Journal of Stored Products Research最新文献

{"title":"Application of electron beam irradiation in kiwifruit preservation and construction of a predictive model for its effectiveness","authors":"Lixia Ye ,&nbsp;Yaoxing Niu ,&nbsp;Jiangtao Yu ,&nbsp;Junqing Bai ,&nbsp;Anwei Luo","doi":"10.1016/j.jspr.2025.102723","DOIUrl":"10.1016/j.jspr.2025.102723","url":null,"abstract":"<div><div>The effects of electron beam irradiation on postharvest physiological and biochemical quality and electrical parameters of kiwifruit were investigated, and a machine learning model for its quality prediction was developed based on electrical properties. Kiwifruit was irradiated with 0 (control), 200 and 400 Gy of electron beam and stored in a refrigerator (0–1 °C, 90–95 % relative humidity). Results indicated that the 400 Gy irradiated group reduced decay rate and weight loss. Additionally, this group exhibited lower O₂^−·generation rate and H₂O₂ content, higher gene expression and activity of peroxidase, superoxide dismutase, and ascorbate peroxidase, and down-regulated lipoxygenase gene expression and activity compared to the control group. Microscopic observations revealed better-preserved and more intact cellular structures in the irradiated groups at the end of storage. A strong correlation was found between quality and electrical parameters, with equivalent parallel resistance (<em>Rp</em>) identified as a common key feature across all groups. The Random Forest model, built on these electrical characteristics, outperformed the linear model, improving the maximum R² from 0.5130 to 0.8830. Overall, 400 Gy electron beam irradiation effectively preserved kiwifruit quality, and the proposed electrical-property-based machine learning approach offers a promising non-destructive method for quality evaluation.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"114 ","pages":"Article 102723"},"PeriodicalIF":2.7,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279837","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":"Guggul gum and clove essential oil synergistically reduced anthracnose disease and modulated physicochemical changes in tomato during storage","authors":"Lawang Khan ,&nbsp;Ghulam Khaliq ,&nbsp;Ehsan Ullah ,&nbsp;Adams Abdul-Rahaman ,&nbsp;Mohamed M. El-Mogy ,&nbsp;Hosny H. Kesba ,&nbsp;Ahmed Mahmoud Ismail ,&nbsp;Hossam S. El-Beltagi","doi":"10.1016/j.jspr.2025.102713","DOIUrl":"10.1016/j.jspr.2025.102713","url":null,"abstract":"<div><div>Tomato (<em>Lycopersicum esculentum</em> L.) is an important vegetable crop that is widely used and forms a major part of the diet for people worldwide. However, pathogenic fungi, including <em>Colletotrichum</em> spp., significantly affect the quality of tomatoes during storage. Edible coatings derived from natural products have been proven to control postharvest diseases without compromising fruit quality. Thus, this study was conducted to assess the effectiveness of guggul gum (GG) edible coating and clove essential oil (CO) on tomatoes during storage at 25 °C for 20 days. Different concentrations, including GG 5 % + CO 0.5 %, GG 10 % + CO 0.5 %, and GG 15 % + CO 0.5 %, were applied. The results revealed that GG 15 % + CO 0.5 % was the most effective concentration against anthracnose disease. Tomatoes treated with guggul gum and clove oil inhibited mycelium growth, spore germination, disease incidence, and severity effectively. Tomatoes treated with GG 15 % + CO 0.5 % significantly reduced soluble solids concentration, weight loss, ion leakage, and color changes. Similarly, GG 15 % + CO 0.5 % significantly maintained higher firmness, ascorbic acid, titratable acidity, total phenolic content, and sensory quality. Guggul gum and clove oil could serve as an alternative method to synthetic fungicides for controlling the anthracnose pathogen and maintaining the postharvest quality of tomato fruit.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"114 ","pages":"Article 102713"},"PeriodicalIF":2.7,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279828","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":"Chitosan–garlic extract coating improves germination, antioxidant defense, and antifungal protection of soybean seeds during summer storage","authors":"Yunqian He ,&nbsp;Shengjun Wu","doi":"10.1016/j.jspr.2025.102724","DOIUrl":"10.1016/j.jspr.2025.102724","url":null,"abstract":"<div><div>This study examined the impact of chitosan–garlic extract (CH–GE) coating on the storage longevity of soybean seeds in summer. Seeds subjected to CH–GE treatment demonstrated a markedly elevated germination rate (83.2 %), vigor index, and antioxidant enzyme activities (SOD, POD, CAT), alongside diminished lipid peroxidation (MDA content) and mold infection relative to untreated controls. The CH–GE treatment significantly reduced mold colony counts to 0.8 × 10⁴ CFU/g, indicating robust antifungal effectiveness. The data indicate that chitosan in conjunction with garlic extract offers synergistic advantages in preserving seed viability, augmenting antioxidant defense, and enhancing microbiological safety during high-temperature storage settings. This environmentally sustainable covering may provide an effective method for secure seed preservation in tropical or subtropical areas.