[1] "Abaecin 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -1.61132 -0.62709 0.03172 0.38997 1.61592 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.9892 0.4450 -6.717 0.00015 *** PROCHLORAZYes 0.7344 0.6294 1.167 0.27687 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9951 on 8 degrees of freedom (10 observations deleted due to missingness) Multiple R-squared: 0.1454, Adjusted R-squared: 0.03862 F-statistic: 1.362 on 1 and 8 DF, p-value: 0.2769 Estimate Std. Error t value Pr(>|t|) (Intercept) -2.98922 0.44504 -6.7168 0.0001501 *** PROCHLORAZYes 0.73439 0.62938 1.1668 0.2768738 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Abaecin 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.9566 -0.8532 -0.2092 1.6579 2.4522 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.2237 0.8305 -1.473 0.1600 NOSEMAYes -0.9079 1.1745 -0.773 0.4508 PROCHLORAZYes -1.4703 1.1745 -1.252 0.2286 NOSEMAYes:PROCHLORAZYes 3.9230 1.6610 2.362 0.0312 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.857 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.3202, Adjusted R-squared: 0.1928 F-statistic: 2.513 on 3 and 16 DF, p-value: 0.09543 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.22371 0.83048 -1.4735 0.16002 NOSEMAYes -0.90788 1.17448 -0.7730 0.45079 PROCHLORAZYes -1.47035 1.17448 -1.2519 0.22859 NOSEMAYes:PROCHLORAZYes 3.92298 1.66097 2.3619 0.03119 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Abaecin 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.6399 -0.4507 0.1159 0.6115 1.2907 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.1580 0.4288 -2.700 0.0164 * NOSEMAYes -0.5222 0.6065 -0.861 0.4028 PROCHLORAZYes -0.1038 0.6432 -0.161 0.8739 NOSEMAYes:PROCHLORAZYes 0.6854 0.8840 0.775 0.4502 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9589 on 15 degrees of freedom (21 observations deleted due to missingness) Multiple R-squared: 0.06962, Adjusted R-squared: -0.1165 F-statistic: 0.3742 on 3 and 15 DF, p-value: 0.7729 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.15803 0.42883 -2.7005 0.01644 * NOSEMAYes -0.52218 0.60645 -0.8610 0.40277 PROCHLORAZYes -0.10384 0.64324 -0.1614 0.87390 NOSEMAYes:PROCHLORAZYes 0.68541 0.88405 0.7753 0.45021 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Abaecin 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.52427 -0.89550 0.08676 1.11049 2.48174 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.8428 0.7358 -1.145 0.269 NOSEMAYes -0.8540 1.0406 -0.821 0.424 PROCHLORAZYes -0.3185 1.0406 -0.306 0.764 NOSEMAYes:PROCHLORAZYes 2.3701 1.4716 1.611 0.127 Residual standard error: 1.645 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.2073, Adjusted R-squared: 0.05862 F-statistic: 1.394 on 3 and 16 DF, p-value: 0.2807 Estimate Std. Error t value Pr(>|t|) (Intercept) -0.84281 0.73582 -1.1454 0.2689 NOSEMAYes -0.85404 1.04060 -0.8207 0.4239 PROCHLORAZYes -0.31849 1.04060 -0.3061 0.7635 NOSEMAYes:PROCHLORAZYes 2.37011 1.47163 1.6105 0.1268 [1] "Basket 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -1.58674 -0.39201 0.03257 0.57354 0.97902 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.77920 0.36855 -7.541 6.67e-05 *** PROCHLORAZYes -0.01517 0.52121 -0.029 0.977 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8241 on 8 degrees of freedom (10 observations deleted due to missingness) Multiple R-squared: 0.0001059, Adjusted R-squared: -0.1249 F-statistic: 0.0008472 on 1 and 8 DF, p-value: 0.9775 Estimate Std. Error t value Pr(>|t|) (Intercept) -2.779200 0.368550 -7.5409 6.665e-05 *** PROCHLORAZYes -0.015171 0.521209 -0.0291 0.9775 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Basket 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.75486 -0.89689 -0.00851 0.81855 2.83252 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.6092 0.6481 -7.112 2.46e-06 *** NOSEMAYes -0.6020 0.9165 -0.657 0.5206 PROCHLORAZYes 2.2791 0.9165 2.487 0.0243 * NOSEMAYes:PROCHLORAZYes 0.7951 1.2961 0.613 0.5482 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.449 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.5229, Adjusted R-squared: 0.4334 F-statistic: 5.845 on 3 and 16 DF, p-value: 0.006799 Estimate Std. Error t value Pr(>|t|) (Intercept) -4.60916 0.64807 -7.1121 2.463e-06 *** NOSEMAYes -0.60200 0.91651 -0.6568 0.52062 PROCHLORAZYes 2.27906 0.91651 2.4867 0.02432 * NOSEMAYes:PROCHLORAZYes 0.79513 1.29614 0.6135 0.54819 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Basket 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -4.2632 -0.6397 -0.2906 0.8482 2.4856 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.2327 0.7269 -5.823 2.59e-05 *** NOSEMAYes 0.3286 1.0280 0.320 0.753 PROCHLORAZYes -0.5376 1.0280 -0.523 0.608 NOSEMAYes:PROCHLORAZYes -0.8441 1.4538 -0.581 0.570 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.625 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.1158, Adjusted R-squared: -0.04994 F-statistic: 0.6988 on 3 and 16 DF, p-value: 0.5663 Estimate Std. Error t value Pr(>|t|) (Intercept) -4.23274 0.72692 -5.8229 2.594e-05 *** NOSEMAYes 0.32862 1.02802 0.3197 0.7534 PROCHLORAZYes -0.53757 1.02802 -0.5229 0.6082 NOSEMAYes:PROCHLORAZYes -0.84411 1.45384 -0.5806 0.5696 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Basket 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -4.2785 -0.3836 0.1929 1.1396 1.7586 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.6498 0.7895 -3.356 0.00401 ** NOSEMAYes 0.7685 1.1165 0.688 0.50111 PROCHLORAZYes 1.0263 1.1165 0.919 0.37165 NOSEMAYes:PROCHLORAZYes -1.0591 1.5790 -0.671 0.51198 