Table 1 Length–weight relationships of albacore tuna according the equation weight (kg) = a*FLb from the non-linear least squares (NLS) form per geographic regions cases.

From: Connectivity and population structure of albacore tuna across southeast Atlantic and southwest Indian Oceans inferred from multidisciplinary methodology

Regions

n

a

Std. error (a)

b

Std. error (b)

R2

Analysis of covariance

A

269

5.9206 × 10–5

1.987 × 10–5

2.7747

7.259 × 10–2

0.8520

 

B

485

8.4869 × 10–5

1.648 × 10–5

2.7293

4.236 × 10–2

0.8950

C

302

2.0103 × 10–5

4.172 × 10–6

2.9846

4.619 × 10–2

0.9127

A-B

754

5.7418 × 10–4

1.474 × 10–4

2.3007

5.583 × 10–2

0.6983

Intercepts significant

A-C

571

5.1527 × 10–6

8.293 × 10–7

3.2983

3.507 × 10–2

0.9502

Intercepts significant

C-B

787

2.6044 × 10–6

6.102 × 10–7

3.4786

5.127 × 10–2

0.8719

Slopes and intercepts significant

A-B-C

1,056

1.2819 × 10–5

2.758 × 10–6

3.1212

4.691 × 10–2

0.8390

Slopes and intercepts significant

  1. n is the number of individuals, a the constant, b the allometric coefficient, R2 the coefficient of determination, and Std. Error the standard error. The last column summarizes the Analysis of Covariance (ANCOVA) with the linear model (General Linear Model, GLM) between geographic regions.
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