SciELO - Scientific Electronic Library Online

 
vol.27 issue4Whole-body and muscle amino acid composition of Plata pompano (Trachinotus marginatus) and prediction of dietary essential amino acid requirements author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Colombiana de Ciencias Pecuarias

Print version ISSN 0120-0690

Abstract

ECHEVERRI, Julián; ZAMBRANO, Juan C  and  LOPEZ HERRERA, Albeiro. Genomic evaluation of Holstein cattle in Antioquia (Colombia): a case study. Rev Colom Cienc Pecua [online]. 2014, vol.27, n.4, pp.306-314. ISSN 0120-0690.

Background: DNA markers have been widely used in genetic evaluation throughout the last decade due to the increased reliability of breeding values (BV) they allow, mainly in young animals. Objective: to compare breeding values estimated through the conventional method (best linear unbiased predictor, BLUP) with methods that include molecular markers for milk traits in Holstein cattle in Antioquia (Colombia). Methods: predictions of breeding values were performed using three methods: BLUP, molecular best linear unbiased predictor (MBLUP), and Bayes C. The breeding values were compared using Spearman's correlation coefficient and linear regression coefficient. Results: all Spearman correlation coefficients between breeding values obtained by different methods were greater than 0.5, while linear regression coefficients ranged between -2.10 and 1.58. Conclusions: prediction of breeding values through BLUP, MBLUP and Bayes C showed different results in terms of magnitude from the estimated values. However, animal ranking according to breeding values was not significantly different.

Keywords : genetic markers; genomic selection; breeding value; milk quality; milk traits.

        · abstract in Spanish | Portuguese     · text in English     · English ( pdf )