A note on the relationship between estimates of heritability and type-B genetic correlation
Author: Lu, Pengxin
Source: Canadian Journal of Forest Research, Volume 38, Number 11, November 2008 , pp. 2917-2921(5)
Publisher: NRC Research Press
Abstract:
This note verifies the applicability of an approach derived from Adams et al. (W.T. Adams, T.L. White, G.R.Hodge, and G.L. Powell. 1994. Silvae Genet. 43: 357-366) that used the ratio of unbiased to biased heritability estimates (denoted by Rh) to approximate type-B genetic correlation (rB) estimates. Both theoretical evidence and empirical evidence suggest that the estimate of the ratio of unbiased to biased heritability is often a good approximation of the estimate of type-B genetic correlation under the assumption of homogeneous heritability among sites. Given the large sampling errors and often unstable estimates of rB, the approach concerned may provide an alternative to existing methods for estimating type-B genetic correlation.L'objectif de cette étude consistait à vérifier la validité d'une approche découlant d'Adams et al. (W.T. Adams, T.L. White, G.R. Hodge et G.L. Powell. 1994. Silvae Genet. 43 : 357-366) qui a eu recours au rapport des estimations d'héritabilité biaisée et non biaisée (désigné par Rh) pour obtenir une estimation approximative de la corrélation génétique de type B (rB). Les preuves théoriques et empiriques suggèrent que le rapport des estimations d'héritabilité biaisée et non biaisée représente souvent une bonne approximation de l'estimation de la corrélation génétique de type B en assumant que l'héritabilité est homogène d'un site à l'autre. Étant donné les grandes erreurs d'échantillonnage et les estimations souvent instables de rB, l'approche étudiée ici peut fournir une alternative aux méthodes existantes pour estimer la corrélation génétique de type B.Document Type: Research article
Publication date: 2008-11-01
- Published since 1971, this monthly journal features articles, reviews, notes and commentaries on all aspects of forest science, including biometrics and mensuration, conservation, disturbance, ecology, economics, entomology, fire, genetics, management, operations, pathology, physiology, policy, remote sensing, social science, soil, silviculture, wildlife and wood science, contributed by internationally respected scientists. It also publishes special issues dedicated to a topic of current interest.
- Information for Authors
- Submit a Paper
- Subscribe to this Title
- Terms & Conditions
- Sample Issue
- Reprints & Permissions
- ingentaconnect is not responsible for the content or availability of external websites
- In this: publication
- By this: publisher
- In this Subject: Agriculture (General) , Forestry
- By this author: Lu, Pengxin

Shopping cart
Receive new issue alert
Get Permissions