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Table 1 Multi-regression (MRDM) and commonality analyses (CA) results after having successively removed all suppressors

From: Split it up and see: using proxies to highlight divergent inter-populational performances in aquaculture standardised conditions

KTA

R2 MRDM

CA

Proxy

r

β

U

C

Survival rate

0.432*

Genetic

0.505

0.874

–

–

Swim bladder inflation rate

0.399*

Genetic

0.631

0.638

–

–

Deformity rate

0.223*

Geographic

0.350

0.030

0

0.122

Genetic

0.193

0.038

0.001

0.036

Habitat

0.469

0.437

0.101

0.120

Specific growth rate

0.121*

Hydrologic

0.237

0.712

–

–

Initial length

0.224*

Genetic

0.472

0.500

–

–

Final length

0.023

Hydrologic

0.089

0.031

0.001

0.007

Habitat

0.108

0.088

0.005

0.007

Yolk sac volume

0.235*

Hydrologic

0.315

0.948

–

–

Activity

0.121*

Habitat

0.215

0.415

–

–

Inter-individual distances

0.199*

Geographic

0.348

0.069

0.001

0.120

Hydrologic

0.366

0.009

0

0.134

Genetic

0.407

0.319

0.057

0.109

Habitat

0.295

0.141

0.010

0.077

  1. Analyses were performed between each KTA-based distance matrix (response variable) and all proxy-based (genetic distance, habitat divergence, geographic distance and hydrologic distance proxies) distance matrices. Some KTA are only correlated with a single proxy which remained after suppressors’ removal. With: Pearson’s correlation coefficient (r), β weights (β), and unique (U) and common (C) contributions of proxies to the variance of the response variable. (*) indicates significant R2 associated with a p-value < 0.05 (after Benjamini–Hochberg correction)