<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Complementary progeny tests allow for simultaneously ranking parents for their general combining ability (GCA) and within-family forward selection. To do this, progeny tests are established with different types of genetic entries (i.e., half-sib and full-sib seedlings, respectively), and different experimental designs. This study proposes a combined analysis of the GCA and full-sib (FS) tests using the mixed model approach to predict simultaneously the breeding values of grandparents, parents, full-sib families and offspring on the same scale. Moreover, a first order autoregressive spatial mixed model for the GCA tests was also implemented in the combined analysis. Our empirical study in coastal Douglas-fir (<italic>Pseudotsuga menziesii</italic> (Mirb.) Franco) shows that additional information provided from relatives and the overlap genetic entry among GCA and FS tests via the proposed combined analysis, improves the accuracies of breeding values compared to the non-combined analysis. The improvements in the accuracies of breeding values for backward and forward selections were generally modest. Spatial and combined analyses gave slightly better results than the non-spatial combined model.</p></abstract>

Complementary progeny tests allow for simultaneously ranking parents for their general combining ability (GCA) and within-family forward selection. To do this, progeny tests are established with different types of genetic entries (i.e., half-sib and full-sib seedlings, respectively), and different experimental designs. This study proposes a combined analysis of the GCA and full-sib (FS) tests using the mixed model approach to predict simultaneously the breeding values of grandparents, parents, full-sib families and offspring on the same scale. Moreover, a first order autoregressive spatial mixed model for the GCA tests was also implemented in the combined analysis. Our empirical study in coastal Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) shows that additional information provided from relatives and the overlap genetic entry among GCA and FS tests via the proposed combined analysis, improves the accuracies of breeding values compared to the non-combined analysis. The improvements in the accuracies of breeding values for backward and forward selections were generally modest. Spatial and combined analyses gave slightly better results than the non-spatial combined model.

A Combined Analysis in Complementary Progeny Tests: Effects on breeding value accuracies

Instituto de Recursos Biológicos, Centro de Investigación en Recursos Naturales

Silvae Genetica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Complementary progeny tests allow for simultaneously ranking parents for their general combining ability (GCA) and within-family forward selection. To do this,...

A Combined Analysis in Complementary Progeny Tests: Effects on breeding value accuracies

Published Online: Jun 12, 2017

Page range: 38 - 48

DOI: https://doi.org/10.1515/sg-2016-0005

Keywords
mixed linear model, spatial analysis, backward and forward selections, accuracy of breeding values, Douglas-fir

© 2016 Eduardo P. Cappa et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A Combined Analysis in Complementary Progeny Tests: Effects on breeding value accuracies

Published Online: Jun 12, 2017

Page range: 38 - 48

DOI: https://doi.org/10.1515/sg-2016-0005

Keywordsmixed linear model, spatial analysis, backward and forward selections, accuracy of breeding values, Douglas-fir

© 2016 Eduardo P. Cappa et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
mixed linear model, spatial analysis, backward and forward selections, accuracy of breeding values, Douglas-fir