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Temporal and genomic analysis of additive genetic variance in breeding programmes
ID De Castro Lara, Leticia (Avtor), ID Pocrnić, Ivan (Avtor), ID De Paula Oliveira, Thiago (Avtor), ID Gaynor, Robert Chris (Avtor), ID Gorjanc, Gregor (Avtor)

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Izvleček
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.

Jezik:Angleški jezik
Ključne besede:agricultural genetics, agriculture, genetic variation, plant breeding, quantitative trait
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:BF - Biotehniška fakulteta
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2022
Št. strani:Str.21-32
Številčenje:Vol. 128, no. 1
PID:20.500.12556/RUL-134674 Povezava se odpre v novem oknu
UDK:633
ISSN pri članku:1365-2540
DOI:10.1038/s41437-021-00485-y Povezava se odpre v novem oknu
COBISS.SI-ID:92142851 Povezava se odpre v novem oknu
Datum objave v RUL:25.01.2022
Število ogledov:1052
Število prenosov:188
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Heredity
Skrajšan naslov:Heredity
Založnik:Genetical Society of Great Britain
ISSN:1365-2540
COBISS.SI-ID:519011353 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:15.12.2021

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:poljščine, pšenica, selekcija, selekcijski program, genetika, genomika, aditivna genetska varianca

Projekti

Financer:Drugi - Drug financer ali več financerjev
Program financ.:BBSRC ISP
Naslov:BBS/E/D/30002275

Financer:Drugi - Drug financer ali več financerjev
Naslov:BBSRC IIA PIII-036

Financer:Drugi - Drug financer ali več financerjev
Naslov:University of Edinburgh’s Data-Driven Innovation Chancellor’s fellowship

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