About: Breeding without breeding: selection using the genomic best linear unbiased predictor method (GBLUP)

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Breeding without breeding: selection using the genomic best linear unbiased predictor method (GBLUP) Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We demonstrate, using height data from a clonal trial, how the genomic best linear unbiased predictor method (GBLUP) is ideal for determining future breeding potential in situations (either in plantations or wild stands) where high mortality due to biotic or abiotic factors has occurred. The method is effective because it does not require the development of structured pedigree or classical progeny testing, rather it uses DNA fingerprinting to determine the genealogical relationship among individuals. The resulting genetic network is known as the realized relationship matrix, which in turn is used in classical quantitative genetics analyses to determine the genetic worth of all fingerprinted individuals. Selection of desirable individuals among the surviving population is aimed at maximizing genetic diversity even when the original genetic source is unknown. This is accomplished by determining the number of founder genome equivalents which can be used to estimate the inbreeding effective population si We demonstrate, using height data from a clonal trial, how the genomic best linear unbiased predictor method (GBLUP) is ideal for determining future breeding potential in situations (either in plantations or wild stands) where high mortality due to biotic or abiotic factors has occurred. The method is effective because it does not require the development of structured pedigree or classical progeny testing, rather it uses DNA fingerprinting to determine the genealogical relationship among individuals. The resulting genetic network is known as the realized relationship matrix, which in turn is used in classical quantitative genetics analyses to determine the genetic worth of all fingerprinted individuals. Selection of desirable individuals among the surviving population is aimed at maximizing genetic diversity even when the original genetic source is unknown. This is accomplished by determining the number of founder genome equivalents which can be used to estimate the inbreeding effective population si (en)
Title	Breeding without breeding: selection using the genomic best linear unbiased predictor method (GBLUP) Breeding without breeding: selection using the genomic best linear unbiased predictor method (GBLUP) (en)
skos:prefLabel	Breeding without breeding: selection using the genomic best linear unbiased predictor method (GBLUP) Breeding without breeding: selection using the genomic best linear unbiased predictor method (GBLUP) (en)
skos:notation	RIV/60460709:41320/12:54615!RIV13-MSM-41320___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	5-6
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Klápště, Jaroslav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Česká zemědělská univerzita v Praze / Fakulta lesnická a dřevařská
http://linked.open...dnocenehoVysledku	125506
http://linked.open...ai/riv/idVysledku	RIV/60460709:41320/12:54615
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	GBLUP, quantitative genetic parameters, selection, genetic gain, genetic diversity (en)
http://linked.open.../riv/klicoveSlovo	GBLUP quantitative genetic parameters selection genetic gain genetic diversity
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[FEAD2BB13BE6]
http://linked.open...i/riv/nazevZdroje	NEW FORESTS
http://linked.open...in/vavai/riv/obor	GK
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	43
http://linked.open...iv/tvurceVysledku	Klápště, Jaroslav El-Kassaby, Yousry Guy, Robert
http://linked.open...ain/vavai/riv/wos	000307819000007
issn	0169-4286
number of pages	7 (xsd:int)
http://localhost/t...ganizacniJednotka	41320

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software