Rearing protocol of Euschistus heros (F.)(Heteroptera: Pentatomidae) using soybean grains with different crude protein contents

Rearing protocol of Euschistus heros (F.)(Heteroptera: Pentatomidae) using soybean grains with different crude protein contents | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Rearing protocol of Euschistus heros (F.)(Heteroptera: Pentatomidae) using soybean grains with different crude protein contents Matheus Alves Carvalho, Amanda Lopes Ferreira, Paulo Vitor Alves Arantes, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7775481/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The neotropical brown stink bug, Euschistus heros (F.) (Hemiptera: Pentatomidae), is one of the main soybean pests in South America, causing significant yield and quality losses. Current management relies heavily on synthetic insecticides, which pose environmental and health risks, while sustainable alternatives such as biological control are limited by the availability of parasitoids. The large-scale production of egg parasitoids requires continuous stink bug colonies, which are traditionally maintained on fresh green bean pods—an approach hindered by seasonality, perishability, and high labor costs. This study aimed to evaluate the feasibility of rearing E. heros exclusively on dry soybean grains, with emphasis on the effects of different crude protein contents on insect development and reproduction. Two experiments were conducted: the first compared nymphal performance on soybean, peanut, and common bean seeds; the second assessed biological parameters of insects fed on eight soybean lines differing in protein content (29.6–41.3%). Results demonstrated that dry soybean and peanut seeds supported nymphal survival and development, while all nymphs fed on common bean died within three days. Across soybean lines, protein content did not significantly influence developmental time (~ 22 days), survival (46.4–78.6%), adult mass, longevity, fecundity, or sex ratio. Females developed slightly faster and were heavier than males, consistent with sexual dimorphism in stink bugs. The findings confirm that dry soybean grains, regardless of protein levels, are a viable year-round diet for E. heros , offering a practical, low-maintenance, and cost-effective alternative to fresh diets. This protocol enhances the scalability of parasitoid production programs, supporting integrated pest management strategies in soybean systems. Heteroptera biological control laboratory mass rearing neotropical brown stink bug Pentatomidae Introdution Stink bugs, particularly those within the Pentatomidae family, are considered as a major threat to soybean ( Glycine max (L.) Merrill). crops in diverse regions worldwide, reducing grain yield and quality. Among them, the neotropical brown stink bug Euschistus heros (F.) is the most abundant in South America, especially in the central region of Brazil. The management of stink bugs in soybeans has been carried out mainly with the use of synthetic insecticides, which have the potential to cause damage to the environment and human health. Additionally, the intensive use of fossil fuel-based insecticides contributes to an increase in the carbon footprint and indirectly to climate changes and its undesirable effects, such as global warming. Alternatively, the use of biological control agents is a more sustainable pest management tool, with reduced undesirable negative effects. Extensive research has been carried out in the last decades demonstrating the effectiveness of using egg parasitoids to control soybean stink bugs (Bueno et al. 2024 ). However, despite the high demand by farmers, there is still a shortage in the supply of egg parasitoids-based products, compared to synthetic insecticides. In Brazil, only 10 egg parasitoid-based products have been registered for use on soybeans to date. In comparison, there are 116 synthetic insecticides registered for the control of stink bugs in soybeans, based on 32 active ingredients (or combinations of a.i) (BRASIL 2025). One of the reasons for this difference is that the production of parasitoids is carried out directly on the eggs of the stink bug, and therefore, it is necessary to maintain a stink bug mass rearing in the laboratory, usually using fresh bean pods as the diet (Mermer et al. 2023 ; Savaris et al. 2022; Taylor et al. 2017 ). Attempts to mass rearing this stink bug using fresh vegetable hosts were first made in 1943 (Menusan 1943 ). A similar protocol is still in use nowadays (e.g., (Francati et al. 2019 ; Horrocks et al. 2020 ; Rojas e Morales-Ramos 2017), with only minimum improvements, including mixing fresh foods, such as green bean pods ( Phaseolus vulgaris L.) and broccoli ( Brassica oleraceae L.) with dry foods, such as seeds of soybeans, peanuts ( Arachis hypogea L.), and sunflower ( Helianthus annuu s L.), which are normally replaced every three days and a source of water, generally refreshed daily. However, fresh bean pods are highly perishable and not supplied continuously over the year, which results in losses in the stink bug lab rearing. For a large scale production of parasitoids, cultivating beans to get fresh pods is not always an option, because it demands time and human resources. More recently, artificial diets for E. heros have been developed to reduce the dependence on fresh food. Despite the success, the preparation of the diet still requires a considerable amount of labor and incurs costs for the diet componentes (Fortes et al. 2006 ; Mendoza et al. 2016 ; Panizzi et al. 2000 ). Ideally, the lab rearing protocol should be simple, using foods that are available and easy to obtain all year round and that can be stored for long periods, such as dried soybeans. This type of food would reduce the frequency of maintenance of the insect colonies, contributing to reducing the production costs and increasing the viability of large scale production of parasitoids. In the present work, we present a laboratory rearing protocol of the stink bug E. heros in soybeans and other leguminous grains, as an alternative to the use of fresh bean pods. Material and Methods Insects The experiments were carried out using 2nd instar nymphs of E. heros from the