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Recording strategies and selection potential of feed intake measured using the X-ray method in rainbow trout

Overview of attention for article published in Genetics Selection Evolution, June 2006
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Title
Recording strategies and selection potential of feed intake measured using the X-ray method in rainbow trout
Published in
Genetics Selection Evolution, June 2006
DOI 10.1186/1297-9686-38-4-389
Pubmed ID
Authors

Antti Kause, Declan Tobin, Alexandre Dobly, Dominic Houlihan, Sam Martin, Esa A. Mäntysaari, Ossi Ritola, Kari Ruohonen

Abstract

This study examines the way long-term feed intake should be recorded accurately for selective breeding purposes, and estimates selection potential in feed intake using the X-ray method to record individual daily feed intake in rainbow trout (Oncorhynchus mykiss). The analysis showed that the point estimates of daily feed intake displayed low repeatabilities (r = 0.09-0.32). This indicates that a minimum of three repeated records were needed to accurately record average feed intake at a fixed age. To effectively breed for feed intake over the whole growing period, it is necessary to determine average feed intake at different ages, since there were only moderate phenotypic and genetic correlations between average daily feed intake recorded at 140 g, 750 g and 2000 g wet mass. Heritability for average daily feed intake was low (average h(2) = 0.10), indicating that modest genetic changes can be obtained in response to selection. It was concluded that selection to genetically change long-term feed intake can be successful, yet repeated observations at several life stages are needed to ensure the accuracy of feed intake estimates and the efficiency of selection.

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Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Lecturer > Senior Lecturer 1 11%
Other 1 11%
Student > Bachelor 1 11%
Lecturer 1 11%
Other 2 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 56%
Mathematics 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Engineering 1 11%
Unknown 1 11%