Uncovering genetic information from commercial forest plantations-making up for lost time using "Breeding without Breeding"

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10313645" target="_blank" >RIV/00216208:11320/15:10313645 - isvavai.cz</a>

Alternative codes found

RIV/60460709:41320/15:67296

Result on the web

<a href="http://dx.doi.org/10.1007/s11295-015-0881-y" target="_blank" >http://dx.doi.org/10.1007/s11295-015-0881-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11295-015-0881-y" target="_blank" >10.1007/s11295-015-0881-y</a>

Result language

angličtina

Original language name

Uncovering genetic information from commercial forest plantations-making up for lost time using "Breeding without Breeding"

Original language description

An application of "Breeding without Breeding" (BwB) is proposed to uncover or extract genetic information from existing plantations, using pedigree reconstruction and BLUP to predict breeding values and identify genetically superior individuals. The focus is on the use of the methodology at the initiation of an operational breeding program to circumvent the first cycle of breeding and testing, but it could also have application in more advanced tree improvement programs. A simulation study was done to examine different sizes of three conceptual populations used in the BwB approach, and to compare the genetic gains achieved using that approach with those that would have been achieved with a full-sib breeding and testing strategy if it had been started years before. The BwB approach is based on pedigree reconstruction with a relatively small number of trees (from 1,200 to 3,600), comprised of a randomly selected sub-population of size NR= 600 to 3,000, and a top-phenotype sub-population of size NT= 600 (pre-selected out of 5,940 to 23,760 trees on the basis of phenotype alone). With the reconstructed pedigree, a combined REML/BLUP analysis of phenotypic data is done to predict breeding values, and a linear optimization is done to make the final selections to maximize gain while constraining relatedness to a given effective population size N-e=5, 10, or 20. Results indicate that the BwB strategy can achieve substantial levels of genetic gain, equivalent to 80 to 98 % of the gain that could have been achieved using a full-sib strategy.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

GK - Forestry

OECD FORD branch

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Project

<a href="/en/project/LH13021" target="_blank" >LH13021: Theoretical basis for the integration and optimization of innovative scheme</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

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

Name of the periodical

Tree Genetics and Genomes

ISSN

1614-2942

e-ISSN

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Volume of the periodical

11

Issue of the periodical within the volume

3

Country of publishing house

DE - GERMANY

Number of pages

12

Pages from-to

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UT code for WoS article

000355704700023

EID of the result in the Scopus database

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