Frontiers in insect science最新文献

{"title":"Sensitivity to cuticular hydrocarbons across the odorant receptor family in the Indian jumping ant, <i>Harpegnathos saltator</i>.","authors":"Røskva Tórhalsdóttir, Benjamin I Morris, Aiden Masters, Bogdan Sieriebriennikov, Amatullah Tawawalla, Lydia F Naughton, Deanna Cannizzaro, Jenna Longo, Kendall Ham, Bri Pomonis, Alex Lyford, Jocelyn G Millar, Gregory M Pask","doi":"10.3389/finsc.2026.1666444","DOIUrl":"https://doi.org/10.3389/finsc.2026.1666444","url":null,"abstract":"<p><strong>Introduction: </strong>Eusocial insects rely on the olfactory detection of cuticular hydrocarbons (CHCs) to mediate important social interactions, such as nestmate recognition and division of labor. In the ponerine ant <i>Harpegnathos saltator</i>, highly expanded odorant receptor (OR) families detect CHCs and mediate these eusocial behaviors at the molecular level. Previous studies have characterized <i>H. saltator</i> OR (<i>HsOr</i>) genes within the 9-exon and other large subfamilies, but it remains unclear how other <i>HsOr</i> subfamilies may contribute to CHC detection.</p><p><strong>Methods: </strong>Using heterologous expression in <i>Drosophila melanogaster</i> olfactory neurons, we characterized HsOr sensitivity more broadly across the gene family, outside the 9-exon subfamily, to a panel of hydrocarbons (HC).</p><p><strong>Results and discussion: </strong>Twenty-three HsOrs across sixteen subfamilies were screened, and several were found to be broadly tuned and weakly responsive to the HCs tested, except for HsOr152 which showed narrow tuning to a single HC found on the <i>H. saltator</i> cuticle. Lastly, we compiled and analyzed the HC responses from the 70 HsOrs from this and previous studies. This analysis suggests a combinatorial coding model of CHC detection, where several receptors across different subfamilies can contribute to the detection and discrimination of different CHCs. Our characterization of HsOrs provides functional insights into the molecular mechanisms of chemical communication among eusocial insects.</p>","PeriodicalId":517424,"journal":{"name":"Frontiers in insect science","volume":"6 ","pages":"1666444"},"PeriodicalIF":3.0,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13050904/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147635465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preventing spread of the invasive spotted lanternfly via texture-based automated egg detection.","authors":"Karla Negrete, Rhys Butler, Emily Wallis, Emily Magnani, Melissa Benzinger Mcglynn, Matthew McDonald, Nicolas J Alvarez, Maureen Tang","doi":"10.3389/finsc.2026.1678964","DOIUrl":"https://doi.org/10.3389/finsc.2026.1678964","url":null,"abstract":"<p><p>The invasive spotted lanternfly (<i>Lycorma delicatula</i>) threatens U.S. agriculture, particularly grape and tree fruit production. Early detection of egg masses is critical for limiting spread, yet current surveillance relies heavily on manual inspection, which is labor-intensive and difficult to scale. The lanternfly spreads primarily through human-assisted transport pathways, including trains, trucks, and freight infrastructure, enabling long-distance dispersal of egg masses. Here, we present a proof-of-concept automated image classification pipeline for SLF egg mass detection based exclusively on spatial texture features. Using a curated laboratory image dataset and descriptors including Gray-Level Co-occurrence Matrix (GLCM), GLDS (Gray Level Difference Statistics), and Hu and Zernike moments, we implemented a feature filtering and selection strategy to construct an interpretable, low-dimensional model. The final image-level screening classifier, a support vector machine with a radial basis function kernel trained on 12 selected features, achieved a mean Matthews Correlation Coefficient (MCC) of 0.881 (SD 0.037) under 5-fold stratified cross-validation. Generalization performance was evaluated on a held-out test set using bootstrap resampling (1,000 iterations), yielding a mean MCC of 0.836 (SD 0.037; 95% CI: 0.761-0.904). This image-level proof-of-concept under controlled imaging demonstrates that low-cost, scalable, and interpretable texture-based computer vision approaches may provide reliable early detection of SLF egg masses, supporting human-in-the-loop surveillance efforts in high-risk transport corridors and improving cost and reliability over manual inspection workflows.