STATISTICAL ANALYSES FOR: VINCLOSOLIN: A TWO-GENERATION STUDY WITH THE JAPANESE QUAIL, PERFORMED AT SMITHERS VISCIENT LLC

WILDLIFE INTERNATIONAL PROJECT NO.: 185-133-2

In Support of EPA Task Order 35, Japanese Quail Two-Generation Test Inte rlaboratory Evaluation for EPA Contract EP-W-06-026

AUTHOR: Timothy A. Springer

Submitted to:

U.S. Environmental Protection Agency Office of Pesticide Programs (7507C) 401 M Street S.W. Washington, D.C. 20406

8598 Commerce Drive Easton, Maryland 21601 USA 1 (410) 822-8600

Page 1 of 52Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

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TABLE OF CONTENTS

Title Page .................................................................................................................... ................... Page 1 Good Laboratory Practice Comp liance Statement ........................................................................ Page 2 Quality Assurance Statement ................................................................................................... ..... Page 3 Report Approval ............................................................................................................... ............. Page 4

Table of Contents ............................................................................................................. ............. Page 5

Introduction .................................................................................................................. ................. Page 6 Experimental Design ........................................................................................................... .......... Page 6

Materials and Methods ......................................................................................................... ......... Page 7

Data Sets ..................................................................................................................... ............ Page 7 Preparation of Spreadsheets for Use as Data Sources ............................................................. Page 7 Methods of Statistical Analysis ............................................................................................... Page 9

Results and Discussion ........................................................................................................ ........ Page 10

References .................................................................................................................... ............... Page 13

TABLES

Table 1. List of Source Spreadsheets ....................................................................................... Pa ge 14 Table 2. Variables, Source Spreadsheets, Descriptions, Transformations and Test Directedness ................................................................................................ Page 15

Table 3. Results of St atistical Analyses ................................................................................... Pa ge 20 Table 4. Summary of Sta tistical Analy ses ............................................................................... Page 4 5 Table 5. Bejamini-Hochberg Procedure App lied to Results of The Jonkheere-Terpstra

Trend Test ................................................................................................................. Page 51 Table 6. Bejamini-Hochberg Procedure Applie d to Results of Dunnett's Test ....................... Page 52Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

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INTRODUCTION The statistical analyses presented in this repor t were conducted to assess the results of a two generation study with Japanese quail, performed by Smithers Viscient LLC. This study was performed in support of EPA Task Order 35, Jap anese Quail Two-Generation Test Interlaboratory Evaluation for EPA Contract EP-W-06-026. The statistical analyses were performed by Wildlife International, a division of EAG, Inc. at facilities in Easton, Maryland. These statistical results are to be incorporated into the study report generated by Wildlife International and are intended to serve the laboratory staff as an aid in th e interpretation of results. The records generated by Wildlife International and this report were filed under Project Number 

### 185-133-2 in the archives located on

the Wildlife International site.

EXPERIMENTAL DESIGN Four treatment groups, each initially containi ng 18 pairs of Japanese quail, were fed diets containing the test substance at 64, 160, 400 & 1000 ppm a.i. through two generations (F 0 and F 1 ). A control group, also with 18 pairs initially, was maintained concurrently. A third generation (F 2 ) was reared without exposure to the test substance through their diet.

The F 0 Japanese quail were genetically sexed after hatching and were six weeks old at test

initiation. The F 0 generation was exposed to treated diets from week six of age through an egg laying cycle of seven weeks. Selected embryos (Hatch E, 5 th group of eggs set from F 0 hens) at embryo development day15 (ED15) were sampled for possible an alysis of endocrine and histological impacts.

Hatched F 1 chicks (Hatch F & G, 6 th & 7 th group of eggs set from F 0 birds) were exposed to treated diets from hatch through rearing to 14 days of age. At one week of age, surviving chicks were genetically sexed. Selected F 1 offspring (Hatch F & G) maintained on treated diets for grow-out to four weeks of age. With exposure continui ng, at three to four weeks of age the F 1 birds were paired and monitored through a seven-week reproduction cycle. Selected F 1 embryos (Hatch E) at embryo development day15 (ED15) were sampled for possible analysis of endocrine and histological impact. Surviving F 2 chicks were genetically sexed at one week of age and reared to 14-days of age on

untreated diet. Tissues of selected F 2 14-day old survivors (Hatch F & G) were sampled for possible analysis of endocrine and histological impact. Additional F 2 birds were selected and reared to sexual maturation for mating behavior observations. Both F 1 and F 2 generation birds were observed to assess mating behavior, but for the F 2 generation, only birds exposed to 1000 ppm food and controlSmithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

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birds were maintained and monitored.

For each phase, effects of exposure to the test substance on bird health, body weight and feed consumption were evaluated. The effects on the number of eggs laid, viability of the embryos, normal development of embryos, percent hatchab ility, offspring survival and body weight, and egg

shell thickness for both the F 0 and F 1 generations were evaluated. Selected tissue samples were collected from embryos, 14-day old chicks and adu lts for evaluation of biochemical endpoints such as serum steroid concentration. In addition, observations were c onducted on subsets of F 1 and F 2 birds to evaluate possible effects of exposure on mating behavior

MATERIALS AND METHODS

Data Sets All study data that were to be subjected to sta tistical analysis were initially entered into Excel workbooks. Eight standardized workbooks were s upplied to Smithers Viscient LLC, and data entry for all variables except for biochemical measur ements was performed by personnel there. These workbooks were organized to allow entry of da ta from multiple generations for most response variables, and generation, treatment group and replicate labels were associated with each observation.

Biochemical results were received in separate spreadsheets from the University of Maryland, where these analyses were performed. The data in these spreadsheets were not organized so as to allow direct reading by a statistical analysis progr am, so these data were reorganized and re-entered by Wildlife International personnel into spreadsheets organized similarly to those used for the other

measurements.

The nine workbooks containing the data from th e study performed at Wildlife International contained a total of 36 spreadsheets, which in turn co ntained entry fields for a total of 106 variables.

Preparation of Spreadsheets for Use as Data Sources Excel workbooks were originally given names that began with numeric characters. After receipt of the workbooks from the testing lab, a leading X character was added to each workbook name, as it was found that workbook names that began with a num eric character were not properly handled by programs. Furthermore, initial attempts to read the data from the Excel workbooks for subsequent statistical analysis revealed that the workbooks needed to be split into separate spreadsheets andSmithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

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saved in CSV (comma separated values) format to permit dependable reading by SAS. An Excel macro was written to perform this task. The Excel macro was then inserted into each workbook, and executed. This operation resulted in the creation of 36 separate spreadsheets. The names of the spreadsheets created by the Excel macro consisted of the first two characters of the source work book name (i.e. X1, X2, ... ,X9), concatenated with a tw o letter code indicating the testing lab (SV) and the name of the tab from the work book (e.g. X 3_SV_Repro.csv). To avoid additional complications in accessing files, underscore characters were substituted for all amper sands, and blanks in spreadsheet names, and ‘N’ was substituted for th e ‘#’ symbol. Examination of variable names revealed that the variable name ‘Change’ was rep eated in several spreadsh eets. The names for these variables were made unique by appending two letter codes to each as in the following table.

New Name Change Observation ChangeAt Attempts ChangeNG Neck Grabs ChangeMt Mounts ChangeCC Cloacal Contacts ChangeCF Crow Fluff

When the spreadsheets for behavioral observations were examined, it was found that a missing value was recorded when animals were monitored, a nd the behavior being monitored did not occur. In this situation a frequency of zer o should have been recorded, and all such missing values were changed to zeros. Mounting behavior and neck gr abs were recorded as time-to-event. For these two variables, the length of the monitoring period (300 seconds) was entered if the event was not observed during the monitoring period. In the F2 generation, behaviors were monitored in only the control and 1000 PPM treatment groups. When Dunnett’s test is used to compare a single treatment group to the control, the test is equivalent to Student’s t-t est for comparison of two means, and the JonkheereTerpstra trend test is equivalent to the non-pa rametric Mann-Whitney test for comparison of the median of two groups.Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

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The spreadsheets containing the biochemical da ta contained numerous entries of ‘N/D’, signifying that concentrations of the analyte were be low the limit of detection, and some values below the limit of quantitation for the sample were reco rded. A value of one-half the limit of quantitation was manually substituted for each of these entries. The limit of quantitation varied from measurement to measurement, and could not be treated as a cons tant for a given type of measurement within a spreadsheet. A few biochemical measurements we re recorded as being greater than the highest standard (>High Std.). These entries were retained in the spreadsheets, and the analysis software designed to take their presence into account during analysis as described below.

A complete list of all workbooks, spreadsheets (C SV format) and the variables contained therein is given in Table 1. The spreadsheets in CSV form at should be considered the definitive electronic data for the study. The original workbooks should not be used as the basis for further analysis. A program was written to read each spreadsheet and conv ert it to a SAS data file. The variables created in the SAS data set are the spreadsheet column names (same as listed in table 1).

Methods of Statistical Analysis Given the very large number of analyses to be pe rformed in the analysis of the results from this study, an effort was made to keep statistical an alyses simple, and so far as possible to use familiar methods. Results from each generation were treated independently, and data for each response in each generation were treated as if they represented separat e experiments. It is convenient to think of the data for one variable in one generation as occupyin g a cell in a grid, with rows being defined by generations and columns being defined by response vari ables, and to refer to the analysis of data in a variable-by-generation grid cell. Thus, the data in each variable-by-generation cell consists of the test organism responses in each treatment group and the test substance concentrations in each of the

treatment groups.

Two types of analyses were performed on the da ta found in each variable-by-generation cell. First the responses of organisms exposed at each test concentration were compared to the responses of control animals using Dunnett’s multiple comparis on procedure. Then the responses from the cell were subjected to a Jonkheere-Terpstra (JT) trend test to provide an indication of whether responses

showed a concentration-related trend. When effect s in one direction (i.e. increase or decrease) were clearly deleterious, and not deleterious in the othe r direction, a one-sided Dunnett’s test was used.Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

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Otherwise, a two-sided test was performed. Whethe r a one-sided or two-sided test was performed, and the direction of the test if one-sided, is indicat ed in table 2. In either case, the cell-wise type I

error rate was controlled at α = 0.05. The Jonkheere-Terpstra trend test followed the same directions as the Dunnett’s test, and was also performed at α = 0.05.

Given the very large number of comparisons to be performed, and the apparent weak or absent treatment response in most variables, it was decided to avoid the complexity of testing assumptions of normality and homogeneity of variance prior to analysis, transforming, and retesting after transformation. All responses that were recorded in the form of proportions (and that could only take on values between 0 and 1) were subjected to an arc- sine square-root transformation prior to analysis.

Some biochemical measurements were rank-tran sformed before analysis. This was done for consistency with other labs involve d in the ring test where some c oncentrations were recorded as being above the highest standard , and no quantitative result was av ailable. Responses other than proportions or the aforementioned biochemical measu rements were not subjected to transformation. The direction of statistical tests performed on results in each cell, whether the tests were one sided, or two sided, and any transformation used is listed in Table 2 on a variable by variable basis.

All statistical analyses were performed using SA S 8.1(1). Dunnett’s test was performed using the PROC GLM module, and the Jonkheere-Terpstra trend test was performed use the JT option of PROC FREQ.

RESULTS AND DISCUSSION Twenty-one variables gave Dunnett’s test p-values of less than 0.05 (Table 3), and the trend tests for 9 variables suggested that a concentration res ponse trend was present (i.e. p < 0.05). The array of results presented in Table 3 is so large that it diffi cult to visualize response patterns, so results were further condensed, and a table was created to indicate variables that had at least one p value less than 0.05 according to Dunnett’s test or a p value for trend of less than 0.05 according to the JonkheereTerpstra trend test. This summary is presented in Table 4. When both the trend test and Dunnett’s tests have low p-values, there is evidence for bot h a relatively large effect and a concentration response trend. Observing low probabilities for bot h tests is stronger evidence for a meaningful response than detecting a large change without concen tration response, or slight concentration related trend where response is small. Five variables, A dultFC9 (week nine adult feed consumption) in the F0 generation, CrowFluff1 in the F1 generation, ChangeCF in the F1 generation, AmT (adult maleSmithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

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testosterone) for F1 generation birds, and ThyA dultMale (adult male thyroid weight) for the F1 generation had at least one Dunnett’s p-value of le ss than 0.05, and also showed a concentration response trend with p < 0.05.

