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Genetic parameters and mapping quantitative trait loci associated with tibia traits in broilers.

B N N Ragognetti1, N B Stafuzza1, T B R Silva1

  • 1Departamento de Ciências Exatas, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal, SP, Brasil.

Genetics and Molecular Research : GMR
|January 20, 2016
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Summary
This summary is machine-generated.

Broiler selection for rapid growth causes bone issues. This study identified genetic factors (QTL) for tibia traits, aiding future breeding for stronger broiler skeletons.

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Area of Science:

  • Animal Genetics
  • Poultry Science
  • Quantitative Genetics

Background:

  • Intensive broiler selection for performance traits leads to skeletal problems, including locomotion disorders and bone fragility.
  • The skeletal structure struggles to support the high body weight of fast-growing broilers, necessitating research into genetic underpinnings.

Purpose of the Study:

  • To estimate genetic parameters for body weight at 42 days (BW42) and tibia traits (length, width, weight) in broiler chickens.
  • To identify quantitative trait loci (QTL) associated with tibia traits to enhance understanding of broiler genetic architecture.

Main Methods:

  • Genetic parameters were estimated for BW42 and tibia traits.
  • Genome-wide scan using 127 microsatellites (2630 cM coverage) for QTL mapping.
  • QTL analysis was performed with BW42 as a covariate for bone traits.

Main Results:

  • Significant genetic correlations were found between tibia traits and BW42, indicating shared genetic control.
  • Eight QTL were mapped on Gallus gallus chromosomes (GGA1, GGA4, GGA6, GGA13, GGA24).
  • Specific QTL regions for tibia length and weight were identified on GGA1, containing the limb development gene DACH1. Additional QTL for tibia weight and width were found on GGA2, GGA4, and GGA3.

Conclusions:

  • Genetic correlations suggest pleiotropy or linkage disequilibrium influencing broiler bone and body weight traits.
  • Identified QTL provide valuable genomic regions for future candidate gene discovery and marker-assisted selection in broilers.
  • This research contributes to developing strategies for improving broiler skeletal health alongside growth performance.