{"title":"Dispersal ability of the predatory mites Blattisocius tarsalis and Cheyletus malaccensis in grain piles and storage facilities","authors":"","doi":"10.1016/j.jspr.2024.102460","DOIUrl":"10.1016/j.jspr.2024.102460","url":null,"abstract":"<div><div>Predatory mites can be released into storage facilities to control various stored product pests. However, their ability to disperse within grain piles and structures (warehouses and processing facilities) has not been well assessed. This study aimed to evaluate two predatory mites, <em>Blattisocius tarsalis</em> and <em>Cheyletus malaccensis</em>, as biological control agents by examining their dispersal abilities in piles of rice grains and storage facilities. The mites were evaluated for their capacity to navigate vertically through polyvinyl chloride (PVC) tubes filled with paddy rice at depths of 40 and 100 cm to determine if they could reach the eggs of various lepidopteran pests at the bottom. Additionally, their dispersal ability over varying time intervals and their preferences concerning light intensity were assessed in 2-m-long channels coated with rice flour residues. An integrated assessment of their vertical and horizontal dispersal capacities, along with the influence of light, was conducted in a controlled pilot storage room (4 × 3 × 3 m). <em>Blattisocius tarsalis</em> demonstrated impressive dispersal capabilities, reaching pest eggs at vertical depths of 40 and 100 cm through rice and dispersing 2 m horizontally in just 4 h. This proficiency extended to pilot storage room conditions, where it successfully navigated all distances, both horizontally and vertically, showing a preference for navigating away from the light. <em>Cheyletus malaccensis</em> proved to be an effective predator at close range to pest eggs but demonstrated limited dispersal capabilities in complex setups. This study underlines the suitability of <em>B. tarsalis</em> as a biological control agent capable of dispersing in various environments. Conversely, the utility of <em>C. malaccensis</em> may be more specialised and effective within a narrow movement range. These findings highlight the importance of understanding mite dispersal behaviours for optimising pest management strategies and contributing to the more sustainable and effective storage of rice grains.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physical and biochemical characteristics of cereal grains affect population growth parameters of Sitophilus oryzae (L.) (Coleoptera: Curculionidae)","authors":"","doi":"10.1016/j.jspr.2024.102459","DOIUrl":"10.1016/j.jspr.2024.102459","url":null,"abstract":"<div><div>The rice weevil, <em>Sitophilus oryzae</em> L. (Coleoptera: Curculionidae), is a significant pest of rice and other cereal grains. In this research, the effects of various grain species, including barley, maize, millet, rice, sorghum, and wheat, were assessed on biological properties and life history variables of <em>S. oryzae</em> under laboratory conditions. Data were analyzed based on the age-stage, two-sex life table method. Furthermore, various physicochemical properties of cereal grains, including protein content, starch content, humidity content, and seed hardness, were investigated to explore their correlation with the studied parameters of <em>S. oryzae</em>. The longest development time was observed on millet and sorghum hosts, while the shortest was on maize seed. The beetles reared on rice and millet species showed the maximum fecundity, whereas those reared on sorghum and millet grains showed the lowest. Maize grain had the highest intrinsic rate of increase (<em>r</em>), whereas millet and sorghum grains had the lowest. According to the correlation analysis, overall, seed protein content was negatively correlated with insect fecundity, <em>R</em><sub>0</sub> and <em>r</em>, but positively correlated with development time. Furthermore, starch content was positively correlated with insect fecundity, <em>R</em><sub>0</sub> and <em>r</em>, and negatively correlated with development time. The cluster results demonstrated that whereas sorghum and millet were comparatively resistant hosts for the growth of <em>S. oryzae</em>, maize and rice were relatively susceptible seeds. This information can be helpful in the development or improvement of integrated pest management (IPM) strategies against rice weevil. The findings of this research will also be helpful in introducing unsuitable hosts for the development of transgenic grains resistant to <em>S. oryzae</em>. The pest-resistant cereal grains identified in this study can potentially be utilized in combination with other pest control strategies for sustainable management of <em>S. oryzae</em>, which may help reduce the excessive use of chemical insecticides.