laboratory colony maintained at Embrapa Arroz e Feijão. The colony was started with adult insects collected from soybean fields, in Santo Antonio de Goias, Goias State, Brazil (16° 28' 00” S, 49° 17' 00” W; 823 m asl), and managed as follows. Adult stink bugs were kept under plastic cages [20(H) × 20(W) × 25(D) cm] lined at the bottom with paper towels. Insects were fed with green bean ( P. vulgaris ) pods, peanut ( A. hypogaea ) and soybean ( G. max ) grains. Food was replaced every 3–4 days. Voil fabric strips (3 x 30 cm) hanging from the top of the cage were used as the oviposition substrate. Eggs deposited on the fabric strips were removed at each food change and placed on petri dishes. Nymphs were maintained in petri dishes (9 cm) until they reached the 2nd instar, when they were transferred to 80ml plastic bowls (5 cm (D) x 5.5 cm (H)) lined at the bottom with a paper towel and containing the same natural diet offered to the adults. Food was replaced every 3–4 days, until adult emergence. Ten days after emergence, the adults were transferred to the oviposition cages described before. The rearing room was kept at 26 ± 2°C, relative humidity of 60 ± 10% and photoperiod of 14:10h (L:D). Biology of E. heros nymphs fed on dry grains A preliminary experiment was carried out with 2nd instar nymphs isolated in 80 mL plastic cups and fed on ripe (dry) grains of one of these leguminous species: soybean, common bean or peanuts. Later, a second experiment was carried out only with soybean grains, from eight lines differing in their protein contents (Table 1 ), which was determined by the technique of near-infrared spectroscopy (NIRS - Near Infrared Reflectance Spectroscope - Thermo Fisher Scientific Waltham, MA, USA - model–FT-NIR Antaris II), with readings in triplicate, adapted from (Shi et al. 2022 ). All seeds were obtained from the field, produced using the regular agronomic recommendations, including insecticide sprays. Both experiments were carried out in a completely randomized design, with 112 replicates/treatment in the first experiment and 28 replicates in the second, each replicate consisting of one insect. The development of nymphs was observed every day, registering the nymphal stage of each individual and nymph mortality until adult emergence. Development of E. heros adults fed with soybean grains One day after adult emergence, couples of one male and one female were separated in plastic cages similar to those used for the biology of nymphs. Each cage contained the same food source offered to the insects in the younger stages. Soybean seeds were replaced once a week. Insects were observed daily to evaluate their longevity. Eggs were collected and kept in microtubes (1.5ml) until the emergence of 1st instar nymphs. Data analysis Experiments were carried out in a completely randomized design. At the nymph stage, the evaluated variables were instar duration (days) and nymph mortality (%). After adult emergence, adult insects were sexed and weighed (mg). At the adult stage, insects were evaluated for number of eggs/couple and adult longevity (days). The data analyses were performed using the R 4.0.1 software (R CORE TEAM 2022). Developmental time data of the nymphal stage, adult’s mass at 1st day after emergence, adult longevity and number of eggs/couple were submitted to a resampling procedure by parametric bootstrap and ANOVA. Multiple comparison of means (p < 0.05) was performed using the R package pbANOVA (Alver e Zhang 2023). Total nymph mortality (from 2nd to 5th instar) on different soybean lines was compared by the chi-square test. Results In the first experiment, there was no difference in the survival, developmental time and weight of insects fed on soybean or peanut (Table 1). However, 100% of the insects on the common bean treatment died after 3 days. The protein contents of the six soybean lines used in the second experiment varied from 29.6 to 41.3%, although this difference was not significant (Table 2). In this experiment, the average development time was ~ 22 days (2nd instar - adult) and it did not significantly differ among soybean lines (Table 2). Females developed significantly faster (22.2±0.20 days) and presented higher average mass (80.0±1.23 mg) than males (23.1±0.30 days; 71.1±1.45 mg) (Table 2). There was no significant difference in the developmental time and mass of insects associated with the different protein contents of the soybean lines. Insect survival (from 2nd instar to adult) on the evaluated soybean lines varied from 46.4 to 78.6%, but this difference was not significant (Table 2). Longevity of adult females varied from 21 to 42.7 days, while for males the interval was between 26 to 44.7 days (Table 3). The pre-oviposition period varied between 8 days (on one the highest protein content soybean lines) to 17.2 days (on the lowest protein content soybean line), although this difference was not significant (Table 3). The number of eggs/females also differ between the soybean lines with the lowest and the highest protein contents (from 92.8 to 168), but not significantly (Table 3). The percentage of females that oviposited varied from 25% to 100%. Table 1 Biological parameters of the neotropical brown stink bug Euschistus heros (L.) (Hemiptera: Pentatomidae) nymphs fed on ripe peanut ( Arachis hypogaea L.), soybean ( Glycine max L.) and common bean ( Phaseolus vulgaris L.) seeds. Treatment Weight (mg) ± SE Total time of development (2nd instar- Adult) (day) ± SE Total number Insect survival (%) 2nd - adult Sex Ratio (Female/(Female + Male)) Female Male Female Male Female Male Peanut 92.1±82.31a 85.4±30.54a 21.9±0.98a 22.2±0.53a 46 40 63 0,46 Soybean 95.9±38.55a 83.5±38.95a 21,4±0,72a 22,1±0,80a 41 33 62 0,58 Bean 0 0 0 0 0 0 0 0 Means followed by the same letter in the columns are not significantly different by Tukey’s test (p<0.05). Table 2 Biological parameters of the neotropical brown stink bug Euschistus heros (L.) (Hemiptera: Pentatomidae) nymphs fed on ripe soybean ( Glycine max L.) seeds with different protein contents. Means followed by the same letter in the columns are not significantly different by Tukey’s test (p<0.05). Table 3 Biological parameters of the neotropical brown stink bug Euschistus heros (L.) (Hemiptera: Pentatomidae) adults fed on ripe soybean seeds with different protein contents. Means with the same letter in the columns are not significantly different by Tukey’s test (p<0.05). Table 4 Biological parameters of the neotropical stink bug Euschistus heros (L.) (Hemiptera: Pentatomidae) reared on different sources of food, as reported in the literature. Reference Type of diet Diet components Insect survival (nymph-adult, %) Developmental time (days) Mass of individual adults (mg) Number of eggs/female Present work Natural dry Dry soybean seeds 46.4 - 78.6 22.2 (female) 23.1 (male) 80.0 (female) 71.1 (male) 92 - 168 Azambuja et al 2013 Natural fresh Mature soybean seeds previously soaked in water 47.5 36.6 66.3 (female) 65 (male) 80.5 Azambuja et al 2013 Natural fresh Fresh green bean pods, raw peanuts and ligustrum fruits 52.5 27.2 76.9 (female) 74.3 (male) 453.6 Fortes et al 2006 Natural fresh Soybeans, peanuts and fresh ligustrum fruits 81.6 24.1 84.3 (female) 81.2 (male) 266.2 Mendoza et al 2016 Natural fresh Fresh green beans and peanuts 82 32.2 Not presented Not presented (Oliveira et al. 2016) Natural fresh Fresh bean pods, soybeans, peanuts and sunflower 49.5 31.4 83.7 (female) 73.9 (male) 348.2 (total in 40 days) Fortes et al 2006 Artificial Wheat germ, soybean protein, potato starch, vitamins and other ingredients 64.1 - 77.8 25.7 - 26.9 68.1 - 78.4 (female) 66.4 - 71.5 (male) 120.6 -213.4 Mendoza et al 2016 Artificial Green beans, peanuts and other ingredients 20.3 - 51.8 27.7 85.6 (female) 76.4 (male) 171 – 286 Discussion Laboratory rearing of stink bugs is a crucial step in the production of egg parasitoids to be used in biological control management programs. Maintaining insect colonies is challenging, especially given the difficulty of obtaining adequate, insecticide-free food sources year-round. Stink bug laboratory colonies are usually kept on green bean pods, which are difficult to obtain out of the bean cropping season. Additionally, as a highly perishable food, green bean pods are difficult to store for long periods. Our results showed it is possible to keep a laboratory rearing of the neotropical brown stink bug E. heros on ripe seeds of soybeans, regardless of their protein contents. This represents a significant improvement in the process of egg parasitoid production. The percentage of insect survival observed in our study was similar to that reported in other studies on the biology of this stink bug, using natural fresh diets (including fresh green pods of common bean and/or soybean etc.) (Table 4 ) and a little higher than reported in a study with an artificial diet (Mendoza et al. 2016 ). Among these previous studies, the highest survival rate (82%) was reported for a natural diet containing fresh green beans and peanuts (Fortes et al. 2006 ). Some of the soybean lines used in the present study resulted in high survival rates, reaching 78%, in contrast with a survival of only 47.5% on soybean seeds reported in another study (Azambuja et al. 2013 ). The developmental time of nymphs observed in our study was shorter than that found in previous studies, but the mass of individual adults was similar to that previously reported. It is possible that the shorter developmental time observed in the present study resulted from higher temperatures and the type of insect cages used. In general, the developmental time of insects was longer on fresh diets, compared to our study and to other studies that used artificial diets (Fortes et al. 2006 ; Mendoza et al. 2016 ). In the present study, females developed faster and presented higher average mass than males. Regarding insect weight, this result is as expected, since females are usually larger than males (Stillwell et al. 2010 ), but the shorter developmental time of females is an exception to the rule. In a meta-analysis study, for most species, the gender with the highest mass is usually the one that presents longer developmental time as well (Teder 2014 ). In most soybean lines, the number of females was higher than males, resulting in a sex ratio from 0.59 to 0.71, except for the line 7780-4 (0.5). A lower sex ratio was observed in a previous study for E. heros fed on natural (fresh) and artificial diets (around 0.5) (Fortes et al. 2006 ) and even lower (0.46) for Diceraeus furcatus on a mix of fresh and dry foods (Savaris et al. 2022). In conclusion, our findings demonstrate that ripe soybean seeds, regardless of their protein content, can successfully sustain laboratory colonies of E. heros, achieving survival, development, and adult mass comparable to or better than those reported with traditional fresh diets. This alternative food source not only overcomes the logistical and seasonal limitations associated with green bean pods but also offers a practical, long-term solution for maintaining stink bug colonies in support of egg parasitoid production programs. By reducing dependence on highly perishable, hard-to-source diets, this approach has the potential to improve the efficiency, continuity, and scalability of biological control initiatives targeting agricultural pests. Declarations Contributions MAC, ALF, PVAA, PVP and EH planned the study; MAC, ALF and PVAA executed the work in the laboratory; EH, ALF and PVP analyzed the data and wrote the manuscript; all authors revised the manuscript before its final submission to the journal. Funding This study was financed by the Brazilian Agricultural Research Corporation – Embrapa (Grant nº 20.20.03.003.00.00) and to the Brazilian Council for Scientific and Technological Development – CNPq for awarding undergrad research scholarships to MAC and PVAA and a PhD scholarship to ALF. Ethical Approval Not applicable. Conflict of Interest The authors declare no competing interests. References Alver S, Zhang G. Multiple comparisons of treatment against control under unequal variances using parametric bootstrap. J. Appl. Stat. 2023;51(10):1861–77. Azambuja R, Degrande PE, Pereira FF. Comparative biology of Euschistus heros (F.) (Hemiptera: Pentatomidae) feeding on cotton and soybean reproductive structures. Neotrop. 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Sexual size dimorphism requires a corresponding sex difference in development time: a meta‐analysis in insects. Funct. Ecol. [Internet]. 