Simianer, Henner

[["dc.bibliographiccitation.firstpage","382"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Dairy Science"],["dc.bibliographiccitation.lastpage","391"],["dc.bibliographiccitation.volume","92"],["dc.contributor.author","Koenig, S."],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Willam, A."],["dc.date.accessioned","2018-11-07T08:34:49Z"],["dc.date.available","2018-11-07T08:34:49Z"],["dc.date.issued","2009"],["dc.description.abstract","The objective of this study was to compare a conventional dairy cattle breeding program characterized by a progeny testing scheme with different scenarios of genomic breeding programs. The ultimate economic evaluation criterion was discounted profit reflecting discounted returns minus discounted costs per cow in a balanced breeding goal of production and functionality. A deterministic approach mainly based on the gene flow method and selection index calculations was used to model a conventional progeny testing program and different scenarios of genomic breeding programs. As a novel idea, the modeling of the genomic breeding program accounted for the proportion of farmers waiting for daughter records of genotyped young bulls before using them for artificial insemination. Technical and biological coefficients for modeling were chosen to correspond to a German breeding organization. The conventional breeding program for 50 test bulls per year within a population of 100,000 cows served as a base scenario. Scenarios of genomic breeding programs considered the variation of costs for genotyping, selection intensity of cow sires, proportion of farmers waiting for daughter records of genotyped young bulls, and different accuracies of genomic indices for bulls and cows. Given that the accuracies of genomic indices are greater than 0.70, a distinct economic advantage was found for all scenarios of genomic breeding programs up to factor 2.59, mainly due to the reduction in generation intervals. Costs for genotyping were negligible when focusing on a population-wide perspective and considering additional costs for herdbook registration, milk recording, or keeping of bulls, especially if there is no need for yearly recalculation of effects of single nucleotide polymorphisms. Genomic breeding programs generated a higher discounted profit than a conventional progeny testing program for all scenarios where at least 20% of the inseminations were done by genotyped young bulls without daughter records. Evaluation of levels of annual genetic gain for individual traits revealed the same potential for low heritable traits (h(2) = 0.05) compared with moderate heritable traits (h(2) = 0.30), preconditioning highly accurate genomic indices of 0.90. The final economic success of genomic breeding programs strongly depends on the complete abdication of any forms of progeny testing to reduce costs and generation intervals, but such a strategy implies the willingness of the participating milk producers."],["dc.identifier.doi","10.3168/jds.2008-1310"],["dc.identifier.isi","000261948600039"],["dc.identifier.pmid","19109296"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/17911"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Dairy Science Assoc-adsa"],["dc.relation.issn","0022-0302"],["dc.title","Economic evaluation of genomic breeding programs"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","6143"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Journal of Dairy Science"],["dc.bibliographiccitation.lastpage","6152"],["dc.bibliographiccitation.volume","94"],["dc.contributor.author","Schierenbeck, S."],["dc.contributor.author","Pimentel, E. C. G."],["dc.contributor.author","Tietze, Manfred"],["dc.contributor.author","Koerte, J."],["dc.contributor.author","Reents, R."],["dc.contributor.author","Reinhardt, Friedrich"],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Koenig, S."],["dc.date.accessioned","2018-11-07T08:49:32Z"],["dc.date.available","2018-11-07T08:49:32Z"],["dc.date.issued","2011"],["dc.description.abstract","Because of the relatively high levels of genetic relationships among potential bull sires and bull clams; innovative selection tools should consider both genetic gain and genetic relationships in a long-term perspective. Optimum genetic contribution theory using official estimated. breeding values for a moderately heritable trait (production index, Index-PROD), and a lowly heritable functional trait (index for somatic cell score, Index-SCS) was applied to find optimal allocations of bull dams and bull sires. In contrast to previous practical applications using optimizations based on Lagrange multipliers, we focused on semi-definite programming (SDP). The SDP methodology was combined with either pedigree (a(ij)) or