A non-destructive morphometric technique to predict Ligula intestinalis L. plerocercoid load in roach (Rutilus rutilus L.) abdominal cavity

Ecological Modelling

Volumn 156, Issue 1, 2002, Pages 1-11

  Loot, Géraldine ^a   Giraudel, Jean Luc ^a   Lek, Sovan ^a  

^a CNRS   (France)

Author keywords

Artificial neural network; Non destructive method; Parasite burden; Predictive model; Roach

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ECOLOGICAL MODELING; ENDOPARASITE; FISH; MORPHOMETRY;

ANIMALIA; LIGULA INTESTINALIS; RUTILUS; RUTILUS RUTILUS;

EID: 0037107822     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(02)00030-3     Document Type: Article

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