Agricultural Science Digest – A Research Journal最新文献

{"title":"Impact of Organic Nutrient Management Practices on Growth Dynamics and Economics of Short-duration Cassava (Manihot esculenta Crantz.)","authors":"S. A. Aravind, E. Somasundaram, S. Sanbagavalli, P. Kavitha, S. Venkatachalam, R. Sunitha","doi":"10.18805/ag.d-5820","DOIUrl":"https://doi.org/10.18805/ag.d-5820","url":null,"abstract":"Background: A series of field experiments were conducted at the Tapioca and Castor Research Station (TCRS), Tamil Nadu Agricultural University, Yethapur, Salem from 2022 to 2023. The purpose was to investigate the growth dynamics and economics of short-duration cassava under different nutrient management practices including both integrated and organic approaches. Methods: Twelve treatments were carried out consisting of various combinations of organic manures, liquid organic foliar sprays, integrated nutrient management treatments and a control treatment (no manures/fertilizers/sprays). The experiments were carried out in a randomized block design (RBD) with three replications at the same location. Results: The results revealed that the different nutrient management practices had a significant impact on the physiological response throughout the various stages of plant growth. Based on the average data from two experiments, the INM treatment (FYM @ 25 t ha-1 + 100% recommended dose of fertilizers and cassava booster spray) showed the highest physiological response during the final phase of growth. This treatment showed superior performance in terms of leaf area index (LAI), crop growth rate (CGR), relative growth rate (RGR), net assimilation rate (NAR), tuber bulking rate (TBR) and mean TBR. The organic treatment (wood ash @ 2 t ha-1 and 3% panchagavya foliar spray) recorded comparable performance to the INM treatment in major parameters such as LAI, CGR, RGR and NAR. However, it followed the INM treatment in terms of mean TBR. Economic analysis revealed that the INM treatment yielded the highest net income and benefit-cost ratio (BCR), followed by the organic treatment. The control resulted in the least returns. In conclusion, the findings highlight the effectiveness of the INM treatment and the promising performance of the organic treatment which can contribute to sustainable and profitable cassava cultivation.","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82951637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficiency of Parametric and Non Parametric Indices as the Indicators of Grain Yield Stability of Bread Wheat (Triticum aestivum L.) Genotypes under Rainfall Conditions","authors":"H. Bendada, O. Mehanni, A. N. Louahdi, S. Selloum, S. Guemaz, B. Frih, A. Guendouz","doi":"10.18805/ag.df-537","DOIUrl":"https://doi.org/10.18805/ag.df-537","url":null,"abstract":"Background: Under rainfall conditions, grain yield stability is one of the most important objectives of breeding programs, especially in diverse environments. Under such conditions, stability analysis offers the best solution for the relative performance of genotypes over environments. The aims of this study are the selection of adapted and stable bread wheat genotypes based on the using of some parametric and non-parametric index. Methods: The experiment was conducted during the four consecutive agricultural seasons (2016/17-2017/18, 2018/19 and 2019/20) at the level of the experimental station of Setif (ITGC). Eight (08) genotypes of bread wheat were tested in this study. To calculate the parametric and non-parametric indices, we use the STABILITYSOFT program. Result: The association between Wricke’s ecovalence (Wi²), the mean variance component (θᵢ) and the Stability variance (σ²ᵢ) indices with the grain yield proved that the best genotypes for growing under these conditions are G1, G2, Hidhab, Arz, Wifak and Ain Abid. In addition, the selection based on the non-parametric index and the combination selection based on highest grain yield with the parametric and non parametric indices proved that the genotypes G1, G2 and Wifak are the more stable and adapted genotypes under semi-arid conditions. In addition, based on the static and dynamic concepts, the parametric indices bi and CVi are related to the dynamic concept, while the other indices are associated with static stability concept. Overall, the results of this study confirmed that the parametric and Non-parametric methods are the suitable tools to identify the most stable bread wheat genotypes at various environmental conditions.