The heritability accuracy in forest tree breeding programs relying on random mating

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

The heritability accuracy in forest tree breeding programs relying on random mating

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

The heritability accuracy in forest tree breeding programs relying on random mating

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

SCANDINAVIAN JOURNAL OF FOREST RESEARCH

ISSN

0282-7581

e-ISSN

0282-7581

Svazek periodika

40

Číslo periodika v rámci svazku

AUG 18 2025

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

292-302

Kód UT WoS článku

001554869200001

EID výsledku v databázi Scopus

2-s2.0-105013837720