genomic relationships (f(ij)) among selection candidates. Selection candidates were 484 genotyped bulls, and 499 preselected genotyped bull darns completing a central test on station. In different scenarios separately for PROD and SCS, constraints on the average pedigree relationships among future progeny were varied from a(ij) = 0.08 to a(ij) = 0.20 in increments of 0.01. Corresponding constraints for single nucleotide polymorphism-based kinship coefficients were derived from regression analysis. Applying the coefficient of 0.52 with an intercept of 0.14 estimated for the regression pedigree relationship on genomic relationship, the corresponding range to alter genomic relationships varied from f(ij) = 0.18 to f(ij) = 0.24. Despite differences for some bulls in genomic and pedigree relationships, the same trends were observed for constraints on pedigree and corresponding genomic relationships regarding results in genetic gain and achieved coefficients of relationships. Generally, allowing higher values for relationships resulted in an increase of genetic gain for Index-PROD and Index-SCS and in a reduction in the number of selected sires. Interestingly, more sires were selected for all scenarios when restricting genomic relationships compared with restricting pedigree relationships. For example, at constraint of f(ij) = 0.185 and selection on Index-PROD, the number of selected sires was 35. In contrast, only 21 sires were selected at the comparable constraint on additive genetic relationship of a(ij) = 0.09. A further reduction in relationships is possible when using SDP output (i.e., suggested genetic contributions of selected parents) and applying a simulated annealing algorithm to define specific mating plans. However, the advantage of this strategy is limited to a short-term perspective and probably not successful in the period of genomic selection allowing a substantial reduction of generation intervals."],["dc.identifier.doi","10.3168/jds.2011-4574"],["dc.identifier.isi","000297229000039"],["dc.identifier.pmid","22118102"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/21482"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Inc"],["dc.relation.issn","0022-0302"],["dc.title","Controlling inbreeding and maximizing genetic gain using semi-definite programming with pedigree-based and genomic relationships"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","177"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","G3: Genes, Genomes, Genetics"],["dc.bibliographiccitation.lastpage","188"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Pook, Torsten"],["dc.contributor.author","Mayer, Manfred"],["dc.contributor.author","Geibel, Johannes"],["dc.contributor.author","Weigend, Steffen"],["dc.contributor.author","Cavero, David"],["dc.contributor.author","Schoen, Chris C."],["dc.contributor.author","Simianer, Henner"],["dc.date.accessioned","2020-12-10T18:42:41Z"],["dc.date.available","2020-12-10T18:42:41Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1534/g3.119.400798"],["dc.identifier.eissn","2160-1836"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78047"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Improving Imputation Quality in BEAGLE for Crop and Livestock Data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0141216"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Berger, Swetlana"],["dc.contributor.author","Schlather, Martin"],["dc.contributor.author","de los Campos, Gustavo"],["dc.contributor.author","Weigend, Steffen"],["dc.contributor.author","Preisinger, Rudolf"],["dc.contributor.author","Erbe, Malena"],["dc.contributor.author","Simianer, Henner"],["dc.date.accessioned","2018-11-07T09:50:00Z"],["dc.date.available","2018-11-07T09:50:00Z"],["dc.date.issued","2015"],["dc.description.abstract","The understanding of non-random association between loci, termed linkage disequilibrium (LD), plays a central role in genomic research. Since causal mutations are generally not included in genomic marker data, LD between those and available markers is essential for capturing the effects of causal loci on localizing genes responsible for traits. Thus, the interpretation of association studies requires a detailed knowledge of LD patterns. It is well known that most LD measures depend on minor allele frequencies (MAF) of the considered loci and the magnitude of LD is influenced by the physical distances between loci. In the present study, a procedure to compare the LD structure between genomic regions comprising several markers each is suggested. The approach accounts for different scaling factors, namely the distribution of MAF, the distribution of pair-wise differences in MAF, and the physical extent of compared regions, reflected by the