Crop Science最新文献

{"title":"Erratum to “Genome-wide association study for traits related to cold tolerance and recovery during seedling stage in rice”","authors":"","doi":"10.1002/csc2.70038","DOIUrl":"10.1002/csc2.70038","url":null,"abstract":"<p>Rastogi, K., Mankar, S. P., &amp; Septiningsih, E. M. (2025). Genome-wide association study for traits related to cold tolerance and recovery during seedling stage in rice. <i>Crop Science</i>, e70003. https://doi.org/10.1002/csc2.70003</p><p>In the “Data Availability Statement” section, the text “All data are available online: the Supplemental Material contains the list of rice accessions (Table S1) and the Phenotypic data (Table S2), while the Genotypic data (SNP marker by accession matrix) is available from the Dryad Digital Repository (will be provided on acceptance of the manuscript)” was incorrect. This should have read “All data are available online: The Supporting Information contains the list of rice accessions (Table S1) and the phenotypic data (Table S2), whereas the genotypic data (SNP marker by accession matrix) are available from the Dryad Digital Repository (Table S3; https://doi.10.5061/dryad.k6djh9wg4).”</p><p>We apologize for this error.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143660368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Mapping of Phytophthora sojae resistance in soybean genotypes PI 399079 and PI 408132","authors":"Elizabeth M. Clevinger,&nbsp;Ruslan Biyashev,&nbsp;Clarice Schmidt,&nbsp;Qijian Song,&nbsp;Alison E. Robertson,&nbsp;Anne E. Dorrance,&nbsp;M. A. Saghai Maroof","doi":"10.1002/csc2.70027","DOIUrl":"https://doi.org/10.1002/csc2.70027","url":null,"abstract":"<p>Numerous novel sources of resistance to <i>Phytophthora sojae</i>, which causes Phytophthora root and stem rot of soybean (<i>Glycine max</i>, [L.] Merr), have been identified, but not all loci have been mapped and few have been cloned. Two plant introductions (PIs), PI 399079 and PI 408132, were identified as sources of <i>Rps</i>-gene mediated resistance through inoculations with numerous isolates individually and a combination of three isolates of <i>P. sojae</i>. Resistance was mapped in F₇ and F₉ recombinant inbred line (RIL) populations derived from crosses of the susceptible cultivar Williams and the two PIs. Resistance was controlled by two to three genes depending on the <i>P. sojae</i> isolate(s). Thus, quantitative trait locus mapping was used and identified four and three quantitative disease resistance loci (QDRL) in the PI 399079 and PI 408132 RIL populations, respectively. Each locus conferred resistance to different <i>P. sojae</i> isolates. Two QDRL were identified on chromosome 7, one of which is novel and the second may be an allele of <i>Rps11</i> previously identified in PI 594527. These results indicate that there are new alleles to known <i>Rps</i> genes in these PIs.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"A genetic balancing act: Exploring segregation distortion of SCN resistance in soybean [Glycine max (L.) Merr.]","authors":"Seda Ozer,&nbsp;Andrew F. Bent,&nbsp;Eliana D. Monteverde,&nbsp;Sarah J. Schultz,&nbsp;Brian W. Diers","doi":"10.1002/csc2.70040","DOIUrl":"https://doi.org/10.1002/csc2.70040","url":null,"abstract":"<p><i>Rhg1</i> is the most important locus conferring resistance to soybean cyst nematode (SCN; <i>Heterodera glycine</i> Ichinohe) in soybean [<i>Glycine max</i> (L.) Merr.]. Previous research has shown that to obtain viable plants, the SCN resistance allele at <i>Rhg1</i> on chromosome 18 needs to be paired with <i>NSF_RAN07</i>, an atypical <span>r</span>esistance-<span>a</span>ssociated <i><span>N</span>SF</i> allele of the <i>N-ethylmaleimide sensitive factor</i> (<i>NSF</i>) gene on chromosome 07. This causes segregation distortion in populations developed from crosses between resistant and susceptible plants. Our study aimed to improve our understanding of this segregation distortion and determine the developmental stage at which it occurs. DNA from developing F₂ seeds and F₂ plants originating from crosses between resistant and susceptible parents was genotyped with markers for the <i>rhg1</i> and <i>NSF</i> loci using TaqMan assays. Chi-square tests revealed significant deviations from the expected Mendelian segregation ratio (1:2:1:2:4:2:1:2:1) in both F₂ seeds and plants, indicating segregation distortion at these loci. The absence of the <i>rhg1-b_rhg1-b_NSF_Ch07_NSF_Ch07</i> genotype supports the previous finding that the combination of the resistance allele <i>rhg1-b</i> and the commonly occurring <i>NSF_Ch07</i> allele is lethal, apparently because the α-SNAP (where SNAP is soluble NSF attachment protein) encoded by <i>rhg1-b</i> or <i>rhg1-a</i> interacts well with the <i>NSF</i>_RAN07 protein but not the more common <i>NSF</i>_Ch07 protein. The findings indicate that segregation distortion occurs prior to seed maturation and is primarily due to zygotic selection during early seed development. The results emphasize the need to consider this genetic interaction in breeding efforts to improve soybean since segregation distortion may affect the inheritance of SCN resistance and other traits linked to <i>Rhg1</i> or <i>NSF_Ch07</i>.