Abstract
Currently, breeding values for dairy goats in the United
Kingdom are not estimated and selection is based
only on phenotypes. Several studies from other countries
have applied various methodologies to estimate
breeding values for milk yield in dairy goats. However,
most of the previous analyses were based on relatively
small data sets, which might have affected the accuracy
of the parameter estimates. The objective of this study
was to estimate genetic parameters for milk yield in
crossbred dairy goats in lactations 1 to 4. The research
was based on data provided by 2 commercial goat farms
in the United Kingdom comprising 390,482 milk yield
records on 13,591 dairy goats kidding between 1987 and
2012. The population was created by crossing 3 breeds:
Alpine, Saanen, and Toggenburg. In each generation,
the best-performing animals were selected for breeding
and, as a result, a synthetic breed was created.
The pedigree file contained 28,184 individuals, of which
2,414 were founders. The data set contained test-day
records of milk yield, lactation number, farm, age at
kidding, and year and season of kidding. Data on milk
composition was unavailable. Covariance components
were estimated with the average information REML
algorithm in the ASReml package (VSN International
Ltd., Hemel Hempstead, UK). A random regression
animal model for milk yield with fixed effects of herd
test day, year-season, and age at kidding was used.
Heritability was the highest at 200 and 250 d in milk
(DIM), reaching 0.45 in the first lactation and between
0.34 and 0.25 in subsequent lactations. After 300 DIM,
the heritability started decreasing to 0.23 and 0.10 at
400 DIM in the first and subsequent lactations, respectively.
Genetic correlation between milk yield in the
first and subsequent lactations was between 0.16 and
0.88. This study found that milk yields in first and
subsequent lactations are highly correlated, both at the
genetic and phenotypic level. Estimates of heritability
for milk yield were higher than most of the values
reported in the literature, although they were in the
range reported in this species. This should facilitate
genetic improvement for the population studied as part
of a broader multi-trait breeding program.
Original language | English |
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Pages (from-to) | 2455 - 2461 |
Number of pages | 7 |
Journal | Journal of Dairy Science |
Volume | 97 |
Issue number | 4 |
DOIs | |
Publication status | First published - 2014 |
Bibliographical note
1025125Keywords
- Dairy goat
- Milk yield
- Random regression