<p>Significances of the regression were “<sup>**</sup>” for <i>P</i><0.01 and “<sup>***</sup>” for <i>P</i><0.001.</p
<p>Mixed-effects regression coefficients (ng/dl) and significance levels for T as dependent variable...
<p>Regression analysis, Pearson correlation: 0.733398, significance (2-tailed), p = 0.000.</p
<p>Correlation matrix of predictor variables. Significant (P< 0.05) correlation coefficients are sho...
<p>Simple correlation coefficients were calculated between the traits using the adjusted means of th...
<p>Correlation coefficients and statistical significance for T<sub>s</sub> and SWC semivariogram pro...
a<p><i>P</i><0.005, <sup>b</sup><i>P</i><0.01, <sup>c</sup><i>P</i><0.05; NS: non-significant; <i>r<...
<p>*Correlation is significant at the 0.05 level (2-tailed).</p><p>**Correlation is significant at t...
<p>The correlation coefficients (<i>R</i><sup><i>2</i></sup>) among the samples.</p
Correlation coefficients (r) between gains (∆) in MPO (W) and baseline characteristics.</p
<p>Pearson's correlation coefficients for model variables. Coefficients shown in bold represent sign...
<p>**Significant at the 0.01 level.</p><p>Correlation coefficients among the three resistance-associ...
<p>** Correlation is significant at the 0.01 level (2-tailed) after corrections following [<a href="...
<p>“–” indicates controlling for that variable. Significance level:<sup> NS</sup> (Non-significant) ...
Correlation coefficients among different traits based on data from each treatment for the two years....
<p>* Significant correlation <0.4.</p><p>** Significant correlation 0.4–0.6.</p><p>*** Significant c...
<p>Mixed-effects regression coefficients (ng/dl) and significance levels for T as dependent variable...
<p>Regression analysis, Pearson correlation: 0.733398, significance (2-tailed), p = 0.000.</p
<p>Correlation matrix of predictor variables. Significant (P< 0.05) correlation coefficients are sho...
<p>Simple correlation coefficients were calculated between the traits using the adjusted means of th...
<p>Correlation coefficients and statistical significance for T<sub>s</sub> and SWC semivariogram pro...
a<p><i>P</i><0.005, <sup>b</sup><i>P</i><0.01, <sup>c</sup><i>P</i><0.05; NS: non-significant; <i>r<...
<p>*Correlation is significant at the 0.05 level (2-tailed).</p><p>**Correlation is significant at t...
<p>The correlation coefficients (<i>R</i><sup><i>2</i></sup>) among the samples.</p
Correlation coefficients (r) between gains (∆) in MPO (W) and baseline characteristics.</p
<p>Pearson's correlation coefficients for model variables. Coefficients shown in bold represent sign...
<p>**Significant at the 0.01 level.</p><p>Correlation coefficients among the three resistance-associ...
<p>** Correlation is significant at the 0.01 level (2-tailed) after corrections following [<a href="...
<p>“–” indicates controlling for that variable. Significance level:<sup> NS</sup> (Non-significant) ...
Correlation coefficients among different traits based on data from each treatment for the two years....
<p>* Significant correlation <0.4.</p><p>** Significant correlation 0.4–0.6.</p><p>*** Significant c...
<p>Mixed-effects regression coefficients (ng/dl) and significance levels for T as dependent variable...
<p>Regression analysis, Pearson correlation: 0.733398, significance (2-tailed), p = 0.000.</p
<p>Correlation matrix of predictor variables. Significant (P< 0.05) correlation coefficients are sho...