Have a personal or library account? Click to login
How do mussel provenance and spat size affect mussel aquaculture performance in the South-Western Mediterranean (Algeria)? Cover

How do mussel provenance and spat size affect mussel aquaculture performance in the South-Western Mediterranean (Algeria)?

Open Access
|Nov 2022

Figures & Tables

Figure 1

Study area location and sampling stations
Study area location and sampling stations

Figure 2

Transplantation of M. galloprovincialis from different origins (Tlemcen, Tenes, Ain Tagourait and the study site) and sorting three spat sizes
Transplantation of M. galloprovincialis from different origins (Tlemcen, Tenes, Ain Tagourait and the study site) and sorting three spat sizes

Figure 3

Random sampling points of M. galloprovincialis from 21 droppers at the study site and the laboratory processing of individuals
Random sampling points of M. galloprovincialis from 21 droppers at the study site and the laboratory processing of individuals

Figure 4

The average physical product according to different sources and sizes of spat
The average physical product according to different sources and sizes of spat

Figure 5

Average physical product with three sizes of spat
Average physical product with three sizes of spat

Figure 6

Average gain and loss rate of mussel biomass according to the size of the spat
Average gain and loss rate of mussel biomass according to the size of the spat

Figure 7

Variation in the average physical product for the four sources of spat
Variation in the average physical product for the four sources of spat

Figure 8

Variation in the average physical product for the four sources of spat
Variation in the average physical product for the four sources of spat

Figure 9

Changes in marketability indices and the total weight of mussels sampled according to initial spat size over different shell lengths (a: total weight, b: percentage of edibility, c: condition index, d: shell thickness index)
Changes in marketability indices and the total weight of mussels sampled according to initial spat size over different shell lengths (a: total weight, b: percentage of edibility, c: condition index, d: shell thickness index)

Figure 9

Variation of marketability indices and the total weight of mussels sampled according to spat origin with shell lengths (a: total weight, b: percentage of edibility, c: condition index, d: shell thickness index)
Variation of marketability indices and the total weight of mussels sampled according to spat origin with shell lengths (a: total weight, b: percentage of edibility, c: condition index, d: shell thickness index)

Analysis of differences determined by Tukey's HSD test between modalities in mussel biomass production with 95% confidence intervals (significant results [p < 0_05] are in bold)

Overall production (APP)
Seed-size of spat (mm)Spat Sources
10 – 3030 – 60>60Ain TagouraitStudy siteTenesTlemcen
P-value< 0.0001< 0.00010.0030.8100.6820.5370.406
Estimated means2.189 ± 0.071.276 ± 0.040.949 ± 0.091.401 ± 0.131.450 ± 0.061.261 ± 0.141.595 ± 0.09
GroupsABCAAAA

Analysis of the differences determined by Tukey's HSD test between the modalities for mussels with 95% confidence intervals (significant results [p < 0_05] are in bold)

Total weight of mussels (g)
Seed-size of spat (mm)Spat Sources
10 – 3030 – 60Study siteTenesTlemcen
P-value< 0.0001< 0.00010.0010.0010.001
Estimated means14.539 ± 0.41511.430 ± 0.25612.221 ± 0.26510.107 ± 0.57114.393 ± 0.526
GroupsABBCA

Statistical analysis of variance of the marketability indices and total weight of mussels, sampled according to two initial seeding sizes and three origins of the seeded spat stocks

dfSSMSFP
Spat Sources : Study site; Tlemcen; TenesTotal weight of mussels (g)21730.454865.22715.325< 0.0001
Percentage edibility (PE)0.0900.0454,1010.017
Condition index (CI)0.3160.1581.1880.305
Shell thickness index (STI)7.5573.7798.61<0.0001
Seed-size of spat (mm)10 – 3030 – 60Total weight of mussels (g)12275.7392275,73940.676< 0.0001
Percentage edibility (PE)0.4930.49335.898< 0.0001
Condition index (CI)13.19513.19532.190< 0.0001
Shell thickness index (STI)3.9923.9929.060.003

Statistical analysis of variance of the average physical product of mussel plots according to the three initial seeding sizes and the four origins of the seeded spat stocks

dfSSMSFP
Spat Sources :Study site; Ain Tagourait; Tlemcen; TenesOverall production (APP)32.4450.8151.6400.180
Gain biomass (%)13.2784.42610.581< 0.0001
Losses (%)0.3950.1327.857< 0.0001
Seed-size of spat (mm)10 – 30; 30 – 60; >60Overall production (APP)254.52227.26187.960< 0.0001
Gain biomass (%)38.02919.01562.683< 0.0001
Losses (%)0.0720.0361.6390.203
DOI: https://doi.org/10.26881/oahs-2022.3.01 | Journal eISSN: 1897-3191 | Journal ISSN: 1730-413X
Language: English
Page range: 239 - 256
Submitted on: Jul 3, 2022
Accepted on: Oct 6, 2022
Published on: Nov 7, 2022
Published by: University of Gdańsk
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Imene Belgaid, Lamri Nacef, Zakia Alioua, Nour-El-Islam Bachari, published by University of Gdańsk
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.