Records for a total of 732 daughter-dam pairs were analyzed to estimate the genetic correlations of pig performance traits with sow productivity traits, with implications to the development of specialized sire and dam lines for use in crossing. Major pig performance traits analyzed included average daily gain from 56 d of age to a final weight of 90.7 kg (ADG), average backfat thickness at 90.7 kg (BF) and a performance index (PI) consisting of ADG and BF. Major sow productivity traits included number of pigs born alive in a litter (NA), litter size (N21) and litter weight (W21) at 21 d of age and two sow productivity indexes, one with NA, N21 and W21 (SPI-3) and one with NA and W21 (SPI-2). All records were expressed as deviations from breed-line-year-season means of this population. Genetic correlations were computed from daughter-dam covariances. The mean genetic correlation of PI with SPI consisted of two correlations, that of daughters' PI with dams' SPI and that of dams' PI with daughters' SPI. The mean genetic correlation of PI with SPI-3 and SPI-2 was .07 +/- .12, suggesting that concurrent improvement in both PI and SPI would not be restricted by selection within a single composite line. The genetic correlation of daughters' PI with dams' SPI (-.18 +/- .13) was appraised as more critical than the reciprocal correlation of dams' PI with daughters' SPI (+.28 +/- .13). This appraisal is based on the fact that only one generation separates a daughter's PI from her dam's SPI, as compared with two generations in the reciprocal covariance. However, the -.18 correlation was not significantly different from zero, indicating that formation of specialized sire and dam lines for use in crossing would be only marginally more effective at best for improving the overall efficiency in pork production than use of a single composite line, aside from the heterosis effects from crossing the lines. Indexes were proposed for combining PI and SPI for use either in specialized sire and dam lines or in a single composite line.
[1]
G. L. Bennett,et al.
Expected relative responses to selection for alternative measures of life cycle economic efficiency of pork production.
,
1983,
Journal of animal science.
[2]
G. L. Bennett,et al.
Simulation of Genetic Changes in Life Cycle Efficiency of Pork Production. I. A Bioeconomic Model
,
1983
.
[3]
R. Johnson,et al.
AN ANALYSIS OF THE DEPENDENCY STRUCTURE BETWEEN A GILT'S PREBREEDING AND REPRODUCTIVE TRAITS. I. PHENOTYPIC AND GENETIC CORRELATIONS
,
1977
.
[4]
R. Johnson,et al.
AN ANALYSIS OF THE DEPENDENCY STRUCTURE BETWEEN A GILT'S PREBREEDING AND REPRODUCTIVE TRAITS. II. PRINCIPAL COMPONENT ANALYSIS
,
1977
.
[5]
C. Morris.
Genetic relationships of reproduction with growth and with carcass traits in British pigs
,
1975
.
[6]
O. W. Robison,et al.
An Explanation for the Low Heritability of Litter Size in Swine
,
1973
.
[7]
C. Legault.
Relationship between reproductive performance and fattening and carcass characters in the pig.
,
1971
.
[8]
R. J. Baker,et al.
DESIRED IMPROVEMENT IN RELATION TO SELECTION INDICES
,
1969
.
[9]
R. Comstock,et al.
Genetic Correlations between Some Economically Important Traits in Swine1
,
1963
.
[10]
J. C. Grimes,et al.
Effectiveness of selection for efficiency of gain in Duroc swine.
,
1947,
Journal of animal science.
[11]
G. Dickerson.
Composition of hog carcasses as influenced by heritable differences in rate and economy of gain.
,
1947
.
[12]
L. N. Hazel.
The Genetic Basis for Constructing Selection Indexes.
,
1943,
Genetics.
[13]
C. Eisenhart,et al.
The Interpretation of Certain Regression Methods and Their Use in Biological and Industrial Research
,
1939
.