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1209 177411 223220 185118 300340 302408 371330 373292 344337 268227 307287 184318 207213 327304 351317 346214 32849 176211 354310 359339 180262 332334 422249 33136 172312 294438 416291 224439 93336 356442 174301 440251 181343 396216 290433 314417 309338 175434 36252 179208 437205 3453 88333 36195 4212 5850 321342 325349 35848 167441 355210 326341 295206 436

Inferred random effects

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10 12 14 16 18 20

Average fly emergence

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Standard normal quantiles

(A) (B)

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Figure S2. Statistical analysis with GLMM to identify candidate accessions. (A) Inferred random effects of accessions on emergence probability are estimated in a logistic regression model (GLMM).

The effect of fruit diameter is measured as a separate coefficient, thus the inferred effects shown here are given by the characters of the accession except its fruit diameter. Ten accessions showing strongest negative effects on emergence probability were tested again in 2016 and are denoted by red color. Grey dots, random effects for the accessions. The bars present 95% confidence interval (without multiple-testing correction). (B) The average fruit diameter was plotted against the average fly emergence of all 107 accessions, as an alternative graphical representation to the GLMM model that were fitted with average fruit diameter and fly emergence. Accessions marked with red are the same candidate accessions in (A). (C) Quantiles of the inferred random effects with standard error bars plotted against the normal distribution quantiles, indicating that the distribution of the random effects is sufficiently close to normality.

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