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of storage time on nutritive qualities, volatile components, and microbial community of native grass hay","authors":"","doi":"10.1016/j.jspr.2024.102454","DOIUrl":"10.1016/j.jspr.2024.102454","url":null,"abstract":"<div><div>Microbial activity in stored native grass hay may induce quality deterioration and alter flavor profiles, resulting in significant economic losses and forage safety risks. This study elucidated the association between microbial communities, nutritive qualities, and volatile components during native grass hay storage. High-throughput sequencing was conducted for determining the microbial composition of stored native grass hay. Headspace solid-phase microextraction-gas chromatography-mass spectrometry was performed for identifying volatile compounds in native grass hay. This study also assessed the correlation of volatile compounds with the hay microbiome. According to the obtained results, the water-soluble carbohydrate and crude protein content of native grass hay significantly decreased by 14.37% and 25.24%, respectively, after 360 days of storage (<em>P</em> < 0.01). From the 112 volatile compounds identified in native grass hay, hydrocarbons and alcohols were the major contributors to the volatile profile characteristics of native grass hay during storage, while ketones, heterocyclic compounds, and aromatic compounds were the minor constituents. Forty-nine potential spoilage markers were screened based on OPLS-DA and VIP values. The dominant fungi at the phylum level were Ascomycota and Basidiomycota. <em>Alternaria</em> and <em>Kabatiella</em> were the main fungal genera during the storage of native hay. Correlation analysis showed that 3 key volatile compounds (eucalyptol, geranyl acetone, and dihydroactinidiolide) exhibited a high association with quality loss and <em>Aspergillus</em> of native grass hay. The present findings could improve our knowledge about how storage affects microbial communities and volatile components in native grass hay.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effective control of citrus green mold using plasma-activated water with hydrogen peroxide vapor: A non-thermal approach","authors":"","doi":"10.1016/j.jspr.2024.102457","DOIUrl":"10.1016/j.jspr.2024.102457","url":null,"abstract":"<div><div>In this study, a novel approach for controlling <em>Citrus sinensis</em> Salustiana green mold disease in oranges was developed using plasma-activated water (PAW) generated by a Surface Dielectric Barrier Discharge (SDBD) system reinforced with H<sub>2</sub>O<sub>2</sub> cold vapor. <em>Penicillium digitatum,</em> the primary cause of orange mold, was the target of the treatment. The efficiency of the setup was investigated in three stages. First, a suspension of <em>P. digitatum</em> spores was directly treated with Ar/H<sub>2</sub>O<sub>2</sub> plasma to estimate the optimal plasma exposure time required for maximum fungal inactivation. Second, the impact of Argon/H<sub>2</sub>O<sub>2</sub> plasma-treated water (PTW), generated from various plasma exposure times, on mold growth on orange peels was examined. For this, orange peels were placed in Ar/H<sub>2</sub>O<sub>2</sub>-PTW for different durations, and mold occurrence was monitored. Finally, the effect of PTW, generated from various Ar/H<sub>2</sub>O<sub>2</sub> plasma exposure times, on mold growth on whole oranges was investigated. Oranges were treated with Ar/H<sub>2</sub>O<sub>2</sub>-PTW for different durations, and mold occurrence was analyzed. The results demonstrated that a 20-min treatment of oranges with PTW produced from a 420-s Ar/H<sub>2</sub>O<sub>2</sub> plasma exposure time led to complete inactivation of <em>P. digitatum</em>. This study showed that this hybrid scenario can be effectively used for fungal decontamination in the food industry.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Influence of various temperatures on the saw-toothed grain beetle Oryzaephilus surinamensis L. (Coleoptera: Silvanidae) and the potential use for management in stored dates","authors":"","doi":"10.1016/j.jspr.2024.102455","DOIUrl":"10.1016/j.jspr.2024.102455","url":null,"abstract":"<div><div>The saw-toothed grain beetle <em>Oryzaephilus surinamensis</em> L. has emerged as a key pest of stored loose dates. This investigation aims to elucidate the effects of various temperatures on the beetle. About 52% of tested adult beetles survived without food for 10 days at temperatures of 4 °C and 18 °C, whereas at 0 °C, only 7% survived for 8 days, and at 27 °C, 12% survived for 10 days. Moreover, three stages of the beetle were incubated at −20 °C for different durations. They were kept either free or inside dates during the treatment. The mortality rate of free adult beetles at −20 °C was 2%, 61%, and 86% in 15 min, 20 min, and 25 min, respectively. Thirty-minute exposure at −20 °C