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D Hinrichs

Publications and source records attributed to D Hinrichs.

6 recordsLinked to original sources

An algorithm to compute optimal genetic contributions in selection programs with large numbers of candidates.

A novel algorithm, OCSELECT, is presented for the calculation of optimal genetic contributions with a restricted rate of inbreeding when the number of selection candidates is very large. The calculation of optimal genetic contributions requires the relationship matrix between the candidates and its inverse. The relationship matrix was written as: A = ZA(p)Z' + D, where A(p) is the relationship matrix of the parents, D is a diagonal matrix of Mendelian sampling variances, and Z contains genetic contributions from parents to offspring. Therefore, A(-1) = d(-1) - d(-1)Z(Z'd(-1)Z + A(P)(-1))(-1) Z'd(-1), requires only inversion of matrices of the size of the number of parents instead of the number of offspring. The new algorithm was compared with the software package GENCONT on a salmon data set containing 39,214 selection candidates and 45,846 pedigreed fish in total. Because GENCONT could not handle such a large data set, this data set was split into 19 smaller data sets. Both algorithms gave the same solution with respect to the genetic gain and very similar solutions with respect to the number of selected animals. The OCSELECT algorithm was able to calculate the optimal contributions for the complete data set of 39,214, and therefore no preselection of the 39,214 fish was necessary before entering the fish into the new optimal contribution selection procedure.

Algorithms↗

Genetic parameters for health traits and their relationship to different persistency traits in German Holstein dairy cattle.

Data from 3,200 Holstein cows from 3 commercial dairy farms in Germany were used to estimate heritabilities and breeding values for liability to udder diseases (UD), fertility diseases (FD), metabolic diseases (MD), and claw and leg diseases (CLD) using single-trait threshold sire models. A total of 92,722 medical treatments recorded from 1998 to 2003 were included in the analysis. Approximate genetic correlations between persistency of milk yield, fat yield, protein yield, and persistency of milk energy yield and liability to the health traits were calculated based on correlations between EBV. Posterior means of heritability of liability ranged from 0.05 to 0.08 for UD, from 0.04 to 0.07 for FD, from 0.08 to 0.12 for MD, and from 0.04 to 0.07 for CLD. Approximate genetic correlations of the disease traits with the persistency traits were favorable, except for MD in all lactations, which were unfavorable, and UD, which were around zero. Highest correlations in the range of 0.13 to 0.46 were found between the different persistency traits and CLD.

Animals↗

Genetic analyses of mastitis data using animal threshold models and genetic correlation with production traits.

In the present study, 6 different mastitis data sets of 3 dairy herds with an overall herd size of 3200 German Holstein cows were analyzed. Data collection periods included the first 50, 100, or 300 d of lactation. The 3 data collection periods were analyzed with a lactation model and a test-day model. All models were animal threshold models. Mastitis frequencies in the lactation model data sets varied between 29 and 45%, and varied between 3 and 6% in the test-day model data sets. Depending on the period of data collection, heritabilities of liability to mastitis in the lactation models were 0.05 (50 d), 0.06 (100 d), and 0.07 (300 d). In the test-day models, heritabilities were slightly higher with values of 0.09 (50 and 100 d), and 0.06 (300 d). Between lactation models, the rank correlations between the relative breeding values were high and varied between 0.86 and 0.94. Rank correlations between the relative breeding values of the test-day models ranged from 0.68 to 0.87. The rank correlations between the relative breeding values of lactation models and test-day models varied from 0.51 and 0.80. Genetic correlations between mastitis and milk production traits were estimated with a linear animal test-day model. The correlations with mastitis were 0.29 (milk yield), 0.30 (fat yield), 0.20 (fat content), 0.34 (protein yield), and 0.20 (protein content). The estimated genetic correlation between mastitis and somatic cell score was 0.84.

Animals↗

A nonamer peptide derived from Listeria monocytogenes metalloprotease is presented to cytolytic T lymphocytes.

Listeria monocytogenes is an intracellular bacterium that secretes proteins into the cytosol of infected macrophages. Major histocompatibility complex (MHC) class I molecules bind peptides that are generated by the degradation of bacterial proteins and present them to cytolytic T lymphocytes (CTL). In this study we have investigated CTL responses in L. monocytogenes-immunized mice to peptides that (i) derive from the L. monocytogenes proteins phosphatidylinositol-specific phospholipase C, lecithinase (most active on phosphatidylcholine), metalloprotease (Mpl), PrfA, and the ORF-A product and (ii) conform to the binding motif of the H2-Kd MHC class I molecule. We identified a nonamer peptide, Mpl 84-92, that is presented to L. monocytogenes-specific CTL by H2-Kd MHC class I molecules. Unlike other motif-conforming peptides derived from the secreted Mpl of L. monocytogenes, Mpl 84-92 is bound with high affinity by H2-Kd. Mpl 84-92 is the fourth L. monocytogenes-derived peptide found to be presented to CTL by the H2-Kd molecule during infection and demonstrates the importance of high-affinity interactions between antigenic peptides and MHC class I molecules for CTL priming.

Animals↗

PHA activation of encephalitogenic T cells: in vitro line selection overcomes splenic suppression.

In this study we compared myelin basic protein (MBP) and phytohemagglutinin (PHA) for their ability to induce proliferation and experimental autoimmune encephalomyelitis (EAE) transfer activity in mixed cell cultures obtained from spleen and lymph nodes versus highly selected MBP-specific T cell lines and clones. Established MBP-specific cells derived initially from immune lymph nodes attained both proliferative and EAE-transfer activities after in vitro activation with either MBP or PHA. In contrast, PHA was unable to induce immune spleen cells to transfer EAE, in spite of its potent mitogenic activity. On the basis of these results, we evaluated the in vitro proliferation and differentiation responses of MBP-specific T cells during the line selection process using cells derived from both immune lymph node and immune spleen. During the initial selection process with MBP, proliferation of MBP-specific T cell precursors from immunized spleen populations was reduced relative to lymph node cells. After antigen-dependent selection the encephalitogenic cells from either organ exhibited identical in vitro response characteristics. Freshly isolated immune spleen cells were potent suppressors of MBP-specific T cell proliferation suggesting that the in vitro differences between the two organs was due to splenic suppression of the encephalitogenic cells.

Animals↗