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Adjusting seeding rate across soybean planting date and maturity in the Southeast United States","authors":"D. R. Stokes,&nbsp;R. A. Vann,&nbsp;J. L. Heitman,&nbsp;G. D. Collins,&nbsp;R. W. Heiniger,&nbsp;K. D. Stowe","doi":"10.1002/csc2.70031","DOIUrl":"https://doi.org/10.1002/csc2.70031","url":null,"abstract":"<p>Soybeans [<i>Glycine max</i> (L.) Merr.] are planted across a wide range of planting dates (PDs) (March to early August) in the Southeast United States, resulting in a wide range of growing conditions and, consequently, soybean production practices used. Current seeding rate (SR) recommendations should be revisited to reflect the range of PDs and other management practices used in the Southeast United States. Studies were conducted across 15 North Carolina environments from 2019 to 2022 to determine the agronomically optimal seeding rate (AOSR) and economically optimal seeding rate (EOSR) required for the PDs and maturity groups (MGs) used by soybean producers in the Southeast United States. Main plot treatments included PD (mid-March through mid-July), sub-plot included MGs (2–7), and sub-subplot included SR (185,329–432,434 seeds ha⁻¹). Early PDs generally resulted in lower plant populations due to environmental conditions such as cooler soil temperatures. Higher SRs resulted in higher plant populations across environments. PD, MG, and SR interacted to impact soybean yield (<i>p</i> = 0.02) and revenue (<i>p</i> = 0.02). Earlier PDs, March to April 10 (day of year [DOY] 80–100), resulted in lower yields and revenues compared to a more moderate full-season PD, April 30–May 20 (DOY 120–140), and delayed planting required higher AOSR and EOSR to maximize yield and revenue. Variations in MGs also impacted optimal SRs, with MGs (2–4) generally requiring higher AOSR and EOSR than MGs (5–8). AOSR and EOSR analyses reveal a positive correlation between SR, yield, and revenue up to a certain threshold, beyond which increasing SR does not significantly improve yield or revenue. Soybean producers should adjust their SR based on PD and MG selection.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Identification of two QTL for Hessian fly resistance in a Pakistan spring wheat cultivar Parvaz-94","authors":"Xiaoting Xu,&nbsp;Yunfeng Xu,&nbsp;Xuming Liu,&nbsp;Ming-Shun Chen,&nbsp;Amy Bernardo,&nbsp;Paul St. Amand,&nbsp;Alan Fritz,&nbsp;Guorong Zhang,&nbsp;Sanzhen Liu,&nbsp;Xiaomao Lin,&nbsp;Guihua Bai","doi":"10.1002/csc2.70020","DOIUrl":"https://doi.org/10.1002/csc2.70020","url":null,"abstract":"<p>Hessian fly (HF), <i>Mayetiola destructor</i> (Say), is a serious pest of wheat (<i>Triticum aestivum</i> L.) worldwide. Growing resistant cultivars is the most effective and economical approach for HF management. Previous screening of 176 wheat accessions from Pakistan only identified Parvaz-94 with high resistance to HF biotype Great Plains (GP), a predominant biotype in the US Great Plains. To determine the quantitative trait loci (QTL) for HF resistance in Parvaz-94, we evaluated a population of 178 recombinant inbred lines from Parvaz-94 × Cadenza for resistance to HF biotype GP and constructed a high-density linkage map with 3469 single-nucleotide polymorphisms generated by genotyping-by-sequencing. Two QTLs (<i>QHf.hwwg-1AS.2</i> and <i>QHf.hwwg-6BS.2</i>) were identified on the short arms of chromosomes 1A and 6B, respectively. <i>QHf.hwwg-1AS.2</i> was mapped to a 4.0 Mb interval (4.6–8.6 Mb) on the chromosome arm 1AS, and <i>QHf.hwwg-6BS.2</i> was localized to a 5.4 Mb interval (2.3–7.7 Mb) on the chromosome arm 6BS based on International Wheat Genome Sequencing Consortium RefSeq v2.1 reference genome. Kompetitive allele-specific PCR markers were developed for both QTL. The marker <i>K6B_7697506</i>, tightly linked to <i>QHf.hwwg-6BS.2</i>, was validated in three diversity panels of 610 winter wheat accessions from the major US winter wheat growing states and can be used for marker-assisted selection of <i>QHf.hwwg-6BS.2</i> in breeding programs.