uptake, and pest management, thereby contributing to food security and sustainable agriculture practices. Additionally, their biocompatibility and low toxicity make them suitable for biomedical applications, including cancer therapy, wound healing, and diagnostic imaging. Furthermore, the sustainable and eco-friendly synthesis routes employed in their production align with the growing emphasis on green nanotechnology. Nevertheless, the burgeoning field of MtNPs holds great promise for addressing pressing societal and environmental challenges while fostering innovation in nanotechnology, but challenges such as scalability, reproducibility, and standardization remain, necessitating further research and development efforts. © 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
MicroRNAs in plant-insect interaction and insect pest control
(Elsevier, 2024) Subrata Goswami; Partha Sarathi Tripathy; Manish Gadekar; Maksud Hasan Shah; Soumya Shephalika Dash; S.K.M.D. Ajaharuddin
Plants interact with insects in a myriad of complex ways. Plants are posed as inevitable targets to several phytophagous insects and therefore have developed constitutive and induced defense mechanisms in response to herbivory. MicroRNAs (miRNAs) are a group of Small noncoding RNAs (sRNAs) regulating gene expression in eukaryotes either by degrading the complementary mRNA transcripts or through translational repression. During plant-insect interactions, both of them take advantage of miRNA-mediated regulation of key physiological processes for manipulating each other. miRNAs have been reported to provide epigenetic means of plant immunity against insect herbivores and also regulate offense strategies in many insects. Research on these micromanagers of gene expression shows the involvement of many miRNAs regulating plant growth and development genes, transcription factors, transmembrane receptors, and phytohormone signaling in plants in complex ways during insect herbivory. miRNAs, along with the elements of miRNA-biogenesis machinery, have a substantial influence on plant defense against insect pests. The irrefutable involvement of miRNAs in controlling the translational machinery of several genes during various biotic stress responses and developmental conditions makes them promising targets for agro-biotechnological approaches addressed to crop protection. They are also an important regulator of many key physiological processes in insects, and targeting insect miRNAs through anti-mRNA or mRNA mimics could pave the way for the development of innovative pest management strategies. Artificial miRNAs (amiRNAs) mediated RNA silencing strategies, plin-amiRs (plant-expressed insect pre-amiRs) are increasingly being probed for combatting insect pests in an eco-friendly and inheritable manner. © 2024 Elsevier Inc. All rights reserved.
Preface
(Springer Nature, 2022) S.K. Basu; Chinmay Kumar Panda; Subrata Goswami
[No abstract available]
Rough set based lattice structure for knowledge representation in medical expert systems: Low back pain management case study
(Elsevier Ltd, 2020) Debarpita Santra; Swapan Kumar Basu; Jyotsna Kumar Mandal; Subrata Goswami
The aim of medical knowledge representation is to capture detailed domain knowledge in a clinically efficient manner, and to offer reliable resolution with the acquired knowledge. The knowledge base should allow incremental growth with inclusion of updated knowledge over the time. Accommodating the knowledge acquired from a variety of knowledge sources by different knowledge engineers may lead to a redundant and inconsistent design of the knowledge base, increasing the storage size and the time for knowledge retrieval. In this paper, we have proposed a rough set based lattice framework for representation of knowledge in medical expert systems which overcomes the problem of redundancy and inconsistency in knowledge and offers computational efficiency with respect to both time and space. The proposed knowledge representation offers a flexible scheme for expressing diverse possibilities of inter-relatedness among the symptoms and diseases in a systematic manner within the lattice structures. Through our design, we generate an optimal set of decision rules for use during inference. Reliability of each rule is measured using a new metric called credibility factor, and the certainty and coverage factors of a decision rule have been re-defined. During inference, the medical expert system considers the highly reliable and certain rules first, and the possible and uncertain rules at the later stages, if recommended by physicians. The proposed scheme ensures completeness, consistency, integrity, non-redundancy, and ease of access. These qualities are automatically preserved in the designed knowledge base while being updated with the new knowledge of medical advancements. As a result, the overall maintenance cost of a medical expert system is significantly reduced. The proposed knowledge representation technique has been illustrated using an example from the domain of low back pain. Though the proposed technique has been demonstrated for low back pain, it offers a generalized scheme for knowledge representation and may be adopted by medical expert systems (e.g. pathology, psychology, and many other specialties) having complexity similar to this one; no application-specific knowledge representation technique needs to be designed. The medical expert system developed using this scheme may act as a standardized example for development of different unexplored or semi-explored health care automated systems. This scheme may also be applied for pattern recognition, rule mining, and conflict analysis in complex medical data domains. Our design will have a wide ranging impact towards finding low-cost, reliable and available healthcare solutions for different diseases, especially in primary care units where expert physicians are scarce. © 2019 Elsevier Ltd
Scheme for unstructured knowledge representation in medical expert system for low back pain management
(Springer Science and Business Media Deutschland GmbH, 2019) Debarpita Santra; Sounak Sadhukhan; S.K. Basu; Sayantika Das; Shreya Sinha; Subrata Goswami
A fundamental requirement to achieve effectiveness in a medical expert system is the proper representation of knowledge about a patient. Knowledge about a patient is stored in the expert system in terms of clinical records which should contain information about multiple visits of the patient. During each visit, several conversations are made between the patient and the consulting physician. These conversations, being unstructured in nature, cannot be stored in the computer using available structured knowledge representation schemes. So, we propose a recursive frame-based structure for representing clinical records. The frames related to a patient collectively form a frame system, where one frame may point to other frames. The proposed representation scheme is complete, consistent, and free from redundancy. © Springer Nature Singapore Pte Ltd. 2019.
SEASONAL INCIDENCE OF CRAMBIDAE PESTS ON SUMMER RICE IN SUBTROPICAL MADHYA PRADESH
(The Entomological Society of India, 2024) Manish Gadekar; Raju Kumar Panse; Subrata Goswami; Bhumika Tiwari; Subhashree Patnaik
The production and productivity of rice is constrained by various insect pests but very meagre information is available on the seasonal incidence of the Crambidae pests of rice in the subtropical region of Madhya Pradesh. The present study was undertaken on the seasonal incidence of Crambidae pests at the Regional Agricultural Research Station, College of Agriculture, Balaghat, Madhya Pradesh during January-May, 2022. Rice variety JRB-1 was sown in a 300 m2 plot, damage of pests were recorded and correlated with the weather data. Stem borer damage manifested in the form of deadhearts and white ears, started from second fortnight of February and gradually increased till late April. Leaf folder incidence was observed from early March to early April. Incidence of these were found to be correlated positively with temperature and wind velocity whereas, negatively with relative humidity and rainfall. The pattern of incidence of these pests of rice in the subtropical region of central India (Balaghat, MP) were more or less similar to those of the tropics. © 2024, The Entomological Society of India. All rights reserved.