2014 [citado 1 o de outubro de 2025];28(2). Recuperado de: https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2435.12172 Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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12:19:47","extension":"html","order_by":6,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":82901,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7775481/v1/99db8cf26f705f8349b660db.html"},{"id":96453111,"identity":"758e934f-076b-4a16-aba9-641594de402b","added_by":"auto","created_at":"2025-11-21 09:58:11","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":901975,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7775481/v1/54996e3b-fdf7-4648-bafb-30371b5dc5f9.pdf"}],"financialInterests":"","formattedTitle":"Rearing protocol of Euschistus heros (F.)(Heteroptera: Pentatomidae) using soybean grains with different crude protein contents","fulltext":[{"header":"Introdution","content":"\u003cp\u003eStink bugs, particularly those within the Pentatomidae family, are considered as a major threat to soybean (\u003cem\u003eGlycine max\u003c/em\u003e (L.) Merrill). crops in diverse regions worldwide, reducing grain yield and quality. Among them, the neotropical brown stink bug \u003cem\u003eEuschistus heros\u003c/em\u003e (F.) is the most abundant in South America, especially in the central region of Brazil. The management of stink bugs in soybeans has been carried out mainly with the use of synthetic insecticides, which have the potential to cause damage to the environment and human health. Additionally, the intensive use of fossil fuel-based insecticides contributes to an increase in the carbon footprint and indirectly to climate changes and its undesirable effects, such as global warming.\u003c/p\u003e\u003cp\u003eAlternatively, the use of biological control agents is a more sustainable pest management tool, with reduced undesirable negative effects. Extensive research has been carried out in the last decades demonstrating the effectiveness of using egg parasitoids to control soybean stink bugs (Bueno et al. \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). However, despite the high demand by farmers, there is still a shortage in the supply of egg parasitoids-based products, compared to synthetic insecticides. In Brazil, only 10 egg parasitoid-based products have been registered for use on soybeans to date. In comparison, there are 116 synthetic insecticides registered for the control of stink bugs in soybeans, based on 32 active ingredients (or combinations of a.i) (BRASIL 2025).\u003c/p\u003e\u003cp\u003eOne of the reasons for this difference is that the production of parasitoids is carried out directly on the eggs of the stink bug, and therefore, it is necessary to maintain a stink bug mass rearing in the laboratory, usually using fresh bean pods as the diet (Mermer et al. \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Savaris et al. 2022; Taylor et al. \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Attempts to mass rearing this stink bug using fresh vegetable hosts were first made in 1943 (Menusan \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e1943\u003c/span\u003e). A similar protocol is still in use nowadays (e.g., (Francati et al. \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Horrocks et al. \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Rojas e Morales-Ramos 2017), with only minimum improvements, including mixing fresh foods, such as green bean pods (\u003cem\u003ePhaseolus vulgaris\u003c/em\u003e L.) and broccoli (\u003cem\u003eBrassica oleraceae\u003c/em\u003e L.) with dry foods, such as seeds of soybeans, peanuts (\u003cem\u003eArachis hypogea\u003c/em\u003e L.), and sunflower (\u003cem\u003eHelianthus annuu\u003c/em\u003es L.), which are normally replaced every three days and a source of water, generally refreshed daily. However, fresh bean pods are highly perishable and not supplied continuously over the year, which results in losses in the stink bug lab rearing. For a large scale production of parasitoids, cultivating beans to get fresh pods is not always an option, because it demands time and human resources. More recently, artificial diets for \u003cem\u003eE. heros\u003c/em\u003e have been developed to reduce the dependence on fresh food. Despite the success, the preparation of the diet still requires a considerable amount of labor and incurs costs for the diet componentes (Fortes et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Mendoza et al. \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Panizzi et al. \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2000\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIdeally, the lab rearing protocol should be simple, using foods that are available and easy to obtain all year round and that can be stored for long periods, such as dried soybeans. This type of food would reduce the frequency of maintenance of the insect colonies, contributing to reducing the production costs and increasing the viability of large scale production of parasitoids. In the present work, we present a laboratory rearing protocol of the stink bug \u003cem\u003eE. heros\u003c/em\u003e in soybeans and other leguminous grains, as an alternative to the use of fresh bean pods.\u003c/p\u003e"},{"header":"Material and Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eInsects\u003c/h2\u003e\u003cp\u003eThe experiments were carried out using 2nd instar nymphs of \u003cem\u003eE. heros\u003c/em\u003e from the laboratory colony maintained at Embrapa Arroz e Feij\u0026atilde;o. The colony was started with adult insects collected from soybean fields, in Santo Antonio de Goias, Goias State, Brazil (16\u0026deg; 28' 00\u0026rdquo; S, 49\u0026deg; 17' 00\u0026rdquo; W; 823 m asl), and managed as follows. Adult stink bugs were kept under plastic cages [20(H) \u0026times; 20(W) \u0026times; 25(D) cm] lined at the bottom with paper towels. Insects were fed with green bean (\u003cem\u003eP. vulgaris\u003c/em\u003e) pods, peanut (\u003cem\u003eA. hypogaea\u003c/em\u003e) and soybean (\u003cem\u003eG. max\u003c/em\u003e) grains. Food was replaced every 3\u0026ndash;4 days. Voil fabric strips (3 x 30 cm) hanging from the top of the cage were used as the oviposition substrate. Eggs deposited on the fabric strips were removed at each food change and placed on petri dishes. Nymphs were maintained in petri dishes (9 cm) until they reached the 2nd instar, when they were transferred to 80ml plastic bowls (5 cm (D) x 5.5 cm (H)) lined at the bottom with a paper towel and containing the same natural diet offered to the adults. Food was replaced every 3\u0026ndash;4 days, until adult emergence. Ten days after emergence, the adults were transferred to the oviposition cages described before. The rearing room was kept at 26\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg;C, relative humidity of 60\u0026thinsp;\u0026plusmn;\u0026thinsp;10% and photoperiod of 14:10h (L:D).