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Botanical pioneers: Exploring the legacies of Fairchild, Meyer, and Popenoe","authors":"Daniel E. Stone","doi":"10.1002/csc2.70035","DOIUrl":"https://doi.org/10.1002/csc2.70035","url":null,"abstract":"<p>This paper examines the profound contributions of three influential botanical explorers—David Fairchild, Frank Meyer, and Wilson Popenoe—whose work in the late 19th and early 20th centuries fundamentally transformed American agriculture and food systems. Through analysis of their expeditions, plant introductions, and lasting impacts, this study demonstrates how their collective efforts established the foundation for modern agricultural diversity in the United States. Drawing on the author's comprehensive research, this paper explores their methodologies, challenges, and achievements, while highlighting their enduring influence on contemporary crop science and agricultural practices.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational design for more engaged, impactful, and dynamic agricultural research","authors":"Michael Kantar,&nbsp;Patrick Ewing,&nbsp;Jon Bančič,&nbsp;Nathan Fumia,&nbsp;Ismail Garba,&nbsp;Sajad Jamshidi,&nbsp;Jean-Luc Jannink,&nbsp;Prakash Jha,&nbsp;Jacob Jungers,&nbsp;Harsh Pathak,&nbsp;Siddhartho S. Paul,&nbsp;Barath Raghavan,&nbsp;Bryan Runck,&nbsp;Jasdeep Singh,&nbsp;Samikshya Subedi,&nbsp;Vijaya Joshi,&nbsp;Diane Wang","doi":"10.1002/csc2.70034","DOIUrl":"https://doi.org/10.1002/csc2.70034","url":null,"abstract":"<p>Computational design in agriculture is the use of data-driven systems and tools to propose and evaluate alternative configurations of agricultural systems. It is unique from digital agriculture in that it integrates computational and crop science approaches to formulate problems rather than mitigating problems by applying digital technologies. In this special issue, we highlight how computational design could be used to adapt agricultural systems to better meet societal goals more rapidly and at lower cost. Many disciplines within crop sciences are represented, from breeding to cropping systems agronomy. Using a symposium at a major scientific conference as a case study, we also demonstrate how this framing of computational design can facilitate transdisciplinary research. Critically, all participants highlighted the potential of computational design to facilitate stakeholder engagement through eliciting, formalizing, and evaluating their values and experiences. This is especially important within the grand challenge contexts of changing climates and market demands, where intuition developed in the past may break down. By leveraging the power of computational design, we can make informed decisions to create agricultural systems that maximize productivity while minimizing environmental impact under current and future environments.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Physiology, growth, and yield of sweet corn as affected by growth stage-based irrigation management and biochar application","authors":"Arjun Kafle,&nbsp;Sukhbir Singh,&nbsp;Sanjit Deb,&nbsp;Catherine Simpson,&nbsp;Glen Ritchie","doi":"10.1002/csc2.70021","DOIUrl":"https://doi.org/10.1002/csc2.70021","url":null,"abstract":"<p>Water deficits are among major agricultural issues in semi-arid West Texas and require water-saving agricultural practices like growth stage-based irrigation management and biochar. A 2-year (2021 and 2022) field experiment was conducted in a split-plot design with irrigation based on crop evapotranspiration (ETc) as a main plot factor with four levels (I1 [100% ETc for whole growing season], I2 [80% ETc stress at vegetative stage followed by 60% ETc stress at reproductive stage], I3 [60% ETc stress at vegetative stage followed by 80% ETc stress at reproductive stage], I4 [40% ETc stress for whole growing season]) and biochar as a subplot factor with three rates (0, 15, and 20 t/ha) with four replications. Among the irrigation levels, I3 maintained plant height, leaf area index, leaf water potential, and higher cobs number and yield comparable to I1, despite some reduction in biomass. The yield penalty averaged across 2 years under I2, I3, and I4 was 29%, 9%, and 50%, respectively, compared to I1. Irrigation treatment I3 maintained 3% and 12% higher water productivity values in 2021 and 2022, respectively, compared to I1, with a saving of 24% water in irrigation across 2 years. Thus, I3 can be adopted as an alternative to full irrigation to save water with a minimal yield penalty for sweet corn (<i>Zea mays</i> L. var. <i>rugosa</i>) production in the West Texas region. Biochar had marginal effect on plant physiological and growth response. A long-term study could explore more on the integrated effect of irrigation and biochar on sweet corn productivity.