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Quantitative trait loci for performance traits in a broiler x layer cross.

M Ambo1, A S A M T Moura, M C Ledur

  • 1Animal Biotechnology Laboratory, Department of Animal Science, ESALQ-USP, Av. Pádua Dias 11, Piracicaba, SP 13418-900, Brazil.

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|January 28, 2009
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Summary

This study mapped quantitative trait loci (QTL) in chickens, identifying specific chromosomal regions influencing growth and body weight. These findings reveal genetic control over growth differences in broiler and layer chicken lines.

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Area of Science:

  • Animal Genetics
  • Quantitative Genetics
  • Poultry Breeding

Background:

  • Genetic variation underlies phenotypic differences between broiler and layer chicken lines.
  • Understanding quantitative trait loci (QTL) is crucial for improving economically important traits in poultry.
  • Previous research has identified some QTL, but a comprehensive map for growth traits in broiler x layer crosses was needed.

Purpose of the Study:

  • To map quantitative trait loci (QTL) for body weights, weight gain, feed intake, feed efficiency, and intestinal length in an F(2) resource population from a broiler x layer cross.
  • To identify specific chromosomal regions associated with growth and development traits in chickens.
  • To investigate the genetic architecture controlling growth differences between chicken lines.

Main Methods:

  • Utilized an F(2) resource population derived from a broiler x layer cross (up to 577 individuals).
  • Genotyped chickens with 103 genetic markers across 21 linkage groups.
  • Applied regression methods using line-cross and half-sib models for quantitative trait loci (QTL) interval mapping.

Main Results:

  • Detected eight QTL for body weight at 35 and 41 days, and intestine length using the line-cross model (on GGA2, 3, 4, 10).
  • Identified five QTL for body weight at days 1, 35, and 41 using the sire half-sib model (on GGA2, 3, 18).
  • Mapped seven QTL for body weight at days 1, 35, and 41 using the dam half-sib model (on GGA2, 3, 4).

Conclusions:

  • Growth differences between chicken lines are influenced by a limited number of chromosomal regions.
  • QTL mapping identified specific genomic locations associated with key growth and body composition traits.
  • Findings provide a foundation for marker-assisted selection to enhance poultry breeding programs.