The reader may note the absence of the use of the term “statistically significant” in this

discussion. This omission is intentional. Traditiona lly, statistical tests have been selected so as to control the type I error rate of single statistical comparisons of a control and treatment group at some fixed value, often 0.05. In other words, it is ac cepted that there is a 1 in 20 chance that the null hypothesis being tested will be rejected when it should not be. If there are four treatment groups that are to be compared to a common control group in a pair-wise fashion, and the null hypothesis being tested is that the two treatment groups are equal, and they truly are equal, this means that the probability of a type I error in the experiment as a whole is not 0.05, as there is a 1 in 20 chance of error for each pair-wise comparison. More exactly, the experiment-wise type I error rate (also called family-wise error rate, FWER) that can be expect ed for this case is approximately 1 – (1 – 0.05) 4 = 0.185. Dunnett’s test (as performed in this anal ysis) controls the FWER at 0.05 by adjusting the pvalues of each of the pair-wise comparisons. In th e analysis of multi-endpoint ecotoxicology studies where Dunnett’s test is used, it is common to ignore the fact that multiple va riables are being tested multiple times, and to accept that a p-value of less than 0.05 from any of the Dunnett’s tests means that this finding is statistically significant at the 0.05 level. This conservatism serves well as long as the number of variables being studies is relatively sm all, as the type II error rate (failing to reject a true null hypothesis) is kept low, and power to detect a false negative hypothesis is kept high. However, when the number of statistical comparisons being made becomes very large, the type I error rate becomes so large that the statistical test no longer does a good job of discriminating differences that are likely to be meaningful from those which ar e due to random variation, and the interpretation of power of the statistical tests (probability of re jecting a true null hypothesis) also becomes unclear. The need to perform large numbers of comparisons w ithin an experiment is also encountered in the evaluation of the results of microarray assays in genomic and proteomic studies, where hundreds or thousands of results are being evaluated. Benjamin i and Hochberg (2) developed an approach that is widely used to evaluate statistical results from such studies, and this methodology should be considered as an aid in interpreting the results presented in this report.Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

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Benjamini and Hochberg realized that in the anal ysis of any study where a large number of tests of hypotheses are performed, many of the outcomes where p < 0.05 represented type I errors. They gave the name ‘false discovery’ to such outcomes where the null hypothesis was rejected when it was really true. Then they developed a procedure to limit the false discovery rate (FDR) to a selected value, Q. In other words, the Benjamini-Hochberg approach lets us select a rate, say 10 percent, and apply their methods to our statistical results so th at we know that 10 percent of the results we accept as meaningful are expected to be false discoveries. The value of Q can be set to any value that is judged consistent with the objectives of the evaluati on. Here is a step-by-step description of the procedure:

(1) Put the individual p-values in order, from smallest to largest. (2) Rank the p-values so that the smallest p-value has rank of i = 1. (3) Compare each individual p-value to (i/m)Q, where m is the total number of tests and Q is the chosen false discovery rate. (4) The largest p-value that has p < (i/m)Q is cons idered significant, and all smaller p-values are also considered significant.

Consider the results in Tables 3 and 4. At this point, in our evaluation of the results, we have no idea how many of the p-values that are less than 0.05 are likely to represent false discoveries. We know only that it there is really no difference betw een groups, the probability of having at least one false discovery is high. The Jonkheere -Terpstra tr end test was performed 182 times in the analysis of this study, so the probability of at least one fa lse discovery regarding trend is 1 – (1 – 0.05) 182 , which approaches a value of one very closely even if th ere was no effect whatsoever. We must accept the near certainty that some of the low p-values for th e trend tests represent false discoveries, as there is no way to say for certain which discoveries (p < 0.05) are true and which are false. Let us suppose that it is acceptable for 20 percent of the discove ries to be false, that is we set Q = 0.2.

If the Benjamini-Hochberg approach is applied to th e trend test data for this study (Table 5), and we decide that it is acceptable for the false discovery ra te to be 0.2 (i.e. Q = 0.2), then only one of the trend test p-values (p = 0.0008) are considered significant. Applying the Benjamini-Hochberg approach to the results of the D unnett’s test (Table 6) requires that we assume that the effective number of comparisons equals th e number of Dunnett’s tests performed, as each of the four p-valuesSmithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

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generated by the Dunnett’s test have already been adjusted to control the fa mily wise error rate at 0.05 for four comparisons to the control. If we ag ain select the acceptable false discovery rate to be 0.2, then we find that only two of the p-values from Dunnett’s test (with p-values less than or equal to 0.0008) are considered significant. Although setting the acceptable false discovery rate at 0.2 seems reasonable, the reader may feel that some other value is more appropriate. The reader can select other Q values and use Tables 5 and 6 to evaluate how setting the acceptable false rate higher might allow some of the p-values to be interpreted as being statistically significant.

Results from Dunnett’s tests results have been prov ided to flag treatment differences that are large relative to within-group variability, and Jonkheer e-Terpstra trend tests have been performed to flag apparent concentration-related trends in res ponses. These results can be used in combination with the Benjamini-Hochberg approach to highlig ht responses that are likely to be meaningful. However, interpretation of results of the large sta tistical comparisons performed in this study requires careful attention to logical and biological plausi bility and it is important to bring all available information to bear on decisions regarding meaningfulness of possible responses.

REFERENCES

1. SAS Institute, Inc . 2002. SAS OnlineDoc, Version 8, Cary, NC

2. Benjamini, Y., and Y. Hochberg. 1995. Controlling the False Di scovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. Series B (Methodological) 57:289-300Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

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Table 1

List of Source Spreadsheets Spreadsheet

Number Spreadsheet Name 1 X1_SV_abwF.csv 2 X1_SV_abwm.csv 3 X1_SV_OffBW.csv 4 X2_SV_AdultFC.csv 5 X3_SV_Repro.csv 6 X4_SV_EggShell_Wt.csv 7 X5_SV_AgeFoamEgg.csv 8 X5_SV_CloacaFemale.csv 9 X5_SV_CloacaMale.csv 10 X6_SV_CloacalCon.csv 11 X6_SV_CrowFluff.csv 12 X6_SV_Mount.csv 13 X6_SV_NAttempts.csv 14 X6_SV_Neck_Grab.csv 15 X7_SV_14DayThy.csv 16 X7_SV_AdultThy.csv 17 X7_SV_ED15Thy.csv 18 X8_SV_SexRatio.csv 19 X9_SV_14DayFemaleE2.csv 20 X9_SV_14DayFemaleT.csv 21 X9_SV_14DayFemaleT3.csv 22 X9_SV_14DayFemaleT4.csv 23 X9_SV_14DayMaleE2.csv 24 X9_SV_14DayMaleT.csv 25 X9_SV_14DayMaleT3.csv 26 X9_SV_14DayMaleT4.csv 27 X9_SV_AdultFemaleE2.csv 28 X9_SV_AdultFemaleT.csv 29 X9_SV_AdultFemaleT3.csv 30 X9_SV_AdultFemaleT4.csv 31 X9_SV_AdultMaleE2.csv 32 X9_SV_AdultMaleT.csv 33 X9_SV_AdultMaleT3.csv 34 X9_SV_AdultMaleT4.csv 35 X9_SV_YolksE2.csv 36 X9_SV_YolksT.csvSmithers-Viscient LLC Study Number: 13888.4106Wildlife International Project Number: 185-133-2- 15 -Table 2Variables, Source Spreadsheets, Descriptions, Transformations and Test DirectednessVariableNumberVariableNameTrans. DirectionSpreadsheetNumberDescription of Variable1 bwF0 N Down 1 Adult body weight - females (g) Day 02 bwF56 N Down 1 Adult body weight - females (g) Final3 bwm0 N Down 2 Adult body weight - males (g) Day 04 bwm56 N Down 2 Adult body weight - males (g) Final5 offbw0 N Down 3 Mean offspring (F1 & F2) body weight by pen (g) Day 06 offbw14 N Down 3 Mean offspring (F1 & F2) body weight by pen (g) Day 147 AdultFC1 N Down 4 Adult feed consumption (g/bird/day) - Week 18 AdultFC2 N Down 4 Adult feed consumption (g/bird/day) - Week 29 AdultFC3 N Down 4 Adult feed consumption (g/bird/day) - Week 310 AdultFC4 N Down 4 Adult feed consumption (g/bird/day) - Week 411 AdultFC5 N Down 4 Adult feed consumption (g/bird/day) - Week 512 AdultFC6 N Down 4 Adult feed consumption (g/bird/day) - Week 613 AdultFC7 N Down 4 Adult feed consumption (g/bird/day) - Week 714 AdultFC8 N Down 4 Adult feed consumption (g/bird/day) - Week 815 AdultFC9 N Down 4 Adult feed consumption (g/bird/day) - Week 916 Laid N Down 5 Eggs Laid17 Crack N Up 5 Eggs Crack18 Abnormal N Down 5 Eggs Abnormal19 FGSet N Down 5 FG Eggs Set20 EFGSet N Down 5 EFG Eggs Set21 FGFert N Down 5 FG Eggs Fertile22 EFGFert N Down 5 EFG Eggs FertileSmithers-Viscient LLC Study Number: 13888.4106Wildlife International Project Number: 185-133-2- 16 -Table 2 (Continued)Variables, Source Spreadsheets, Descriptions, Transformations and Test DirectednessVariableNumberVariableNameTrans. DirectionSpreadsheetNumberDescription of Variable23 FGViable N Down 5 FG Eggs Viable24 EFGVia N Down 5 EFG Eggs Viable25 FG2Wk N Down 5 FG 2Wk Via26 EFG2Wk N Down 5 EFG 2Wk Via27 FGHatch N Down 5 FG Hatch28 FG14Day N Down 5 FG 14-Day Survival29 Laid_Hen_Day N Down 5 Laid / Hen / Day (49)30 Crack_Laid A Up 5 Crack / Laid31 Abnorm_Laid A Up 5 Abnormal / Laid32 FGFert_Set A Down 5 F&G Fert / F&G Set33 EFGFert_Set A Down 5 EF&G Fert / EF&G Set34 FGVia_Set A Down 5 F&G Viable / F&G Set35 EFGVia_Set A Down 5 EF&G Viable / EF&G Set36 FG2Wk_Via A Down 5 F&G 2-Wk / F&G Viable37 EFG2Wk_Via A Down 5 EF&G 2-Wk / EF&G Viable38 FGHatch_2Wk A Down 5 F&G Hatch / F&G 2-Wk39 FG14Day_Hatch A Down 5 F&G 14-Day / F&G Hatch40 FGHatch_Set A Down 5 F&G Hatch / F&G Set41 FGHatch_Fert A Down 5 F&G Hatch / F&G Fert42 FG14Day_Set A Down 5 F&G 14-Day / F&G Set43 FGHatch_H_D A Down 5 F&G Hatch / Hen / Day (14)44 FG14Day_H_D A Down 5 F&G 14-Day / Hen / Day (14)Smithers-Viscient LLC Study Number: 13888.4106Wildlife International Project Number: 185-133-2- 17 -Table 2 (Continued)Variables, Source Spreadsheets, Descriptions, Transformations and Test DirectednessVariableNumberVariableNameTrans. DirectionSpreadsheetNumberDescription of Variable45EggShellThick N Down 6 Pen mean Egg Shell Thickness (mm)46EggWtAlb N Down 6 Pen mean Egg Content Weight - Albumin (g)47EggWtYolk N Down 6 Pen mean Egg Content Weight - Yolk (g)48EggWtComb N Down 6 Pen mean Egg Contents Weight - Combined (g)49AgeFoam N Either 7 Age in days at first foam - males50AgeEgg N Either 7 Age in days at first egg - females51CloacaF4 N Either 8 Cloacal area (mm2) at 4 weeks - Females52CloacaF5 N Either 8 Cloacal area (mm2) at 5 weeks - Females53CloacaF6 N Either 8 Cloacal area (mm2) at 6 weeks - Females54CloacaF7 N Either 8 Cloacal area (mm2) at 7 weeks - Females55CloacaF8 N Either 8 Cloacal area (mm2) at 8 weeks - Females56CloacaF9 N Either 8 Cloacal area (mm2) at9 weeks - Females57CloacaM4 N Either 9 Cloacal area (mm2) at 4 weeks - Males58CloacaM5 N Either 9 Cloacal area (mm2) at 5 weeks - Males59CloacaM6 N Either 9 Cloacal area (mm2) at 6 weeks - Males60CloacaM7 N Either 9 Cloacal area (mm2) at 7 weeks - Males61CloacaM8 N Either 9 Cloacal area (mm2) at 8 weeks - Males62CloacaM9 N Either 9 Cloacal area (mm2) at 9 weeks - Males63CloCon1 N Down 10 Number of cloacal contacts (count) - Day 164CloCon2 N Down 10 Number of cloacal contacts (count) - Day 265CloCon3 N Down 10 Number of cloacal contacts (count) - Day 366ChangeCC N Either 10 Change in number of cloacal contacts (count)Smithers-Viscient LLC Study Number: 13888.4106Wildlife International Project Number: 185-133-2- 18 -Table 2 (Continued)Variables, Source Spreadsheets, Descriptions, Transformations and Test DirectednessVariableNumberVariableNameTrans. DirectionSpreadsheetNumberDescription of Variable67CrowFluff1 N Down 11 Number of crows (cock) or fluffs (hen) (count) - Day 168CrowFluff2 N Down 11 Number of crows (cock) or fluffs (hen) (count) - Day 269CrowFluff3 N Down 11 Number of crows (cock) or fluffs (hen) (count) - Day 270ChangeCF N Either 11 Change in number of crows (cock) or fluffs (hen) (count)71Mount1 N Up 12 Length of time to first mount (sec) - Day 172Mount2 N Up 12 Length of time to first mount (sec) - Day 273Mount3 N Up 12 Length of time to first mount (sec) - Day 374ChangeMt N Either 12 Change in length of time to first mount (sec)75Attempts1 N Down 13 Numberof mount attempts (count) - Day 176Attempts2 N Down 13 Numberof mount attempts (count) - Day 277Attempts3 N Down 13 Numberof mount attempts (count) - Day 378ChangeAt N Either 13 Changein number of mount attempts (count)79NeckGrab1 N Up 14 Length of time to first neck grab (sec) - Day 180NeckGrab2 N Up 14 Length of time to first neck grab (sec) - Day 281NeckGrab3 N Up 14 Length of time to first neck grab (sec) - Day 382ChangeNG N Either 14 Change in length of time to first neck grab (sec)83ThyF214DayM N Either 15 F2 14-Day Old left thyroid weight (mg) - Males84ThyF214DayF N Either 15 F2 14-Day Old left thyroid weight (mg) - Females85ThyAdultMale N Either 16 Adult left thyroid weight (mg) - Males86ThyAdultFemal N Either 16 Adult left thyroid weight (mg) - Females87ThyWtED15 N Either 17 15 Day Embryo (ED15) Thyroid Weights (mg)Smithers-Viscient LLC Study Number: 13888.4106Wildlife International Project Number: 185-133-2- 19 -Table 2 (Continued)Variables, Source Spreadsheets, Descriptions, Transformations and Test DirectednessVariableNumberVariableNameTrans. DirectionSpreadsheetNumberDescription of Variable88SexRatio N Either 18 Ratio of number of males to total number of offspring89Day14fE2 N Either 19 Plasma Sex Hormone Estradiol - 14-Day Old Females (pg/mL)90Day14fT N Either 20 Plasma Sex Hormone Testosterone -14-Day Old Females (pg/mL)91Day14fT3 N Either 21 Plasma Thyroid Hormone T3 -14-Day Old Females (ng/mL)92Day14fT4 N Either 22 Plasma Thyroid Hormone T4 -14-Day Old Females (ng/mL)93Day14mE2 N Either 23 Plasma SexHormone Estradiol - 14-Day Old Males (pg/mL)94Day14mT R Either 24 Plasma Sex Hormone Testosterone -14-Day Old Males (pg/mL)95Day14mT3 N Either 25 Plasma Thyroid Hormone T3 -14-Day Old Males (ng/mL)96Day14mT4 N Either 26 Plasma Thyroid Hormone T4 -14-Day Old Males (ng/mL)97AfE2 N Either 27 Plasma Sex Hormone Estradiol - Adult Females (pg/mL)98AfT R Either 28 Plasma Sex Hormone Testosterone- Adult Females (pg/mL)99AfT3 R Either 29 Plasma Thyroid Hormone T3 -Adult Females (ng/mL)100AfT4 N Either 30 Plasma Thyroid Hormone T4 -Adult Females (ng/mL)101AmE2 N Either 31 Plasma Sex Hormone Estradiol - Adult Males (pg/mL)102AmT R Either 32 Plasma Sex Hormone Testosterone- Adult Males (pg/mL)103AmT3 N Either 33 Plasma Thyroid Hormone T3 - Adult Males (ng/mL)104AmT4 N Either 34 Plasma Thyroid Hormone T4 -Adult Males (ng/mL)105YolkE2 N Either 35 Egg Yolk Estradiol (pg/g)106YolkT R Either 36 Egg Yolk Testosterone (pg/g)Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 20 - Table 3 Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p a JT b p 1 bwF0 F0 0 247.56 4.69 _ . 2 bwF0 F0 64 243.66 4.69 0.5621 . 3 bwF0 F0 160 239.29 4.69 0.2743 . 4 bwF0 F0 400 248.83 4.69 0.8569 . 5 bwF0 F0 1000 247.48 4.69 0.7961 0.6922 6 bwF0 F1 0 168.71 3.16 _ . 7 bwF0 F1 64 168.72 3.16 0.8008 . 8 bwF0 F1 160 171.45 3.16 0.9409 . 9 bwF0 F1 400 173.23 3.16 0.9787 . 10 bwF0 F1 1000 172.96 3.16 0.9749 0.9192 11 bwF56 F0 0 276.92 5.89 _ . 12 bwF56 F0 64 266.18 5.72 0.2492 . 13 bwF56 F0 160 270.42 5.72 0.4638 . 14 bwF56 F0 400 274.39 5.72 0.6798 . 15 bwF56 F0 1000 277.32 5.72 0.8109 0.7333 16 bwF56 F1 0 266.48 6.18 _ . 17 bwF56 F1 64 274.18 6.18 0.9688 . 18 bwF56 F1 160 280.13 6.01 0.9963 . 19 bwF56 F1 400 279.87 6.01 0.9958 . 20 bwF56 F1 1000 280.99 6.18 0.9971 0.9674 21 bwm0 F0 0 202.74 4.68 _ . 22 bwm0 F0 64 216.36 4.68 0.9994 . 23 bwm0 F0 160 207.54 4.68 0.9547 . 24 bwm0 F0 400 213.74 4.68 0.9973 . 25 bwm0 F0 1000 210.30 4.68 0.9854 0.8283 26 bwm0 F1 0 155.48 2.65 _ . 27 bwm0 F1 64 157.77 2.65 0.9405 . 28 bwm0 F1 160 159.93 2.65 0.9872 . 29 bwm0 F1 400 161.00 2.65 0.9948 . 30 bwm0 F1 1000 155.35 2.65 0.7885 0.6589 31 bwm56 F0 0 221.48 4.54 _ . 32 bwm56 F0 64 230.84 4.41 0.9945 . 33 bwm56 F0 160 229.67 4.41 0.9901 . 34 bwm56 F0 400 227.86 4.41 0.9771 . 35 bwm56 F0 1000 227.58 4.41 0.9743 0.7285

