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Animal Genetics
Lahav, T., Robert H. Smith Institute of Plant Sciences and Genetics, Hebrew University of Jerusalem, Rehovot 76100, Israel, Department of Genetics, Technion, Haifa, Israel
Atzmon, G., Robert H. Smith Institute of Plant Sciences and Genetics, Hebrew University of Jerusalem, Rehovot 76100, Israel, Department of Medicine and Molecular Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, United States
Blum, S., Robert H. Smith Institute of Plant Sciences and Genetics, Hebrew University of Jerusalem, Rehovot 76100, Israel
Ben-Ari, G., Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ont. M5G 1X5, Canada
Weigend, S., Institute for Animal Breeding, Federal Agricultural Research Center, Mariensee 31535, Germany
Cahaner, A., Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ont. M5G 1X5, Canada
Lavi, U., Department of Horticultural Genetics, ARO, Volcani Center, PO Box 6, Bet Dagan, Israel
Hillel, J., Robert H. Smith Institute of Plant Sciences and Genetics, Hebrew University of Jerusalem, Rehovot 76100, Israel
A method proposed herein allows simultaneous selection for several production traits, taking into consideration their marginal economic values (i.e. the economic value of a trait's additional unit). This economic index-marker assisted selection (EI-MAS) method is based on the calculation of the predicted economic breeding value (BV), using information on DNA markers that have previously been found to be associated with relevant quantitative trait loci. Based on the proposed method, results with real birds showed that sire progeny performance was significantly correlated with expected performance (r = 0.61-0.76; P = 0.03-0.01). Simulation analysis using a computer program written specifically for this purpose suggested that the relative advantage of EI-MAS would be large for traits with low heritability values. As expected, the response to EI-MAS was higher when the map distance between the marker and the quantitative trait gene was small, and vice versa. A large number of distantly located markers, spread 10 cM apart, yielded higher response to selection than a small number of closely located markers spread 3 cM apart. Additionally, the response to EI-MAS was higher when a large number (ca.150) of progeny was used for the prediction equation. © 2006 The Authors.
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תנאי שימוש
Marker-assisted selection based on a multi-trait economic index in chicken: Experimental results and simulation
37
Lahav, T., Robert H. Smith Institute of Plant Sciences and Genetics, Hebrew University of Jerusalem, Rehovot 76100, Israel, Department of Genetics, Technion, Haifa, Israel
Atzmon, G., Robert H. Smith Institute of Plant Sciences and Genetics, Hebrew University of Jerusalem, Rehovot 76100, Israel, Department of Medicine and Molecular Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, United States
Blum, S., Robert H. Smith Institute of Plant Sciences and Genetics, Hebrew University of Jerusalem, Rehovot 76100, Israel
Ben-Ari, G., Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ont. M5G 1X5, Canada
Weigend, S., Institute for Animal Breeding, Federal Agricultural Research Center, Mariensee 31535, Germany
Cahaner, A., Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ont. M5G 1X5, Canada
Lavi, U., Department of Horticultural Genetics, ARO, Volcani Center, PO Box 6, Bet Dagan, Israel
Hillel, J., Robert H. Smith Institute of Plant Sciences and Genetics, Hebrew University of Jerusalem, Rehovot 76100, Israel
Marker-assisted selection based on a multi-trait economic index in chicken: Experimental results and simulation
A method proposed herein allows simultaneous selection for several production traits, taking into consideration their marginal economic values (i.e. the economic value of a trait's additional unit). This economic index-marker assisted selection (EI-MAS) method is based on the calculation of the predicted economic breeding value (BV), using information on DNA markers that have previously been found to be associated with relevant quantitative trait loci. Based on the proposed method, results with real birds showed that sire progeny performance was significantly correlated with expected performance (r = 0.61-0.76; P = 0.03-0.01). Simulation analysis using a computer program written specifically for this purpose suggested that the relative advantage of EI-MAS would be large for traits with low heritability values. As expected, the response to EI-MAS was higher when the map distance between the marker and the quantitative trait gene was small, and vice versa. A large number of distantly located markers, spread 10 cM apart, yielded higher response to selection than a small number of closely located markers spread 3 cM apart. Additionally, the response to EI-MAS was higher when a large number (ca.150) of progeny was used for the prediction equation. © 2006 The Authors.
Scientific Publication
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