Genetic trends and genetic correlations between 305-day milk yield, persistency and somatic cell score of Holstein cows in Brazil using random regression model
A. Haiduck Padilha A , E. P. M. Alfonzo A , D. S. Daltro A B , H. A. L. Torres A , J. Braccini Neto A and J. A. Cobuci A
+ Author Affiliations
- Author Affiliations
A Federal University of Rio Grande do Sul, Department of Animal Science, Porto Alegre, RS 91540-000, Brazil.
B Corresponding author. Email: darlenedaltro@gmail.com
Animal Production Science 59(2) 207-215 https://doi.org/10.1071/AN16835
Submitted: 24 December 2016 Accepted: 10 November 2017 Published: 7 February 2018
Abstract
The objective was to estimate genetic correlations for persistency, milk yield and somatic cell score (SCS) in Holstein cattle in Brazil. A dataset with 190 389 records of test-day milk and of test-day SCS from 21 824 cows was used. Two-trait random regression model with a fourth order Legendre polynomial was used. Persistency (PS) was defined as the difference between estimated breeding values (EBV) along different days in milk using two formulae: 
and PS2 = (EBV290 – EBV90). Larger values for PS2 or lower ones for PS1 indicate higher persistency. Heritability was 0.24 for 305-day milk yield, 0.14 for SCS up to 305 days, 0.15 for PS1 and 0.14 for PS2. Genetic correlation between 305-day milk yield and SCS up to 305 days was –0.47. Genetic correlation of 305-day milk yield with PS1 and PS2 was –0.32 and 0.30, respectively. Genetic correlation of SCS up to 305 days was 0.25 with PS1 and –0.20 with PS2. The additive genetic correlations between milk yield, SCS and persistency showed that selection for higher persistency or for low somatic cell score will increase 305-day milk yield.
Additional keywords: dairy cattle, genetic selection, heritability, mastitis.
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