a Dunnett p = p-value for comparison to the negative control from Dunnett’s test. b JT p = p-value from the Jonkheere-Terpstra trend test.Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 21 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p

36 bwm56 F1 0 216.30 4.27 _ . 37 bwm56 F1 64 231.68 4.27 0.9999 . 38 bwm56 F1 160 225.56 4.53 0.9952 . 39 bwm56 F1 400 228.21 4.27 0.9992 . 40 bwm56 F1 1000 222.07 4.27 0.9757 0.5960 41 offbw0 F1 0 9.57 0.17 _ . 42 offbw0 F1 64 9.44 0.16 0.5833 . 43 offbw0 F1 160 9.58 0.17 0.8073 . 44 offbw0 F1 400 9.60 0.17 0.8397 . 45 offbw0 F1 1000 9.39 0.17 0.4810 0.5566 46 offbw0 F2 0 9.15 0.17 _ . 47 offbw0 F2 64 9.52 0.18 0.9957 . 48 offbw0 F2 160 9.01 0.18 0.5675 . 49 offbw0 F2 400 9.58 0.17 0.9982 . 50 offbw0 F2 1000 9.56 0.18 0.9976 0.9318 51 offbw14 F1 0 78.93 1.21 _ . 52 offbw14 F1 64 76.15 1.17 0.1474 . 53 offbw14 F1 160 82.07 1.25 0.9984 . 54 offbw14 F1 400 81.48 1.21 0.9952 . 55 offbw14 F1 1000 83.09 1.25 0.9998 0.9995 56 offbw14 F2 0 70.37 1.40 _ . 57 offbw14 F2 64 71.16 1.44 0.9062 . 58 offbw14 F2 160 72.45 1.44 0.9806 . 59 offbw14 F2 400 72.22 1.40 0.9743 . 60 offbw14 F2 1000 72.48 1.44 0.9816 0.8495 61 AdultFC1 F0 0 31.03 0.90 _ . 62 AdultFC1 F0 64 32.14 0.90 0.9686 . 63 AdultFC1 F0 160 32.66 0.90 0.9901 . 64 AdultFC1 F0 400 31.98 0.90 0.9562 . 65 AdultFC1 F0 1000 30.71 0.90 0.7060 0.4391 66 AdultFC1 F1 0 30.23 0.98 _ . 67 AdultFC1 F1 64 32.06 0.98 0.9916 . 68 AdultFC1 F1 160 33.46 0.98 0.9998 . 69 AdultFC1 F1 400 32.23 0.98 0.9944 . 70 AdultFC1 F1 1000 31.08 0.98 0.9409 0.8390Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 22 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p

71 AdultFC2 F0 0 28.28 1.00 _ . 72 AdultFC2 F0 64 30.80 1.00 0.9983 . 73 AdultFC2 F0 160 30.59 1.00 0.9971 . 74 AdultFC2 F0 400 30.13 1.00 0.9913 . 75 AdultFC2 F0 1000 29.16 1.00 0.9426 0.7855 76 AdultFC2 F1 0 36.56 1.06 _ . 77 AdultFC2 F1 64 38.71 1.06 0.9941 . 78 AdultFC2 F1 160 42.28 1.06 1.0000 . 79 AdultFC2 F1 400 39.26 1.06 0.9983 . 80 AdultFC2 F1 1000 37.38 1.06 0.9308 0.7906 81 AdultFC3 F0 0 27.56 0.92 _ . 82 AdultFC3 F0 64 28.26 0.92 0.9297 . 83 AdultFC3 F0 160 29.55 0.92 0.9958 . 84 AdultFC3 F0 400 28.91 0.92 0.9802 . 85 AdultFC3 F0 1000 27.24 0.92 0.7111 0.4029 86 AdultFC3 F1 0 31.50 0.88 _ . 87 AdultFC3 F1 64 33.51 0.88 0.9969 . 88 AdultFC3 F1 160 33.82 0.88 0.9987 . 89 AdultFC3 F1 400 34.45 0.88 0.9998 . 90 AdultFC3 F1 1000 33.15 0.88 0.9918 0.8364 91 AdultFC4 F0 0 28.52 0.78 _ . 92 AdultFC4 F0 64 30.74 0.76 0.9993 . 93 AdultFC4 F0 160 31.04 0.76 0.9998 . 94 AdultFC4 F0 400 31.98 0.76 1.0000 . 95 AdultFC4 F0 1000 29.86 0.76 0.9880 0.9912 96 AdultFC4 F1 0 25.84 0.95 _ . 97 AdultFC4 F1 64 26.48 0.95 0.9190 . 98 AdultFC4 F1 160 27.10 0.95 0.9735 . 99 AdultFC4 F1 400 29.24 0.95 0.9999 . 100 AdultFC4 F1 1000 28.44 0.95 0.9990 0.9946 101 AdultFC5 F0 0 31.42 0.69 _ . 102 AdultFC5 F0 64 31.41 0.67 0.7912 . 103 AdultFC5 F0 160 32.33 0.67 0.9726 . 104 AdultFC5 F0 400 32.92 0.67 0.9957 . 105 AdultFC5 F0 1000 31.61 0.67 0.8551 0.8847Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 23 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p