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78619903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generation Mean Analysis for Yield and Yield Component Traits in Inter-specific Cross of Rice (Oryza sativa L.)","authors":"D. M. Kumar, T. Srinivas, L. S. Rao, Y. Suneetha, R. Sundaram, V. Kumari, T. V. Ratnam","doi":"10.18805/ag.d-5722","DOIUrl":"https://doi.org/10.18805/ag.d-5722","url":null,"abstract":"Background: Information on gene action governing yield and yield component traits need to be studied for adoption of effective breeding procedure to wards development and isolation of high yielding promising lines from the cross with resistant to bacterial leaf blight, blast and tolerance to low soil phosphorous. The present investigation was taken up in this context to estimate the gene effects for yield and yield components of the cross, YH3 x AKDRMS 21-54, using five parameter model of generation mean analysis. Methods: The experimental material, P1, P2, F1, F2 and F3 generations, for the investigation was generated from Kharif 2019 onwards and evaluated at Agricultural College, Bapatla during Rabi 2021-22. Gene effects for grain yield and yield attributing traits were studied. Result: Mean effects of all traits studied were significant indicating the presence of sufficient variation for the traits. Significance of scaling tests revealed additive-dominant model as inadequate, indicating the presence of epistasis. Digenic non-allelic interaction model with five parameters, namely, m, d, h, i and l revealed that the epistatic interaction model was adequate to explain the gene action for the traits studied in the present investigation. Dominance x dominance gene interaction was pre-dominant for grain yield per plant and majority of yield component traits studied coupled with duplicate epistasis, indicating the importance of population improvement approaches, such as bi-parental mating and recurrent selection, followed by isolation of purelines in later generations of the cross for effective improvement of yield and majority of the yield component traits.","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89187991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vegetation Analysis and the Role of Growing Media on the Growth and Yield of Physalis angulata L. in Domestication","authors":"B. Pujiasmanto, D. Setyaningrum, M. Budiastuti, Supriyono","doi":"10.18805/ag.df-530","DOIUrl":"https://doi.org/10.18805/ag.df-530","url":null,"abstract":"Background: Physalis angulata L. is a member of the Solanaceae family and is known in Indonesia as “ciplukan” which has the potential to be used as a medicinal ingredient because it acts as an immunomodulator and antioxidant. This study aims to analyse the vegetation in the ciplukan growth environment and the role of growing media in domestication efforts on the growth and yield of ciplukan. Methods: Vegetation analysis using the survey method at the survey locations was selected using a purposive random sampling method. Domestication used a completely randomized design with 1 factor, namely planting media with five levels, namely: Soil media, soil media + goat manure, soil + vermicompost media, soil + husk media, soil + charcoal husk media. Result: Based on the vegetation analysis, there are 12 grass vegetations with an important value index of 71.270% in Cynodon dactylon grass. Meanwhile, in the analysis of plant vegetation, there was 25 vegetation with the highest relative frequency in P. angulata, namely 14.286%. In the analysis of tree vegetation, there were 12 trees, with the highest density being teak, namely 42.553%. Ciplukan growing wild so far, can be domesticated as a cultivated plant. The results of domestication with the treatment of soil + vermicompost growing media can encourage the growth and yield of P. angulata plants.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"59 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90467934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on Hyperspectral Reflectance of Brown Planthopper (Nilaparvata lugens) Infestation in Rice","authors":"S. Sivaranjani, V. Geethalakshmi, S. Pazhanivelan, J. Kennedy, S. Ramanathan","doi":"10.18805/ag.d-5760","DOIUrl":"https://doi.org/10.18805/ag.d-5760","url":null,"abstract":"Background: Pest management plays crucial role in yield prediction in all crops. In Rice, Brown Planthopper (BPH) plays major role in yield reduction. Pest forewarning in agriculture is the important tool and popularly used in various countries to avoid huge fertilizer and pesticide application. In this regard, Hyperspectral remote sensing gives various information about the spectral characteristics of BPH infected plants. Methods: Investigations were carried out to assess the damage of BPH infestation at the field level using a portable Hyper spectral radiometer. The farmers field at the BPH prone area of Kuttalam block, Nagapattinam district, Tamil Nadu was chosen to analyze the spectral reflectance of BPH -infected and uninfected plants and derive certain vegetation indices for accurate forewarning. The specific spectral bands from visible to infra-red (445 nm, 550 nm, 670 nm, 760 nm, 800 nm) were utilized to detect of BPH-infested plants over the field area. Result: Among various vegetation indices, the index MCARI (Modified Chlorophyll Absorption Reflectance Index) was performed well with high accuracy from early to late infestation at the field level and considered as the most effective tool in Precision Agriculture. As a result, The specific indices were analysed over BPH infected area to prevent greater spreading of pest damage and to minimize pesticides in the field.