\u003c/p\u003e\u003cp\u003e\u003cb\u003eBiology of\u003c/b\u003e \u003cb\u003eE. heros\u003c/b\u003e \u003cb\u003enymphs fed on dry grains\u003c/b\u003e\u003c/p\u003e\u003cp\u003eA preliminary experiment was carried out with 2nd instar nymphs isolated in 80 mL plastic cups and fed on ripe (dry) grains of one of these leguminous species: soybean, common bean or peanuts. Later, a second experiment was carried out only with soybean grains, from eight lines differing in their protein contents (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e), which was determined by the technique of near-infrared spectroscopy (NIRS - Near Infrared Reflectance Spectroscope - Thermo Fisher Scientific Waltham, MA, USA - model\u0026ndash;FT-NIR Antaris II), with readings in triplicate, adapted from (Shi et al. \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). All seeds were obtained from the field, produced using the regular agronomic recommendations, including insecticide sprays. Both experiments were carried out in a completely randomized design, with 112 replicates/treatment in the first experiment and 28 replicates in the second, each replicate consisting of one insect. The development of nymphs was observed every day, registering the nymphal stage of each individual and nymph mortality until adult emergence.\u003c/p\u003e\u003cp\u003e\u003cb\u003eDevelopment of\u003c/b\u003e \u003cb\u003eE. heros\u003c/b\u003e \u003cb\u003eadults fed with soybean grains\u003c/b\u003e\u003c/p\u003e\u003cp\u003eOne day after adult emergence, couples of one male and one female were separated in plastic cages similar to those used for the biology of nymphs. Each cage contained the same food source offered to the insects in the younger stages. Soybean seeds were replaced once a week. Insects were observed daily to evaluate their longevity. Eggs were collected and kept in microtubes (1.5ml) until the emergence of 1st instar nymphs.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003eData analysis\u003c/h2\u003e\u003cp\u003eExperiments were carried out in a completely randomized design. At the nymph stage, the evaluated variables were instar duration (days) and nymph mortality (%). After adult emergence, adult insects were sexed and weighed (mg). At the adult stage, insects were evaluated for number of eggs/couple and adult longevity (days). The data analyses were performed using the R 4.0.1 software (R CORE TEAM 2022). Developmental time data of the nymphal stage, adult\u0026rsquo;s mass at 1st day after emergence, adult longevity and number of eggs/couple were submitted to a resampling procedure by parametric bootstrap and ANOVA. Multiple comparison of means (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) was performed using the R package pbANOVA (Alver e Zhang 2023). Total nymph mortality (from 2nd to 5th instar) on different soybean lines was compared by the chi-square test.\u003c/p\u003e\u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003eIn the first experiment, there was no difference in the survival, developmental time and weight of insects fed on soybean or peanut (Table 1). However, 100% of the insects on the common bean treatment died after 3 days. The protein contents of the six soybean lines used in the second experiment varied from 29.6 to 41.3%, although this difference was not significant (Table 2). In this experiment, the average development time was ~ 22 days (2nd instar - adult) and it did not significantly differ among soybean lines (Table 2). Females developed significantly faster (22.2\u0026plusmn;0.20 days) and presented higher average mass (80.0\u0026plusmn;1.23 mg) than males (23.1\u0026plusmn;0.30 days; 71.1\u0026plusmn;1.45 mg) (Table 2). There was no significant difference in the developmental time and mass of insects associated with the different protein contents of the soybean lines. Insect survival (from 2nd instar to adult) on the evaluated soybean lines varied from 46.4 to 78.6%, but this difference was not significant (Table 2).\u003c/p\u003e\n\u003cp\u003eLongevity of adult females varied from 21 to 42.7 days, while for males the interval was between 26 to 44.7 days (Table 3). The pre-oviposition period varied between 8 days (on one the highest protein content soybean lines) to 17.2 days (on the lowest protein content soybean line), although this difference was not significant (Table 3). The number of eggs/females also differ between the soybean lines with the lowest and the highest protein contents (from 92.8 to 168), but not significantly (Table 3). The percentage of females that oviposited varied from 25% to 100%.\u003cstrong\u003e\u003cbr\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e Biological parameters of the neotropical brown stink bug \u003cem\u003eEuschistus heros\u0026nbsp;\u003c/em\u003e(L.)