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Title

SELECTION STRATEGIES FOR INCREASED GROWTH RATE IN JAPANESE QUAILS

Pages

 Start Page 166 | End Page 172

Abstract

 In this study, SELECTION strategies were simulated to find optimal SELECTION strategy in Japanesequails. Breeding goal was consisted of body weight and egg weight traits. Effects of using geneticmarkers related to carcass weight were investigated by five different SELECTION strategies. In thiscase, breeding goal included body weight, egg weight and carcass weight. Deterministic SIMULATION,based on single stage SELECTION and discrete generation, was used for predicting GENETIC GAIN andrate of inbreeding. In the first (base) program, phenotypic information was available on body andegg weights. In the second program, information on body and egg weights along with carcassweight were included in SELECTION index and in the third program, with taking into account theindirect carcass measurements in SELECTION index, including breast weight and back weight, geneticgain was increased for body weight compared with two previous mentioned programs. GENETIC GAINfor body weight was decreased by including indirect carcass measurements in SELECTION index. Inmarker assisted SELECTION programs, QTL information that described 5, 10, 20 and 50% of geneticvariation in carcass weight was also included in SELECTION index. In the next step, within the firstbreeding program which assumed QTL described 5% of genetic variance for carcass weight, geneticprogress of carcass weight was increased 3.1% in relation to base program. This increasing trendwas observed for other cases with different values of genetic variance described by assumed QTL.In the fourth program which assumed QTL described 50% of genetic variance for carcass weight,this increase reached to 42%. Genetic response for carcass weight was increased appropriately withconsidering different values of genetic variance due to QTL. Therefore, the use of QTL informationresulted in increase in the accuracy of breeding values and it could be possible to select geneticallysuperior candidates with greater reliability values.

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