20.500.12556/RUL-134674 Temporal and genomic analysis of additive genetic variance in breeding programmes Genetic variance is a central parameter in quantitative genetics and breeding. Assessing changes in genetic variance over time as well as the genome is therefore of high interest. Here, we extend a previously proposed framework for temporal analysis of genetic variance using the pedigree-based model, to a new framework for temporal and genomic analysis of genetic variance using marker-based models. To this end, we describe the theory of partitioning genetic variance into genic variance and within-chromosome and between-chromosome linkage-disequilibrium, and how to estimate these variance components from a marker-based model fitted to observed phenotype and marker data. The new framework involves three steps: (i) fitting a marker-based model to data, (ii) sampling realisations of marker effects from the fitted model and for each sample calculating realisations of genetic values and (iii) calculating the variance of sampled genetic values by time and genome partitions. Analysing time partitions indicates breeding programme sustainability, while analysing genome partitions indicates contributions from chromosomes and chromosome pairs and linkage-disequilibrium. We demonstrate the framework with a simulated breeding programme involving a complex trait. Results show good concordance between simulated and estimated variances, provided that the fitted model is capturing genetic complexity of a trait. We observe a reduction of genetic variance due to selection and drift changing allele frequencies, and due to selection inducing negative linkage-disequilibrium. agricultural genetics agriculture genetic variation plant breeding quantitative trait poljščine pšenica selekcija selekcijski program genetika genomika aditivna genetska varianca true false true Angleški jezik Slovenski jezik Članek v reviji 2022-01-25 12:32:31 2022-01-25 12:32:32 2022-09-13 03:56:28 0000-00-00 00:00:00 2022 0 0 Str.21-32 no. 1 Vol. 128 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 633 1365-2540 10.1038/s41437-021-00485-y 92142851 RAZ_De_Castro_Lara_Leticia_2022.pdf RAZ_De_Castro_Lara_Leticia_2022.pdf 1 A2292C537EC17934F9F6373BF4B4070A a49f8261916af510091bbd01634c66d67f8f957bf1462f58d384681353bfd082 3e197534-7dd6-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=153232 https://www.nature.com/articles/s41437-021-00485-y 1 490a4bde-7dd2-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=153231 Biotehniška fakulteta 0 0 0