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.765 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.05535, Adjusted R-squared: -0.1218 F-statistic: 0.3125 on 3 and 16 DF, p-value: 0.8161 Estimate Std. Error t value Pr(>|t|) (Intercept) -2.64983 0.78951 -3.3563 0.004014 ** NOSEMAYes 0.76854 1.11654 0.6883 0.501107 PROCHLORAZYes 1.02630 1.11654 0.9192 0.371651 NOSEMAYes:PROCHLORAZYes -1.05906 1.57903 -0.6707 0.511977 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Cactus 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -1.0769 -0.9475 0.1182 0.6465 1.4062 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.5933 0.4427 -5.858 0.00038 *** PROCHLORAZYes 1.1954 0.6261 1.909 0.09263 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.99 on 8 degrees of freedom (10 observations deleted due to missingness) Multiple R-squared: 0.313, Adjusted R-squared: 0.2272 F-statistic: 3.645 on 1 and 8 DF, p-value: 0.09263 Estimate Std. Error t value Pr(>|t|) (Intercept) -2.59329 0.44273 -5.8575 0.0003795 *** PROCHLORAZYes 1.19544 0.62611 1.9093 0.0926301 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Cactus 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.86823 -0.73608 0.06697 0.62307 1.60149 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.0833 0.4920 -4.234 0.000632 *** NOSEMAYes -0.5578 0.6958 -0.802 0.434534 PROCHLORAZYes 1.0791 0.6958 1.551 0.140496 NOSEMAYes:PROCHLORAZYes -0.4907 0.9840 -0.499 0.624774 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.1 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.2655, Adjusted R-squared: 0.1278 F-statistic: 1.928 on 3 and 16 DF, p-value: 0.1657 Estimate Std. Error t value Pr(>|t|) (Intercept) -2.08331 0.49202 -4.2342 0.0006317 *** NOSEMAYes -0.55777 0.69583 -0.8016 0.4345336 PROCHLORAZYes 1.07911 0.69583 1.5508 0.1404963 NOSEMAYes:PROCHLORAZYes -0.49075 0.98405 -0.4987 0.6247743 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Cactus 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.38026 -0.61013 0.08044 0.50343 1.73290 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.5622 0.4857 -3.216 0.00539 ** NOSEMAYes 0.2719 0.6869 0.396 0.69743 PROCHLORAZYes -1.0620 0.6869 -1.546 0.14163 NOSEMAYes:PROCHLORAZYes -0.1486 0.9714 -0.153 0.88033 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.086 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.2614, Adjusted R-squared: 0.1229 F-statistic: 1.887 on 3 and 16 DF, p-value: 0.1724 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.56220 0.48569 -3.2164 0.005388 ** NOSEMAYes 0.27191 0.68687 0.3959 0.697430 PROCHLORAZYes -1.06196 0.68687 -1.5461 0.141634 NOSEMAYes:PROCHLORAZYes -0.14860 0.97139 -0.1530 0.880329 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Cactus 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.8603 -0.2243 0.3717 0.7258 0.9088 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.7713 0.5082 -1.518 0.149 NOSEMAYes 0.3747 0.7187 0.521 0.609 PROCHLORAZYes 0.4437 0.7187 0.617 0.546 NOSEMAYes:PROCHLORAZYes -0.6815 1.0164 -0.671 0.512 Residual standard error: 1.136 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.03001, Adjusted R-squared: -0.1519 F-statistic: 0.165 on 3 and 16 DF, p-value: 0.9184 Estimate Std. Error t value Pr(>|t|) (Intercept) -0.77133 0.50822 -1.5177 0.1486 NOSEMAYes 0.37466 0.71874 0.5213 0.6093 PROCHLORAZYes 0.44368 0.71874 0.6173 0.5457 NOSEMAYes:PROCHLORAZYes -0.68154 1.01645 -0.6705 0.5121 [1] "Defensin1 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -3.5425 -1.0262 0.3386 1.4450 2.1905 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.0806 0.8999 -1.201 0.264 PROCHLORAZYes 1.7344 1.2727 1.363 0.210 Residual standard error: 2.012 on 8 degrees of freedom (10 observations deleted due to missingness) Multiple R-squared: 0.1884, Adjusted R-squared: 0.08697 F-statistic: 1.857 on 1 and 8 DF, p-value: 0.2101 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.08060 0.89991 -1.2008 0.2642 PROCHLORAZYes 1.73440 1.27266 1.3628 0.2101 [1] "Defensin1 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -3.1691 -0.4098 0.2285 0.9764 1.5687 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.6213 0.6023 -1.032 0.31763 NOSEMAYes -1.6315 0.8518 -1.915 0.07350 . PROCHLORAZYes -0.4747 0.8518 -0.557 0.58501 NOSEMAYes:PROCHLORAZYes 4.4248 1.2046 3.673 0.00206 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.347 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.5871, Adjusted R-squared: 0.5096 F-statistic: 7.582 on 3 and 16 DF, p-value: 0.002245 Estimate Std. Error t value Pr(>|t|) (Intercept) -0.62131 0.60232 -1.0315 0.317629 NOSEMAYes -1.63147 0.85180 -1.9153 0.073502 . PROCHLORAZYes -0.47474 0.85180 -0.5573 0.585014 NOSEMAYes:PROCHLORAZYes 4.42483 1.20463 3.6732 0.002056 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Defensin1 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.1784 -1.6379 0.2906 1.3536 2.2988 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -3.6355 0.8006 -4.541 0.000554 *** NOSEMAYes -1.6612 1.1322 -1.467 0.166091 PROCHLORAZYes -0.5929 1.2009 -0.494 0.629728 NOSEMAYes:PROCHLORAZYes 0.2581 1.7752 0.145 0.886624 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.79 on 13 degrees of freedom (23 observations deleted due to missingness) Multiple R-squared: 0.2061, Adjusted R-squared: 0.02294 F-statistic: 1.125 on 3 and 13 DF, p-value: 0.3749 Estimate Std. Error t value Pr(>|t|) (Intercept) -3.63548 0.80058 -4.5411 0.0005541 *** NOSEMAYes -1.66116 1.13219 -1.4672 0.1660907 PROCHLORAZYes -0.59291 1.20086 -0.4937 0.6297275 NOSEMAYes:PROCHLORAZYes 