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genomic regions conferring partial Fusarium crown rot resistance in commercial wheat cultivars","authors":"Anke Martin,&nbsp;Sandra Lamprecht,&nbsp;Cassy Percy,&nbsp;Mardé Booyse,&nbsp;Elsabet Wessels,&nbsp;Driecus Lesch,&nbsp;Renée Prins","doi":"10.1002/csc2.70023","DOIUrl":"https://doi.org/10.1002/csc2.70023","url":null,"abstract":"<p>This study aimed to genetically characterize <i>Fusarium</i> crown rot (FCR) resistance in high-yielding commercial spring bread wheat (<i>Triticum aestivum</i> L.) cultivars SST 087, with partial FCR resistance, and susceptible cultivar PAN 3471. Multi-year trials were conducted in South Africa, and one trial was run in Australia. Nine FCR quantitative trait loci (QTLs) were identified across eight different chromosomes (1A, 1D, 2A, 2B, 3D, 5B, 6D, 7A, and 7D). A QTL on chromosome 7A had the highest logarithm of the odds (LOD) score of 7.8 with 15% of the phenotypic variance explained and was identified across multiple years and in both the South African and Australian environments. The 35K Affymetrix Axiom Wheat Breeders’ Array data were used to identify sequence data for <i>QFcr.cg</i>-7A for development of FCR markers for marker-assisted selection in wheat breeding programs. QTLs associated with grain yield under FCR infection were identified on chromosomes 2A, 3D, 5B, 5DS, and 7A, with the QTL on 5B having the highest LOD score (4.6). A yield QTL on the distal end of chromosome 2AS was detected in the chromosome region where the <i>Aegilops ventricosa</i> Tausch 2N^VS translocation-associated markers map. The yield benefit was associated with the absence of this translocation in PAN 3471 in 2019, which was a drought stressed year with a much lower rainfall compared to 2020, when it went undetected. We have identified partial FCR resistance in the high-yielding commercial cultivar SST 087 and have identified FCR markers for marker-assisted selection in wheat breeding programs.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143564597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Predictive ability of hop (Humulus lupulus L.) grown in single hills on plot environments","authors":"Kayla R. Altendorf,&nbsp;Garett C. Heineck,&nbsp;Anna L. Tawril","doi":"10.1002/csc2.70024","DOIUrl":"https://doi.org/10.1002/csc2.70024","url":null,"abstract":"<p>Several years of the hop (<i>Humulus lupulu</i>s L.) cultivar development process are spent evaluating genotypes in single hill, low-density plantings. We evaluated the predictive ability of a genotype's performance in the seedling year in high-density, short-trellis plantings, in established, low-density, single-hill nurseries, and on plots representative of the commercial standard. The objective was to determine whether the single hill phase could be eliminated in favor of advancing from seedlings directly into plots. We tested seven hop genotypes across five spacing and trellis height configurations for 2 years for agronomic traits and cone traits. Spearman rank correlations revealed that high-density seedling evaluations were significantly predictive (average <i>ρ</i> = 0.60; <i>α</i> &lt; 0.1) of the commercial standard for 44%–75% of trait and year combinations. Notably, across all spacings, cone traits were more often significantly predictive (75%–85% frequency, average <i>ρ</i> = 0.78–0.82) than agronomic traits (38%–56% frequency, <i>ρ </i>= 0.52–0.64). Overall, the low-density, single-hill nursery offered a predictive advantage over the seedlings for both categories of traits. From a resource use perspective, 717% more individuals can be evaluated in the densest seedling option relative to the least-dense single hill option. Breeders must weigh the costs of space, time, population size and the predictive ability of their priority traits when deciding whether to make selections from the first year or to first transplant selections into single hill nurseries for additional years of evaluation.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143564980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}