106 AdultFC5 F1 0 26.68 0.76 _ . 107 AdultFC5 F1 64 30.00 0.76 1.0000 . 108 AdultFC5 F1 160 27.82 0.76 0.9811 . 109 AdultFC5 F1 400 32.71 0.76 1.0000 . 110 AdultFC5 F1 1000 30.06 0.76 1.0000 0.9998 111 AdultFC6 F0 0 29.38 0.80 _ . 112 AdultFC6 F0 64 30.14 0.78 0.9467 . 113 AdultFC6 F0 160 29.84 0.78 0.9044 . 114 AdultFC6 F0 400 31.34 0.78 0.9978 . 115 AdultFC6 F0 1000 30.52 0.78 0.9779 0.8943 116 AdultFC6 F1 0 27.44 0.81 _ . 117 AdultFC6 F1 64 31.41 0.81 1.0000 . 118 AdultFC6 F1 160 29.37 0.81 0.9974 . 119 AdultFC6 F1 400 33.95 0.81 1.0000 . 120 AdultFC6 F1 1000 32.79 0.81 1.0000 1.0000 121 AdultFC7 F0 0 30.28 0.65 _ . 122 AdultFC7 F0 64 32.51 0.64 0.9999 . 123 AdultFC7 F0 160 32.07 0.64 0.9990 . 124 AdultFC7 F0 400 32.53 0.64 0.9999 . 125 AdultFC7 F0 1000 31.51 0.64 0.9916 0.6914 126 AdultFC7 F1 0 30.02 1.17 _ . 127 AdultFC7 F1 64 32.36 1.17 0.9937 . 128 AdultFC7 F1 160 32.43 1.17 0.9946 . 129 AdultFC7 F1 400 38.19 1.17 1.0000 . 130 AdultFC7 F1 1000 36.15 1.17 1.0000 1.0000 131 AdultFC8 F0 0 30.08 0.65 _ . 132 AdultFC8 F0 64 31.49 0.63 0.9960 . 133 AdultFC8 F0 160 32.40 0.63 0.9999 . 134 AdultFC8 F0 400 32.11 0.63 0.9997 . 135 AdultFC8 F0 1000 30.26 0.63 0.8563 0.6509 136 AdultFC8 F1 0 29.12 0.63 _ . 137 AdultFC8 F1 64 30.91 0.63 0.9993 . 138 AdultFC8 F1 160 30.43 0.63 0.9949 . 139 AdultFC8 F1 400 33.00 0.63 1.0000 . 140 AdultFC8 F1 1000 31.41 0.63 0.9999 0.9997Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 24 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 141 AdultFC9 F0 0 34.42 0.88 _ . 142 AdultFC9 F0 64 36.43 0.86 0.9967 . 143 AdultFC9 F0 160 38.47 0.86 1.0000 . 144 AdultFC9 F0 400 35.83 0.86 0.9848 . 145 AdultFC9 F0 1000 27.82 0.86 0.0000 0.0008 146 AdultFC9 F1 0 31.27 0.75 _ . 147 AdultFC9 F1 64 33.97 0.75 0.9999 . 148 AdultFC9 F1 160 32.68 0.75 0.9919 . 149 AdultFC9 F1 400 36.22 0.75 1.0000 . 150 AdultFC9 F1 1000 33.26 0.75 0.9988 0.9920 151 Laid F0 0 44.06 2.18 _ . 152 Laid F0 64 44.00 2.18 0.7940 . 153 Laid F0 160 42.44 2.18 0.5916 . 154 Laid F0 400 46.11 2.18 0.9478 . 155 Laid F0 1000 40.67 2.18 0.3329 0.1471 156 Laid F1 0 39.44 1.97 _ . 157 Laid F1 64 42.39 1.97 0.9812 . 158 Laid F1 160 37.61 1.97 0.5300 . 159 Laid F1 400 43.00 1.97 0.9902 . 160 Laid F1 1000 42.89 1.97 0.9889 0.8433 161 Laid_Hen_Day F0 0 0.98 0.04 _ . 162 Laid_Hen_Day F0 64 0.90 0.04 0.2203 . 163 Laid_Hen_Day F0 160 0.87 0.04 0.0859 . 164 Laid_Hen_Day F0 400 0.94 0.04 0.5328 . 165 Laid_Hen_Day F0 1000 0.83 0.04 0.0205 0.0604 166 Laid_Hen_Day F1 0 0.81 0.05 _ . 167 Laid_Hen_Day F1 64 0.88 0.05 0.9849 . 168 Laid_Hen_Day F1 160 0.83 0.05 0.8925 . 169 Laid_Hen_Day F1 400 0.88 0.05 0.9849 . 170 Laid_Hen_Day F1 1000 0.89 0.05 0.9904 0.8958 171 Crack F0 0 1.61 0.57 _ . 172 Crack F0 64 1.78 0.57 0.7260 . 173 Crack F0 160 1.22 0.57 0.9200 . 174 Crack F0 400 0.72 0.57 0.9833 . 175 Crack F0 1000 1.11 0.57 0.9413 0.4692Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 25 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 176 Crack F1 0 1.83 0.65 _ . 177 Crack F1 64 1.83 0.65 0.8000 . 178 Crack F1 160 1.78 0.65 0.8192 . 179 Crack F1 400 2.33 0.65 0.5825 . 180 Crack F1 1000 2.06 0.65 0.7121 0.3867 181 Crack_Laid F0 0 0.04 0.01 _ . 182 Crack_Laid F0 64 0.04 0.01 0.4216 . 183 Crack_Laid F0 160 0.03 0.01 0.8214 . 184 Crack_Laid F0 400 0.02 0.01 0.9457 . 185 Crack_Laid F0 1000 0.03 0.01 0.6523 0.4371 186 Crack_Laid F1 0 0.05 0.01 _ . 187 Crack_Laid F1 64 0.04 0.01 0.8853 . 188 Crack_Laid F1 160 0.04 0.01 0.8687 . 189 Crack_Laid F1 400 0.05 0.01 0.8935 . 190 Crack_Laid F1 1000 0.05 0.01 0.7146 0.4331 191 Abnormal F0 0 2.44 0.78 _ . 192 Abnormal F0 64 2.00 0.78 0.6436 . 193 Abnormal F0 160 1.78 0.78 0.5528 . 194 Abnormal F0 400 0.89 0.78 0.2138 . 195 Abnormal F0 1000 2.33 0.78 0.7651 0.6070 196 Abnormal F1 0 3.39 1.01 _ . 197 Abnormal F1 64 2.94 1.01 0.6840 . 198 Abnormal F1 160 3.56 1.01 0.8360 . 199 Abnormal F1 400 3.56 1.01 0.8360 . 200 Abnormal F1 1000 3.17 1.01 0.7454 0.6083 201 Abnorm_Laid F0 0 0.06 0.02 _ . 202 Abnorm_Laid F0 64 0.05 0.02 0.5394 . 203 Abnorm_Laid F0 160 0.04 0.02 0.7956 . 204 Abnorm_Laid F0 400 0.02 0.02 0.9663 . 205 Abnorm_Laid F0 1000 0.06 0.02 0.4485 0.3580 206 Abnorm_Laid F1 0 0.09 0.03 _ . 207 Abnorm_Laid F1 64 0.07 0.03 0.9303 . 208 Abnorm_Laid F1 160 0.10 0.03 0.6807 . 209 Abnorm_Laid F1 400 0.08 0.03 0.8827 . 210 Abnorm_Laid F1 1000 0.07 0.03 0.8541 0.4528Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 26 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 211 FGSet F0 0 11.94 0.43 _ . 212 FGSet F0 64 11.17 0.42 0.2585 . 213 FGSet F0 160 11.88 0.43 0.7658 . 214 FGSet F0 400 12.06 0.42 0.8556 . 215 FGSet F0 1000 11.38 0.44 0.4119 0.2756 216 FGSet F1 0 10.61 0.55 _ . 217 FGSet F1 64 11.24 0.56 0.9633 . 218 FGSet F1 160 11.29 0.56 0.9698 . 219 FGSet F1 400 11.06 0.55 0.9371 . 220 FGSet F1 1000 11.00 0.56 0.9247 0.7255 221 EFGSet F0 0 18.06 0.76 _ . 222 EFGSet F0 64 16.56 0.74 0.2129 . 223 EFGSet F0 160 17.06 0.76 0.4037 . 224 EFGSet F0 400 17.89 0.74 0.7410 . 225 EFGSet F0 1000 16.24 0.76 0.1344 0.2789 226 EFGSet F1 0 16.17 0.85 _ . 227 EFGSet F1 64 16.82 0.87 0.9314 . 228 EFGSet F1 160 16.47 0.87 0.8737 . 229 EFGSet F1 400 16.22 0.85 0.8171 . 230 EFGSet F1 1000 16.33 0.85 0.8446 0.5445 231 FGFert F0 0 11.71 0.56 _ . 232 FGFert F0 64 10.72 0.54 0.2658 . 233 FGFert F0 160 11.35 0.56 0.6234 . 234 FGFert F0 400 11.39 0.54 0.6410 . 235 FGFert F0 1000 11.19 0.57 0.5329 0.3609 236 FGFert F1 0 10.39 0.56 _ . 237 FGFert F1 64 10.94 0.58 0.9514 . 238 FGFert F1 160 11.00 0.58 0.9594 . 239 FGFert F1 400 10.44 0.56 0.8254 . 240 FGFert F1 1000 10.94 0.58 0.9514 0.7334 241 FGFert_Set F0 0 0.98 0.03 _ . 242 FGFert_Set F0 64 0.96 0.03 0.6167 . 243 FGFert_Set F0 160 0.95 0.03 0.4641 . 244 FGFert_Set F0 400 0.94 0.03 0.5585 . 245 FGFert_Set F0 1000 0.97 0.03 0.7884 0.6081Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 27 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 246 FGFert_Set F1 0 0.98 0.02 _ . 247 FGFert_Set F1 64 0.97 0.02 0.7360 . 248 FGFert_Set F1 160 0.98 0.02 0.6959 . 249 FGFert_Set F1 400 0.94 0.02 0.4463 . 250 FGFert_Set F1 1000 1.00 0.02 0.9792 0.8542 251 EFGFert F0 0 17.82 0.88 _ . 252 EFGFert F0 64 16.06 0.86 0.2081 . 253 EFGFert F0 160 16.47 0.88 0.3387 . 254 EFGFert F0 400 17.00 0.86 0.5231 . 255 EFGFert F0 1000 16.06 0.88 0.2154 0.3297 256 EFGFert F1 0 15.61 0.89 _ . 257 EFGFert F1 64 16.47 0.92 0.9493 . 258 EFGFert F1 160 15.94 0.92 0.8754 . 259 EFGFert F1 400 15.11 0.89 0.6504 . 260 EFGFert F1 1000 16.17 0.89 0.9142 0.5768 261 EFGFert_Set F0 0 0.99 0.02 _ . 262 EFGFert_Set F0 64 0.97 0.02 0.6057 . 263 EFGFert_Set F0 160 0.96 0.02 0.3800 . 264 EFGFert_Set F0 400 0.95 0.02 0.4907 . 265 EFGFert_Set F0 1000 0.98 0.02 0.7860 0.6417 266 EFGFert_Set F1 0 0.96 0.02 _ . 267 EFGFert_Set F1 64 0.98 0.02 0.9440 . 268 EFGFert_Set F1 160 0.97 0.02 0.7505 . 269 EFGFert_Set F1 400 0.93 0.02 0.5021 . 270 EFGFert_Set F1 1000 0.99 0.02 0.9863 0.7869 271 FGViable F0 0 11.65 0.57 _ . 272 FGViable F0 64 10.39 0.55 0.1608 . 273 FGViable F0 160 11.06 0.57 0.4932 . 274 FGViable F0 400 11.17 0.55 0.5513 . 275 FGViable F0 1000 10.94 0.58 0.4302 0.4102 276 FGViable F1 0 10.17 0.61 _ . 277 FGViable F1 64 10.76 0.63 0.9513 . 278 FGViable F1 160 10.76 0.63 0.9513 . 279 FGViable F1 400 10.06 0.61 0.7589 . 280 FGViable F1 1000 10.71 0.63 0.9428 0.6802Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 28 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 281 FGVia_Set F0 0 0.97 0.03 _ . 282 FGVia_Set F0 64 0.93 0.03 0.1866 . 283 FGVia_Set F0 160 0.93 0.03 0.2172 . 284 FGVia_Set F0 400 0.92 0.03 0.4057 . 285 FGVia_Set F0 1000 0.95 0.03 0.4674 0.3171 286 FGVia_Set F1 0 0.96 0.03 _ . 287 FGVia_Set F1 64 0.96 0.03 0.7413 . 288 FGVia_Set F1 160 0.96 0.03 0.6212 . 289 FGVia_Set F1 400 0.91 0.03 0.3516 . 290 FGVia_Set F1 1000 0.97 0.03 0.9359 0.6448 291 EFGVia F0 0 17.65 0.90 _ . 292 EFGVia F0 64 15.50 0.88 0.1322 . 293 EFGVia F0 160 16.06 0.90 0.2741 . 294 EFGVia F0 400 16.50 0.88 0.4121 . 295 EFGVia F0 1000 15.71 0.90 0.1812 0.3372 296 EFGVia F1 0 15.28 0.94 _ . 297 EFGVia F1 64 16.29 0.97 0.9588 . 298 EFGVia F1 160 15.53 0.97 0.8576 . 299 EFGVia F1 400 14.61 0.94 0.6033 . 300 EFGVia F1 1000 15.83 0.94 0.9102 0.4292 301 EFGVia_Set F0 0 0.98 0.03 _ . 302 EFGVia_Set F0 64 0.94 0.03 0.1869 . 303 EFGVia_Set F0 160 0.93 0.03 0.1970 . 304 EFGVia_Set F0 400 0.92 0.03 0.2419 . 305 EFGVia_Set F0 1000 0.95 0.03 0.5534 0.4038 306 EFGVia_Set F1 0 0.94 0.03 _ . 307 EFGVia_Set F1 64 0.97 0.03 0.9295 . 308 EFGVia_Set F1 160 0.94 0.03 0.5684 . 309 EFGVia_Set F1 400 0.90 0.03 0.3086 . 310 EFGVia_Set F1 1000 0.97 0.03 0.9455 0.4467 311 FG2Wk F0 0 11.53 0.58 _ . 312 FG2Wk F0 64 10.39 0.56 0.2156 . 313 FG2Wk F0 160 10.76 0.58 0.4033 . 314 FG2Wk F0 400 10.83 0.56 0.4355 . 315 FG2Wk F0 1000 10.88 0.60 0.4696 0.3541Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 29 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 316 FG2Wk F1 0 10.06 0.64 _ . 317 FG2Wk F1 64 10.06 0.65 0.8046 . 318 FG2Wk F1 160 10.24 0.65 0.8613 . 319 FG2Wk F1 400 9.94 0.64 0.7607 . 320 FG2Wk F1 1000 10.71 0.65 0.9549 0.7714 321 FG2Wk_Via F0 0 0.99 0.01 _ . 322 FG2Wk_Via F0 64 1.00 0.01 0.9652 . 323 FG2Wk_Via F0 160 0.97 0.01 0.2264 . 324 FG2Wk_Via F0 400 0.97 0.01 0.1216 . 325 FG2Wk_Via F0 1000 0.99 0.01 0.8966 0.1635 326 FG2Wk_Via F1 0 0.99 0.02 _ . 327 FG2Wk_Via F1 64 0.93 0.02 0.0409 . 328 FG2Wk_Via F1 160 0.95 0.02 0.2648 . 329 FG2Wk_Via F1 400 0.99 0.02 0.8183 . 330 FG2Wk_Via F1 1000 1.00 0.02 0.9522 0.9521 331 EFG2Wk F0 0 17.53 0.92 _ . 332 EFG2Wk F0 64 15.50 0.89 0.1632 . 333 EFG2Wk F0 160 15.76 0.92 0.2330 . 334 EFG2Wk F0 400 16.17 0.89 0.3460 . 335 EFG2Wk F0 1000 15.65 0.92 0.2031 0.2957 336 EFG2Wk F1 0 15.17 0.94 _ . 337 EFG2Wk F1 64 15.59 0.97 0.8881 . 338 EFG2Wk F1 160 15.00 0.97 0.7596 . 339 EFG2Wk F1 400 14.50 0.94 0.6041 . 340 EFG2Wk F1 1000 15.83 0.94 0.9249 0.5692 341 EFG2Wk_Via F0 0 0.99 0.01 _ . 342 EFG2Wk_Via F0 64 1.00 0.01 0.9647 . 343 EFG2Wk_Via F0 160 0.97 0.01 0.2227 . 344 EFG2Wk_Via F0 400 0.98 0.01 0.1211 . 345 EFG2Wk_Via F0 1000 1.00 0.01 0.9022 0.1935 346 EFG2Wk_Via F1 0 0.99 0.01 _ . 347 EFG2Wk_Via F1 64 0.96 0.01 0.0372 . 348 EFG2Wk_Via F1 160 0.97 0.01 0.2434 . 349 EFG2Wk_Via F1 400 0.99 0.01 0.8053 . 350 EFG2Wk_Via F1 1000 1.00 0.01 0.9521 0.9529Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 30 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 351 FGHatch F0 0 10.88 0.72 _ . 352 FGHatch F0 64 9.72 0.70 0.3111 . 353 FGHatch F0 160 9.82 0.72 0.3588 . 354 FGHatch F0 400 9.89 0.70 0.3804 . 355 FGHatch F0 1000 10.31 0.74 0.5786 0.3727 356 FGHatch F1 0 9.39 0.71 _ . 357 FGHatch F1 64 9.18 0.73 0.7290 . 358 FGHatch F1 160 9.06 0.73 0.6825 . 359 FGHatch F1 400 9.33 0.71 0.7850 . 360 FGHatch F1 1000 10.06 0.73 0.9481 0.6763 361 FGHatch_2Wk F0 0 0.94 0.04 _ . 362 FGHatch_2Wk F0 64 0.91 0.04 0.6187 . 363 FGHatch_2Wk F0 160 0.87 0.04 0.3769 . 364 FGHatch_2Wk F0 400 0.89 0.04 0.4623 . 365 FGHatch_2Wk F0 1000 0.95 0.05 0.8355 0.5017 366 FGHatch_2Wk F1 0 0.92 0.03 _ . 367 FGHatch_2Wk F1 64 0.90 0.03 0.6894 . 368 FGHatch_2Wk F1 160 0.87 0.03 0.2554 . 369 FGHatch_2Wk F1 400 0.93 0.03 0.8472 . 370 FGHatch_2Wk F1 1000 0.93 0.03 0.7679 0.4335 371 FG14Day F0 0 9.71 0.62 _ . 372 FG14Day F0 64 9.50 0.60 0.7141 . 373 FG14Day F0 160 10.13 0.63 0.9197 . 374 FG14Day F0 400 10.35 0.62 0.9571 . 375 FG14Day F0 1000 10.00 0.63 0.8919 0.9041 376 FG14Day F1 0 9.11 0.70 _ . 377 FG14Day F1 64 8.82 0.72 0.6976 . 378 FG14Day F1 160 8.53 0.72 0.5697 . 379 FG14Day F1 400 9.06 0.70 0.7846 . 380 FG14Day F1 1000 9.71 0.72 0.9396 0.6260 381 FG14Day_Hatch F0 0 0.90 0.01 _ . 382 FG14Day_Hatch F0 64 0.98 0.01 1.0000 . 383 FG14Day_Hatch F0 160 0.97 0.01 1.0000 . 384 FG14Day_Hatch F0 400 0.99 0.01 1.0000 . 385 FG14Day_Hatch F0 1000 0.97 0.01 1.0000 0.9998Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 31 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 386 FG14Day_Hatch F1 0 0.98 0.01 _ . 387 FG14Day_Hatch F1 64 0.96 0.01 0.5335 . 388 FG14Day_Hatch F1 160 0.94 0.01 0.0814 . 389 FG14Day_Hatch F1 400 0.98 0.01 0.7387 . 390 FG14Day_Hatch F1 1000 0.97 0.01 0.6152 0.4389 391 FGHatch_Set F0 0 0.91 0.05 _ . 392 FGHatch_Set F0 64 0.84 0.05 0.3440 . 393 FGHatch_Set F0 160 0.82 0.05 0.3484 . 394 FGHatch_Set F0 400 0.82 0.05 0.3083 . 395 FGHatch_Set F0 1000 0.89 0.05 0.7493 0.3929 396 FGHatch_Set F1 0 0.87 0.04 _ . 397 FGHatch_Set F1 64 0.81 0.04 0.3186 . 398 FGHatch_Set F1 160 0.79 0.04 0.1479 . 399 FGHatch_Set F1 400 0.84 0.04 0.6109 . 400 FGHatch_Set F1 1000 0.90 0.04 0.9329 0.7122 401 FGHatch_Fert F0 0 0.93 0.04 _ . 402 FGHatch_Fert F0 64 0.88 0.04 0.4132 . 403 FGHatch_Fert F0 160 0.84 0.04 0.2390 . 404 FGHatch_Fert F0 400 0.84 0.04 0.2224 . 405 FGHatch_Fert F0 1000 0.92 0.05 0.7010 0.2732 406 FGHatch_Fert F1 0 0.89 0.04 _ . 407 FGHatch_Fert F1 64 0.83 0.04 0.2653 . 408 FGHatch_Fert F1 160 0.81 0.04 0.1190 . 409 FGHatch_Fert F1 400 0.87 0.04 0.6442 . 410 FGHatch_Fert F1 1000 0.91 0.04 0.8610 0.6119 411 FG14Day_Set F0 0 0.81 0.04 _ . 412 FG14Day_Set F0 64 0.82 0.04 0.8820 . 413 FG14Day_Set F0 160 0.80 0.04 0.8877 . 414 FG14Day_Set F0 400 0.85 0.04 0.9938 . 415 FG14Day_Set F0 1000 0.86 0.04 0.9935 0.9549 416 FG14Day_Set F1 0 0.85 0.04 _ . 417 FG14Day_Set F1 64 0.78 0.04 0.3214 . 418 FG14Day_Set F1 160 0.74 0.04 0.0759 . 419 FG14Day_Set F1 400 0.82 0.04 0.5466 . 420 FG14Day_Set F1 1000 0.87 0.04 0.8898 0.6694Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 32 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 421 FGHatch_H_D F0 0 0.78 0.05 _ . 422 FGHatch_H_D F0 64 0.70 0.05 0.3435 . 423 FGHatch_H_D F0 160 0.70 0.05 0.3231 . 424 FGHatch_H_D F0 400 0.71 0.05 0.3538 . 425 FGHatch_H_D F0 1000 0.74 0.05 0.6107 0.3727 426 FGHatch_H_D F1 0 0.67 0.05 _ . 427 FGHatch_H_D F1 64 0.66 0.05 0.7419 . 428 FGHatch_H_D F1 160 0.67 0.05 0.8074 . 429 FGHatch_H_D F1 400 0.67 0.05 0.8068 . 430 FGHatch_H_D F1 1000 0.72 0.05 0.9506 0.6763 431 FG14Day_H_D F0 0 0.69 0.04 _ . 432 FG14Day_H_D F0 64 0.68 0.04 0.7548 . 433 FG14Day_H_D F0 160 0.72 0.05 0.9353 . 434 FG14Day_H_D F0 400 0.74 0.04 0.9729 . 435 FG14Day_H_D F0 1000 0.72 0.05 0.9339 0.9041 436 FG14Day_H_D F1 0 0.65 0.05 _ . 