Open AccessQTL and Candidate Genes for Growth Traits in Pinus Taeda L
Author(s) -
Claire G. Williams
Publication year - 2002
Language(s) - English
Resource type - Reports
DOI - 10.2172/804720
Subject(s) - seedling , quantitative trait locus , biology , linkage (software) , pinus <genus> , tree (set theory) , gene , selection (genetic algorithm) , genetics , botany , mathematics , computer science , mathematical analysis , artificial intelligence
The reason for the project is to find the genetic factors which control growth at ages closer to commercial harvest (also known as QTL detection). To date, efforts to find genetic factors which control growth have been limited to seedlings. Because tree breeders want to find molecular markers which are linked to traits of direct economic value, finding linkage to factors controlling older-tree growth is more critical than seedling growth. Our current research interest includes both absolute height at ages 10-13 years but also growth trajectory or the rate of growth from seedling to half-rotation