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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
)
PDF - Predstavitvena datoteka,
prenos
(1,80 MB)
MD5: A2292C537EC17934F9F6373BF4B4070A
URL - Izvorni URL, za dostop obiščite
https://www.nature.com/articles/s41437-021-00485-y
Galerija slik
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
UDK:
633
ISSN pri članku:
1365-2540
DOI:
10.1038/s41437-021-00485-y
COBISS.SI-ID:
92142851
Datum objave v RUL:
25.01.2022
Število ogledov:
1048
Število prenosov:
188
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
Heredity
Skrajšan naslov:
Heredity
Založnik:
Genetical Society of Great Britain
ISSN:
1365-2540
COBISS.SI-ID:
519011353
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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