437 FG14Day_H_D F1 64 0.63 0.05 0.7311 . 438 FG14Day_H_D F1 160 0.63 0.05 0.7208 . 439 FG14Day_H_D F1 400 0.65 0.05 0.8108 . 440 FG14Day_H_D F1 1000 0.69 0.05 0.9465 0.6246 441 EggShellThick F0 0 0.21 0.00 _ . 442 EggShellThick F0 64 0.20 0.00 0.7756 . 443 EggShellThick F0 160 0.21 0.00 0.8697 . 444 EggShellThick F0 400 0.21 0.00 0.9728 . 445 EggShellThick F0 1000 0.21 0.00 0.9587 0.8347 446 EggShellThick F1 0 0.21 0.00 _ . 447 EggShellThick F1 64 0.20 0.00 0.5692 . 448 EggShellThick F1 160 0.20 0.00 0.3965 . 449 EggShellThick F1 400 0.20 0.00 0.3844 . 450 EggShellThick F1 1000 0.21 0.00 0.7361 0.4458 451 EggWtAlb F0 0 3.91 0.16 _ . 452 EggWtAlb F0 64 3.59 0.16 0.2126 . 453 EggWtAlb F0 160 3.64 0.16 0.2949 . 454 EggWtAlb F0 400 3.73 0.16 0.4654 . 455 EggWtAlb F0 1000 3.86 0.17 0.7205 0.5402Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 33 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 456 EggWtAlb F1 0 4.46 0.16 _ . 457 EggWtAlb F1 64 5.07 0.16 1.0000 . 458 EggWtAlb F1 160 4.78 0.16 0.9944 . 459 EggWtAlb F1 400 4.86 0.16 0.9984 . 460 EggWtAlb F1 1000 5.21 0.16 1.0000 0.9818 461 EggWtYolk F0 0 4.07 0.14 _ . 462 EggWtYolk F0 64 4.14 0.14 0.9023 . 463 EggWtYolk F0 160 4.15 0.14 0.9099 . 464 EggWtYolk F0 400 4.34 0.14 0.9932 . 465 EggWtYolk F0 1000 3.85 0.14 0.3445 0.5555 466 EggWtYolk F1 0 3.78 0.11 _ . 467 EggWtYolk F1 64 3.94 0.11 0.9794 . 468 EggWtYolk F1 160 3.91 0.11 0.9616 . 469 EggWtYolk F1 400 4.27 0.11 1.0000 . 470 EggWtYolk F1 1000 4.00 0.11 0.9944 0.9454 471 EggWtComb F0 0 7.98 0.25 _ . 472 EggWtComb F0 64 7.73 0.24 0.5051 . 473 EggWtComb F0 160 7.79 0.25 0.5837 . 474 EggWtComb F0 400 8.07 0.25 0.8735 . 475 EggWtComb F0 1000 7.71 0.26 0.4912 0.5875 476 EggWtComb F1 0 8.24 0.24 _ . 477 EggWtComb F1 64 9.01 0.24 0.9998 . 478 EggWtComb F1 160 8.69 0.24 0.9917 . 479 EggWtComb F1 400 9.13 0.24 1.0000 . 480 EggWtComb F1 1000 9.21 0.24 1.0000 0.9824 481 AgeFoam F1 0 42.61 1.64 _ . 482 AgeFoam F1 64 38.28 1.64 0.1944 . 483 AgeFoam F1 160 38.50 1.64 0.2330 . 484 AgeFoam F1 400 37.72 1.64 0.1190 . 485 AgeFoam F1 1000 37.89 1.64 0.1387 0.1867 486 AgeEgg F1 0 48.28 1.85 _ . 487 AgeEgg F1 64 46.11 1.85 0.8247 . 488 AgeEgg F1 160 51.89 1.85 0.4504 . 489 AgeEgg F1 400 45.50 1.85 0.6705 . 490 AgeEgg F1 1000 46.00 1.85 0.7989 0.2151Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 34 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 491 CloacaF4 F1 0 0.21 0.03 _ . 492 CloacaF4 F1 64 0.31 0.03 0.0946 . 493 CloacaF4 F1 160 0.27 0.03 0.5423 . 494 CloacaF4 F1 400 0.31 0.03 0.0894 . 495 CloacaF4 F1 1000 0.29 0.03 0.2965 0.0670 496 CloacaF5 F1 0 0.11 0.02 _ . 497 CloacaF5 F1 64 0.14 0.02 0.6897 . 498 CloacaF5 F1 160 0.16 0.02 0.2779 . 499 CloacaF5 F1 400 0.16 0.02 0.4140 . 500 CloacaF5 F1 1000 0.16 0.02 0.3042 0.2267 501 CloacaF6 F1 0 0.10 0.01 _ . 502 CloacaF6 F1 64 0.12 0.01 0.6817 . 503 CloacaF6 F1 160 0.12 0.01 0.8161 . 504 CloacaF6 F1 400 0.13 0.01 0.3061 . 505 CloacaF6 F1 1000 0.10 0.01 1.0000 0.9313 506 CloacaM4 F1 0 0.22 0.03 _ . 507 CloacaM4 F1 64 0.24 0.03 0.9814 . 508 CloacaM4 F1 160 0.28 0.03 0.3649 . 509 CloacaM4 F1 400 0.22 0.03 1.0000 . 510 CloacaM4 F1 1000 0.24 0.03 0.9814 0.7802 511 CloacaM5 F1 0 0.28 0.03 _ . 512 CloacaM5 F1 64 0.30 0.03 0.9655 . 513 CloacaM5 F1 160 0.33 0.03 0.6669 . 514 CloacaM5 F1 400 0.30 0.03 0.9823 . 515 CloacaM5 F1 1000 0.32 0.03 0.8124 0.4074 516 CloacaM6 F1 0 0.42 0.04 _ . 517 CloacaM6 F1 64 0.45 0.04 0.9744 . 518 CloacaM6 F1 160 0.43 0.04 0.9986 . 519 CloacaM6 F1 400 0.43 0.04 0.9988 . 520 CloacaM6 F1 1000 0.42 0.04 1.0000 0.9571 521 CloCon1 F1 0 2.86 0.79 _ . 522 CloCon1 F1 64 3.29 0.79 0.9015 . 523 CloCon1 F1 160 3.86 0.79 0.9699 . 524 CloCon1 F1 400 3.57 0.79 0.9437 . 525 CloCon1 F1 1000 3.14 0.79 0.8730 0.3893Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 35 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 526 CloCon1 F2 0 3.14 0.74 _ . 527 CloCon1 F2 1000 2.57 0.74 0.2986 0.2807 528 CloCon2 F1 0 5.43 1.03 _ . 529 CloCon2 F1 64 3.57 1.03 0.2690 . 530 CloCon2 F1 160 4.00 1.03 0.3867 . 531 CloCon2 F1 400 3.71 1.03 0.3059 . 532 CloCon2 F1 1000 3.00 1.03 0.1491 0.1725 533 CloCon2 F2 0 5.14 1.15 _ . 534 CloCon2 F2 1000 2.86 1.15 0.0932 0.1230 535 CloCon3 F1 0 7.57 1.18 _ . 536 CloCon3 F1 64 3.71 1.18 0.0439 . 537 CloCon3 F1 160 4.29 1.18 0.0867 . 538 CloCon3 F1 400 5.14 1.18 0.2068 . 539 CloCon3 F1 1000 6.71 1.18 0.5962 0.5523 540 CloCon3 F2 0 4.43 0.88 _ . 541 CloCon3 F2 1000 4.57 0.88 0.5446 0.5000 542 ChangeCC F1 0 4.71 1.22 _ . 543 ChangeCC F1 64 0.43 1.22 0.0624 . 544 ChangeCC F1 160 0.43 1.22 0.0624 . 545 ChangeCC F1 400 1.57 1.22 0.2301 . 546 ChangeCC F1 1000 3.57 1.22 0.9090 0.9417 547 ChangeCC F2 0 1.29 0.57 _ . 548 ChangeCC F2 1000 2.00 0.57 0.3941 0.3620 549 CrowFluff1 F1 0 7.71 1.11 _ . 550 CrowFluff1 F1 64 3.57 1.11 0.0213 . 551 CrowFluff1 F1 160 7.43 1.11 0.7352 . 552 CrowFluff1 F1 400 3.43 1.11 0.0172 . 553 CrowFluff1 F1 1000 3.00 1.11 0.0090 0.0162 554 CrowFluff1 F2 0 6.86 1.93 _ . 555 CrowFluff1 F2 1000 5.86 1.93 0.3604 0.4486 556 CrowFluff2 F1 0 5.00 0.92 _ . 557 CrowFluff2 F1 64 5.00 0.92 0.8000 . 558 CrowFluff2 F1 160 4.00 0.92 0.4821 . 559 CrowFluff2 F1 400 4.29 0.92 0.5817 . 560 CrowFluff2 F1 1000 4.29 0.92 0.5817 0.3726Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 36 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 561 CrowFluff2 F2 0 6.00 1.03 _ . 562 CrowFluff2 F2 1000 4.14 1.03 0.1129 0.1109 563 CrowFluff3 F1 0 7.57 1.18 _ . 564 CrowFluff3 F1 64 8.43 1.18 0.9248 . 565 CrowFluff3 F1 160 9.14 1.18 0.9730 . 566 CrowFluff3 F1 400 6.86 1.18 0.6346 . 567 CrowFluff3 F1 1000 8.71 1.18 0.9489 0.6373 568 CrowFluff3 F2 0 4.71 1.32 _ . 569 CrowFluff3 F2 1000 6.86 1.32 0.8634 0.8163 570 ChangeCF F1 0 -0.14 1.40 _ . 571 ChangeCF F1 64 4.86 1.40 0.0572 . 572 ChangeCF F1 160 1.71 1.40 0.7567 . 573 ChangeCF F1 400 3.43 1.40 0.2377 . 574 ChangeCF F1 1000 5.71 1.40 0.0212 0.0236 575 ChangeCF F2 0 -2.14 2.47 _ . 576 ChangeCF F2 1000 1.00 2.47 0.3852 0.5183 577 Mount1 F1 0 39.57 11.63 _ . 578 Mount1 F1 64 5.14 11.63 0.9992 . 579 Mount1 F1 160 20.29 11.63 0.9856 . 580 Mount1 F1 400 27.14 11.63 0.9569 . 581 Mount1 F1 1000 46.57 11.63 0.6356 0.0378 582 Mount1 F2 0 57.14 44.06 _ . 583 Mount1 F2 1000 85.86 44.06 0.3266 0.2026 584 Mount2 F1 0 15.00 19.75 _ . 585 Mount2 F1 64 47.71 19.75 0.3081 . 586 Mount2 F1 160 9.29 19.75 0.8599 . 587 Mount2 F1 400 11.29 19.75 0.8405 . 588 Mount2 F1 1000 21.43 19.75 0.7169 0.4077 589 Mount2 F2 0 45.86 42.25 _ . 590 Mount2 F2 1000 59.43 42.25 0.4121 0.6535 591 Mount3 F1 0 15.71 27.01 _ . 592 Mount3 F1 64 49.43 27.01 0.4296 . 593 Mount3 F1 160 49.29 27.01 0.4312 . 594 Mount3 F1 400 8.57 27.01 0.8553 . 595 Mount3 F1 1000 8.00 27.01 0.8592 0.5523Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 37 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 596 Mount3 F2 0 45.57 30.13 _ . 597 Mount3 F2 1000 10.14 30.13 0.7890 0.4227 598 ChangeMt F1 0 -23.86 27.62 _ . 599 ChangeMt F1 64 44.29 27.62 0.2604 . 600 ChangeMt F1 160 29.00 27.62 0.4740 . 601 ChangeMt F1 400 -18.57 27.62 0.9997 . 602 ChangeMt F1 1000 -38.57 27.62 0.9868 0.1268 603 ChangeMt F2 0 -11.57 33.03 _ . 604 ChangeMt F2 1000 -75.71 33.03 0.1948 0.4812 605 Attempts1 F1 0 5.29 1.31 _ . 606 Attempts1 F1 64 5.86 1.31 0.8848 . 607 Attempts1 F1 160 5.86 1.31 0.8848 . 608 Attempts1 F1 400 6.57 1.31 0.9498 . 609 Attempts1 F1 1000 5.57 1.31 0.8463 0.4706 610 Attempts1 F2 0 9.14 2.70 _ . 611 Attempts1 F2 1000 10.71 2.70 0.6560 0.6497 612 Attempts2 F1 0 12.43 2.14 _ . 613 Attempts2 F1 64 6.14 2.14 0.0714 . 614 Attempts2 F1 160 7.71 2.14 0.1780 . 615 Attempts2 F1 400 11.14 2.14 0.6360 . 616 Attempts2 F1 1000 4.57 2.14 0.0241 0.1299 617 Attempts2 F2 0 11.57 2.71 _ . 618 Attempts2 F2 1000 6.29 2.71 0.0965 0.0999 619 Attempts3 F1 0 13.43 2.42 _ . 620 Attempts3 F1 64 6.57 2.42 0.0817 . 621 Attempts3 F1 160 11.71 2.42 0.6022 . 622 Attempts3 F1 400 14.14 2.42 0.8610 . 623 Attempts3 F1 1000 9.29 2.42 0.2924 0.5174 624 Attempts3 F2 0 8.71 1.79 _ . 625 Attempts3 F2 1000 7.86 1.79 0.3706 0.3739 626 ChangeAt F1 0 8.14 1.91 _ . 627 ChangeAt F1 64 0.71 1.91 0.0341 . 628 ChangeAt F1 160 5.86 1.91 0.8131 . 629 ChangeAt F1 400 7.57 1.91 0.9985 . 630 ChangeAt F1 1000 3.71 1.91 0.3111 0.9884Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 38 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 631 ChangeAt F2 0 -0.43 2.47 _ . 632 ChangeAt F2 1000 -2.86 2.47 0.5002 0.5627 633 NeckGrab1 F1 0 15.14 8.27 _ . 634 NeckGrab1 F1 64 4.14 8.27 0.9729 . 635 NeckGrab1 F1 160 14.86 8.27 0.8079 . 636 NeckGrab1 F1 400 6.57 8.27 0.9544 . 637 NeckGrab1 F1 1000 29.71 8.27 0.2797 0.2896 638 NeckGrab1 F2 0 52.14 41.88 _ . 639 NeckGrab1 F2 1000 50.43 41.88 0.5113 0.2798 640 NeckGrab2 F1 0 8.29 6.10 _ . 641 NeckGrab2 F1 64 9.14 6.10 0.7660 . 642 NeckGrab2 F1 160 6.43 6.10 0.8627 . 643 NeckGrab2 F1 400 5.14 6.10 0.8972 . 644 NeckGrab2 F1 1000 17.71 6.10 0.3392 0.8191 645 NeckGrab2 F2 0 44.71 30.16 _ . 646 NeckGrab2 F2 1000 5.43 30.16 0.8124 0.4473 647 NeckGrab3 F1 0 4.29 2.29 _ . 648 NeckGrab3 F1 64 5.43 2.29 0.6669 . 649 NeckGrab3 F1 160 7.14 2.29 0.4301 . 650 NeckGrab3 F1 400 3.14 2.29 0.8947 . 651 NeckGrab3 F1 1000 3.00 2.29 0.9037 0.7052 652 NeckGrab3 F2 0 44.86 30.14 _ . 653 NeckGrab3 F2 1000 5.00 30.14 0.8159 0.5781 654 ChangeNG F1 0 -10.86 7.78 _ . 655 ChangeNG F1 64 1.29 7.78 0.6423 . 656 ChangeNG F1 160 -7.71 7.78 0.9953 . 657 ChangeNG F1 400 -3.43 7.78 0.9025 . 658 ChangeNG F1 1000 -26.71 7.78 0.4192 0.5392 659 ChangeNG F2 0 -7.29 28.10 _ . 660 ChangeNG F2 1000 -45.43 28.10 0.3561 0.3663Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 39 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 661 ThyF214DayM F2 0 4.03 0.36 _ . 662 ThyF214DayM F2 64 3.24 0.38 0.3748 . 663 ThyF214DayM F2 160 2.38 0.36 0.0075 . 664 ThyF214DayM F2 400 3.61 0.35 0.8227 . 665 ThyF214DayM F2 1000 2.89 0.35 0.0908 0.0989 666 ThyF214DayF F2 0 2.57 0.46 _ . 667 ThyF214DayF F2 64 3.21 0.46 0.7308 . 668 ThyF214DayF F2 160 5.23 0.49 0.0008 . 669 ThyF214DayF F2 400 3.53 0.48 0.4111 . 670 ThyF214DayF F2 1000 3.38 0.51 0.5913 0.2249 671 ThyAdultMale F0 0 11.80 1.13 _ . 672 ThyAdultMale F0 64 7.58 1.05 0.0265 . 673 ThyAdultMale F0 160 8.14 1.09 0.0710 . 674 ThyAdultMale F0 400 9.46 1.05 0.3560 . 675 ThyAdultMale F0 1000 12.19 0.99 0.9966 0.1713 676 ThyAdultMale F1 0 6.81 1.26 _ . 677 ThyAdultMale F1 64 8.65 1.21 0.6816 . 678 ThyAdultMale F1 160 8.87 1.42 0.6553 . 679 ThyAdultMale F1 400 11.92 1.36 0.0265 . 680 ThyAdultMale F1 1000 9.64 1.26 0.3296 0.0212 681 ThyAdultFemale F0 0 11.36 2.11 _ . 682 ThyAdultFemale F0 64 13.93 1.90 0.7599 . 683 ThyAdultFemale F0 160 12.90 1.79 0.9427 . 684 ThyAdultFemale F0 400 13.67 2.03 0.8322 . 685 ThyAdultFemale F0 1000 15.71 1.84 0.3301 0.1914 686 ThyAdultFemale F1 0 15.46 1.65 _ . 687 ThyAdultFemale F1 64 12.06 1.71 0.4288 . 688 ThyAdultFemale F1 160 12.84 1.71 0.6518 . 689 ThyAdultFemale F1 400 14.32 1.85 0.9751 . 690 ThyAdultFemale F1 1000 13.43 1.85 0.8362 0.9735 691 ThyWtED15 F1 0 2.05 0.18 _ . 692 ThyWtED15 F1 64 2.20 0.18 0.9430 . 693 ThyWtED15 F1 160 2.17 0.22 0.9784 . 694 ThyWtED15 F1 400 1.87 0.19 0.9018 . 695 ThyWtED15 F1 1000 1.75 0.19 0.6235 0.2098Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 40 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 696 ThyWtED15 F2 0 1.85 0.20 _ . 697 ThyWtED15 F2 64 1.93 0.19 0.9958 . 698 ThyWtED15 F2 160 2.09 0.20 0.8085 . 699 ThyWtED15 F2 400 2.10 0.21 0.8116 . 700 ThyWtED15 F2 1000 2.14 0.21 0.7082 0.2536 701 SexRatio F1 0 54.97 4.44 _ . 702 SexRatio F1 64 48.28 4.31 0.6563 . 703 SexRatio F1 160 54.20 4.57 0.9998 . 704 SexRatio F1 400 48.72 4.44 0.7162 . 705 SexRatio F1 1000 46.92 4.57 0.5281 0.2641 706 SexRatio F2 0 53.70 3.97 _ . 707 SexRatio F2 64 52.02 4.08 0.9950 . 708 SexRatio F2 160 45.57 4.08 0.4202 . 709 SexRatio F2 400 53.54 3.97 1.0000 . 710 SexRatio F2 1000 52.95 4.08 0.9998 0.8628 711 Day14fE2 F2 0 9.57 3.09 _ . 712 Day14fE2 F2 64 8.58 3.09 0.9981 . 713 Day14fE2 F2 160 14.96 3.09 0.5630 . 714 Day14fE2 F2 400 21.94 3.09 0.0355 . 715 Day14fE2 F2 1000 10.73 3.45 0.9972 0.1040 716 Day14fT F2 0 4.68 1.83 _ . 717 Day14fT F2 64 3.90 1.83 0.9942 . 718 Day14fT F2 160 4.96 1.83 0.9999 . 719 Day14fT F2 400 8.35 1.83 0.4437 . 720 Day14fT F2 1000 6.20 2.04 0.9494 0.2977 721 Day14fT3 F2 0 1.23 0.24 _ . 722 Day14fT3 F2 64 1.03 0.24 0.9251 . 723 Day14fT3 F2 160 1.15 0.24 0.9974 . 724 Day14fT3 F2 400 1.67 0.24 0.4983 . 725 Day14fT3 F2 1000 1.19 0.24 0.9997 0.6326 726 Day14fT4 F2 0 2.66 0.94 _ . 727 Day14fT4 F2 64 2.78 0.94 0.9999 . 728 Day14fT4 F2 160 2.30 0.94 0.9962 . 729 Day14fT4 F2 400 1.43 0.94 0.7663 . 730 Day14fT4 F2 1000 3.42 0.94 0.9425 0.9604Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 41 - Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 731 Day14mE2 F2 0 5.75 2.18 _ . 732 Day14mE2 F2 64 7.75 2.18 0.9130 . 733 Day14mE2 F2 160 6.11 2.18 0.9998 . 734 Day14mE2 F2 400 9.06 2.18 0.6643 . 735 Day14mE2 F2 1000 6.30 2.18 0.9992 0.8656 736 Day14mT F2 0 6.62 1.90 _ . 737 Day14mT F2 64 3.90 1.90 0.3881 . 738 Day14mT F2 160 9.16 1.90 0.9848 . 739 Day14mT F2 400 6.88 1.90 0.9999 . 740 Day14mT F2 1000 6.70 1.90 0.9974 0.7249 741 Day14mT3 F2 0 0.57 0.25 _ . 742 Day14mT3 F2 64 1.55 0.25 0.0360 . 743 Day14mT3 F2 160 0.99 0.25 0.5749 . 744 Day14mT3 F2 400 1.39 0.25 0.0902 . 745 Day14mT3 F2 1000 1.01 0.25 0.5468 0.4733 746 Day14mT4 F2 0 2.99 1.13 _ . 747 Day14mT4 F2 64 1.72 1.13 0.8446 . 748 Day14mT4 F2 160 5.64 1.13 0.3127 . 749 Day14mT4 F2 400 1.73 1.13 0.8490 . 750 Day14mT4 F2 1000 3.35 1.26 0.9984 0.8724 751 AfE2 F0 0 18.03 3.06 _ . 752 AfE2 F0 64 19.83 3.06 0.9808 . 753 AfE2 F0 160 14.76 3.06 0.8627 . 754 AfE2 F0 400 15.46 3.06 0.9343 . 755 AfE2 F0 1000 16.19 3.06 0.9791 0.4443 756 AfE2 F1 0 14.82 2.84 _ . 757 AfE2 F1 64 10.84 2.84 0.7207 . 758 AfE2 F1 160 16.37 2.84 0.9852 . 759 AfE2 F1 400 15.64 2.84 0.9987 . 760 AfE2 F1 1000 15.31 2.84 0.9998 0.5662 761 AfT F0 0 317.66 115.67 _ . 762 AfT F0 64 478.19 115.67 0.2635 . 763 AfT F0 160 73.61 115.67 0.2130 . 764 AfT F0 400 324.97 115.67 0.9533 . 765 AfT F0 1000 265.24 115.67 0.9979 0.8296Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 42 -

Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 766 AfT F1 0 392.22 142.49 _ . 767 AfT F1 64 382.27 142.49 0.5828 . 768 AfT F1 160 369.58 142.49 0.8697 . 769 AfT F1 400 336.66 142.49 0.7750 . 770 AfT F1 1000 199.55 142.49 0.5282 0.4159 771 AfT3 F0 0 1.03 0.12 _ . 772 AfT3 F0 64 0.80 0.12 0.3922 . 773 AfT3 F0 160 0.75 0.12 0.4175 . 774 AfT3 F0 400 0.82 0.12 0.5854 . 775 AfT3 F0 1000 0.64 0.12 0.1105 0.0769 776 AfT3 F1 0 0.76 0.11 _ . 777 AfT3 F1 64 0.71 0.10 0.9510 . 778 AfT3 F1 160 1.18 0.10 0.0458 . 779 AfT3 F1 400 1.19 0.11 0.1110 . 780 AfT3 F1 1000 0.98 0.10 0.2846 0.0548 781 AfT4 F0 0 3.33 1.37 _ . 782 AfT4 F0 64 4.03 1.37 0.9883 . 783 AfT4 F0 160 5.86 1.37 0.5073 . 784 AfT4 F0 400 3.35 1.37 1.0000 . 785 AfT4 F0 1000 2.90 1.37 0.9982 0.7704 786 AfT4 F1 0 2.59 1.13 _ . 787 AfT4 F1 64 1.44 1.13 0.8786 . 788 AfT4 F1 160 4.91 1.13 0.4159 . 789 AfT4 F1 400 4.45 1.13 0.5999 . 790 AfT4 F1 1000 5.69 1.13 0.1929 0.0153 791 AmE2 F0 0 3.80 1.13 _ . 792 AmE2 F0 64 4.27 1.13 0.9945 . 793 AmE2 F0 160 8.60 1.13 0.0235 . 794 AmE2 F0 400 3.29 1.13 0.9932 . 795 AmE2 F0 1000 3.79 1.13 1.0000 0.7021 796 AmE2 F1 0 10.14 2.33 _ . 797 AmE2 F1 64 3.74 2.33 0.1959 . 798 AmE2 F1 160 3.80 2.33 0.2020 . 799 AmE2 F1 400 6.84 2.33 0.7156 . 800 AmE2 F1 1000 3.93 2.33 0.2163 0.7921Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 43 -

Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 801 AmT F0 0 1151.09 637.19 _ . 802 AmT F0 64 2715.29 637.19 0.5645 . 803 AmT F0 160 1820.51 637.19 0.9747 . 804 AmT F0 400 1512.84 637.19 0.9747 . 805 AmT F0 1000 1683.99 637.19 0.8739 0.7742 806 AmT F1 0 478.44 404.77 _ . 807 AmT F1 64 625.85 404.77 0.8939 . 808 AmT F1 160 1004.41 404.77 0.2645 . 809 AmT F1 400 888.73 404.77 0.7418 . 810 AmT F1 1000 2574.34 404.77 0.0042 0.0041 811 AmT3 F0 0 1.02 0.11 _ . 812 AmT3 F0 64 0.83 0.11 0.5902 . 813 AmT3 F0 160 1.27 0.11 0.3311 . 814 AmT3 F0 400 0.66 0.11 0.0973 . 815 AmT3 F0 1000 0.77 0.11 0.3270 0.1968 816 AmT3 F1 0 0.62 0.17 _ . 817 AmT3 F1 64 0.53 0.20 0.9895 . 818 AmT3 F1 160 0.87 0.17 0.6929 . 819 AmT3 F1 400 0.84 0.17 0.7689 . 820 AmT3 F1 1000 1.23 0.15 0.0594 0.0058 821 AmT4 F0 0 3.18 1.89 _ . 822 AmT4 F0 64 6.70 1.89 0.5009 . 823 AmT4 F0 160 7.48 1.89 0.3323 . 824 AmT4 F0 400 6.30 1.89 0.5995 . 825 AmT4 F0 1000 1.74 1.89 0.9518 0.5138 826 AmT4 F1 0 1.83 0.85 _ . 827 AmT4 F1 64 0.92 0.85 0.8598 . 828 AmT4 F1 160 3.34 0.85 0.5402 . 829 AmT4 F1 400 3.97 0.85 0.2518 . 830 AmT4 F1 1000 3.15 0.85 0.6435 0.0691 831 YolkE2 F0 0 47.77 5.46 _ . 832 YolkE2 F0 64 25.51 5.46 0.0336 . 833 YolkE2 F0 160 28.61 5.46 0.0754 . 834 YolkE2 F0 400 44.58 5.46 0.9822 . 835 YolkE2 F0 1000 39.61 7.05 0.7788 0.9133Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 44 -