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"114 ","pages":"Article 102724"},"PeriodicalIF":2.7,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261836","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":"CNN-Transformer fusion for improving maize kernel storage Quality: A new approach to reducing storage risks","authors":"Like Zhao ,&nbsp;Weishi Jia ,&nbsp;Mengting Tao ,&nbsp;Huawei Jiang ,&nbsp;Zhen Yang ,&nbsp;Xixi Liu","doi":"10.1016/j.jspr.2025.102722","DOIUrl":"10.1016/j.jspr.2025.102722","url":null,"abstract":"<div><div>The efficient identification of imperfect maize kernels is of crucial importance for optimizing storage management and ensuring quality preservation. Image-based technologies, known for their rapid and non-destructive characteristics, play a pivotal role in this endeavor. However, these technologies encounter significant challenges due to high inter-class similarity and substantial intra-class variability among maize kernels. To address these challenges, we propose CTNet, an advanced model that synergistically integrates the Convolutional Neural Network (CNN) with the Transformer architecture. This integration is further enhanced by incorporating a Feature Attention Module (FAM) and a DW-Swin Transformer, which collectively facilitate the fusion of local and global features. A Fine-Grained Perception Module (FGPM) is employed to augment the model's sensitivity to subtle imperfections. The model, supplemented with a linear classifier, ensures precise discrimination of kernel quality. CTNet was trained on the comprehensive GrainSpace dataset and achieved 1.35 % higher accuracy than the baseline model, SwinTransformer, on the test set. Compared with other methods, our model demonstrates higher accuracy in identifying defective maize grains and achieves more efficient parameter utilization in its structure. Despite moderate parameters and FLOPs, it enhances recognition performance while maintaining low complexity. As imperfect maize grains directly impact quality and storage safety, the model's effective recognition capability is critical for reducing storage losses and ensuring safety, thus providing strong support for smart agriculture.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"114 ","pages":"Article 102722"},"PeriodicalIF":2.7,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253447","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":"Response of the parasitoid wasp Anisopteromalus calandrae (Hymenoptera: Pteromalidae) to the developmental stages and emitted semiochemicals of Callosobruchus maculatus (Coleoptera: Chrysomelidae) in stored chickpeas","authors":"Alberto Calderon-Lara ,&nbsp;Oliviert Martínez-Cruz ,&nbsp;Francisco Javier Wong-Corral ,&nbsp;Nohemí Gámez-Meza ,&nbsp;Luz Raquel Bourne-Murrieta ,&nbsp;Ramón Francisco Dórame-Miranda ,&nbsp;Rey David Iturralde-García","doi":"10.1016/j.jspr.2025.102720","DOIUrl":"10.1016/j.jspr.2025.102720","url":null,"abstract":"<div><div>The insect <em>Callosobruchus maculatus</em> is a primary pest of stored chickpeas, resulting in significant qualitative and quantitative losses worldwide. Furthermore, consumer demand for food free of chemical residues is driving the development of safer alternative methods, such as biological control. This control method utilizes natural enemies, such as <em>Anisopteromalus calandrae</em>, a larval parasitoid wasp, to decrease pest populations. This study investigates how <em>A. calandrae</em> responds to the volatile compounds emitted by <em>C. maculatus</em> at different developmental stages in stored chickpeas. The parasitoid response was evaluated using olfactometric bioassays in a Y-tube apparatus, where females were exposed to airflows enriched with volatiles from different insect stages. The results indicated a strong preference for the volatiles emitted by eggs and larvae compared to those from pupae and adults. This suggests that <em>A. calandrae</em> primarily relies on semiochemicals from early developmental stages to locate its host. Gaining a better understanding of these chemical signals could improve the use of <em>A. calandrae</em> for managing stored product pests. This would help decrease dependence on chemical pesticides and encourage sustainable pest control in agricultural storage systems.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"114 ","pages":"Article 102720"},"PeriodicalIF":2.7,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253446","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":"Detecting defective apples through advanced computer vision and Legendre Multi Wavelet Neural Networks","authors":"S.K. Mydhili ,&nbsp;K.P. Senthilkumar ,&nbsp;B. Buvaneswari ,&nbsp;T.R. Vijaya Lakshmi","doi":"10.1016/j.jspr.2025.102702","DOIUrl":"10.1016/j.jspr.2025.102702","url":null,"abstract":"<div><div>Large scale production and demand for apples of excellent quality to satisfy consumer and market standards have made an accurate, dependable and consistent grading system essential for the post-harvest process. Traditional manual visual grading of fruits poses substantial challenges to the agricultural business owing to its labour-intensive nature and the inherent diversity in inspection and categorization processes. In this study, Detecting Defective Apples using Advanced Computer Vision and Legendre Multi Wavelet Neural Networks (DDA-ACV-LMWNN) is proposed. Initially, the input image is collected from Internal Feeding Worm (IFW) database. The collected