</p>","PeriodicalId":517424,"journal":{"name":"Frontiers in insect science","volume":"6 ","pages":"1678964"},"PeriodicalIF":3.0,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13051359/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147635421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fruit fly species (Diptera: Tephritidae) associated with fruit orchards in the province of Luya, Amazonas, Peru.","authors":"Enistein Reyna-Rivera, Vilma Aguilar-Rafael, Wagner Meza-Maicelo, Henry W Santillan-Culquimboz, Duber Banda-Martinez, Luis Cubas-Vasquez, Santos Leiva-Espinoza","doi":"10.3389/finsc.2026.1789891","DOIUrl":"https://doi.org/10.3389/finsc.2026.1789891","url":null,"abstract":"<p><p>In the province of Luya, the presence of fruit flies (Tephritidae) in fruit orchards causes significant losses to the family economy. This study aimed to identify, using morphological and molecular methods, the Tephritidae species associated with fruit hosts and to evaluate host preference. Fruits were collected from orchards at different geographic points in the province of Luya; these fruits were transferred to the laboratory under controlled conditions and placed in plastic containers on sterilized soil to favor pupation. When adults emerged, they were fed with sucrose. For morphological identification, adult females were used and pictorial keys were employed, while for molecular analysis, the cytochrome c oxidase subunit I (Cox1) region was amplified using the primers LCO1490/HCO2198 and LepF1/LepR1. After identification, fruit fly preference for specific fruit species was evaluated by associating the identified species with the fruits from which they emerged. Nine fruit fly species were identified, corresponding to eight species of the genus <i>Anastrepha</i> (<i>Anastrepha fraterculus</i>, <i>A. obliqua</i>, <i>A. striata</i>, <i>A. distincta</i>, <i>A. grandis</i>, <i>A. ornata</i>, <i>A. leptozona</i>, and <i>A. nolazcoae</i>) and one species of the genus <i>Ceratitis</i> (<i>Ceratitis capitata</i>), associated with 19 hosts from 11 botanical families. The fruits with the highest preference were <i>Psidium guajava</i> and <i>Campomanesia liniatifolia</i>. These results highlight the richness of <i>Tephritidae</i> in the province of Luya and represent the first records of these nine species for the Amazonas region, expanding their geographical distribution in Peru, emphasizing the utility of integrative approaches for reliable taxonomic identification.</p>","PeriodicalId":517424,"journal":{"name":"Frontiers in insect science","volume":"6 ","pages":"1789891"},"PeriodicalIF":3.0,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13038917/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147611216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Morphometric and molecular insights into <i>Bactrocera dorsalis</i> (Hendel, 1912) (Diptera: Tephritidae) infestation on <i>Ziziphus mauritiana</i> Lamk. (Indian Jujube).","authors":"Kavin Palanivelu, Usharani Balakrishnan, Kamala Jayanthi Pagadala Damodharam, Suresh Krishnasamy, Sandeep Singh, Arul Dhayalan","doi":"10.3389/finsc.2026.1716183","DOIUrl":"https://doi.org/10.3389/finsc.2026.1716183","url":null,"abstract":"<p><p><i>Bactrocera dorsalis</i> (Diptera: Tephritidae), is an oriental fruit fly, commonly infesting fruit crops, especially Indian jujube (<i>Ziziphus mauritiana</i>) and other fruit crops in India. This study combined morphometric and molecular approaches to evaluate population variability. Eggs were creamy white, elliptical, and measured length and width of 1.30 and 0.23 mm. Mature maggots attained 7.87 and 1.94 mm, while pupae averaged 4.91 and 1.90 mm. Adults exhibited clear sexual dimorphism, with females larger (body length 6.87 mm; wing expanse 12.48 mm) than males (body length 5.74 mm; wing expanse 10.48 mm). Principal component analysis indicated that male traits such as body length and maggot size loaded strongly on the first component, while female wing and thoracic traits contributed predominantly to the second component, cumulatively explaining over 100% of the variation. Molecular characterization using COI gene sequences revealed phylogenetic clustering patterns that were consistent with the morphometric differentiation observed among populations and indicated close phylogenetic proximity of Indian populations to <i>B. invadens</i> and <i>B. kandiensis</i>. The integration of morphometric and molecular datasets thus provides a reliable framework for distinguishing populations of <i>B. dorsalis</i>, which is essential for accurate diagnostics, monitoring, and region-specific management strategies.