Table 3 (Continued) Results of Statistical Analyses

Obs Variable Generation Group Mean Std Err Dunnett p JT p 836 YolkE2 F1 0 43.91 8.12 _ . 837 YolkE2 F1 64 43.09 8.12 1.0000 . 838 YolkE2 F1 160 25.92 8.12 0.3562 . 839 YolkE2 F1 400 23.29 8.12 0.2487 . 840 YolkE2 F1 1000 24.77 8.12 0.3056 0.0488 841 YolkT F0 0 2685.20 745.07 _ . 842 YolkT F0 64 4019.44 745.07 0.7187 . 843 YolkT F0 160 2573.83 745.07 1.0000 . 844 YolkT F0 400 2209.49 745.07 0.9640 . 845 YolkT F0 1000 3580.22 961.88 0.8114 1.0000 846 YolkT F1 0 1971.18 408.19 _ . 847 YolkT F1 64 2727.88 408.19 0.9076 . 848 YolkT F1 160 1753.53 408.19 0.9640 . 849 YolkT F1 400 1855.57 408.19 0.9949 . 850 YolkT F1 1000 1651.73 408.19 0.8889 0.2929Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 45 -

Table 4 Summary of Statistical Analyses

Obs Variable Name Generation N a of Dunnett p < 0.05 N b of JT p < 0.05 Both c

1 bwF0 F0 0 0 0 2 bwF0 F1 0 0 0 3 bwF56 F0 0 0 0 4 bwF56 F1 0 0 0 5 bwm0 F0 0 0 0 6 bwm0 F1 0 0 0 7 bwm56 F0 0 0 0 8 bwm56 F1 0 0 0 9 offbw0 F1 0 0 0 10 offbw0 F2 0 0 0 11 offbw14 F1 0 0 0 12 offbw14 F2 0 0 0 13 AdultFC1 F0 0 0 0 14 AdultFC1 F1 0 0 0 15 AdultFC2 F0 0 0 0 16 AdultFC2 F1 0 0 0 17 AdultFC3 F0 0 0 0 18 AdultFC3 F1 0 0 0 19 AdultFC4 F0 0 0 0 20 AdultFC4 F1 0 0 0 21 AdultFC5 F0 0 0 0 22 AdultFC5 F1 0 0 0 23 AdultFC6 F0 0 0 0 24 AdultFC6 F1 0 0 0 25 AdultFC7 F0 0 0 0 26 AdultFC7 F1 0 0 0 27 AdultFC8 F0 0 0 0 28 AdultFC8 F1 0 0 0 29 AdultFC9 F0 1 1 1 30 AdultFC9 F1 0 0 0 31 Laid F0 0 0 0 32 Laid F1 0 0 0

a Number of p-values from Dunnett’s test that were < 0.05

a Value is 1 if the Jonkheere-Terprs tra trend test p-value was < 0.05

c Both = Y if there was at least on e Dunnett p-value < 0.05, and the Jonkheere-Terpstra trend test p-value was also < 0.05. Otherwise Both = N.Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 46 - Table 4 (Continued) Summary of Statistical Analyses

Obs Variable Name Generation N of Dunnett p < 0.05 N of JT p < 0.05 Both 33 Laid_Hen_Day F0 1 0 0 34 Laid_Hen_Day F1 0 0 0 35 Crack F0 0 0 0 36 Crack F1 0 0 0 37 Crack_Laid F0 0 0 0 38 Crack_Laid F1 0 0 0 39 Abnormal F0 0 0 0 40 Abnormal F1 0 0 0 41 Abnorm_Laid F0 0 0 0 42 Abnorm_Laid F1 0 0 0 43 FGSet F0 0 0 0 44 FGSet F1 0 0 0 45 EFGSet F0 0 0 0 46 EFGSet F1 0 0 0 47 FGFert F0 0 0 0 48 FGFert F1 0 0 0 49 FGFert_Set F0 0 0 0 50 FGFert_Set F1 0 0 0 51 EFGFert F0 0 0 0 52 EFGFert F1 0 0 0 53 EFGFert_Set F0 0 0 0 54 EFGFert_Set F1 0 0 0 55 FGViable F0 0 0 0 56 FGViable F1 0 0 0 57 FGVia_Set F0 0 0 0 58 FGVia_Set F1 0 0 0 59 EFGVia F0 0 0 0 60 EFGVia F1 0 0 0 61 EFGVia_Set F0 0 0 0 62 EFGVia_Set F1 0 0 0 63 FG2Wk F0 0 0 0 64 FG2Wk F1 0 0 0Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 47 - Table 4 (Continued) Summary of Statistical Analyses

Obs Variable Name Generation N of Dunnett p < 0.05 N of JT p < 0.05 Both 65 FG2Wk_Via F0 0 0 0 66 FG2Wk_Via F1 1 0 0 67 EFG2Wk F0 0 0 0 68 EFG2Wk F1 0 0 0 69 EFG2Wk_Via F0 0 0 0 70 EFG2Wk_Via F1 1 0 0 71 FGHatch F0 0 0 0 72 FGHatch F1 0 0 0 73 FGHatch_2Wk F0 0 0 0 74 FGHatch_2Wk F1 0 0 0 75 FG14Day F0 0 0 0 76 FG14Day F1 0 0 0 77 FG14Day_Hatch F0 0 0 0 78 FG14Day_Hatch F1 0 0 0 79 FGHatch_Set F0 0 0 0 80 FGHatch_Set F1 0 0 0 81 FGHatch_Fert F0 0 0 0 82 FGHatch_Fert F1 0 0 0 83 FG14Day_Set F0 0 0 0 84 FG14Day_Set F1 0 0 0 85 FGHatch_H_D F0 0 0 0 86 FGHatch_H_D F1 0 0 0 87 FG14Day_H_D F0 0 0 0 88 FG14Day_H_D F1 0 0 0 89 EggShellThick F0 0 0 0 90 EggShellThick F1 0 0 0 91 EggWtAlb F0 0 0 0 92 EggWtAlb F1 0 0 0 93 EggWtYolk F0 0 0 0 94 EggWtYolk F1 0 0 0 95 EggWtComb F0 0 0 0 96 EggWtComb F1 0 0 0Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 48 - Table 4 (Continued) Summary of Statistical Analyses

Obs Variable Name Generation N of Dunnett p < 0.05 N of JT p < 0.05 Both 97 AgeFoam F1 0 0 0 98 AgeEgg F1 0 0 0 99 CloacaF4 F1 0 0 0 100 CloacaF5 F1 0 0 0 101 CloacaF6 F1 0 0 0 102 CloacaM4 F1 0 0 0 103 CloacaM5 F1 0 0 0 104 CloacaM6 F1 0 0 0 105 CloCon1 F1 0 0 0 106 CloCon1 F2 0 0 0 107 CloCon2 F1 0 0 0 108 CloCon2 F2 0 0 0 109 CloCon3 F1 1 0 0 110 CloCon3 F2 0 0 0 111 ChangeCC F1 0 0 0 112 ChangeCC F2 0 0 0 113 CrowFluff1 F1 3 1 1 114 CrowFluff1 F2 0 0 0 115 CrowFluff2 F1 0 0 0 116 CrowFluff2 F2 0 0 0 117 CrowFluff3 F1 0 0 0 118 CrowFluff3 F2 0 0 0 119 ChangeCF F1 1 1 1 120 ChangeCF F2 0 0 0 121 Mount1 F1 0 1 0 122 Mount1 F2 0 0 0 123 Mount2 F1 0 0 0 124 Mount2 F2 0 0 0 125 Mount3 F1 0 0 0 126 Mount3 F2 0 0 0 127 ChangeMt F1 0 0 0 128 ChangeMt F2 0 0 0Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 49 -

Table 4 (Continued) Summary of Statistical Analyses

Obs Variable Name Generation N of Dunnett p < 0.05 N of JT p < 0.05 Both 129 Attempts1 F1 0 0 0 130 Attempts1 F2 0 0 0 131 Attempts2 F1 1 0 0 132 Attempts2 F2 0 0 0 133 Attempts3 F1 0 0 0 134 Attempts3 F2 0 0 0 135 ChangeAt F1 1 0 0 136 ChangeAt F2 0 0 0 137 NeckGrab1 F1 0 0 0 138 NeckGrab1 F2 0 0 0 139 NeckGrab2 F1 0 0 0 140 NeckGrab2 F2 0 0 0 141 NeckGrab3 F1 0 0 0 142 NeckGrab3 F2 0 0 0 143 ChangeNG F1 0 0 0 144 ChangeNG F2 0 0 0 145 ThyF214DayM F2 1 0 0 146 ThyF214DayF F2 1 0 0 147 ThyAdultMale F0 1 0 0 148 ThyAdultMale F1 1 1 1 149 ThyAdultFemale F0 0 0 0 150 ThyAdultFemale F1 0 0 0 151 ThyWtED15 F1 0 0 0 152 ThyWtED15 F2 0 0 0 153 SexRatio F1 0 0 0 154 SexRatio F2 0 0 0 155 Day14fE2 F2 1 0 0 156 Day14fT F2 0 0 0 157 Day14fT3 F2 0 0 0 158 Day14fT4 F2 0 0 0 159 Day14mE2 F2 0 0 0 160 Day14mT F2 0 0 0Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 50 - Table 4 (Continued) Summary of Statistical Analyses

Obs Variable Name Generation N of Dunnett p < 0.05 N of JT p < 0.05 Both 161 Day14mT3 F2 1 0 0 162 Day14mT4 F2 0 0 0 163 AfE2 F0 0 0 0 164 AfE2 F1 0 0 0 165 AfT F0 0 0 0 166 AfT F1 0 0 0 167 AfT3 F0 0 0 0 168 AfT3 F1 1 0 0 169 AfT4 F0 0 0 0 170 AfT4 F1 0 1 0 171 AmE2 F0 1 0 0 172 AmE2 F1 0 0 0 173 AmT F0 0 0 0 174 AmT F1 1 1 1 175 AmT3 F0 0 0 0 176 AmT3 F1 0 1 0 177 AmT4 F0 0 0 0 178 AmT4 F1 0 0 0 179 YolkE2 F0 1 0 0 180 YolkE2 F1 0 1 0 181 YolkT F0 0 0 0 182 YolkT F1 0 0 0Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 51 -

Table 5 Bejamini-Hochberg Procedure Applied to Resu lts of The Jonkheere-Terpstra Trend Test

p i m Q D 0.0008 1 182 0.2 0.0011 0.0041 2 182 0.2 0.0022 0.0058 3 182 0.2 0.0033 0.0153 4 182 0.2 0.0044 0.0162 5 182 0.2 0.0055 0.0212 6 182 0.2 0.0066 0.0236 7 182 0.2 0.0077 0.0378 8 182 0.2 0.0088 0.0488 9 182 0.2 0.0099 0.0548 10 182 0.2 0.0110 0.0604 11 182 0.2 0.0121 0.0670 12 182 0.2 0.0132 0.0691 13 182 0.2 0.0143 0.0769 14 182 0.2 0.0154 0.0989 15 182 0.2 0.0165 0.0999 16 182 0.2 0.0176 0.1040 17 182 0.2 0.0187 0.1109 18 182 0.2 0.0198 0.1230 19 182 0.2 0.0209 0.1268 20 182 0.2 0.0220 0.1299 21 182 0.2 0.0231 0.1471 22 182 0.2 0.0242 0.1635 23 182 0.2 0.0253 0.1713 24 182 0.2 0.0264 0.1725 25 182 0.2 0.0275

The table contains the 25 lowest p- values from th e Jonkheere-Terpstra trend tests performed. Only one p- value (0.0008) is significant according to the Bejamini-Hochberg Procedure if the False Discovery Rate is set to Q = 0.2. The procedure is as follows:

(1) Individual p-values have been placed in order, from smallest to largest. (2) Rank the p-values so that the smallest p-value has rank of i = 1. (3) Compare each individual p-value to to D = (i/m)Q, where m is the total number of tests (182) and Q is the chosen false discovery rate. (4) The largest p-value that has p < (i/m)Q is cons idered significant, and all smaller p-values are also considered significant.Smithers-Viscient LLC Study Number: 13888.4106 Wildlife International Project Number: 185-133-2

- 52 -

Table 6 Bejamini-Hochberg Procedure Applie d to Results of Dunnett’s Test

p i m Q D 1.0E-05 1 182 0.2 0.0011

0.0008 2 182 0.2 0.0022 0.0042 3 182 0.2 0.0033 0.0075 4 182 0.2 0.0044 0.0090 5 182 0.2 0.0055 0.0172 6 182 0.2 0.0066 0.0205 7 182 0.2 0.0077 0.0212 8 182 0.2 0.0088 0.0213 9 182 0.2 0.0099 0.0235 10 182 0.2 0.0110 0.0241 11 182 0.2 0.0121 0.0265 12.5 182 0.2 0.0137 0.0265 12.5 182 0.2 0.0137 0.0336 14 182 0.2 0.0154 0.0341 15 182 0.2 0.0165 0.0355 16 182 0.2 0.0176 0.0360 17 182 0.2 0.0187 0.0372 18 182 0.2 0.0198 0.0409 19 182 0.2 0.0209 0.0439 20 182 0.2 0.0220 0.0458 21 182 0.2 0.0231 0.0572 22 182 0.2 0.0242 0.0594 23 182 0.2 0.0253 0.0624 24.5 182 0.2 0.0269 0.0624 24.5 182 0.2 0.0269

The table contains the 25 lowest p- values from the Dunnett’ tests performed. Only two p- values (those less than or equal to 0.0008 ) are significan t according to the Bejamini-Hochberg Procedure if the False Discovery Rate is set to Q = 0.2 The procedure is as follows:

(1) Individual p-values have been placed in order, from smallest to largest. (2) Rank the p-values so that the smallest p-value has rank of i = 1. (3) Compare each individual p-value to to D = (i/m)Q, where m is the total number of tests and Q is the chosen false discovery rate. In this case m is adjusted to be equal to the number of Dunnett’s tests (182), not of the number of individual comparisons to the negative control, as p-values have already been modified by Dunnett’s test. (4) The largest p-value that has p < (i/m)Q is cons idered significant, and all smaller p-values are also considered significant.