Abstract

The objective of this study was to map quantitative trait loci (QTL) on porcine chromosomes 16, 17 and 18 and to determine their association with carcass, organ and meat quality traits. An F2 population was produced by crossing two boars of the naturalized Brazilian Piau breed with 18 commercial females (Landrace x Large White x Pietrain). The population was genotyped for 11 microsatellite markers distributed over the three chromosomes and the results were used to construct a marker-specific linkage map for the population. Analysis of the polymorphic information content showed that the microsatellite markers were adequate for the study of quantitative traits. QTL were identified by regression interval mapping using QTL Express software. QTL not previously described in the literature were detected on chromosome 16, whereas QTL described in other populations were detected on chromosomes 17 and 18. The information from the significant QTL identified here will be useful for future fine-mapping studies and should provide a better understanding of productive phenotypes in pigs.

Highlights

  • Quantitative traits are controlled by several genes and are influenced by the environment

  • The identification of quantitative trait loci (QTL) in domestic animals is facilitated by the accumulation of mutations produced over many years of selection at loci that influence phenotypic traits (Andersson and Georges, 2004)

  • The main purpose of the present study was to map the QTL for carcass, internal organ and meat quality traits located on porcine chromosomes 16 (SSC16), 17 (SSC17)

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Summary

Introduction

Quantitative traits (almost all traits of economic interest) are controlled by several genes and are influenced by the environment. The main purpose of the present study was to map the QTL for carcass, internal organ and meat quality traits located on porcine chromosomes 16 (SSC16), 17 (SSC17) The resulting genotypic and phenotypic files and linkage maps were analyzed with QTL Express software (Seaton et al, 2002).

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