images are pre-processed using Multi observation Fusion Kalman Filter (MOFKF) to eliminate noise from the input image. Then, the pre-processed imageries are fed into the segmentation using Localized Sparse Incomplete Multi-View Clustering (LSIMC) method to extract the Region of Interest (ROI) and foreground. The segmented images are supplied to the Legendre Multi Wavelet Neural Networks (LMWNN), which detect and classifies the apples as Healthy and Defected. Generally, LMWNN does not expose any adoption optimization approaches for detecting optimum parameters to assure accurate defective apples classification. Hence, Tyrannosaurus Optimization Algorithm (TOA) is used for optimizing LMWNN which accurately classifies the defective apples. The proposed DDA-ACV-LMWNN is implemented in Python and the performance metrics like accuracy, precision, specificity, recall, F1-score, AUC are examined. The effectiveness of proposed DDA-ACV-LMWNN approach attains 16.60 %, 24.01 % and 26.60 %, higher accuracy; 20.32 %, 28.50 % and 32.21 % higher precision when compared with existing techniques like Predicting apple plant diseases in orchards using machine learning and deep learning approaches (PAPD-ML-DL), Detection of bruises on red apples using deep learning techniques (DBRA-DL) and Hyper spectral imaging coupled with deep learning technique for visualization and identification of early bruises on apples (HIC-DL-EBA) methods respectively.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"114 ","pages":"Article 102702"},"PeriodicalIF":2.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144231413","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":"Inhibition of DNA methylation delays softening in harvested kiwifruit by inhibiting ethylene biosynthesis to delay the degradation of starch and cell wall polysaccharides","authors":"Yunhao Zheng ,&nbsp;Letong Shen ,&nbsp;Lu Liu ,&nbsp;Wei Chen ,&nbsp;Zhenfeng Yang ,&nbsp;Xuewen Li ,&nbsp;Shifeng Cao ,&nbsp;Liyu Shi","doi":"10.1016/j.jspr.2025.102718","DOIUrl":"10.1016/j.jspr.2025.102718","url":null,"abstract":"<div><div>Fruit softening significantly impacts the economic and nutritional value of fruits during storage. This study investigated the role of the inhibition of DNA methylation in delaying softening in kiwifruit during postharvest storage. The treatment effectively inhibited firmness loss by suppressing ethylene production, reducing starch degradation, and preserving cell wall integrity. Ethylene biosynthesis was suppressed via downregulation of <em>AcACO</em> and <em>AcACS</em> genes, while decreased transcript levels of <em>AcISA</em>, <em>AcBAM</em>, and <em>AcAMY</em> inhibited starch hydrolysis. Furthermore, the inhibition of DNA methylation was found to reduce the expression of genes in connection with cell wall degradation, including <em>AcPE</em>, <em>AcPG</em>, <em>AcPL</em>, <em>AcXTH</em>, <em>AcCEL</em>, and <em>AcEG</em>, thereby maintaining higher levels of cell wall components such as cellulose, hemicellulose, and pectin. The treatment also altered methylation dynamics by enhancing demethylase activity and reducing methylase activity, suggesting an epigenetic regulation of ripening processes. These findings highlight the potential of the inhibition of DNA methylation in extending kiwifruit shelf life.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"114 ","pages":"Article 102718"},"PeriodicalIF":2.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144231412","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":"Application of near-infrared spectroscopy for physicochemical characterization of soft and flint corn grains in pre-processing, storage and industrial unit as alternative to the subjective physical classification method","authors":"Rosana Santos de Moraes,&nbsp;Nairiane dos Santos Bilhalva,&nbsp;Marisa Menezes Leal,&nbsp;Ariane Beskow Lemos,&nbsp;Paulo Carteri Coradi","doi":"10.1016/j.jspr.2025.102717","DOIUrl":"10.1016/j.jspr.2025.102717","url":null,"abstract":"<div><div>Corn is a vital cereal crop for food security, which relies heavily on efficient practices and technologies. The adoption of non-destructive technologies for grain classification minimizes post-harvest losses, ensures compliance with food safety standards, and optimizes grain allocation for appropriate uses. This study aimed to evaluate the physical classification and physicochemical quality of corn grains using indirect methods, as well as the impact of defect levels on physicochemical quality. Thus, it was evaluating the application of non-destructive technology for physicochemical characterization of soft and flint corn grains in pre-processing, storage and industrial unit as alternative to the subjective physical classification method. Corn grains were initially classified using traditional methods. For individual characterization, 20 g samples of both defective and healthy grains were analyzed. Subsequently, 2 kg samples were prepared for each classification (Type I, II, III, and off-type), subdivided into 100 subsamples of 20 g each. Near-infrared spectroscopy (NIR) was employed to analyze physicochemical composition. Data were evaluated using descriptive statistics and multivariate tests. It was observed that the physicochemical composition of corn grains is influenced by grain conditions, framing and group, as well as by the interaction between these factors. The application of PCA and Pearson correlation proved to be adequate to evaluate the multivariate structure of the data obtained in the experiment. The identified correlations contributed to the understanding of the patterns observed in the analysis of variance and in the PCA. It is concluded that NIR increases the efficiency and accuracy in quality assessment, significantly reducing the time required for traditional grain classification. Multivariate analyses also serve as effective tools for data interpretation.