\u003cem\u003e\u0026nbsp;\u003c/em\u003e(Hemiptera: Pentatomidae) nymphs fed on ripe peanut (\u003cem\u003eArachis hypogaea\u003c/em\u003e L.), soybean (\u003cem\u003eGlycine max\u003c/em\u003e L.) and common bean (\u003cem\u003ePhaseolus vulgaris\u003c/em\u003e L.) seeds. \u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eTreatment\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeight\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(mg) \u0026plusmn; SE\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal time of development\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(2nd instar- Adult)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(day) \u0026plusmn; SE\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal number\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eInsect survival \u0026nbsp;(%)\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e2nd - adult\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eSex Ratio (Female/(Female + Male))\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e\u003cstrong\u003ePeanut\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e92.1\u0026plusmn;82.31a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e85.4\u0026plusmn;30.54a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e21.9\u0026plusmn;0.98a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e22.2\u0026plusmn;0.53a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e0,46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e\u003cstrong\u003eSoybean\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e95.9\u0026plusmn;38.55a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e83.5\u0026plusmn;38.95a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e21,4\u0026plusmn;0,72a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e22,1\u0026plusmn;0,80a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e\u003cstrong\u003eBean\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eMeans followed by the same letter in the columns are not significantly different by Tukey\u0026rsquo;s test (p\u0026lt;0.05).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e Biological parameters of the neotropical brown stink bug \u003cem\u003eEuschistus heros\u0026nbsp;\u003c/em\u003e(L.) (Hemiptera: Pentatomidae) nymphs fed on ripe soybean (\u003cem\u003eGlycine max\u003c/em\u003e L.) seeds with different protein contents.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" style=\"width: 638px; height: 424.746px;\" width=\"638\" height=\"424.746\"\u003e\u003c/p\u003e\n\u003cp\u003eMeans followed by the same letter in the columns are not significantly different by Tukey\u0026rsquo;s test (p\u0026lt;0.05).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e Biological parameters of the neotropical brown stink bug \u003cem\u003eEuschistus heros\u0026nbsp;\u003c/em\u003e(L.) (Hemiptera: Pentatomidae) adults fed on ripe soybean seeds with different protein contents.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" style=\"width: 603px; height: 390.617px;\" width=\"603\" height=\"390.617\"\u003e\u003c/p\u003e\n\u003cp\u003eMeans with the same letter in the columns are not significantly different by Tukey\u0026rsquo;s test (p\u0026lt;0.05).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4\u003c/strong\u003e Biological parameters of the neotropical stink bug \u003cem\u003eEuschistus heros\u003c/em\u003e (L.) (Hemiptera: Pentatomidae) reared on different sources of food, as reported in the literature.\u003c/p\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eReference\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of diet\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDiet components\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eInsect survival (nymph-adult, %)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDevelopmental time (days)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMass of individual adults (mg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of eggs/female\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePresent work\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNatural dry\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDry soybean seeds\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e46.4 - 78.6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e22.2 (female)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e23.1 (male)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e80.0 (female)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e71.1 (male)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e92 - 168\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAzambuja et al 2013\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNatural fresh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMature soybean seeds previously soaked in water\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e47.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e36.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e66.3 (female)\u003c/p\u003e\n \u003cp\u003e65 (male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e80.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAzambuja et al 2013\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNatural fresh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFresh green bean pods, raw peanuts and ligustrum fruits\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e52.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e27.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e76.9 (female)\u003c/p\u003e\n \u003cp\u003e74.3 (male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e453.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFortes et al 2006\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNatural fresh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSoybeans, peanuts and fresh ligustrum fruits\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e81.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e24.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e84.3 (female)\u003c/p\u003e\n \u003cp\u003e81.2 (male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e266.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMendoza et al 2016\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNatural fresh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFresh green beans and peanuts\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e32.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNot presented\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNot presented\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e(Oliveira et al. 2016)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNatural fresh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFresh bean pods, soybeans, peanuts and sunflower\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e49.