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Related Experiment Videos

Body weight and egg weight dynamics in layers

R J Di Masso1, A M Dottavio, Z E Canet

  • 1Cátedra de Genética y Biometría, Facultad de Ciencias Veterinarias, Casilda, Argentina. dimasso@cidoc.edu.ar

Poultry Science
|June 17, 1998
PubMed
Summary

This study analyzed body and egg weight patterns in laying hens, revealing distinct groups based on these traits. Findings support selective breeding for optimizing both weight and maturing rate independently.

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Area of Science:

  • Animal Science
  • Genetics
  • Poultry Science

Background:

  • Understanding the genetic correlation between body weight and egg weight is crucial for optimizing poultry breeding.
  • Laying hen populations exhibit complex weight-age dynamics influenced by genetic factors.

Purpose of the Study:

  • To investigate the association between body weight-age and egg weight-age patterns in a segregating laying hen population.
  • To characterize hens based on asymptotic body weight (ABW), maturing rate for body weight (MBW), asymptotic egg weight (AEW), and maturing rate for egg weight (MEW).

Main Methods:

  • Utilized a reciprocal cross population (Rhode Island Red x White Leghorn, F3 generation).
  • Applied the Weatherup and Foster model to describe body weight and egg weight as functions of time.

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  • Employed principal component analysis (PCA) to group hens based on weight-age patterns.
  • Main Results:

    • Four distinct hen groups were identified using PCA, primarily differing in egg weight-age or body weight-age patterns.
    • Group 1 hens had the heaviest eggs (AEW=66.1g) with the lowest maturing rate (MEW=0.922), while Group 3 showed the inverse (AEW=55.7g, MEW=0.737).
    • Group 2 hens exhibited the lowest asymptotic body weight (ABW=1,893g) and maturing rate (MBW=0.764), whereas Group 4 had the heaviest (ABW=2,802g) and least mature (MBW=0.929) birds.

    Conclusions:

    • Confirmed a partial pleiotropic basis for the body weight-egg weight correlation.
    • Demonstrated the feasibility of independent selective pressure on maturing rate versus asymptotic weight for both traits.
    • Proposed a biological selection index based on PCA for implementing this breeding strategy.