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88323194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on Selected Metals and Nutritional Status of Maize (Zea mays L.) Grown under Different Rates of Fertilizers in Wolaita Zone, Southern Ethiopia","authors":"Desalegn Dana Dinato, Alemu Lelago, Mesfin Bibiso, Abraham Bosha","doi":"10.18805/ag.df-529","DOIUrl":"https://doi.org/10.18805/ag.df-529","url":null,"abstract":"Background: The main aim of this study was to investigate the nutritional value of maize samples grown under the different rates of blended fertilizer in Wolaita Zone, southern Ethiopia. Methods: Maize samples that were grown under combined application of the two fertilizers (K and NPSB) with ratio rates of (0:0, 25:50, 50:100, 75:150 and 100:200) kg ha-1 were used as treatment. The content of nutrients from the maize was determined by flame atomic absorption spectrometry. Result: The mean concentration of metal in the maize sample ranged as (mg/kg): Ca (512.48-725.86), K (786.62-901.907), Mg (440.23-618.61), Fe (31.52-39.63), Zn (29.45-35.58), Pb (0.005-0.034), Cd (0.014-0.13). The study also revealed that the proximate analysis of the maize sample grown under different rates of blended fertilizer ranged as moisture (5.57-9.56%), ash (0.76-2.29%), fat (2.83-5.95%), fiber (0.93-2.25), 6.83-11.86% and Carbohydrate (68.08-83.07%). For most metals and nutritional values, the highest content was obtained in maize samples grown under the application of 100 K and 200 NPSB kg per hectare.","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81094063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of DNA Barcoding Signatures for Pink Bollworm in Cotton Ecosystem Based on the Mitochondrial COI Gene","authors":"I. P. Shree, M. Muthuswami, N. Boopathi, K. Senguttuvan, S. Rajeswari","doi":"10.18805/ag.d-5765","DOIUrl":"https://doi.org/10.18805/ag.d-5765","url":null,"abstract":"Background: Species identification is a highly specialized, time-consuming and rely significantly on the diagnostic features that are present mostly in the adult life stages which constrains the recognition, as many specimens lack these characters. Methods: In this study, we used molecular strategy to develop markers for the identification of the pink bollworm in the cotton ecosystem. This research was conducted at the Department of Agricultural Entomology and Department of Plant Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu State, during 2021 and 2022. DNA sequences of the cytochrome c oxidase subunit I gene were used to successfully develop DNA barcoding signatures for pink bollworm. Result: Using the MUSCLE alignment method in MEGA X software and by the use of phylogenetic tree, the sequences were segregated into Clade 1 (had a sequence length of 264 bp) and Clade 2 (had a sequence length of 164 bp) and for each clade DNA barcoding signatures were developed. With such molecular identity would be simple, rapid, precise and more reliable to identify Pectinophora gossypiella, as it is difficult to accurately identify this bollworm during its early life stages.","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84539484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Legume Intercropping for Weed Control Efficiency in Kharif Maize (Zea mays L.) under Amritsar Conditions","authors":"Nekpreet Singh, Rakesh Kumar","doi":"10.18805/ag.d-5656","DOIUrl":"https://doi.org/10.18805/ag.d-5656","url":null,"abstract":"Background: Maize is referred to as the “Queen of Cereals” since it has highest genetic yield potential. So, Maize being a rainy season crop, suffers badly due to heavy weed infestation reducing the potential yield. Intercropping with legumes is the effective technique to control weed infestation. Therefore, this study is focused on to evaluate the legume intercropping for weed control efficiency in kharif maize (Zea mays L.) under Amritsar conditions. Methods: A field study was carried out to evaluate the effect of “Legume intercropping for weed control efficiency in kharif maize (Zea mays L.) under Amritsar conditions” at Student’s Research Farm, P.G. Department of Agriculture, Khalsa College Amritsar, during Kharif season 2021-2022. The experiment consists of six treatment combination which were tested in factorial randomized block design with three replications. The treatment consisted of T1 - sole maize, T2- paired row maize, T3- maize + green gram (1:1), T4- maize + green gram (2:2), T5- maize + black gram (1:1), T6- maize + black gram (2:2) and two weed management practices i.e. weedy check and pendimethalin at 0.75 kg ha-1 (pre-emergence). Result: The results indicated that maize + green gram (1:1) intercropping system registered considerably lowest weed density of both monocot and dicot weeds at 25 DAS (58.14 m2) and 50 DAS (61.72 m2) and also significantly lower weed dry matter at 25 DAS (2.06 q ha-1), 50 DAS (4.58 q ha-1), 75 DAS (5.88 q ha-1). Maize + green gram (1:1) treatment also recorded considerably highest weed control efficiency (17.57 %) at 25 DAS and (16.38%) at 50 DAS. The highest maize grain yield (38.85 q ha-1) was achieved in maize + green gram (1:1) followed by (37.68 q ha-1) maize + black gram (1:1) and (33.41 q ha-1) maize + green gram (2:2). Maize grain equivalent yield and benefit-cost ratio significantly superior in all the intercropping systems than pure stand yield of crop. The highest maize grain equivalent yield (66.78 q ha-1) and benefits: cost ratio (3.6) was obtained in maize + green gram (2:2) followed by (3.31) maize + black gram (2:2) and (2.5) maize + green gram (1:1). Pre-emergence application of pendimethalin at 0.75 kg ha-1 gave substantially lower weed density at25 DAS (56.05 m2), 50 DAS (57.97 m2) and weed dry matter at 25 DAS (2.16 q ha-1), 50 DAS (4.03 q ha-1) and 75 DAS (5.35 q ha-1) and significantly superior weed control efficiency at 25 DAS (30.97%) and 50 DAS (27.98 %) over weedy check. Significantly higher maize grain yield (36.94 q ha-1), legumes yield (8.87 q ha-1), maize grain equivalent yield (58.45 q ha-1) and benefits: cost ratio (3.19).","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135608651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Balanced Nutrient Recommendations for Dry Chilli in an Inceptisol of Tamil Nadu based on a Targeted Yield Model","authors":"M. Vamshi, S. Maragatham, R. Santhi, M. K. Kalarani, A. Sankari","doi":"10.18805/ag.d-5782","DOIUrl":"https://doi.org/10.18805/ag.d-5782","url":null,"abstract":"Background: Considering the high cost of fertilizers and adverse effect of its overuse on environment and soil health, proper organic manure-fertilizer recommendations on the basis of soil test values, residual effect and yield targets of chilli becomes vital. Methods: Field experiment was carried out on Periyanaickenpalayam soil series of Inceptisol soil order at farmers holding, Dindigul, Tamil Nadu during 2021-2022 after establishment of marked fertility gradient with respect to soil available N, P and K by gradient experiment with fodder sorghum. The test crop experiment with chilli was laid out in a fractional factorial design comprising of 24 treatments with 4 levels of N (0, 50, 100 and 150 kg ha-1), 4 levels for both phosphorus pentoxide (P2O5) and potassium dioxide (K2O). Farmyard manure (FYM) levels were 0, 6.25 and 12.5 kg ha-1.From the field experiment data, the fundamental parameters- nutrient requirement (NR) and nutrients contributions from soil (Cs), fertiliser (Cf) and farmyard manure (Co)-were determined. Result: The percentage of nutrients estimated from fertiliser (%Cf) that contributed towards the total amount of nutrients taken up by dry chilli was calculated to be 44.09, 39.29 and 76.91 per cent of N, P2O5 and K2O, respectively. K2O greater than N greater than P2O5 was seen as the order of the fertiliser nutrient per cent contributions to total nutrient uptake. Incase of nutrient contribution form soil (% Cs) the order is P2O5 greater than N greater than K2O. FYM contributed (% Co) 29.42, 14.40 and 38.73 per cent of N, P2O5 and K2O. One quintal of dry chilli production was estimated to require (NR) 4.24 kg of nitrogen, 1.91 kg of phosphorus pentoxide (P2O5) and 4.80 kg of potassium oxide (K2O) as nutrients. Fertiliser prescription equations (FPEs) for dry chilli and ready reckoners for the operating range of soil test values for the intended yield target experiment under NPK alone and IPNS were built using basic data.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"77 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83185490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Analysis of Land Use Options using CLUMondo Model to Promote Agricultural Restructuring in the Mekong Delta’s Coastal Area in Vietnam","authors":"Truong Quang, P. K. Diem, V. Minh, P. Vu, Phan Hoang Vu, Pham Thi Kieu Chinh","doi":"10.18805/ag.df-545","DOIUrl":"https://doi.org/10.18805/ag.df-545","url":null,"abstract":"Background: Climate change, socioeconomic, market demands and labor restructuring have led to the need for agricultural restructuring in coastal areas in Vietnam. This study was conducted to assess the factors affecting agricultural production and analyze land use scenarios to support the agricultural transformation in the coastal area of the Vietnamese Mekong Delta. Methods: The implementation method is based on surveying the necessary dynamic level of socioeconomic and environmental factors affecting land use; the connection between the land area optimization using linear programming and the CLUMondo. Result: The results proposed 3 scenarios to improve the efficiency of state land management for socioeconomic development and agricultural restructuring in the study area. Scenario 1 (the land-allocated results were similar to the land use map) and scenario 2 (extensive shrimp farming areas in the coastal zone will be firmly converted to intensive shrimp farming) are suitable for the district in the short term. However, Scenario 3 (the shrimp-rice area tends to convert to rice land, while agricultural land near the town will be firmly converted to non-agricultural land) is the most appropriate option when funds are available for high technology advancement.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88082948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}