The heritability accuracy in forest tree breeding programs relying on random mating
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F25%3A102233" target="_blank" >RIV/60460709:41320/25:102233 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1080/02827581.2025.2530427" target="_blank" >https://doi.org/10.1080/02827581.2025.2530427</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/02827581.2025.2530427" target="_blank" >10.1080/02827581.2025.2530427</a>
Alternative languages
Result language
angličtina
Original language name
The heritability accuracy in forest tree breeding programs relying on random mating
Original language description
In forest tree breeding, there is a growing trend towards using pedigree reconstruction after offspring are produced through natural random mating (open-pollination), as an alternative to traditional controlled crosses and full-sib genetic trials. Given that most forest tree species are predominantly outcrossing organisms, the accuracy of narrow-sense heritability (h2) under natural mating conditions has not been thoroughly examined, particularly with regard to sample size. Our simulation study focuses on the genetic parameters specific to Norway spruce (Picea abies L.) in Norway. We used the stochastic model MoBPS to simulate a founder population with 100,000 SNP markers distributed across 12 haploid chromosomes, representative of many conifer species. Parental trees were selected from this population, followed by random mating and offspring evaluation. We focused on estimating the accuracy of h2, with particular attention to its precision and bias. Our results suggest that the population sample sizes currently used in forest tree breeding are generally adequate for achieving precision. However, we identified two primary sources of bias: one due to dominance effects and the other from phenotypic parental selection. We discuss potential strategies to mitigate these biases in breeding programs.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40102 - Forestry
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
ISSN
0282-7581
e-ISSN
0282-7581
Volume of the periodical
40
Issue of the periodical within the volume
AUG 18 2025
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
11
Pages from-to
292-302
UT code for WoS article
001554869200001
EID of the result in the Scopus database
2-s2.0-105013837720