distribution of pair-wise physical distances. In the first step, genomic regions are matched based on similarity in these scaling factors. In the second step, chromosome-and genome-wide significance tests for differences in medians of LD measures in each pair are performed. The proposed framework was applied to test the hypothesis that the average LD is different in genic and non-genic regions. This was tested with a genome-wide approach with data sets for humans (Homo sapiens), a highly selected chicken line (Gallus gallus domesticus) and the model plant Arabidopsis thaliana. In all three data sets we found a significantly higher level of LD in genic regions compared to non-genic regions. About 31% more LD was detected genome-wide in genic compared to non-genic regions in Arabidopsis thaliana, followed by 13.6% in human and 6% chicken. Chromosome-wide comparison discovered significant differences on all 5 chromosomes in Arabidopsis thaliana and on one third of the human and of the chicken chromosomes."],["dc.description.sponsorship","Open-Access Publikationsfonds 2015"],["dc.identifier.doi","10.1371/journal.pone.0141216"],["dc.identifier.isi","000363920800029"],["dc.identifier.pmid","26517830"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12561"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35618"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Public Library Science"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","A Scale-Corrected Comparison of Linkage Disequilibrium Levels between Genic and Non-Genic Regions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","117"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Journal of Animal Breeding and Genetics"],["dc.bibliographiccitation.lastpage","123"],["dc.bibliographiccitation.volume","124"],["dc.contributor.author","Taeubert, Helge"],["dc.contributor.author","Agena, D."],["dc.contributor.author","Simianer, Henner"],["dc.date.accessioned","2018-11-07T11:01:55Z"],["dc.date.available","2018-11-07T11:01:55Z"],["dc.date.issued","2007"],["dc.description.abstract","The aim of this study was to analyse racing performance data in Irish greyhounds with regard to genetic and environmental variation. Estimation of heritabilities for racing time (RT) and ranking, and the prediction of breeding values for all greyhounds in the investigated data were carried out. Data from 42 785 races in Ireland in the years 2000-2003 were available. These results were obtained from 42 880 greyhounds on 20 race tracks over a distance of 480 m. Three traits were analysed, RT, ranking and a scaled logarithmic function for RT (ART), which was used to adjust racing time to be normally distributed. The data were analysed with a bivariate animal model. The estimated heritabilities were moderate for RT (0.31) and ART (0.38), but very low for ranking (0.10). The repeatabilities were 0.56 (RT), 0.51 (ART) and 0.13 (ranking). The genetic correlations were very high, 0.99 (RT-ranking) and 0.96 (ART-ranking), while the phenotypic correlation was lower, 0.60 (RT-ranking) and 0.62 (ART-ranking). The genetic trend for the traits as well as the phenotypic change of the average RT was positive."],["dc.identifier.doi","10.1111/j.1439-0388.2007.00643.x"],["dc.identifier.isi","000247132900004"],["dc.identifier.pmid","17550352"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/51259"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Blackwell Publishing"],["dc.relation.issn","0931-2668"],["dc.title","Genetic analysis of racing performance in Irish greyhounds"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","695"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Genetics"],["dc.bibliographiccitation.lastpage","708"],["dc.bibliographiccitation.volume","188"],["dc.contributor.author","Ober, Ulrike"],["dc.contributor.author","Erbe, Malena"],["dc.contributor.author","Long, Nanye"],["dc.contributor.author","Porcu, Emilio"],["dc.contributor.author","Schlather, Martin"],["dc.contributor.author","Simianer, Henner"],["dc.date.accessioned","2018-11-07T08:54:41Z"],["dc.date.available","2018-11-07T08:54:41Z"],["dc.date.issued","2011"],["dc.description.abstract","Genomic data provide a valuable source of information for modeling covariance structures, allowing a more accurate prediction of total genetic values (GVs). We apply the kriging concept, originally developed in the geostatistical context for predictions in the low-dimensional space, to the high-dimensional space spanned by genomic single nucleotide polymorphism (SNP) vectors and study its properties in different gene-action scenarios. Two different kriging methods [\"universal kriging\" (UK) and \"simple kriging\" (SK)] are presented. As a novelty, we suggest use of the family of Matern