Regression coefficients of TBVs on GEBVs in generation 3 in four scenarios with different genetic correlations.

<p>Regression coefficients of TBVs on GEBVs in generation 3 in four scenarios with different genetic correlations.</p

Accuracies of GEBVs for the two traits in generation 3 in four scenarios of different genetic correlations.

<p>Accuracies of GEBVs for the two traits in generation 3 in four scenarios of different genetic correlations.</p

The estimated genetic correlations (), residual correlations , and proportions of true QTL () from LT-BayesCπ in four scenarios of different genetic correlations.

<p>The estimated genetic correlations (), residual correlations , and proportions of true QTL () from LT-BayesCπ in four scenarios of different genetic correlations.</p

Bayesian methods for jointly estimating genomic breeding values of one continuous and one threshold trait - Fig 1

<p><b>Simulated QTL effects and estimated SNP effects for the continuous trait (trait A) and the binary threshold trait (trait B) from a randomly selected replicate in the standard scenario.</b> Panels Q_traitA and Q_traitB show the absolute values of the simulated true QTL effects. Panels Cpi_traitA, LTCpi_traitA, TCpi_traitB, and LTCpi_traitB show the absolute values of estimated SNP effects by BayesCπ for trait A, LT-BayesCπ for trait A, BayesTCπ for trait B, and LT-BayesCπ for trait B, respectively.</p

Accuracies and bias of GEBVs from three methods for the common dataset from the 14^th QTL-MAS workshop.

<p>Accuracies and bias of GEBVs from three methods for the common dataset from the 14^th QTL-MAS workshop.</p

Accuracies of GEBVs from three methods in generation 3 when the number of simulated true QTL changed from 20 to 500.

<p>Accuracies of GEBVs from three methods in generation 3 when the number of simulated true QTL changed from 20 to 500.</p

Accuracies of GEBVs from three methods in generation 3 with different heritabilities.

<p><b>A:</b> heritability of the continuous trait A changing from 0.3 to 0.8, while keeping the heritability of the binary threshold trait constant (0.1); <b>B:</b> heritability of the binary threshold trait B changing from 0.1 to 0.5, while keeping the heritability of the continuous trait constant (0.3).</p

Accuracies of GEBVs (mean±s.e. from 20 replicates) obtained from three methods in generations 3–6 in the standard scenario.

<p>Accuracies of GEBVs (mean±s.e. from 20 replicates) obtained from three methods in generations 3–6 in the standard scenario.</p

Accuracies of GEBVs from three methods in generation 3 when the incidence of the binary threshold trait increased from 0.05 to 0.5.

<p>Accuracies of GEBVs from three methods in generation 3 when the incidence of the binary threshold trait increased from 0.05 to 0.5.</p

Carbon Disulfide Cosolvent Electrolytes for High-Performance Lithium Sulfur Batteries

Development of lithium sulfur (Li–S) batteries with high Coulombic efficiency and long cycle stability remains challenging due to the dissolution and shuttle of polysulfides in electrolyte. Here, a novel additive, carbon disulfide (CS₂), to the organic electrolyte is reported to improve the cycling performance of Li–S batteries. The cells with the CS₂-additive electrolyte exhibit high Coulombic efficiency and long cycle stability, showing average Coulombic efficiency >99% and a capacity retention of 88% over the entire 300 cycles. The function of the CS₂ additive is 2-fold: (1) it inhibits the migration of long-chain polysulfides to the anode by forming complexes with polysulfides and (2) it passivates electrode surfaces by inducing the protective coatings on both the anode and the cathode