resulted in 100% mortality of the treated adults. However, when the beetles were protected inside date fruits, the mortality rate was only 25% after 1 h of incubation at −20 °C. Alternatively, 2 h of exposure at −20 °C caused 100% mortality of the beetles despite being protected inside the dates. Similarly, treatment of larvae without food at −20 °C resulted in a mortality of about 93% of the populations in 30 min, but when the larvae were protected inside dates, 100% mortality occurred within 2 h. Furthermore, 2 h of exposure at −20 °C inhibited the hatchability of eggs inside dates by about 96.7%. These results could provide a valuable alternative to fumigation and other pesticides for the management of <em>O. surinamensis</em> in stored dates.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gas sensor technology and AI: Forecasting lemon juice quality dynamics during the storage period","authors":"","doi":"10.1016/j.jspr.2024.102449","DOIUrl":"10.1016/j.jspr.2024.102449","url":null,"abstract":"<div><div>Ensuring the quality of food is a critical area that directly impacts public health. The emission of Volatile Organic Compounds (VOCs), recognized as distinguishable aromas, is used for the prediction and evaluation of food quality. These compounds provide valuable data about the nature and quality of food and can serve as indicators for nutritional characteristics determination. Hence, in this study, the changes in the quality of lemon juice over a 120-day storage period were assessed using VOCs. Accordingly, an electronic nose (e-nose) equipped with 8 metal oxide sensors and chemometric methods were employed to investigate the quality changes of lemon juice during the storage period. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) models were used to visualize the qualitative changes in lemon juice samples over the storage period. Furthermore, for classifying lemon juice samples over the 120-day storage period, Support Vector Machine (SVM) and Artificial Neural Network (ANN) methods were employed. Ultimately, for predicting the pH and acidity values of lemon juice, Partial Least Squares Regression (PLSR), Principal Component Regression (PCR), and Multiple Linear Regression (MLR) methods were utilized. The results showed very high accuracy in classifying lemon juice samples during the storage period, and the constructed models could predict the pH and acidity parameters of lemon juice with high accuracy.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A quality decay model with multinomial logistic regression and image-based deep learning to predict the firmness of ‘Conference’ pears in the downstream supply chains","authors":"","doi":"10.1016/j.jspr.2024.102450","DOIUrl":"10.1016/j.jspr.2024.102450","url":null,"abstract":"<div><div>Traditional quality-decay models (e.g., multinomial logistic regression) for fruit quality classification deals with tabular data which focus mainly on the storage parameters such as storage duration and conditions (D&C). Those parameters have the effects on quality decay at an aggregate scale across different experimental levels; they are not good at capturing the variations within each experimental level. This may restrict the predictive power of the traditional model. On the contrary, image-based deep learning models are dealing with individual products and can extract the deep features of each fruit to provide individual-based quality information but lack information regarding the post-harvest conditions (time of harvest, storage conditions etc.).</div><div>In this research, we investigate the combined performance of the multinomial logistic regression with the image-based convolutional neural network (CNN) for quality prediction of ‘Conference’ pears (Pyrus communis L.) (measured by firmness) where the extracted deep features are used as the explanatory variables for the logistic regression model. The results show that combining deep features with D&C parameters are likely to improve the predictive power of the logistic regression model to predict the firmness of the conference pears. The managerial implications as well as future research directions are also discussed.