</p>","PeriodicalId":517424,"journal":{"name":"Frontiers in insect science","volume":"6 ","pages":"1716183"},"PeriodicalIF":3.0,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036555/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147597457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometric trends and emerging frontiers in RNA interference research for mosquito control (2010-2025).","authors":"Nina Ghislaine Yensii, Fabrice Banadzem Kernyuy, Theophilus Nang Wakai, Titilope Modupe Dokunmu, Olubanke Olujoke Ogunlana","doi":"10.3389/finsc.2026.1758530","DOIUrl":"https://doi.org/10.3389/finsc.2026.1758530","url":null,"abstract":"<p><strong>Background: </strong>Mosquito-borne diseases, such as malaria, dengue, and Zika, pose significant global health challenges, intensified by rising insecticide resistance and environmental concerns associated with conventional control methods. RNA interference (RNAi) offers a promising, eco-friendly, and species-specific approach for mosquito vector control by silencing critical genes. This study aims to assess the research landscape of RNAi in mosquitoes through a bibliometric analysis.</p><p><strong>Methods: </strong>Relevant publications from January 2010 to October 2025 were retrieved from the Web of Science and Scopus targeted RNAi-related keywords. Only peer-reviewed, English-language original research articles were included. Data were analyzed using VOSviewer for network visualization, Bibliometrix for bibliometric metrics, and Microsoft Excel for descriptive analysis.</p><p><strong>Results: </strong>The analysis included 480 articles, revealing a steady increase in publications, with a peak in 2020. The United States (45.4%) and China (22.1%) led research output, while African countries were notably underrepresented. Keyword co-occurrence analysis indicated a shift from foundational gene function studies to applied technologies, including nanoparticle and yeast-mediated RNAi delivery systems. High-impact journals like Proceedings of the National Academy of Sciences and Parasites & Vectors were prominent publication venues. Most studies targeted several genes, with the majority in Aedes species, then Anopheles species, and the least Culex species.</p><p><strong>Conclusion: </strong>RNAi research in mosquitoes has advanced significantly, evolving toward practical vector control solutions, yet challenges persist in delivery efficiency and field application. The lack of African representation highlights the need for equitable global collaboration. Strengthened international partnerships and increased regional investment are essential to realize RNAi's potential for sustainable, effective mosquito control.</p>","PeriodicalId":517424,"journal":{"name":"Frontiers in insect science","volume":"6 ","pages":"1758530"},"PeriodicalIF":3.0,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036116/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147597484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal influence on life history traits and population parameters of the olive moth, <i>Prays oleae</i> (Bernard) (Lepidoptera: Praydidae): implications for temperature-based pest management.","authors":"Mohamed El Aalaoui, Mohamed Sbaghi","doi":"10.3389/finsc.2026.1763467","DOIUrl":"10.3389/finsc.2026.1763467","url":null,"abstract":"<p><strong>Introduction: </strong>The olive moth, <i>Prays oleae</i> (Bernard) (Lepidoptera: Praydidae), is a major pest of olive crops worldwide.</p><p><strong>Methods: </strong>This study examined the effects of constant temperatures (15-35 °C) on its development, survival, and reproduction, and evaluated nine temperature-dependent models (Linear, Lactin-2, β type, Brière-1 and 2, Polynomial, Shi, SSI, and Taylor).