covariance functions to model the covariance structure of SNP vectors. A genomic best linear unbiased prediction (GBLUP) is applied as a reference method. The three approaches are compared in a whole-genome simulation study considering additive, additive-dominance, and epistatic gene-action models. Predictive performance is measured in terms of correlation between true and predicted GVs and average true GVs of the individuals ranked best by prediction. We show that UK outperforms GBLUP in the presence of dominance and epistatic effects. In a limiting case, it is shown that the genomic covariance structure proposed by VanRaden (2008) can be considered as a covariance function with corresponding quadratic variogram. We also prove theoretically that if a specific linear relationship exists between covariance matrices for two linear mixed models, the GVs resulting from BLUP are linked by a scaling factor. Finally, the relation of kriging to other models is discussed and further options for modeling the covariance structure, which might be more appropriate in the genomic context, are suggested."],["dc.identifier.doi","10.1534/genetics.111.128694"],["dc.identifier.isi","000292538900019"],["dc.identifier.pmid","21515573"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/22728"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Genetics Soc Am"],["dc.relation.issn","0016-6731"],["dc.title","Predicting Genetic Values: A Kernel-Based Best Linear Unbiased Prediction With Genomic Data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1360"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Poultry Science"],["dc.bibliographiccitation.lastpage","1371"],["dc.bibliographiccitation.volume","89"],["dc.contributor.author","Sharifi, Ahmad Reza"],["dc.contributor.author","Horst, P."],["dc.contributor.author","Simianer, Henner"],["dc.date.accessioned","2018-11-07T08:41:59Z"],["dc.date.available","2018-11-07T08:41:59Z"],["dc.date.issued","2010"],["dc.description.abstract","High ambient temperature is a major factor for diminishing reproductive performance of broiler parent stocks. Homozygous naked neck (NaNa) broilers, which possess a higher adaptation to heat due to a reduction of feather coverage, exhibited higher growth rates and meat yield. This study was conducted to investigate the influence of genotype x temperature interactions on the reproduction traits of heavy broiler dams caused by different feathering genotypes induced by naked neck gene (Na). In an additional experiment, the effect of Na gene on embryonic activity using oxygen uptake was examined. Normal-feathered (nana) and NaNa hens were maintained in separate cages under high (30 degrees C) and moderate (19 degrees C) temperatures, with RH of 55% from the 18th to 72nd week of age. Egg production, fertility, hatchability, and the time of embryonic mortality were recorded. In comparison with the NaNa genotype, the nana hens showed clear performance depressions under thermal stress with respect to egg production (63%), fertility (20%), hatchability, and number of chicks (72%). Under temperate ambient temperature, there were no differences in laying performance and fertility between both genotypes, with the exception of hatchability due to an increase in embryonic mortality as a result of the Na gene and consequently in the complex trait number of chicks. The early embryonic mortality of eggs laid by nana hens exposed to heat stress is clearly higher than of eggs by nana hens kept under temperate ambient temperature. In contrast, there were no significant differences in early embryonic mortality of eggs of NaNa birds kept under high and temperate environmental temperatures, demonstrating that heat stress leads to reduced early embryonic livability. Embryonic mortality in the late developing stage is significantly increased, and the homozygous genotype is much more affected than the heterozygous embryo. The possible reason for the Na gene-induced embryonic mortality is still not clear. In this investigation, it is shown that the phenomenon cannot be explained by the oxygen consumption."],["dc.identifier.doi","10.3382/ps.2009-00593"],["dc.identifier.isi","000279305200005"],["dc.identifier.pmid","20548063"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/19595"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Poultry Science Assoc Inc"],["dc.relation.issn","0032-5791"],["dc.title","The effect of naked neck gene and ambient temperature and their interaction on reproductive traits of heavy broiler dams"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","394"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Journal of Animal Breeding and