폐쇄 종돈집단에서 주요 경제형질에 대한 장기선발효과 분석 = Analysis of Long-Term Selection Response for Several Economic Traits in a Closed Swine Nucleus Breeding Population
저자
발행사항
안성 : 한경대학교, 2013
학위논문사항
학위논문(석사)-- 한경대학교 : 동물·낙농생명과학전공 2013. 2
발행연도
2013
작성언어
한국어
발행국(도시)
경기도
형태사항
vii, 72 p. ; 26 cm
일반주기명
지도교수: 이득환
소장기관
The objectives of this study were based on data from 14
years of selection on economic traits in swine. The aim was to
evaluate response to selection and changes in genetic variances
caused by long-term selection.
The data use in this study include on-farm performance test
and reproductive records from purebred pigs in a closed swine
nucleus breeding population led by GGP. The reproductive
traits evaluated were total number of piglets born excluding
mummified (TNB1), total number of piglets born (TNB2),
number of piglets born alive (NBA), weaning to estrus interval
(WEI) and gestation length (GL), whereas productive traits
were evaluated on birth weight (BW0), total teats (TEAT),
average backfat thickness (ABF), loin muscle area (LMA), days
to 90kg (D90kg). Data after discarding as outlier due to
miss-information for genetic analysis were consisted of 18,932
litters for reproductive records and 61,206 pigs for productive
records which were collected from Jan. 1998 to Jun. 2012.
For estimating parameters on economic traits, multiple traits
animal model and repeatability model was fitted after finding
source of variance on fixed, random and covariate effects. At
final, combining model including reproductive and productive
traits to investigate genetic relationship between reproductive
and productive traits was set up and estimated genetic
parameters and breeding values.
The result obtained in this study was summarized as follow ;
1. Estimates of heritabilities were 0.12 and 0.12 for TNB1;
0.13 and 0.13 for TNB2; 0.13 and 0.12 for NBA; 0.19 and
0.19 for WEI; and 0.28 and 0.51 for GL in the Landrace and
Yorkshire breeds, respectively. Estimates of heritabilities for
litter traits were row and similar across breeds. Heritability
estimates for birth weight were 0.52 and 0.51; total teats
were 0.41 and 0.41; average backfat thickness were 0.51
and 0.49; loin muscle area were 0.16 and 0.16; and days to
90kg were 0.48 and 0.41in the Landrace and Yorkshire
breeds, respectively.
2. Estimated genetic correlations between NBA and TNB2 were
highly positive as 0.93 in the Landrace breed and 0.97 in
the Yorkshire breed. while genetic correlations between GL
and WEI were 0.05 in the Landrace breed and 0.05 in the
Yorkshire breed. Estimates of genetic correlations between
litter size and interval traits are small negative. Genetic
correlations between productive traits were estimated as
-0.27, 0.04 and –0.15 between ABF and LMA, ABF and
D90kg, and LMA and D90kg in the Landrace, respectively.
Estimates of genetic correlations between ABF and LMA,
ABF and D90kg, and LMA and D90kg were –0.37, 0.05 and
0.09 in the Yorkshire, respectively.
3. All estimated genetic trends for TNB1, TNB2 and NBA were
positive. The regressions of EBV on year of birth, indicate
that the annual genetic trend for NBA, was 0.097 pigs/year
in the Landrace and 0.060 pigs/year in the Yorkshire. Low
rates of genetic trends could be because breeders were
applying very little selection for them or the selection that
was applied was almost ineffective because of the low
heritabilities.
4. The rates of inbreeding were also estimated at 0.54% per
year in the Landrace and Yorkshire breeds. The regression
coefficients for TNB1, TNB2 and NBA were –0.043 ±
0.016, -0.045 ± 0.016 and –0.038 ± 0.015 for each 1%
increase in inbreeding of the Landrace dams, respectively.
5. This study presents that there was some effects of genetic
improvement for reproductive and productive traits in a
closed swine nucleus breeding population. As the results of
long-term selections in a closed population, decrease of
genetic variance for reproductive traits wasn't that high so
that there would be possible to improve the litter size
without introducing other genetic resources from the outside.
However, as the average inbreeding coefficient of current
GGP was high and showed increasing trends, it is expected
that there would be some genetic decline caused by
inbreeding.
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