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"114 ","pages":"Article 102717"},"PeriodicalIF":2.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221237","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":"Methyl salicylate as a dose-dependent fumigant against common stored product pests: A comparative laboratory study","authors":"Salvatore Guarino ,&nbsp;Mokhtar Abdulsattar Arif ,&nbsp;Giuliano Cerasa ,&nbsp;Antonioni Acacio Campos Moliterno ,&nbsp;Ezio Peri","doi":"10.1016/j.jspr.2025.102716","DOIUrl":"10.1016/j.jspr.2025.102716","url":null,"abstract":"<div><div>Stored product pests pose a significant threat to global food security, leading to substantial economic losses in agricultural commodities. Traditionally controlled with synthetic pesticides, these pests have developed resistance, raising environmental and health concerns, driving the search for alternative strategies. In this study, we assessed the effect of methyl salicylate (MeSa), a naturally occurring compound with several promising properties for pest control, against three stored product pest species: <em>Sitophilus oryzae, Tribolium castaneum</em> and <em>Trogoderma granarium</em>. Laboratory bioassays were conducted to assess mortality rates by fumigation across doses ranging from 2 to 10 mg in 120 mL containers where adults were placed. The results demonstrated dose-dependent variations in mortality among the species. After 48h from the treatment MeSA demonstrated strong insecticidal activity against <em>Tro. granarium</em>, achieving over 80 % mortality across all tested doses, while <em>Tri. castaneum</em> showed a dose-dependent response, reaching approximately 70 % mortality at 10 mg. In contrast, <em>S. oryzae</em> exhibited limited susceptibility, with mortality peaking at around 37 % at the highest dose of 10 mg.This variation in susceptibility among species underscores the importance of species-specific evaluations. Overall, the findings of this study highlight the potential of MeSA as a sustainable alternative to synthetic insecticides, particularly to <em>Tro. granarium</em>. This study encourages further investigation of the mechanisms of action and field efficacy of MeSA to evaluate its possible application in pest management strategies.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"114 ","pages":"Article 102716"},"PeriodicalIF":2.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221238","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":"Key regulatory genes of pyruvate homeostasis in Trogoderma granarium: Transcriptional responses to cold- and starvation-induced diapause","authors":"Emine Koçak ,&nbsp;Asli Dageri","doi":"10.1016/j.jspr.2025.102703","DOIUrl":"10.1016/j.jspr.2025.102703","url":null,"abstract":"<div><div>Pyruvate serves as a central regulatory point in glucose metabolism by directing flux between glycolysis, tricarboxylic acid cycle, and gluconeogenesis in response to energy demands. Because diapause lacks external nutrient intake, it offers a model to study how pyruvate regulation supports metabolic adaptation under energy limitation. The khapra beetle, a destructive feeder of stored grains and cereal products, ranks among the world's 100 worst invasive species, employing facultative diapause as a survival strategy under adverse conditions. In this study, the genes encoding essential enzymes involved in pyruvate homeostasis—including pyruvate kinase (<em>TgPK</em>), pyruvate dehydrogenase E1 (<em>TgPDH</em>), and phosphoenolpyruvate carboxykinase (<em>TgPEPCK</em>)—were identified and characterized in the khapra beetle. Their expression levels were analyzed across distinct phases of cold- and starvation-induced diapause. The highest abundance of <em>TgPK</em> was recorded during the diapause phase after cold exposure, suggesting a potential need for sustained glycolytic flux to generate substrates. Its peak expression occurred in the post-diapause phase of starvation-induced diapause, suggesting that elevated pyruvate levels from glycolysis coincide with the resumption of feeding. Although <em>TgPDH</em> expression was elevated at the onset of diapause, its decline in the following weeks and post-diapause phase may indicate a transient increase in energy production to support metabolic adjustments for diapause initiation. A significant abundance of <em>TgPEPCK</em> was observed during the diapause phase of both induced diapauses, compared to the pre- and post-diapause phases, which may indicate ongoing gluconeogenesis at this stage. Additional researches are required to investigate the functional roles of these genes and associated diapause pathways.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"114 ","pages":"Article 102703"},"PeriodicalIF":2.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221249","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}