Random Regression Analysis of Milk Yield and Milk Composition in the First and Second Lactations of Murciano-Granadina Goats

J Dairy Sci. 2010 Jun;93(6):2718-26. doi: 10.3168/jds.2009-2571.


Records from the milk recording scheme of Spanish Murciano-Granadina goats were studied to estimate genetic (co)variance components and breeding values throughout the first and second lactations. The data used consisted of 49,696 monthly test-day records of milk (MY), protein (PY), fat (FY), and dry matter (DMY) yields from 5,163 goats, distributed in 20 herds, offspring of 2,086 does and 206 bucks. These records were analyzed by 2-trait random regression models (RRM) and a repeatability test-day model (RTDM). At the middle of lactation, heritability estimates for MY, DMY, and FY obtained with RTDM were larger than those estimated with RRM, and the opposite was true for PY. The RRM estimates of heritability for MY, FY, and PY were very similar throughout the trajectories of both lactations. Heritability estimates for DMY decreased through the lactation period. The genetic correlations between the first and second lactation records estimated for all traits by RRM were positive and ranged from 0.43 to 0.80 throughout the lactation curves. The correlation between BV estimated with RTDM and RRM was 0.742 for MY and 0.664 for DMY. The RRM could be a useful alternative to RTDM for the prediction of BV in this breed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Breeding
  • Female
  • Goats / genetics*
  • Goats / physiology
  • Lactation / genetics*
  • Lactation / physiology
  • Milk / chemistry
  • Milk / metabolism*
  • Milk Proteins / analysis
  • Models, Genetic
  • Quantitative Trait, Heritable
  • Regression Analysis


  • Milk Proteins