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Data from: Integrating correlation between traits improves spatial predictions of plant functional composition
- 负责人：
- DOI：
- doi:10.5061/dryad.v475g
- 摘要：
- oaches, joint trait models explain considerable amounts of variation in CWMs, yield less uncertainty in trait CWM predictions and provide more realistic spati
Data from: Quantifying and modelling decay in forecast proficiency indicates the limits of transferability in land-cover classification
- 负责人：
- DOI：
- doi:10.5061/dryad.s156b
- 摘要：
- e. 2. Following the concept of ‘forecast horizon’, we suggest that the predictability of land-cover classification models should be methodologically explored with quantitati
Data from: Assimilating MODIS data-derived minimum input data set and water stress factors into CERES-Maize model improves regional corn yield predictions
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.7ms8db6
- 摘要：
- ng Moderate Resolution Imaging Spectroradiometer (MODIS) products into a crop growth model was developed, and regional yield prediction performance was evaluated in a major corn-producing state, Illin
Data from: Genomic prediction accuracies in space and time for height and wood density of Douglas-fir using exome capture as the genotyping platform
- 负责人：
- DOI：
- doi:10.5061/dryad.vk048
- 摘要：
- . Conclusions While GS models’ prediction accuracies were high, the main driving force was the pedigree tracking rather than LD. It is likely that many mo
Data from: Modeling central metabolism and energy biosynthesis across microbial life
- 负责人：
- DOI：
- doi:10.5061/dryad.gs51v
- 摘要：
- in genome-scale metabolic models, and the need for extensive gapfilling to support complex biomass reactions, often results in predicting unrealistic yields or unrealistic
Data from: Development of machine learning models for diagnosis of glaucoma
- 负责人：
- DOI：
- doi:10.5061/dryad.q6ft5
- 摘要：
- The study aimed to develop machine learning models that have strong prediction power and interpretability for diagnosis of glaucoma based
on, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines
- 负责人：
- 关键词：
- genomic selection genomics-assisted breeding rice genome-wide association study genotyping-by-sequencing
- DOI：
- doi:10.5061/dryad.7369p
- 摘要：
- er of markers, and trait were varied to determine their effect on prediction accuracy. For all three traits, genomic prediction models outperformed prediction
Data from: Predicting ecological responses in a changing ocean: the effects of future climate uncertainty
- 负责人：
- DOI：
- doi:10.5061/dryad.4f98t
- 摘要：
- ty of a climate model into results. We explored the influence that the choice of emission scenario, climate model, and model realisation can have when predicting
Data from: Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.ps22r
- 摘要：
- on in both water conditions. For grain yield (GY), the AD model doubled the predictive accuracy in comparison to the A model. FA framework allowed
Data from: Estimating age and age class of harvested hog deer from eye lens mass using frequentist and Bayesian methods
- 负责人：
- 关键词：
- age estimation age class mammals linear discriminant analysis Bayesian eye lens non-linear inverse prediction inverse prediction deer known-age individuals
- DOI：
- doi:10.5061/dryad.0r31r
- 摘要：
- ecision of age predictions obtained using the Lord model in a Bayesian mode of inference decreased with increasing eye lens dry mass, with the size of the 95% CI