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e31.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e83.7 (female)\u003c/p\u003e\n \u003cp\u003e73.9 (male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e348.2 (total in 40 days)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFortes et al 2006\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eArtificial\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eWheat germ, soybean protein, potato starch, vitamins and other ingredients\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e64.1 - 77.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e25.7 - 26.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e68.1 - 78.4 (female)\u003c/p\u003e\n \u003cp\u003e66.4 - 71.5 (male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e120.6 -213.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMendoza et al 2016\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eArtificial\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eGreen beans, peanuts and other ingredients\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e20.3 - 51.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e27.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e85.6 (female)\u003c/p\u003e\n \u003cp\u003e76.4 (male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e171 \u0026ndash; 286\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eLaboratory rearing of stink bugs is a crucial step in the production of egg parasitoids to be used in biological control management programs. Maintaining insect colonies is challenging, especially given the difficulty of obtaining adequate, insecticide-free food sources year-round. Stink bug laboratory colonies are usually kept on green bean pods, which are difficult to obtain out of the bean cropping season. Additionally, as a highly perishable food, green bean pods are difficult to store for long periods. Our results showed it is possible to keep a laboratory rearing of the neotropical brown stink bug \u003cem\u003eE. heros\u003c/em\u003e on ripe seeds of soybeans, regardless of their protein contents. This represents a significant improvement in the process of egg parasitoid production.\u003c/p\u003e\u003cp\u003eThe percentage of insect survival observed in our study was similar to that reported in other studies on the biology of this stink bug, using natural fresh diets (including fresh green pods of common bean and/or soybean etc.) (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e) and a little higher than reported in a study with an artificial diet (Mendoza et al. \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Among these previous studies, the highest survival rate (82%) was reported for a natural diet containing fresh green beans and peanuts (Fortes et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). Some of the soybean lines used in the present study resulted in high survival rates, reaching 78%, in contrast with a survival of only 47.5% on soybean seeds reported in another study (Azambuja et al. \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2013\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eThe developmental time of nymphs observed in our study was shorter than that found in previous studies, but the mass of individual adults was similar to that previously reported. It is possible that the shorter developmental time observed in the present study resulted from higher temperatures and the type of insect cages used. In general, the developmental time of insects was longer on fresh diets, compared to our study and to other studies that used artificial diets (Fortes et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Mendoza et al. \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). In the present study, females developed faster and presented higher average mass than males. Regarding insect weight, this result is as expected, since females are usually larger than males (Stillwell et al. \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2010\u003c/span\u003e), but the shorter developmental time of females is an exception to the rule. In a meta-analysis study, for most species, the gender with the highest mass is usually the one that presents longer developmental time as well (Teder \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2014\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn most soybean lines, the number of females was higher than males, resulting in a sex ratio from 0.59 to 0.71, except for the line 7780-4 (0.5). A lower sex ratio was observed in a previous study for \u003cem\u003eE. heros\u003c/em\u003e fed on natural (fresh) and artificial diets (around 0.5) (Fortes et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2006\u003c/span\u003e) and even lower (0.46) for \u003cem\u003eDiceraeus furcatus\u003c/em\u003e on a mix of fresh and dry foods (Savaris et al. 2022).\u003c/p\u003e\u003cp\u003eIn conclusion, our findings demonstrate that ripe soybean seeds, regardless of their protein content, can successfully sustain laboratory colonies of E. heros, achieving survival, development, and adult mass comparable to or better than those reported with traditional fresh diets. This alternative food source not only overcomes the logistical and seasonal limitations associated with green bean pods but also offers a practical, long-term solution for maintaining stink bug colonies in support of egg parasitoid production programs. By reducing dependence on highly perishable, hard-to-source diets, this approach has the potential to improve the efficiency, continuity, and scalability of biological control initiatives targeting agricultural pests.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eContributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMAC, ALF, PVAA, PVP and EH planned the study; MAC, ALF and PVAA executed the work in the laboratory; EH, ALF and PVP analyzed the data and wrote the manuscript; all authors revised the manuscript before its final submission to the journal.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was financed by the Brazilian Agricultural Research Corporation \u0026ndash; Embrapa (Grant n\u0026ordm; 20.20.03.003.00.00) and to the Brazilian Council for Scientific and Technological Development \u0026ndash; CNPq for awarding undergrad research scholarships to MAC and PVAA and a PhD scholarship to ALF.