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Marker‐assisted selection based on a multi‐trait economic index in chicken: experimental results and simulation
Author(s) -
Lahav T.,
Atzmon G.,
Blum S.,
BenAri G.,
Weigend S.,
Cahaner A.,
Lavi U.,
Hillel J.
Publication year - 2006
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/j.1365-2052.2006.01512.x
Subject(s) - sire , biology , trait , selection (genetic algorithm) , heritability , quantitative trait locus , marker assisted selection , statistics , value (mathematics) , genetics , index selection , index (typography) , evolutionary biology , gene , mathematics , computer science , artificial intelligence , zoology , world wide web , programming language
Summary 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.