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Data from: Combining high-throughput phenotyping and genomic information to increase prediction and selection accuracy in wheat breeding
负责人:
Poland, Jesse
关键词:
Crop genetics Genomic selection High throughput phenotyping Wheat breeding Yield prediction modeling
DOI:
doi:10.5061/dryad.7f138
摘要:
the standard univariate model. Continued advances in yield prediction models as well as increasing data generating capabilities for both genomic and phenomic
Data from: Advancing restoration ecology: a new approach to predict time to recovery
负责人:
关键词:
Time to recovery;restoration;Ordination;Reference;Prediction;species composition;present;modelling;recovery;Successional gradient
DOI:
doi:10.5061/dryad.vr93sj5
摘要:
y, linear models were too optimistic about the time to recovery whereas the asymptotic models provided more precise predictions. 4. Synthesis and applicati
Data from: Comparing the prediction of joint species distribution models with respect to characteristics of sampling data
负责人:
关键词:
JSDM;cross validation;sampling
DOI:
doi:10.5061/dryad.rd55f
摘要:
for those newly developed models. This study systematically evaluated the performances of five JSDMs in predicting the occurrence and biomass of multi
Data from: Developing allometric models to predict the individual aboveground biomass of shrubs worldwide
负责人:
关键词:
plant allometry;carbon inventories;dimensional relationships;Scaling relationships;allometric model construction;biomass equation;multistemmed individuals;crown diameter
DOI:
doi:10.5061/dryad.282bm46
摘要:
of uncertainty in biomass estimates. This limitation led us to i) develop global predictive models of shrub individual aboveground biomass based on simple
Data from: Genomic analysis and prediction within a US public collaborative winter wheat regional testing nursery
负责人:
关键词:
Wheat breeding;plant breeding;Genomic selection;Triticum aestivum
DOI:
doi:10.5061/dryad.q968v83
摘要:
The development of inexpensive, whole-genome profiling enables a transition to allele-based breeding using genomic prediction models. These models
Data from: An integrated occupancy and space-use model to predict abundance of imperfectly detected, territorial vertebrates
负责人:
关键词:
Density population size wildlife habitat model Bayesian home range Black- backed Woodpecker
DOI:
doi:10.5061/dryad.4ff53
摘要:
owing that the model is successful at predicting both absolute abundance at fires as well as relative abundance within and among fires. The conceptual model
Data from: Robust regression and posterior predictive simulation increase power to detect early bursts of trait evolution
负责人:
关键词:
Predictive Simulations;early burst;Comparative Methods;Adaptive Radiations;Quantitative Characters
DOI:
doi:10.5061/dryad.sp521
摘要:
on. However, posterior predictive simulation combined with a robust node height test return low support for Brownian motion or rate shift models
Assessment of the FEMA HAZUS-MH 2.0 crop loss tool Fremont County, Iowa 2011
负责人:
关键词:
Geographic Information Science and Technology HAZUS FEMA Fremont County agriculture flood loss prediction food security
DOI:
doi:10.25549/usctheses-c3-361767
摘要:
. For natural hazards, FEMA in 2011 released a major update of its GIS-based predictive modeling tool, HAZUS-MH 2.0? (hereafter HAZUS), which deals with earthquakes
Data from: Surrogate modelling for the prediction of spatial fields based on simultaneous dimensionality reduction of high-dimensional input/output
负责人:
关键词:
simultaneous dimensionality reduction;Gaussian process regression;spatial field emulation;stochastic PDE
DOI:
doi:10.5061/dryad.3g280
摘要:
partial differential equation models while retaining the qualitative features of the original models. This allows us to build a surrogate model for the prediction of spati
Data from: A novel growth model evaluating age-size effect on long-term trends in tree growth.
负责人:
关键词:
Metabolic theory;21st century;age-related physiological constraints;20th century;Cryptomeria japonica;hierarchical Bayes;neighbourhood analysis;Genetic Variation;competition;climate;conifer
DOI:
doi:10.5061/dryad.7qc3s
摘要:
, our growth model supports the conclusion that it is possible to predict long-term trends in tree growth reliably with respect to both age and size. In additi

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