0.25811 1.77516 0.1454 0.8866241 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Defensin1 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.64929 -0.48345 -0.08386 0.48720 2.56125 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -8.6551 0.6903 -12.538 5.29e-07 *** NOSEMAYes -0.3749 1.1272 -0.333 0.747 PROCHLORAZYes -0.1861 1.1272 -0.165 0.872 NOSEMAYes:PROCHLORAZYes 1.1890 1.8044 0.659 0.526 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.544 on 9 degrees of freedom (27 observations deleted due to missingness) Multiple R-squared: 0.05717, Adjusted R-squared: -0.2571 F-statistic: 0.1819 on 3 and 9 DF, p-value: 0.906 Estimate Std. Error t value Pr(>|t|) (Intercept) -8.65510 0.69028 -12.5384 5.293e-07 *** NOSEMAYes -0.37486 1.12723 -0.3325 0.7471 PROCHLORAZYes -0.18613 1.12723 -0.1651 0.8725 NOSEMAYes:PROCHLORAZYes 1.18896 1.80445 0.6589 0.5265 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Defensin2 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -1.50795 -1.10237 0.09635 0.70291 1.69814 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.6204 0.5157 -8.960 4.39e-05 *** PROCHLORAZYes 3.1674 0.7735 4.095 0.0046 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.153 on 7 degrees of freedom (10 observations deleted due to missingness) Multiple R-squared: 0.7055, Adjusted R-squared: 0.6634 F-statistic: 16.77 on 1 and 7 DF, p-value: 0.004604 Estimate Std. Error t value Pr(>|t|) (Intercept) -4.62035 0.51569 -8.9595 4.393e-05 *** PROCHLORAZYes 3.16742 0.77354 4.0947 0.004604 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Defensin2 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.2290 -0.5134 0.1384 0.4433 1.2903 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.0541 0.3331 -3.165 0.006002 ** NOSEMAYes 0.5862 0.4710 1.245 0.231221 PROCHLORAZYes 1.0950 0.4710 2.325 0.033562 * NOSEMAYes:PROCHLORAZYes -2.9684 0.6661 -4.456 0.000398 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7447 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.6404, Adjusted R-squared: 0.573 F-statistic: 9.498 on 3 and 16 DF, p-value: 0.0007697 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.05415 0.33305 -3.1651 0.0060021 ** NOSEMAYes 0.58619 0.47101 1.2445 0.2312206 PROCHLORAZYes 1.09503 0.47101 2.3248 0.0335624 * NOSEMAYes:PROCHLORAZYes -2.96840 0.66611 -4.4563 0.0003979 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Defensin2 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -0.68701 -0.17498 -0.00907 0.23264 0.63090 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.16904 0.16651 -1.015 0.3251 NOSEMAYes 0.08828 0.23548 0.375 0.7127 PROCHLORAZYes 0.62240 0.23548 2.643 0.0177 * NOSEMAYes:PROCHLORAZYes -0.54419 0.33301 -1.634 0.1217 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.3723 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.342, Adjusted R-squared: 0.2186 F-statistic: 2.772 on 3 and 16 DF, p-value: 0.07539 Estimate Std. Error t value Pr(>|t|) (Intercept) -0.169044 0.166507 -1.0152 0.32510 NOSEMAYes 0.088277 0.235476 0.3749 0.71267 PROCHLORAZYes 0.622399 0.235476 2.6432 0.01771 * NOSEMAYes:PROCHLORAZYes -0.544192 0.333014 -1.6341 0.12175 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Defensin2 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.3480 -0.1399 0.1442 0.2703 0.5667 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.77496 0.24132 3.211 0.00545 ** NOSEMAYes -0.01632 0.34128 -0.048 0.96244 PROCHLORAZYes -0.11767 0.34128 -0.345 0.73475 NOSEMAYes:PROCHLORAZYes 0.35394 0.48264 0.733 0.47396 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.5396 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.06111, Adjusted R-squared: -0.1149 F-statistic: 0.3471 on 3 and 16 DF, p-value: 0.7917 Estimate Std. Error t value Pr(>|t|) (Intercept) 0.774960 0.241320 3.2113 0.005446 ** NOSEMAYes -0.016325 0.341278 -0.0478 0.962440 PROCHLORAZYes -0.117667 0.341278 -0.3448 0.734747 NOSEMAYes:PROCHLORAZYes 0.353939 0.482639 0.7333 0.473960 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Domeless 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -2.08510 -0.46561 0.05261 0.72903 1.24890 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.7902 0.4940 -9.696 1.07e-05 *** PROCHLORAZYes 4.3575 0.6987 6.237 0.000249 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.105 on 8 degrees of freedom (10 observations deleted due to missingness) Multiple R-squared: 0.8294, Adjusted R-squared: 0.8081 F-statistic: 38.9 on 1 and 8 DF, p-value: 0.0002492 Estimate Std. Error t value Pr(>|t|) (Intercept) -4.79021 0.49404 -9.6960 1.068e-05 *** PROCHLORAZYes 4.35753 0.69868 6.2368 0.0002492 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Domeless 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.3783 -0.5180 -0.0749 0.4035 1.5737 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.65573 0.32683 2.006 0.062026 . NOSEMAYes 0.16769 0.46220 0.363 0.721498 PROCHLORAZYes -0.09563 0.46220 -0.207 0.838701 NOSEMAYes:PROCHLORAZYes -2.77622 0.65365 -4.247 0.000615 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7308 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.7667, Adjusted R-squared: 0.723 F-statistic: 17.53 on 3 and 16 DF, p-value: 2.605e-05 Estimate Std. Error t value Pr(>|t|) (Intercept) 0.655734 0.326827 2.0064 0.0620258 . NOSEMAYes 0.167690 0.462203 0.3628 0.7214983 PROCHLORAZYes -0.095628 0.462203 -0.2069 0.8387008 NOSEMAYes:PROCHLORAZYes -2.776225 0.653654 -4.2472 0.0006147 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Domeless 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.03934 -0.31076 -0.01507 0.37090 1.02059 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.4926 0.2712 1.816 0.0881 . NOSEMAYes -0.5958 0.3836 -1.553 0.1399 PROCHLORAZYes 0.2479 0.3836 0.646 0.5273 NOSEMAYes:PROCHLORAZYes 0.1961 0.5425 0.361 0.7225 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.6065 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.2426, Adjusted R-squared: 0.1006 F-statistic: 1.708 on 3 and 16 DF, p-value: 0.2054 Estimate Std. Error t value Pr(>|t|) (Intercept) 0.49259 0.27124 1.8160 0.08815 . NOSEMAYes -0.59578 0.38360 -1.5531 0.13994 PROCHLORAZYes 0.24792 0.38360 0.6463 0.52725 NOSEMAYes:PROCHLORAZYes 0.19608 0.54249 0.3615 0.72249 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Domeless 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -0.91709 -0.48488 0.04691 0.29418 1.26502 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.5918 0.2890 -5.507 4.78e-05 *** NOSEMAYes 1.0496 0.4087 2.568 0.0206 * PROCHLORAZYes 0.8247 0.4087 2.018 0.0607 . NOSEMAYes:PROCHLORAZYes -1.1203 0.5781 -1.938 0.0705 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.6463 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.318, Adjusted R-squared: 0.1902 F-statistic: 2.487 on 3 and 16 DF, p-value: 0.09769 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.59175 0.28903 -5.5073 4.777e-05 *** NOSEMAYes 1.04956 0.40875 2.5678 0.02065 * PROCHLORAZYes 0.82475 0.40875 2.0178 0.06071 . NOSEMAYes:PROCHLORAZYes -1.12034 0.57805 -1.9381 0.07046 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Dorsal1 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -1.03176 -0.60593 0.05165 0.59974 0.95631 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.0673 0.3392 -6.094 0.000291 *** PROCHLORAZYes 1.6748 0.4797 3.491 0.008185 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7585 on 8 degrees of freedom (10 observations deleted due to missingness) Multiple R-squared: 0.6037, Adjusted R-squared: 0.5542 F-statistic: 12.19 on 1 and 8 DF, p-value: 0.008185 Estimate Std. Error t value Pr(>|t|) (Intercept) -2.06732 0.33922 -6.0942 0.0002913 *** PROCHLORAZYes 1.67481 0.47974 3.4911 0.0081850 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Dorsal1 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -0.55266 -0.16681 0.03127 0.17360 0.48041 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.7347 0.1471 4.993 0.000133 *** NOSEMAYes 0.2443 0.2081 1.174 0.257503 PROCHLORAZYes 0.2966 0.2081 1.425 0.173280 NOSEMAYes:PROCHLORAZYes -1.7737 0.2943 -6.027 1.76e-05 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.329 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.8171, Adjusted R-squared: 0.7828 F-statistic: 23.83 on 3 and 16 DF, p-value: 3.82e-06 Estimate Std. Error t value Pr(>|t|) (Intercept) 0.73469 0.14713 4.9935 0.0001326 *** NOSEMAYes 0.24432 0.20808 1.1742 0.2575027 PROCHLORAZYes 0.29657 0.20808 1.4253 0.1732800 NOSEMAYes:PROCHLORAZYes -1.77366 0.29426 -6.0275 1.759e-05 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Dorsal1 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -0.79056 -0.16126 0.00203 0.37240 0.74285 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.5687 0.2080 7.540 1.18e-06 *** NOSEMAYes -0.3664 0.2942 -1.245 0.231 PROCHLORAZYes 0.5928 0.2942 2.015 0.061 . NOSEMAYes:PROCHLORAZYes -0.1120 0.4161 -0.269 0.791 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.4652 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.4042, Adjusted R-squared: 0.2924 F-statistic: 3.618 on 3 and 16 DF, p-value: 0.03631 Estimate Std. Error t value Pr(>|t|) (Intercept) 1.56867 0.20804 7.5402 1.185e-06 *** NOSEMAYes -0.36637 0.29422 -1.2452 0.23097 PROCHLORAZYes 0.59283 0.29422 2.0150 0.06103 . NOSEMAYes:PROCHLORAZYes -0.11198 0.41608 -0.2691 0.79128 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Dorsal1 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -0.65016 -0.18754 -0.02136 0.29632 0.50420 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.67006 0.16173 10.326 1.75e-08 *** NOSEMAYes 0.02928 0.22872 0.128 0.900 PROCHLORAZYes 0.10294 0.22872 0.450 0.659 NOSEMAYes:PROCHLORAZYes 0.43173 0.32346 1.335 0.201 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.3616 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.3324, Adjusted R-squared: 0.2072 F-statistic: 2.655 on 3 and 16 DF, p-value: 0.08377 Estimate Std. Error t value Pr(>|t|) (Intercept) 1.670061 0.161728 10.3264 1.754e-08 *** NOSEMAYes 0.029285 0.228717 0.1280 0.8997 PROCHLORAZYes 0.102944 0.228717 0.4501 0.6587 NOSEMAYes:PROCHLORAZYes 0.431727 0.323455 1.3347 0.2006 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Hopscotch 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -0.9416 -0.3424 -0.0219 0.3740 0.6752 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.7629 0.2421 -3.151 0.0136 * PROCHLORAZYes 2.7263 0.3424 7.962 4.52e-05 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.5414 on 8 degrees of freedom (10 observations deleted due to missingness) Multiple R-squared: 0.8879, Adjusted R-squared: 0.8739 F-statistic: 63.39 on 1 and 8 DF, p-value: 4.521e-05 Estimate Std. Error t value Pr(>|t|) (Intercept) -0.76293 0.24213 -3.1509 0.01358 * PROCHLORAZYes 2.72628 0.34243 7.9616 4.521e-05 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Hopscotch 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.04753 -0.43381 -0.00844 0.50990 1.15736 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 3.0670 0.3264 9.397 6.48e-08 *** NOSEMAYes 0.2627 0.4616 0.569 0.5772 PROCHLORAZYes -0.2495 0.4616 -0.540 0.5963 NOSEMAYes:PROCHLORAZYes -1.5286 0.6528 -2.342 0.0325 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7298 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.5223, Adjusted R-squared: 0.4327 F-statistic: 5.831 on 3 and 16 DF, p-value: 0.006862 Estimate Std. Error t value Pr(>|t|) (Intercept) 3.06700 0.32639 9.3967 6.482e-08 *** NOSEMAYes 0.26268 0.46158 0.5691 0.57720 PROCHLORAZYes -0.24948 0.46158 -0.5405 0.59631 NOSEMAYes:PROCHLORAZYes -1.52863 0.65278 -2.3417 0.03246 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Hopscotch 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.3421 -0.3963 0.1666 0.3886 1.0057 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 3.0121 0.3158 9.539 5.28e-08 *** NOSEMAYes -0.4421 0.4466 -0.990 0.337 PROCHLORAZYes 0.3190 0.4466 0.714 0.485 NOSEMAYes:PROCHLORAZYes 0.1949 0.6315 0.309 0.762 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7061 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.159, Adjusted R-squared: 0.001371 F-statistic: 1.009 on 3 and 16 DF, p-value: 0.4146 Estimate Std. Error t value Pr(>|t|) (Intercept) 3.01209 0.31577 9.5387 5.277e-08 *** NOSEMAYes -0.44212 0.44657 -0.9900 0.3369 PROCHLORAZYes 0.31902 0.44657 0.7144 0.4853 NOSEMAYes:PROCHLORAZYes 0.19492 0.63155 0.3086 0.7616 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Hopscotch 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -0.64365 -0.26748 -0.04365 0.11662 1.10322 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.5157 0.2127 7.127 2.4e-06 *** NOSEMAYes 0.5924 0.3008 1.970 0.0665 . PROCHLORAZYes 0.7074 0.3008 2.352 0.0318 * NOSEMAYes:PROCHLORAZYes -0.7030 0.4254 -1.653 0.1179 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.4756 on 16 degrees of freedom (20 observations deleted due to missingness) Multiple R-squared: 0.2987, Adjusted R-squared: 0.1672 F-statistic: 2.271 on 3 and 16 DF, p-value: 0.1194 Estimate Std. Error t value Pr(>|t|) (Intercept) 1.51569 0.21268 7.1266 2.402e-06 *** NOSEMAYes 0.59238 0.30078 1.9695 0.06646 . PROCHLORAZYes 0.70740 0.30078 2.3519 0.03182 * NOSEMAYes:PROCHLORAZYes -0.70301 0.42536 -1.6527 0.11787 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Kayak 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -0.62475 -0.31269 0.04203 0.24491 0.58285 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.8517 0.1915 -4.448 0.00214 ** PROCHLORAZYes 0.7510 0.2708 2.774 0.02416 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.4281 on 8 degrees of freedom Multiple R-squared: 0.4902, Adjusted R-squared: 0.4265 F-statistic: 7.693 on 1 and 8 DF, p-value: 0.02416 Estimate Std. Error t value Pr(>|t|) (Intercept) -0.85166 0.19146 -4.4481 0.002145 ** PROCHLORAZYes 0.75102 0.27077 2.7736 0.024161 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Kayak 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.61496 -0.65159 0.09565 0.66202 1.48797 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.7825 0.4348 -4.099 0.000838 *** NOSEMAYes -2.2874 0.6149 -3.720 0.001863 ** PROCHLORAZYes -0.9446 0.6149 -1.536 0.144045 NOSEMAYes:PROCHLORAZYes 5.4656 0.8696 6.285 1.09e-05 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9723 on 16 degrees of freedom Multiple R-squared: 0.7822, Adjusted R-squared: 0.7414 F-statistic: 19.15 on 3 and 16 DF, p-value: 1.518e-05 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.78253 0.43482 -4.0994 0.0008375 *** NOSEMAYes -2.28740 0.61493 -3.7198 0.0018630 ** PROCHLORAZYes -0.94462 0.61493 -1.5361 0.1440446 NOSEMAYes:PROCHLORAZYes 5.46556 0.86965 6.2848 1.087e-05 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Kayak 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -3.3285 -0.5738 0.2561 0.6515 1.8312 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.1001 0.6402 -6.404 7.79e-05 *** NOSEMAYes -0.6916 1.1977 -0.577 0.576 PROCHLORAZYes -0.3186 0.9603 -0.332 0.747 NOSEMAYes:PROCHLORAZYes -2.8153 1.6217 -1.736 0.113 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.432 on 10 degrees of freedom Multiple R-squared: 0.602, Adjusted R-squared: 0.4826 F-statistic: 5.042 on 3 and 10 DF, p-value: 0.02208 Estimate Std. Error t value Pr(>|t|) (Intercept) -4.1001 0.6402 -6.4044 7.789e-05 *** NOSEMAYes -0.6916 1.1977 -0.5774 0.5764 PROCHLORAZYes -0.3186 0.9603 -0.3318 0.7469 NOSEMAYes:PROCHLORAZYes -2.8153 1.6217 -1.7360 0.1132 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Lys2 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -0.5280 -0.2603 0.0073 0.2254 0.5133 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.4801 0.1588 -9.321 1.43e-05 *** PROCHLORAZYes 0.9925 0.2246 4.419 0.00223 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.3551 on 8 degrees of freedom Multiple R-squared: 0.7094, Adjusted R-squared: 0.6731 F-statistic: 19.53 on 1 and 8 DF, p-value: 0.002228 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.48011 0.15880 -9.3208 1.431e-05 *** PROCHLORAZYes 0.99247 0.22457 4.4194 0.002228 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Lys2 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.7820 -0.5373 -0.1296 0.6371 1.9329 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.5340 0.4597 -3.337 0.00418 ** NOSEMAYes -0.2551 0.6501 -0.392 0.69998 PROCHLORAZYes 1.7727 0.6501 2.727 0.01493 * NOSEMAYes:PROCHLORAZYes 0.1332 0.9194 0.145 0.88661 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.028 on 16 degrees of freedom Multiple R-squared: 0.5031, Adjusted R-squared: 0.4099 F-statistic: 5.399 on 3 and 16 DF, p-value: 0.009267 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.53400 0.45971 -3.3369 0.004181 ** NOSEMAYes -0.25508 0.65013 -0.3923 0.699978 