The prolificacy of the ewes was measured as the number of lambs born per ewe mated (NLB) when the ewes were 1–4 years of age. The ewe productivity related to the same age interval was measured by special ewe production indices (EPI). The genetic parameters for these traits were estimated by a series of bivariate REML analyses using animal models. The material used for the genetic analysis contained records on 193 213 ewes. The heritability estimates for NLB were h2 = 0.17, 0.13, 0.11, 0.10 for the four respective age classes. Corresponding estimates for EPI were h2 = 0.16, 0.17, 0.17, 0.15. The genetic correlations among NLB at different ages ranged from 0.63 to 0.98 and among EPI from 0.82 to 0.99. The genetic correlations between NLB and EPI were generally low. The material used for estimating the breeding values by the MT‐BLUP Animal Model consisted of 1.5 million individuals in the pedigree file. In total 815 782 ewes had records for the NLB and 763 491 ewes had production index (at least 1 year). The records were registered in the years 1990–2006. All possible missing patterns were present in the data. In the iteration process expected values for missing traits were generated and solutions were obtained on canonical transformed scale. The genetic evaluations were run independently for NLB and EPI for computational convenience given the correlations between these traits were negligible. 相似文献
1. The aim of the study was to estimate the heritability of the laying performance in the cumulative and partial production of eggs and predict the breeding values of native Zatorska geese in a conservation programme using Best Linear Unbiased Prediction (BLUP) methodology. Second, the trajectory of the egg production curve was examined.
2. The data contain information about the laying performance of 1831 individuals in the first year of laying. To describe the trajectory of the laying performance, 10 mathematical models were tested. For the genetic parameter estimation of egg production, data from 1038 birds were used with a production higher than 20 eggs during the first season of laying.
3. The analysis of egg production was based on single and multi-trait models. Heritability, genetic and phenotypic correlations between phases of the laying performance as well as breeding values were estimated.
4. The best adaptation to the goose egg laying curve was the Ali and Schaeffer model. The estimates of heritability were 0.20 (0.06 SE) using the single-trait model and ranged from 0.12 to 0.24 using the multi-trait model.
5. The results suggest that the BLUP method can support the conservation programme. 相似文献
The phenomenon of heterosis is widely used in hybrid breeding programmes, despite the fact that no satisfactory molecular
explanation is available. Estimators of quantitative genetic components like GCA and SCA values are tools used by the plant
breeder to identify superior parental individuals and to search for high heterosis combinations. Obtaining these estimators
usually requires the creation of new parental combinations and testing their offspring in multi-environment field trials.
In this study we explore the use of ɛ-insensitive Support Vector Machine Regression (ɛ-SVR) for the prediction of GCA and
SCA values from the molecular marker scores of parental inbred lines as an alternative to these field trials. Prediction accuracies
are obtained by means of cross-validation on a grain maize data set from the private breeding company RAGT R2n. Results indicate
that the proposed method allows the routine screening of new inbred lines despite the fact that predicting the SCA value of
an untested hybrid remains problematic with the available molecular marker information and standard kernel functions. The
genotypical performance of a testcross hybrid, originating from a cross between an untested inbred line and a well-known complementary
tester, can be predicted with moderate to high accuracy while this cannot be said for a cross between two untested inbred
lines. 相似文献