Generalized linear mixed model fit by maximum likelihood (Laplace
  Approximation) [glmerMod]
 Family: binomial  ( logit )
Formula: cbind(seeds_sprouted, seeds_sown - seeds_sprouted) ~ watering +  
    batch + (1 | tray_id)
   Data: trays

      AIC       BIC    logLik -2*log(L)  df.resid 
    287.6     302.6    -135.8     271.6        40 

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.43101 -0.29504 -0.05139  0.49570  1.04567 

Random effects:
 Groups  Name        Variance Std.Dev.
 tray_id (Intercept) 0.3581   0.5984  
Number of obs: 48, groups:  tray_id, 48

Fixed effects:
              Estimate Std. Error z value Pr(>|z|)  
(Intercept)  -0.477441   0.279414  -1.709   0.0875 .
wateringmist  0.435295   0.211707   2.056   0.0398 *
batchB2       0.068796   0.364614   0.189   0.8503  
batchB3       0.435833   0.365244   1.193   0.2328  
batchB4       0.001746   0.365056   0.005   0.9962  
batchB5       0.057323   0.367629   0.156   0.8761  
batchB6       0.726784   0.366622   1.982   0.0474 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
            (Intr) wtrngm btchB2 btchB3 btchB4 btchB5
wateringmst -0.384                                   
batchB2     -0.654  0.002                            
batchB3     -0.654  0.005  0.500                     
batchB4     -0.654  0.004  0.500  0.499              
batchB5     -0.646 -0.006  0.497  0.495  0.496       
batchB6     -0.655  0.013  0.498  0.498  0.497  0.493