scholarly journals Comparison of Genetic Parameter Estimates of Total Sperm Cells of Boars between Random Regression and Multiple Trait Animal Models

2008 ◽  
Vol 21 (7) ◽  
pp. 923-927 ◽  
Author(s):  
S.-H. Oh ◽  
M. T. See
Keyword(s):  
Animal Models ◽  
Genetic Parameter ◽  
Random Regression ◽  
Parameter Estimates ◽  
Sperm Cells ◽  
Multiple Trait

scholarly journals Genetic parameter estimates of conformation and performance traits in station-tested Limousin bulls

1994 ◽  
Vol 74 (2) ◽  
pp. 379-381 ◽  
Author(s):  
Filippo Miglior ◽  
E. B. Burnside ◽  
R. A. Kemp
Keyword(s):  
Genetic Parameter ◽  
Average Daily Gain ◽  
Parameter Estimates ◽  
Multiple Trait ◽  
Muscular Development ◽  
Scrotal Circumference ◽  
Performance Traits ◽  
Type Traits ◽  
And Performance ◽  
Highly Correlated

Genetic and residual parameters were computed for conformation and performance traits of Limousin bulls in Ontario central test stations. Following editing, data were available on 456 bulls tested in 1990. Genetic parameters for performance traits were similar to those reported in the literature. Heritability of bone score (1 — light to 9 — heavy) was 0.22 ± 0.23. Heritability of a composite muscular development score was 0.51 ± 0.14. Muscular development was positively correlated genetically with all traits studied, including average daily gain (140 d), height, scrotal circumference and bone, and very highly correlated genetically with backfat thickness and weight at end of test. Selection for muscular development using a linear scoring system is feasible, but consideration should be given to correlated responses in other economically important traits. Key words: Multiple-trait analysis, growth and type traits correlations, station-tested beef bulls

scholarly journals Genetic Parameter Estimates for Lamb Weight at Post-Weaning in Zandi Sheep, Using Single-Trait Animal Models

2010 ◽  
Vol 9 (17) ◽  
pp. 2220-2223
Author(s):  
K. Mohammadi ◽  
M. Mamouei ◽  
M. Bojarpour ◽  
Kh. Mirzadeh ◽  
A. Aghaei
Keyword(s):  
Animal Models ◽  
Genetic Parameter ◽  
Parameter Estimates ◽  
Zandi Sheep

scholarly journals Realized Sampling Variances of Estimates of Genetic Parameters and the Difference Between Genetic and Phenotypic Correlations

Genetics ◽  
1996 ◽  
Vol 143 (3) ◽  
pp. 1409-1416 ◽  
Author(s):  
Kenneth R Koots ◽  
John P Gibson
Keyword(s):  
Genetic Correlation ◽  
Genetic Parameters ◽  
Genetic Parameter ◽  
Genetic Correlations ◽  
Phenotypic Correlation ◽  
Parameter Estimates ◽  
Sampling Variance ◽  
Phenotypic Correlations ◽  
Genetic And Phenotypic Correlations ◽  
Heritability Estimates

Abstract A data set of 1572 heritability estimates and 1015 pairs of genetic and phenotypic correlation estimates, constructed from a survey of published beef cattle genetic parameter estimates, provided a rare opportunity to study realized sampling variances of genetic parameter estimates. The distribution of both heritability estimates and genetic correlation estimates, when plotted against estimated accuracy, was consistent with random error variance being some three times the sampling variance predicted from standard formulae. This result was consistent with the observation that the variance of estimates of heritabilities and genetic correlations between populations were about four times the predicted sampling variance, suggesting few real differences in genetic parameters between populations. Except where there was a strong biological or statistical expectation of a difference, there was little evidence for differences between genetic and phenotypic correlations for most trait combinations or for differences in genetic correlations between populations. These results suggest that, even for controlled populations, estimating genetic parameters specific to a given population is less useful than commonly believed. A serendipitous discovery was that, in the standard formula for theoretical standard error of a genetic correlation estimate, the heritabilities refer to the estimated values and not, as seems generally assumed, the true population values.

scholarly journals Genetic parameters for test-day model with random regressions for production traits of Czech Holstein cattle

2011 ◽  
Vol 50 (No. 4) ◽  
pp. 142-154 ◽  
Author(s):  
L. Zavadilová ◽  
J. Jamrozik ◽  
Schaeffer LR
Keyword(s):  
Milk Fat ◽  
Sampling Method ◽  
Random Regression ◽  
Model Parameters ◽  
Residual Variance ◽  
Posterior Distributions ◽  
Production Traits ◽  
Multiple Trait ◽  
Holstein Breed ◽  
Random Regression Model

Multiple-lactation random regression model was applied to test-day records of milk, fat and protein yields in the first three lactations of the Czech Holstein breed. Data included 9 583 cows, 89 584, 44 207 and 11 266 test-day records in the first, second and third lactation, respectively. Milk, fat and protein in the first three lactations were analysed separately and in a multiple-trait analysis. Linear model included herd-test date, fixed regressions within age-season class and two random effects: animal genetic and permanent environment modelled by regressions. Gibbs sampling method was used to generate samples from marginal posterior distributions of the model parameters. The single- and multiple-trait models provided similar results. Genetic and permanent environmental variances and heritability for particular days in milk were high at the beginning and at the end of lactation. The residual variance decreased throughout the lactation. The resulting heritability ranged from 0.13 to 0.52 and increased with parity.  

Genetic parameter estimates for female proportion in tongue sole (Cynoglossus semilaevis)

Aquaculture ◽  
2021 ◽  
pp. 737652
Author(s):  
Yangzhen Li ◽  
Yuanri Hu ◽  
Yingming Yang ◽  
Jiayu Cheng ◽  
Xiangming Cheng ◽  
...  
Keyword(s):  
Genetic Parameter ◽  
Cynoglossus Semilaevis ◽  
Parameter Estimates ◽  
Tongue Sole
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