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

Imene Belgaid; Lamri Nacef; Zakia Alioua; Nour-El-Islam Bachari

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

Imene Belgaid

Lamri Nacef

Zakia Alioua

oraz

Nour-El-Islam Bachari

| 07 lis 2022

Oceanological and Hydrobiological Studies

Tom 51 (2022): Zeszyt 3 (September 2022)

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Article Category: Original research paper

Data publikacji: 07 lis 2022

Zakres stron: 239 - 256

Otrzymano: 03 lip 2022

Przyjęty: 06 paź 2022

DOI: https://doi.org/10.26881/oahs-2022.3.01

Słowa kluczowe
Mediterranean mussel, farming, production, recruitment, Algeria

© 2022 Imene Belgaid et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Study area location and sampling stations

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

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

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

Average physical product with three sizes of spat

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

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

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)

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 – 30	30 – 60	>60	Ain Tagourait	Study site	Tenes	Tlemcen
P-value	< 0.0001	< 0.0001	0.003	0.810	0.682	0.537	0.406
Estimated means	2.189 ± 0.07	1.276 ± 0.04	0.949 ± 0.09	1.401 ± 0.13	1.450 ± 0.06	1.261 ± 0.14	1.595 ± 0.09
Groups	A	B	C	A	A	A	A

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 – 30	30 – 60	Study site	Tenes	Tlemcen
P-value	< 0.0001	< 0.0001	0.001	0.001	0.001
Estimated means	14.539 ± 0.415	11.430 ± 0.256	12.221 ± 0.265	10.107 ± 0.571	14.393 ± 0.526
Groups	A	B	B	C	A

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

		df	SS	MS	F	P
Spat Sources : Study site; Tlemcen; Tenes	Total weight of mussels (g)	2	1730.454	865.227	15.325	< 0.0001
	Percentage edibility (PE)		0.090	0.045	4,101	0.017
	Condition index (CI)		0.316	0.158	1.188	0.305
	Shell thickness index (STI)		7.557	3.779	8.61	<0.0001
Seed-size of spat (mm)10 – 3030 – 60	Total weight of mussels (g)	1	2275.739	2275,739	40.676	< 0.0001
	Percentage edibility (PE)		0.493	0.493	35.898	< 0.0001
	Condition index (CI)		13.195	13.195	32.190	< 0.0001
	Shell thickness index (STI)		3.992	3.992	9.06	0.003

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

		df	SS	MS	F	P
Spat Sources :Study site; Ain Tagourait; Tlemcen; Tenes	Overall production (APP)	3	2.445	0.815	1.640	0.180
	Gain biomass (%)		13.278	4.426	10.581	< 0.0001
	Losses (%)		0.395	0.132	7.857	< 0.0001
Seed-size of spat (mm)10 – 30; 30 – 60; >60	Overall production (APP)	2	54.522	27.261	87.960	< 0.0001
	Gain biomass (%)		38.029	19.015	62.683	< 0.0001
	Losses (%)		0.072	0.036	1.639	0.203

eISSN:: 1897-3191
Język:: Angielski

Częstotliwość wydawania:: 4 razy w roku
Dziedziny czasopisma:: Chemistry, other, Geosciences, Life Sciences

Kanał RSS czasopisma

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

Article Category: Original research paper

Data publikacji: 07 lis 2022

Zakres stron: 239 - 256

Otrzymano: 03 lip 2022

Przyjęty: 06 paź 2022

DOI: https://doi.org/10.26881/oahs-2022.3.01

Słowa kluczowe
Mediterranean mussel, farming, production, recruitment, Algeria

© 2022 Imene Belgaid et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

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Figure 9

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)

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)

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

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

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

Article Category: Original research paper

Data publikacji: 07 lis 2022

Zakres stron: 239 - 256

Otrzymano: 03 lip 2022

Przyjęty: 06 paź 2022

DOI: https://doi.org/10.26881/oahs-2022.3.01

Słowa kluczoweMediterranean mussel, farming, production, recruitment, Algeria

© 2022 Imene Belgaid et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Figure 9

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)

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)

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

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

Słowa kluczowe
Mediterranean mussel, farming, production, recruitment, Algeria