Genetics"],["dc.bibliographiccitation.lastpage","406"],["dc.bibliographiccitation.volume","128"],["dc.contributor.author","Hasler, H."],["dc.contributor.author","Flury, Christine"],["dc.contributor.author","Menet, S."],["dc.contributor.author","Haase, B."],["dc.contributor.author","Leeb, Tosso"],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Poncet, P. A."],["dc.contributor.author","Rieder, Stefan"],["dc.date.accessioned","2018-11-07T08:51:23Z"],["dc.date.available","2018-11-07T08:51:23Z"],["dc.date.issued","2011"],["dc.description.abstract","The Franches-Montagnes is an indigenous Swiss horse breed, with approximately 2500 foalings per year. The stud book is closed, and no introgression from other horse breeds was conducted since 1998. Since 2006, breeding values for 43 different traits (conformation, performance and coat colour) are estimated with a best linear unbiased prediction (BLUP) multiple trait animal model. In this study, we evaluated the genetic diversity for the breeding population, considering the years from 2003 to 2008. Only horses with at least one progeny during that time span were included. Results were obtained based on pedigree information as well as from molecular markers. A series of software packages were screened to combine best the best linear unbiased prediction (BLUP) methodology with optimal genetic contribution theory. We looked for stallions with highest breeding values and lowest average relationship to the dam population. Breeding with such stallions is expected to lead to a selection gain, while lowering the future increase in inbreeding within the breed."],["dc.identifier.doi","10.1111/j.1439-0388.2011.00932.x"],["dc.identifier.isi","000295013900008"],["dc.identifier.pmid","21906185"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/21921"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","0931-2668"],["dc.title","Genetic diversity in an indigenous horse breed - implications for mating strategies and the control of future inbreeding"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Simianer, Henner"],["dc.date.accessioned","2021-07-05T09:32:22Z"],["dc.date.available","2021-07-05T09:32:22Z"],["dc.date.issued","2016-04-26"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87498"],["dc.relation.conference","Landwirtschaft zwischen Idylle und Hightech"],["dc.relation.date","2016-04-26"],["dc.relation.eventlocation","Göttingen"],["dc.relation.multimedia","https://www.youtube.com/watch?v=dL90mzzRgCo"],["dc.title","Genomische und andere Revolutionen in der Tierzucht"],["dc.type","lecture"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","5954"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Journal of Dairy Science"],["dc.bibliographiccitation.lastpage","5964"],["dc.bibliographiccitation.volume","96"],["dc.contributor.author","Kramer, M."],["dc.contributor.author","Erbe, Malena"],["dc.contributor.author","Bapst, Beat"],["dc.contributor.author","Bieber, A."],["dc.contributor.author","Simianer, Henner"],["dc.date.accessioned","2018-11-07T09:20:54Z"],["dc.date.available","2018-11-07T09:20:54Z"],["dc.date.issued","2013"],["dc.description.abstract","The aim of this study was to estimate genetic parameters and accuracies of breeding values for a set of functional, behavior, and conformation traits in Brown Swiss cattle. These traits were milking speed, udder depth, position of labia, rank order in herd, general temperament, aggressiveness, milking temperament, and days to first heat. Data of 1,799 phenotyped Brown Swiss cows from 40 Swiss dairy herds were analyzed taking the complete pedigree into account. Estimated heritabilities were within the ranges reported in literature, with results at the high end of the reported values for some traits (e.g., milking speed: 0.42 +/- 0.06, udder depth: 0.42 +/- 0.06), whereas other traits were of low heritability and heritability estimates were of low accuracy (e.g., milking temperament: 0.04 +/- 0.04, days to first heat: 0.02 +/- 0.04). For most behavior traits, we found relatively high heritabilities (general temperament: 0.38 +/- 0.07, aggressiveness: 0.12 +/- 0.08, and rank order in herd: 0.16 +/- 0.06). Position of labia, arguably an indicator trait for pathological urovagina, was genetically analyzed in this study for the first time, and a moderate heritability (0.28 +/- 0.06) was estimated."],["dc.description.sponsorship","European Commission [222623]"],["dc.identifier.doi","10.3168/jds.2012-6236"],["dc.identifier.isi","000323185600050"],["dc.identifier.pmid","23871377"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/28984"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Inc"],["dc.relation.issn","0022-0302"],["dc.title","Estimation of genetic parameters for novel functional traits in Brown Swiss cattle"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]