</p><p><strong>Results and discussion: </strong>Developmental duration decreased with temperature, with egg incubation ranging from 14.1 days at 15 °C to 2.6 ± 0.1 days at 35 °C, pre-adult development ranging from 64.9 days (male) and 68.3 days (female) at 15 °C to 27.1 days and 27.8 days at 35 °C, with males generally developing faster than females except at 28 and 32 °C, and adult life span declining from 76.8-81.2 days at 15 °C to 34.1-35.4 days at 32 °C. Survival followed a bell-shaped pattern, peaking at 25 °C for eggs (79.93%), larvae (90.87%), and pupae (66.0%). Kaplan-Meier analysis indicated faster mortality at higher temperatures (LT₅₀ = 35 days at 32 °C vs. 79 days at 15 °C). Pupal weight decreased with temperature, with females consistently heavier than males (15 °C: 7.50 vs. 6.40 mg; 32 °C: 4.88 vs. 4.40 mg). Pupal deformities were marginal (3.1-10.8%), whereas adult deformities increased at temperature extremes (14.9-19.8%). Fecundity peaked at 25 °C (380.7 eggs/female), oviposition was longest at 25 °C (12.6 days), and pre-oviposition decreased from 4.9 days (15 °C) to 1.6 days (32 °C). Model evaluation showed Brière-2 provided the most biologically realistic thermal thresholds (<i>T_L</i>  = 4.3-15 °C, <i>T_opt</i>  = 28-34 °C, <i>T_H</i>  = 37.8-42.9 °C).</p><p><strong>Conclusion: </strong>Overall, <i>P. oleae</i> develops and reproduces optimally at 25-28 °C, providing critical data for predicting population dynamics and guiding temperature-based management strategies in olive orchards.</p>","PeriodicalId":517424,"journal":{"name":"Frontiers in insect science","volume":"6 ","pages":"1763467"},"PeriodicalIF":3.0,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13021578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147577374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the new product Norroa™ against <i>Varroa destructor</i> in managed honey bee (<i>Apis mellifera</i>) colonies.","authors":"Devan Rawn, Cody Prouty, Asmita Gautam, Matthew Jamison, Win Talton, Katie Youngs, Ken Narva, Brian Manley, Cameron Jack","doi":"10.3389/finsc.2026.1751606","DOIUrl":"10.3389/finsc.2026.1751606","url":null,"abstract":"<p><strong>Introduction: </strong>Globally, beekeepers must manage the invasive mite pest <i>Varroa destructor</i>. The mite's populations can grow quickly, overwhelming honey bee colonies through direct parasitism and the transmission of honey bee viruses. RNA interference is promising next-generation tool and has been demonstrated to control invertebrate pest populations. The novel product Norroa™ is the first of its kind marketed to beekeepers for the control of <i>V. destructor</i>. Field-level studies are critical to understanding the efficacy of the product and how to fit it into integrated pest management plans.</p><p><strong>Methods: </strong>Field studies were conducted to test the effectiveness of Norroa™ during a nectar-flow season and a nectar-dearth season in Florida. In each field trial, 36 colonies were established for testing. Mite infestation rates were measured throughout the trials and mites were assessed for gene knockdown by determining RNA concentrations from the target gene. A final trial was conducted uncapping honey bee pupae and examining mite reproduction.</p><p><strong>Results: </strong>During the nectar dearth, mite numbers started higher (4.56 mites/100 bees) and increased more in control colonies compared with the treated colonies, but differences were not significant. During the nectar-flow, Norroa™ maintained <i>V. destructor</i> populations at or below the initial infestation rate (2.31 mites/100 bees) for twelve weeks, compared with the control group that grew significantly higher than treated colonies. Mites from colonies that had been treated with Norroa™ were significantly less likely to lay an egg, or have any offspring emerge from the eggs laid.</p><p><strong>Discussion: </strong>Research related to biological methods of control are currently under-studied relative to chemical treatments. These trials demonstrate the promise of a new tool for beekeepers to control <i>V. destructor</i> as part of a sustainable IPM approach.