Stock identification is an interdisciplinary field that involves the recognition of self-sustaining components within populations and is a central theme in fisheries science and management. Characters used to identify fish stocks can be divided into three groups: those that are purely genetic, those that are purely environmental, and those that may reflect both genetic and environmental variation. Body shape is a difficult, but important, trait to quantify. Morphometric analysis provides a powerful complement to genetic and environmental stock identification approaches. We collected totally 2193 digitized images from the left side of 27 different stocks of Rainbow trout (O. mykiss), reared in 13 Trentino fisheries. Using TPS software package, 24 homologous landmarks were placed on each fish shape and rigor mortis arching effect was digitally corrected, then the landmark coordinates were adjusted using a generalized procrustes analysis (GPA). Finally we could emphasize the ontogenetic shape differences between samples. Afterwards the TPS output data (a points matrix) were analysed by NTsys statistical software, especially by a canonical variates analysis (CVA). CVA was preferred rather than principal component analysis (PCA) for simplifying descriptions between group differences. This method yielded evidence of morphological differences among different stocks, and within the same stock reared in different environmental condition. TPS software helped us to show these differences by a graphic method, in which the main variation axis is represented by the transition from a “lean” to a “fat” fish shape. In contrast, geometric morphometric method could be sensitive to artifices due to a wrong images acquisition procedure or rough sample displacement under the camera. More tests are necessary to proof the intraspecific discriminant power.

Geometric morphometrics: a method for Rainbow trout stocks identification in aquaculture / F. FACCENDA; R. BOZZI; G. PARISI; F. LUNELLI. - In: ITALIAN JOURNAL OF ANIMAL SCIENCE. - ISSN 1594-4077. - STAMPA. - Proceedings of the ASPA 19th Congress. Book of Abstract.:(2011), pp. 112-112. (Intervento presentato al convegno ASPA 19th Congress tenutosi a Cremona nel 7-10 giugno 2011).

Geometric morphometrics: a method for Rainbow trout stocks identification in aquaculture

BOZZI, RICCARDO;PARISI, GIULIANA;
2011

Abstract

Stock identification is an interdisciplinary field that involves the recognition of self-sustaining components within populations and is a central theme in fisheries science and management. Characters used to identify fish stocks can be divided into three groups: those that are purely genetic, those that are purely environmental, and those that may reflect both genetic and environmental variation. Body shape is a difficult, but important, trait to quantify. Morphometric analysis provides a powerful complement to genetic and environmental stock identification approaches. We collected totally 2193 digitized images from the left side of 27 different stocks of Rainbow trout (O. mykiss), reared in 13 Trentino fisheries. Using TPS software package, 24 homologous landmarks were placed on each fish shape and rigor mortis arching effect was digitally corrected, then the landmark coordinates were adjusted using a generalized procrustes analysis (GPA). Finally we could emphasize the ontogenetic shape differences between samples. Afterwards the TPS output data (a points matrix) were analysed by NTsys statistical software, especially by a canonical variates analysis (CVA). CVA was preferred rather than principal component analysis (PCA) for simplifying descriptions between group differences. This method yielded evidence of morphological differences among different stocks, and within the same stock reared in different environmental condition. TPS software helped us to show these differences by a graphic method, in which the main variation axis is represented by the transition from a “lean” to a “fat” fish shape. In contrast, geometric morphometric method could be sensitive to artifices due to a wrong images acquisition procedure or rough sample displacement under the camera. More tests are necessary to proof the intraspecific discriminant power.
2011
Proceedings ASPA 19th Congress Cremona, June 7-10, 2011
ASPA 19th Congress
Cremona
F. FACCENDA; R. BOZZI; G. PARISI; F. LUNELLI
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/459860
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