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of Interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAlver S, Zhang G. Multiple comparisons of treatment against control under unequal variances using parametric bootstrap. J. Appl. Stat. 2023;51(10):1861\u0026ndash;77. \u003c/li\u003e\n\u003cli\u003eAzambuja R, Degrande PE, Pereira FF. Comparative biology of \u003cem\u003eEuschistus heros\u003c/em\u003e (F.) (Hemiptera: Pentatomidae) feeding on cotton and soybean reproductive structures. Neotrop. Entomol. agosto de 2013;42(4):359\u0026ndash;65. \u003c/li\u003e\n\u003cli\u003eBRASIL M da A Pecu\u0026aacute;ria e Abastecimento. Agrofit. [Internet]. Agrofit. 2025 [citado 1\u003csup\u003eo\u003c/sup\u003e de outubro de 2025]. Recuperado de: https://mapa-indicadores.agricultura.gov.br/publico/extensions/AGROFIT/AGROFIT.html\u003c/li\u003e\n\u003cli\u003eBueno A, Sutil W, Roswadoski L, Colmenarez Y. Augmentative biological control of stink bugs on soybean: the Brazilian scenario. CABI Agric. Biosci. 2024;5(1):58. \u003c/li\u003e\n\u003cli\u003eFortes P, Magro SR, Panizzi AR, Parra JRP. Development of a dry artificial diet for \u003cem\u003eNezara viridula\u003c/em\u003e (L.) and \u003cem\u003eEuschistus heros \u003c/em\u003e(Fabricius) (Heteroptera: Pentatomidae). Neotrop. Entomol. Sociedade Entomol\u0026oacute;gica do Brasil; outubro de 2006;35:567\u0026ndash;72. \u003c/li\u003e\n\u003cli\u003eFrancati S, Dimattia BG, Martini A. Acceptance and suitability of \u003cem\u003eNezara viridula\u003c/em\u003e nymphs as hosts for Trichopoda pennipes. 2019 [citado 1\u003csup\u003eo\u003c/sup\u003e de outubro de 2025]; Recuperado de: https://cris.unibo.it/handle/11585/739371\u003c/li\u003e\n\u003cli\u003eHorrocks KJ, Welsh T, Carpenter JE, Suckling DM. Egg Sterilisation of Irradiated \u003cem\u003eNezara viridula\u003c/em\u003e (Hemiptera: Pentatomidae). Insects. Multidisciplinary Digital Publishing Institute; setembro de 2020;11(9):564. \u003c/li\u003e\n\u003cli\u003eMendoza AC, Rocha ACP da, Parra JRP. Lyophilized artificial diet for rearing the Neotropical \u003cem\u003eEuschistus heros\u003c/em\u003e (Hemiptera: Pentatomidae). J. Insect Sci. 28 de abril de 2016;16(1):41. \u003c/li\u003e\n\u003cli\u003eMenusan HJ. Plant bugs. In Laboratory producers in the study of the chemical control of insects. Amer Assoc Advan Sci Publi Ser. 1943;20:29\u0026ndash;30. \u003c/li\u003e\n\u003cli\u003eMermer S, Maslen EA, Dalton DT, Nielsen AL, Rucker A, Lowenstein D, et al. Temperature-Dependent Life Table Parameters of Brown Marmorated Stink Bug, \u003cem\u003eHalyomorpha halys\u003c/em\u003e (St\u0026aring;l) (Hemiptera: Pentatomidae) in the United States. Insects. Multidisciplinary Digital Publishing Institute; mar\u0026ccedil;o de 2023;14(3):248. \u003c/li\u003e\n\u003cli\u003eOliveira DGP, Dudczak AC, Alves LFA, Sosa-Gomez DR. Biological Parameters of \u003cem\u003eEuschistus heros\u003c/em\u003e (F.) 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Recuperado de: https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2435.12172\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Heteroptera, biological control, laboratory mass rearing, neotropical brown stink bug, Pentatomidae","lastPublishedDoi":"10.21203/rs.3.rs-7775481/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7775481/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe neotropical brown stink bug, \u003cem\u003eEuschistus heros\u003c/em\u003e (F.) (Hemiptera: Pentatomidae), is one of the main soybean pests in South America, causing significant yield and quality losses. Current management relies heavily on synthetic insecticides, which pose environmental and health risks, while sustainable alternatives such as biological control are limited by the availability of parasitoids. The large-scale production of egg parasitoids requires continuous stink bug colonies, which are traditionally maintained on fresh green bean pods\u0026mdash;an approach hindered by seasonality, perishability, and high labor costs. This study aimed to evaluate the feasibility of rearing \u003cem\u003eE. heros\u003c/em\u003e exclusively on dry soybean grains, with emphasis on the effects of different crude protein contents on insect development and reproduction. Two experiments were conducted: the first compared nymphal performance on soybean, peanut, and common bean seeds; the second assessed biological parameters of insects fed on eight soybean lines differing in protein content (29.6\u0026ndash;41.3%). Results demonstrated that dry soybean and peanut seeds supported nymphal survival and development, while all nymphs fed on common bean died within three days. Across soybean lines, protein content did not significantly influence developmental time (~\u0026thinsp;22 days), survival (46.4\u0026ndash;78.6%), adult mass, longevity, fecundity, or sex ratio. Females developed slightly faster and were heavier than males, consistent with sexual dimorphism in stink bugs. The findings confirm that dry soybean grains, regardless of protein levels, are a viable year-round diet for \u003cem\u003eE. heros\u003c/em\u003e, offering a practical, low-maintenance, and cost-effective alternative to fresh diets. This protocol enhances the scalability of parasitoid production programs, supporting integrated pest management strategies in soybean systems.\u003c/p\u003e","manuscriptTitle":"Rearing protocol of Euschistus heros (F.)(Heteroptera: Pentatomidae) using soybean grains with different crude protein contents","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-30 12:19:42","doi":"10.21203/rs.3.rs-7775481/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"9dd9b248-982c-4852-92c0-e1cc1a33f1bf","owner":[],"postedDate":"October 30th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-11-13T15:50:21+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-30 12:19:42","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7775481","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7775481","identity":"rs-7775481","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}