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Fig 1.

Phenotype variability in Eurasian coot eggs.

Five example eggs from different clutches. Differences in colour, spottiness, shape and size are very subtle and hardly perceptible by human eye.

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Fig 1 Expand

Table 1.

List and description of the 27 variables calculated by SpotEgg software to characterise egg phenotype.

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Table 1 Expand

Table 2.

Comparison of the accuracy (%) reached by the 12 Support Vector Machines run using a different number of training eggs and sets of explanatory variables.

The percentage of egg classification by random (random accuracy) was 1.1%.

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Table 2 Expand

Fig 2.

Variable importance (%) in the best Support Vector Machine (SVM).

Best SVM contained 27 variables and 4 training eggs. Colours group related egg features (ochre: coloration; blue: size and shape; black: spottiness).

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Fig 2 Expand

Table 3.

Real and simulated Intraclutch Correlation Coefficients (ICC) for egg variables calculated by SpotEgg.

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Table 3 Expand