</p>","PeriodicalId":517424,"journal":{"name":"Frontiers in insect science","volume":"6 ","pages":"1751606"},"PeriodicalIF":3.0,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13013518/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147523154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances in male sex separation for the support of mosquito control programs.","authors":"Molly Duman-Scheel","doi":"10.3389/finsc.2026.1773663","DOIUrl":"10.3389/finsc.2026.1773663","url":null,"abstract":"<p><p>Several mosquito control technologies, including the sterile insect technique (SIT), the incompatible insect technique (IIT), and a variety of genetic technologies are emerging as promising solutions for combatting insecticide resistance and the spread of vector-borne diseases. These approaches involve mass releases of male mosquitoes in an effort to suppress mosquito populations in an eco-friendly manner. At small scale, male mosquito selection can be achieved through the use of mechanical separation techniques, but such methods are not sufficient for scaled implementation of emerging mosquito population control technologies. This review discusses mechanical, genetic, and automated mosquito sex sorting techniques that have emerged to address the need for scaled male mosquito production, as well as the potential contributions of RNA interference (RNAi) to facilitate this process. One RNAi method utilizes the oral delivery of yeast expressing interfering RNA targeting genes required for female larval survival. The yeast, which can be incorporated into normal insect larval diets, enables male sex selection during larval rearing in mosquitoes and could easily be extended to other insects. RNAi-mediated sex-sorting technologies, in combination with mechanical, genetic, and automated sorting technologies, could facilitate the scaled production of adult males in support of global insect population suppression efforts.</p>","PeriodicalId":517424,"journal":{"name":"Frontiers in insect science","volume":"6 ","pages":"1773663"},"PeriodicalIF":3.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13008878/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147518071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Pest-smart strategies for improved eco-efficiency in agriculture, forestry and communities.","authors":"George B Frisvold, Thomas M Chappell, Ashfaq A Sial, Roger D Magarey","doi":"10.3389/finsc.2026.1795406","DOIUrl":"10.3389/finsc.2026.1795406","url":null,"abstract":"","PeriodicalId":517424,"journal":{"name":"Frontiers in insect science","volume":"6 ","pages":"1795406"},"PeriodicalIF":3.0,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12992222/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147483008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engineering smallholder common bean cropping systems with flowering plants increases hoverfly populations and crop yields.","authors":"Yamikani Kaliwo, Ellen Kumchenga, Yolice L B Tembo, Trust Kasambala Donga, Vernon H Kabambe, Philip C Stevenson, Steven R Belmain","doi":"10.3389/finsc.2026.1684424","DOIUrl":"https://doi.org/10.3389/finsc.2026.1684424","url":null,"abstract":"<p><p>Bean aphids are a major constraint to bean production worldwide and are commonly managed through intensive pesticide use. In many farming systems, particularly where crop production is increasingly intensified, reliance on chemical control has reduced the use and the appreciation of agroecological pest management strategies, including conservation biological control. The widespread application of pesticides not only suppresses natural enemies of aphids but also contributes to broader declines in insect diversity, especially when combined with the loss of non-crop habitats that support beneficial insects. To address this, we assessed whether engineering bean crop habitats with flowering plants could enhance adult hoverfly populations and increase hoverfly larval abundance within bean fields. The potential of four flowering plant species (<i>Galinsoga parviflora, Ocimum basilicum, Bidens pilosa</i> and <i>Ageratum conyzoides</i>) grown around bean crops to attract hoverflies was evaluated. Bean crops surrounded by flowering plant species were able to reduce aphid numbers and damage by 51% compared to the control treatment which had no field margin. Bean fields surrounded by <i>O. basilicum</i> had the lowest aphid damage score (1.2) and highest bean yield (917 kg/ha). Overall, bean crops surrounded by flowering plant species yielded between 621 to 917 kg/ha, which was 22-42% higher than the untreated control (509 kg/ha). Such evidence may help support policies that promote agroecological practices instead of synthetic pesticides.</p>","PeriodicalId":517424,"journal":{"name":"Frontiers in insect science","volume":"6 ","pages":"1684424"},"PeriodicalIF":3.0,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12975945/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147446400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}