Determination of the surface area of a fish

O'Shea, Bríd; Mordue-Luntz, A Jenny; Fryer, R. J.; Pert, Campbell C.; Bricknell, Ian

doi:10.1111/j.1365-2761.2006.00728.x

Cited by 45 publications

(45 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using this formula, three Yellow‐river carp were used to test whether the fish surface area was a good estimation. The largest difference (4.75%) between true values and calculated values estimated by this formula was less than the 5.65% obtained by O’Shea et al (2006), and much less than the 16.09%, 28.77% and 47.62% obtained by Hamre, Jaworski and Holm, and Tucker et al., respectively (in O’Shea et al, 2006). To test whether this model was useful in estimating surface areas of other strains of common carp, three types were chosen: fancy carp, mirror carp and Xingguo red carp.…”

Section: Discussioncontrasting

confidence: 52%

“…Although the computed fin area was exact, the image analysis values were of limited accuracy in calculating the body area of a two‐dimensional object. O’Shea et al (2006) devised a method of taking the three‐dimensional shape into account, producing a mathematical equation for a wider range of fish sizes and allowing estimation of the surface area of a fish of a known weight; however, it seemed laborious and readily error‐prone to measure the fish surface area using this protocol.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determination of the surface area of common carp,Cyprinus carpioL.

Ling

Wang

et al. 2008

Journal of Applied Ichthyology

View full text Add to dashboard Cite

SummaryA wrap method adaptation combined with AutoCAD2005 and Scion Image for Windows were used to determine the surface area of a fish. Compared with the corresponding r 2 and F of many models, the most accurate formula: S = 752.15W 0.675 (r 2 = 0.999, F = 18362.94, P < 0.0001) for estimating the surface area of common carp was obtained. Similarly, the fin formula: S = 1834.12W 0.708 (r 2 = 0.992, F = 2690.47, P < 0.0001) was also obtained for the same purpose. It was proven that these two formulae gave good estimates of surface and fin areas of four strains of common carp: Yellow-river carp, fancy carp, mirror carp and Xingguo red carp.

show abstract

Section: Discussioncontrasting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Determination of the surface area of common carp,Cyprinus carpioL.

Ling

Wang

et al. 2008

Journal of Applied Ichthyology

View full text Add to dashboard Cite

show abstract

“…We also found that relative lice density (number of lice per gram body weight) was higher on smaller fish than on their larger counterparts. The debate over whether to use length or weight to estimate parasite burdens remains unresolved in the literature but the general consensus is that surface area is the best measure, at least for external parasites such as lice, and weight correlates more closely with this variable than length in the majority of cases (O'Shea et al 2006). Poulin and FitzGerald (1987) concluded that A. funduli Krryer (incorrectly identified as A. canadensis Wilson; see Poulin 1999a) were not size selective in their attachment to sticklebacks.…”

Section: Discussionmentioning

confidence: 99%

“…However, accurately measuring this parameter for large numbers of fish under field conditions is typically not practical and therefore other measures of size are frequently used instead. We chose weight as this parameter correlates with surface area to a higher degree than standard length for fish according to Tucker et al (2002) and O'Shea et al (2006).…”

Section: Discussionmentioning

confidence: 99%

Effect of host weight on the distribution of Argulus foliaceus (L.) (Crustacea, Branchiura) within a fish community

Walker¹,

Harris

Velde³

et al. 2008

Acta Parasitologica

View full text Add to dashboard Cite

Spatial heterogeneity is a feature common to many ecosystems. Aquatic organisms typically exhibit this heterogeneous distribution but to date little is known about the distribution of many common parasite species within water bodies. In this study the distribution of Argulus foliaceus (L.), an ectoparasitic crustacean, on different sized hosts within a mixed species fish community was determined. Different fish species exhibited differences in their louse burdens (prevalence and intensity). The highest prevalence of A. foliaceus was observed on fish species dominated by larger individuals (i.e. Cyprinus carpio, Abramis brama and Tinca tinca). C. carpio and A. brama also exhibited the highest mean louse intensities. Infested fish were generally heavier than uninfested conspecifics. Differences in the weight of uninfested and infested fish were significant (P<0.05) for the whole fish community samples and the Scardinius erythrophthalmus, A. brama and C. carpio samples. There was also a general pattern of increasing infestation intensity with an increase in host body weight, with significant correlations for the whole fish community for S. erythrophthalmus, A. brama and C. carpio samples. In addition there were significant differences in parasite prevalence and intensity between different host weight groups and larger (heavier) fish appeared to be more prone to infestation by A. foliaceus.

show abstract

“…Individual mass (g) was estimated using age-class growth rates for farmed Atlantic salmon [55] at 8°C average sea temperature. Average individual surface area (cm 2 ), was estimated from mass, using a surface area formula for hatchery-reared Atlantic salmon, AREA = 14.93(MASS) 0.59 [56]. The cohort surface area in each month was the product of the estimated surface area per farmed salmon and the number of farmed salmon per cohort.…”

Section: Methodsmentioning

confidence: 99%

Modeling Parasite Dynamics on Farmed Salmon for Precautionary Conservation Management of Wild Salmon

Rogers

Peacock

McKenzie³

et al. 2013

PLoS ONE

View full text Add to dashboard Cite

Conservation management of wild fish may include fish health management in sympatric populations of domesticated fish in aquaculture. We developed a mathematical model for the population dynamics of parasitic sea lice (Lepeophtheirus salmonis) on domesticated populations of Atlantic salmon (Salmo salar) in the Broughton Archipelago region of British Columbia. The model was fit to a seven-year dataset of monthly sea louse counts on farms in the area to estimate population growth rates in relation to abiotic factors (temperature and salinity), local host density (measured as cohort surface area), and the use of a parasiticide, emamectin benzoate, on farms. We then used the model to evaluate management scenarios in relation to policy guidelines that seek to keep motile louse abundance below an average three per farmed salmon during the March–June juvenile wild Pacific salmon (Oncorhynchus spp.) migration. Abiotic factors mediated the duration of effectiveness of parasiticide treatments, and results suggest treatment of farmed salmon conducted in January or early February minimized average louse abundance per farmed salmon during the juvenile wild salmon migration. Adapting the management of parasites on farmed salmon according to migrations of wild salmon may therefore provide a precautionary approach to conserving wild salmon populations in salmon farming regions.

show abstract

Determination of the surface area of a fish

Cited by 45 publications

References 10 publications

Determination of the surface area of common carp,Cyprinus carpioL.

Determination of the surface area of common carp,Cyprinus carpioL.

Effect of host weight on the distribution of Argulus foliaceus (L.) (Crustacea, Branchiura) within a fish community

Modeling Parasite Dynamics on Farmed Salmon for Precautionary Conservation Management of Wild Salmon

Contact Info

Product

Resources

About