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chemical composition and repellent effects of powders and essential oils from Juniperus oxycedrus, Juniperus phoenicea, and Juniperus thurifera against Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae)","authors":"","doi":"10.1016/j.jspr.2024.102435","DOIUrl":"10.1016/j.jspr.2024.102435","url":null,"abstract":"<div><div>The present study evaluated the chemical composition and the potential repellent effect of powders and essential oils (EOs) from J<em>uniperus oxycedrus, Juniperus phoenicea, and Juniperus thurifera against T. castaneum</em> adults. The EOs were extracted by the hydrodistillation method, and their chemical composition was analyzed using gas chromatography-mass spectrometry (GC-MS) analysis. The repellent effect of powders and EOs was assessed using the area preference method. GC-MS revealed that the major components of the studied EOs were α-pinene (28.27%) and cubenol (10.75%) for <em>J. phoenicea</em>, β-Eudesmol (23.74%), hedycaryol (12.54%), and olopanone (10.04%) for <em>J. oxycedrus</em>, and oplopanone (26.84%) and α-Santanol acetate (17.28%) for <em>J. thurifera</em>. The powders of three Juniperus species had a repellent effect (class IV) against <em>T. castaneum</em> adults. Among the powders tested, J. phoenicea had the highest average repellency rate of 75.40%, followed by J. oxycedrus with 62.30%, and <em>J. thurifera</em> had the lowest average repellency rate of 60.30%. Moreover, J. phoenicea EO had the highest average repellency rate of 72.50%, followed by <em>J. oxycedrus</em> with 67.40%, while <em>J. thurifera</em> had the lowest average repellency rate of 61.80%.</div><div>The potential of Juniperus species can be used as biopesticides to control <em>T. castaneum</em> infestations as an alternative to synthetic pesticides.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Essential oil-loaded polymeric nanoparticles as a viable alternative to control storage grain insects -a review","authors":"","doi":"10.1016/j.jspr.2024.102453","DOIUrl":"10.1016/j.jspr.2024.102453","url":null,"abstract":"<div><div>The loss of stored grains is becoming a major issue globally because of insect infestation. The extensive usage of chemical insecticides for insect control has caused enormous harm to the worldwide ecology. Hence, it is essential to look for more environmentally sustainable solutions. Several essential oils (EOs) and bioactive chemicals have been adopted as natural insecticides due to their considerable insecticidal activity, diversified mechanism of action, and nontoxicity to other organisms. Meanwhile, despite their potential features, EOs have certain disadvantages, including being extremely volatile, less water-soluble, more rapidly degradable and the cost of production in some cases. Encapsulating EOs as nanoemulsions into polymers has recently been recognized as a potential technique for increasing their stability, selective release, and usefulness in various domains. These EOs and nanoemulsions displayed insect-deterrent behaviour by acting as fumigants, contact repellents, antifeedants, egg development deterrents, and larval agents, in addition to inhibiting chemical messengers such as acetylcholinesterase (AChE) and octopamine and transforming enzyme performance. This review article summarizes recent trends and innovations to define polymeric nano-formulated EOs as environment-friendly substitutes for harmful conventional insecticides. It also provides opportunities for more secure and profitable methods of controlling agricultural insects. Along with this, the insecticidal activity and mechanism of action for various essential oils and essential oil-loaded polymeric nanoparticles on various insects of stored grains are thoroughly discussed.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on antifungal properties of modified chitosan combined with essential oil and its application in preserving fruits","authors":"","doi":"10.1016/j.jspr.2024.102452","DOIUrl":"10.1016/j.jspr.2024.102452","url":null,"abstract":"<div><div>The presence of chemical pesticides has an impact on human health and there is an urgent need for the development of green antifungal alternatives. This study investigated the freshness application of dehydroabietic acid-modified chitosan product (CSDA) mixed with three essential oil (litsea cubeba oil (LCO), wintergreen essential oil (WEO), cinnamon essential oil (CEO)). The antifungal activity of modified chitosan/essential oils was tested by the punching method and the antifungal mechanism was investigated by the transmission electron microscope (TEM). The results showed that fungal inhibition rate of CSDA-WEO on <em>Penicillium digitatum</em> reached 100% at a concentration of 0.05 μL/mL and on <em>Penicillium italicum</em> reached 100% at a concentration of 1 μL/mL. Both molds were not well inhibited by CSDA-LCO and CSDA-CEO. CSDA-WEO was able to affect the cell walls and energy metabolism of the molds, resulting in nutrient loss and death. Fruits were preserved with 0.1 mg/g CSDA and 1 μL/mL WEO. CSDA-WEO maintained the antioxidant activity of <em>citrus</em>, inhibited respiration and water loss, and extended shelf life up to 24 days. CSDA-WEO extended the shelf life of <em>longan</em> to 18 days and <em>kiwi slices</em> to 6 days. CSDA-WEO is expected to serve as an alternative to chemical fungicides and shows promise as a broad-spectrum fruit and vegetable preservative.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}