PROCHLORAZYes 1.77273 0.65013 2.7267 0.014931 * NOSEMAYes:PROCHLORAZYes 0.13321 0.91942 0.1449 0.886614 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Lys2 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.0071 -0.6229 -0.0457 0.8479 2.0821 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.0144 0.5372 -1.888 0.0772 . NOSEMAYes 0.6032 0.7597 0.794 0.4388 PROCHLORAZYes -0.2774 0.7597 -0.365 0.7197 NOSEMAYes:PROCHLORAZYes -1.2908 1.0743 -1.202 0.2470 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.201 on 16 degrees of freedom Multiple R-squared: 0.2157, Adjusted R-squared: 0.06869 F-statistic: 1.467 on 3 and 16 DF, p-value: 0.261 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.01439 0.53716 -1.8884 0.07724 . NOSEMAYes 0.60320 0.75966 0.7940 0.43879 PROCHLORAZYes -0.27743 0.75966 -0.3652 0.71974 NOSEMAYes:PROCHLORAZYes -1.29083 1.07432 -1.2015 0.24703 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Lys2 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -3.3689 -0.1836 0.3291 0.6990 1.1690 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.1290 0.5418 0.238 0.815 NOSEMAYes 0.3132 0.7662 0.409 0.688 PROCHLORAZYes 0.6545 0.7662 0.854 0.406 NOSEMAYes:PROCHLORAZYes -0.5015 1.0835 -0.463 0.650 Residual standard error: 1.211 on 16 degrees of freedom Multiple R-squared: 0.04665, Adjusted R-squared: -0.1321 F-statistic: 0.261 on 3 and 16 DF, p-value: 0.8524 Estimate Std. Error t value Pr(>|t|) (Intercept) 0.12899 0.54176 0.2381 0.8148 NOSEMAYes 0.31320 0.76617 0.4088 0.6881 PROCHLORAZYes 0.65451 0.76617 0.8543 0.4056 NOSEMAYes:PROCHLORAZYes -0.50145 1.08353 -0.4628 0.6497 [1] "PGRPSC4300 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -1.1744 -0.7732 -0.1436 0.6582 1.5040 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -3.6094 0.4343 -8.31 3.32e-05 *** PROCHLORAZYes 3.0468 0.6143 4.96 0.00111 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9712 on 8 degrees of freedom Multiple R-squared: 0.7546, Adjusted R-squared: 0.724 F-statistic: 24.6 on 1 and 8 DF, p-value: 0.001107 Estimate Std. Error t value Pr(>|t|) (Intercept) -3.60945 0.43434 -8.3102 3.317e-05 *** PROCHLORAZYes 3.04680 0.61425 4.9602 0.001107 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "PGRPSC4300 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.10728 -0.33502 -0.02218 0.39086 1.40505 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.90212 0.31853 -2.832 0.01202 * NOSEMAYes 0.09742 0.45047 0.216 0.83152 PROCHLORAZYes 1.62687 0.45047 3.612 0.00234 ** NOSEMAYes:PROCHLORAZYes -1.44492 0.63706 -2.268 0.03752 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7123 on 16 degrees of freedom Multiple R-squared: 0.516, Adjusted R-squared: 0.4252 F-statistic: 5.686 on 3 and 16 DF, p-value: 0.007584 Estimate Std. Error t value Pr(>|t|) (Intercept) -0.902115 0.318528 -2.8321 0.012017 * NOSEMAYes 0.097418 0.450467 0.2163 0.831518 PROCHLORAZYes 1.626867 0.450467 3.6115 0.002342 ** NOSEMAYes:PROCHLORAZYes -1.444917 0.637057 -2.2681 0.037521 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "PGRPSC4300 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -0.89062 -0.25362 0.00167 0.18048 0.93081 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.50277 0.21745 2.312 0.0344 * NOSEMAYes -0.08333 0.30752 -0.271 0.7899 PROCHLORAZYes -0.03058 0.30752 -0.099 0.9220 NOSEMAYes:PROCHLORAZYes -0.69818 0.43489 -1.605 0.1280 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.4862 on 16 degrees of freedom Multiple R-squared: 0.3745, Adjusted R-squared: 0.2573 F-statistic: 3.194 on 3 and 16 DF, p-value: 0.05199 Estimate Std. Error t value Pr(>|t|) (Intercept) 0.502772 0.217447 2.3122 0.03441 * NOSEMAYes -0.083330 0.307516 -0.2710 0.78987 PROCHLORAZYes -0.030582 0.307516 -0.0994 0.92202 NOSEMAYes:PROCHLORAZYes -0.698181 0.434893 -1.6054 0.12796 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "PGRPSC4300 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.1989 -0.1001 0.1316 0.4425 0.6090 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.15563 0.32431 3.563 0.00259 ** NOSEMAYes -0.27677 0.45864 -0.603 0.55466 PROCHLORAZYes -0.01166 0.45864 -0.025 0.98003 NOSEMAYes:PROCHLORAZYes 0.66575 0.64861 1.026 0.31996 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7252 on 16 degrees of freedom Multiple R-squared: 0.1143, Adjusted R-squared: -0.05179 F-statistic: 0.6882 on 3 and 16 DF, p-value: 0.5723 Estimate Std. Error t value Pr(>|t|) (Intercept) 1.155626 0.324306 3.5634 0.002592 ** NOSEMAYes -0.276773 0.458637 -0.6035 0.554656 PROCHLORAZYes -0.011661 0.458637 -0.0254 0.980031 NOSEMAYes:PROCHLORAZYes 0.665754 0.648611 1.0264 0.319958 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "PKA-C1 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -0.33262 -0.21187 -0.09603 0.09096 0.82761 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.2197 0.1600 -7.625 6.16e-05 *** PROCHLORAZYes 0.4353 0.2262 1.924 0.0905 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.3577 on 8 degrees of freedom Multiple R-squared: 0.3164, Adjusted R-squared: 0.231 F-statistic: 3.703 on 1 and 8 DF, p-value: 0.09049 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.21969 0.15996 -7.6251 6.159e-05 *** PROCHLORAZYes 0.43534 0.22622 1.9244 0.09049 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "PKA-C1 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.18959 -0.47144 0.00553 0.23284 1.52265 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.02502 0.36078 -5.613 3.89e-05 *** NOSEMAYes -0.34829 0.51022 -0.683 0.505 PROCHLORAZYes 0.87478 0.51022 1.715 0.106 