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Table 3 Generalized mixed-effect model (GLMM) analyses discovering manipulating effects influencing the error rate of male and female meiosis and sporogenesis in Ranunculus with regard to ploidy level, generation and sex. Calculations were based on 115 Ranunculus plants and more than 13,000 individual data points. Statistical computation procedure in R is depicted. Regression estimate and p value are calculated by GLMM analysis as the tested factor is referred to the test and base line categories. *p < 0.05, **p < 0.01, ***p < 0.001 for statistical significance of the test. For more detailed statistical info see Supplementary Data Table S2

From: The relation of meiotic behaviour to hybridity, polyploidy and apomixis in the Ranunculus auricomus complex (Ranunculaceae)

Subset

n

Tested factor(s)

Base line categories

Test categories

GLMM Regression Estimate

p value

Male

9193

ploidy level

2x

4x

2.19

***

generation

F2

P

- 0.77

*

F1

- 0.63

**

combined

effect

2x, F2

4x, P

- 0.88

0.08

4x, F1

- 0.60

0.09

Female

3660

ploidy level

2x

4x

0.17

0.46

Male/ Female

7438

ploidy level

2x

4x

0.17

0.46

sex

female

male

- 2.44

***

combined effect

2x, female

4x, male

2.02

***