NOSEMAYes:PROCHLORAZYes 0.07529 0.72157 0.104 0.918 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8067 on 16 degrees of freedom Multiple R-squared: 0.3088, Adjusted R-squared: 0.1792 F-statistic: 2.383 on 3 and 16 DF, p-value: 0.1076 Estimate Std. Error t value Pr(>|t|) (Intercept) -2.025018 0.360783 -5.6128 3.889e-05 *** NOSEMAYes -0.348289 0.510225 -0.6826 0.5046 PROCHLORAZYes 0.874784 0.510225 1.7145 0.1057 NOSEMAYes:PROCHLORAZYes 0.075288 0.721567 0.1043 0.9182 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "PKA-C1 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.1279 -0.3890 -0.1374 0.1866 1.4754 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.0776 0.3406 -6.099 1.54e-05 *** NOSEMAYes 0.9142 0.4817 1.898 0.0759 . PROCHLORAZYes 0.6299 0.4817 1.308 0.2095 NOSEMAYes:PROCHLORAZYes -1.3835 0.6813 -2.031 0.0592 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7617 on 16 degrees of freedom Multiple R-squared: 0.2227, Adjusted R-squared: 0.07692 F-statistic: 1.528 on 3 and 16 DF, p-value: 0.2457 Estimate Std. Error t value Pr(>|t|) (Intercept) -2.07763 0.34064 -6.0991 1.537e-05 *** NOSEMAYes 0.91424 0.48174 1.8978 0.07592 . PROCHLORAZYes 0.62992 0.48174 1.3076 0.20949 NOSEMAYes:PROCHLORAZYes -1.38347 0.68129 -2.0307 0.05925 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "PKA-C1 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.5205 -0.4162 0.3335 0.6893 0.7702 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.5524 0.4536 -1.218 0.241 NOSEMAYes 0.3399 0.6415 0.530 0.604 PROCHLORAZYes 0.3233 0.6415 0.504 0.621 NOSEMAYes:PROCHLORAZYes -0.3008 0.9072 -0.332 0.745 Residual standard error: 1.014 on 16 degrees of freedom Multiple R-squared: 0.02615, Adjusted R-squared: -0.1564 F-statistic: 0.1432 on 3 and 16 DF, p-value: 0.9325 Estimate Std. Error t value Pr(>|t|) (Intercept) -0.55239 0.45361 -1.2178 0.2410 NOSEMAYes 0.33986 0.64151 0.5298 0.6035 PROCHLORAZYes 0.32329 0.64151 0.5040 0.6212 NOSEMAYes:PROCHLORAZYes -0.30079 0.90723 -0.3315 0.7445 [1] "PKA-R1 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -0.47702 -0.17177 0.03783 0.12854 0.59637 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.91079 0.14627 6.227 0.000252 *** PROCHLORAZYes -0.09431 0.20686 -0.456 0.660574 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.3271 on 8 degrees of freedom Multiple R-squared: 0.02532, Adjusted R-squared: -0.09651 F-statistic: 0.2079 on 1 and 8 DF, p-value: 0.6606 Estimate Std. Error t value Pr(>|t|) (Intercept) 0.910793 0.146271 6.2267 0.000252 *** PROCHLORAZYes -0.094309 0.206859 -0.4559 0.660574 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "PKA-R1 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.37181 -0.58968 0.00984 0.51361 1.77310 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.8056 0.3877 -7.236 1.99e-06 *** NOSEMAYes -0.6653 0.5483 -1.213 0.24264 PROCHLORAZYes 0.7451 0.5483 1.359 0.19308 NOSEMAYes:PROCHLORAZYes 2.8986 0.7755 3.738 0.00179 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.867 on 16 degrees of freedom Multiple R-squared: 0.7579, Adjusted R-squared: 0.7125 F-statistic: 16.7 on 3 and 16 DF, p-value: 3.49e-05 Estimate Std. Error t value Pr(>|t|) (Intercept) -2.80564 0.38774 -7.2360 1.988e-06 *** NOSEMAYes -0.66527 0.54834 -1.2132 0.242643 PROCHLORAZYes 0.74505 0.54834 1.3587 0.193077 NOSEMAYes:PROCHLORAZYes 2.89857 0.77547 3.7378 0.001793 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "PKA-R1 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -2.0790 -0.7993 0.1266 0.7057 2.4183 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.1346 0.7033 -5.879 3.03e-05 *** NOSEMAYes -1.2831 0.9436 -1.360 0.194 PROCHLORAZYes -1.5293 0.9436 -1.621 0.126 NOSEMAYes:PROCHLORAZYes -0.7010 1.2969 -0.541 0.597 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.407 on 15 degrees of freedom Multiple R-squared: 0.4941, Adjusted R-squared: 0.393 F-statistic: 4.884 on 3 and 15 DF, p-value: 0.01452 Estimate Std. Error t value Pr(>|t|) (Intercept) -4.13464 0.70334 -5.8786 3.032e-05 *** NOSEMAYes -1.28310 0.94363 -1.3598 0.1940 PROCHLORAZYes -1.52934 0.94363 -1.6207 0.1259 NOSEMAYes:PROCHLORAZYes -0.70104 1.29689 -0.5406 0.5968 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "PKA-R1 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.47245 -0.37623 -0.00949 0.51800 1.08547 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -7.456e+00 3.506e-01 -21.263 3.71e-13 *** NOSEMAYes -5.913e-05 4.959e-01 0.000 1.000 PROCHLORAZYes 5.020e-01 4.959e-01 1.012 0.326 NOSEMAYes:PROCHLORAZYes -2.817e-01 7.013e-01 -0.402 0.693 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.784 on 16 degrees of freedom Multiple R-squared: 0.0796, Adjusted R-squared: -0.09298 F-statistic: 0.4612 on 3 and 16 DF, p-value: 0.7132 Estimate Std. Error t value Pr(>|t|) (Intercept) -7.4556e+00 3.5063e-01 -21.2634 3.714e-13 *** NOSEMAYes -5.9128e-05 4.9587e-01 -0.0001 0.9999 PROCHLORAZYes 5.0199e-01 4.9587e-01 1.0123 0.3264 NOSEMAYes:PROCHLORAZYes -2.8165e-01 7.0126e-01 -0.4016 0.6933 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Spaetzle 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -1.1844 -0.7069 0.1916 0.5545 1.0940 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.7560 0.3953 -1.912 0.0922 . PROCHLORAZYes -0.2589 0.5591 -0.463 0.6557 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.884 on 8 degrees of freedom Multiple R-squared: 0.0261, Adjusted R-squared: -0.09564 F-statistic: 0.2144 on 1 and 8 DF, p-value: 0.6557 Estimate Std. Error t value Pr(>|t|) (Intercept) -0.75605 0.39534 -1.9124 0.09219 . PROCHLORAZYes -0.25886 0.55910 -0.4630 0.65570 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Spaetzle 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.24998 -0.57327 -0.05471 0.39468 1.57975 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -3.3443 0.4594 -7.280 4.03e-06 *** NOSEMAYes -0.2025 0.6496 -0.312 0.760 PROCHLORAZYes 0.6490 0.6163 1.053 0.310 NOSEMAYes:PROCHLORAZYes 1.2514 0.8716 1.436 0.173 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9187 on 14 degrees of freedom Multiple R-squared: 0.4597, Adjusted R-squared: 0.3439 F-statistic: 3.97 on 3 and 14 DF, p-value: 0.03063 Estimate Std. Error t value Pr(>|t|) (Intercept) -3.34426 0.45936 -7.2802 4.031e-06 *** NOSEMAYes -0.20252 0.64964 -0.3117 0.7598 PROCHLORAZYes 0.64897 0.61630 1.0530 0.3102 NOSEMAYes:PROCHLORAZYes 1.25136 0.87158 1.4357 0.1730 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Spaetzle 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -4.2642 -0.6047 0.2315 1.0220 1.9786 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -9.1627 0.7464 -12.275 6.99e-09 *** NOSEMAYes 1.0324 1.1197 0.922 0.372 PROCHLORAZYes 1.2695 1.1197 1.134 0.276 NOSEMAYes:PROCHLORAZYes -0.8235 1.5834 -0.520 0.611 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.669 on 14 degrees of freedom Multiple R-squared: 0.1396, Adjusted R-squared: -0.04472 F-statistic: 0.7574 on 3 and 14 DF, p-value: 0.5363 Estimate Std. Error t value Pr(>|t|) (Intercept) -9.16273 0.74644 -12.2753 6.987e-09 *** NOSEMAYes 1.03239 1.11966 0.9221 0.3721 PROCHLORAZYes 1.26953 1.11966 1.1339 0.2759 NOSEMAYes:PROCHLORAZYes -0.82350 1.58343 -0.5201 0.6111 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Spaetzle 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.6915 -0.7164 0.1131 0.5950 1.7148 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -9.1072 0.4842 -18.808 7.67e-12 *** NOSEMAYes 0.6600 0.6496 1.016 0.326 PROCHLORAZYes 0.4425 0.6496 0.681 0.506 NOSEMAYes:PROCHLORAZYes -0.9269 0.8928 -1.038 0.316 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9684 on 15 degrees of freedom Multiple R-squared: 0.07629, Adjusted R-squared: -0.1085 F-statistic: 0.4129 on 3 and 15 DF, p-value: 0.7461 Estimate Std. Error t value Pr(>|t|) (Intercept) -9.10724 0.48421 -18.8085 7.669e-12 *** NOSEMAYes 0.65999 0.64964 1.0159 0.3258 PROCHLORAZYes 0.44246 0.64964 0.6811 0.5062 NOSEMAYes:PROCHLORAZYes -0.92689 0.89284 -1.0381 0.3157 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Toll 0" Call: lm(formula = CT ~ PROCHLORAZ, data = data1) Residuals: Min 1Q Median 3Q Max -1.1322 -0.5591 -0.1466 0.6723 1.1531 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.9050 0.3807 -12.885 1.24e-06 *** PROCHLORAZYes 1.9104 0.5384 3.549 0.00752 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8512 on 8 degrees of freedom Multiple R-squared: 0.6115, Adjusted R-squared: 0.563 F-statistic: 12.59 on 1 and 8 DF, p-value: 0.007524 Estimate Std. Error t value Pr(>|t|) (Intercept) -4.90502 0.38068 -12.8850 1.244e-06 *** PROCHLORAZYes 1.91045 0.53836 3.5487 0.007524 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Toll 6" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -0.82043 -0.25308 -0.05728 0.28781 0.91290 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.9674 0.2193 -8.972 1.21e-07 *** NOSEMAYes 0.3887 0.3101 1.253 0.228063 PROCHLORAZYes 0.5543 0.3101 1.787 0.092833 . NOSEMAYes:PROCHLORAZYes -1.9743 0.4385 -4.502 0.000362 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.4903 on 16 degrees of freedom Multiple R-squared: 0.664, Adjusted R-squared: 0.6009 F-statistic: 10.54 on 3 and 16 DF, p-value: 0.0004545 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.96740 0.21927 -8.9724 1.214e-07 *** NOSEMAYes 0.38868 0.31010 1.2534 0.2280631 PROCHLORAZYes 0.55426 0.31010 1.7874 0.0928328 . NOSEMAYes:PROCHLORAZYes -1.97425 0.43854 -4.5018 0.0003622 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Toll 9" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -1.02992 -0.22067 0.03542 0.30911 1.14379 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.0701 0.2688 -3.981 0.00107 ** NOSEMAYes -0.4864 0.3802 -1.279 0.21898 PROCHLORAZYes 0.8226 0.3802 2.164 0.04596 * NOSEMAYes:PROCHLORAZYes -0.4011 0.5376 -0.746 0.46641 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.6011 on 16 degrees of freedom Multiple R-squared: 0.4374, Adjusted R-squared: 0.332 F-statistic: 4.147 on 3 and 16 DF, p-value: 0.02364 Estimate Std. Error t value Pr(>|t|) (Intercept) -1.07006 0.26882 -3.9806 0.001075 ** NOSEMAYes -0.48640 0.38016 -1.2795 0.218980 PROCHLORAZYes 0.82258 0.38016 2.1637 0.045959 * NOSEMAYes:PROCHLORAZYes -0.40115 0.53763 -0.7461 0.466408 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [1] "Toll 15" Call: lm(formula = CT ~ NOSEMA + PROCHLORAZ + PROCHLORAZ:NOSEMA, data = data1) Residuals: Min 1Q Median 3Q Max -0.8968 -0.4182 0.1236 0.3433 0.8275 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.4377 0.2419 -10.076 2.47e-08 *** NOSEMAYes 0.9518 0.3421 2.782 0.0133 * PROCHLORAZYes 0.7540 0.3421 2.204 0.0425 * NOSEMAYes:PROCHLORAZYes -1.0387 0.4839 -2.147 0.0475 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.541 on 16 degrees of freedom Multiple R-squared: 0.3534, Adjusted R-squared: 0.2321 F-statistic: 2.915 on 3 and 16 DF, p-value: 0.06636 Estimate Std. Error t value Pr(>|t|) (Intercept) -2.43768 0.24193 -10.0759 2.472e-08 *** NOSEMAYes 0.95183 0.34214 2.7820 0.01333 * PROCHLORAZYes 0.75397 0.34214 2.2037 0.04254 * NOSEMAYes:PROCHLORAZYes -1.03873 0.48386 -2.1467 0.04749 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1