Ref ID: 9717
Ref Type: Confidential Report
Primary Title: Proposal for large-scale QTL detection experiments in hybrid pines
Primary Authors: Shepherd, M., Dieters, M. J., and Carson, S. D.
Secondary Authors:
Secondary Title:
Periodical:
Volume: 70
Issue:
Start Page:
End Page: 18
Primary Date: 2001
Pub Place: Lismore, NSW
Publisher: CRC-SPF
Series Title: Technical Report
Series Authour:
Secondary Date:
Keywords: Black Swamp,Queensland/block/breeding/conifer/cost/detection/estimation/experiment/family/full-sib/genetic/genetic map/high/hybrid/information/location/loci/marker/marker-aided selection/MAS/microsatellite/P/parameter/parent/pine/Pinus/Pinus caribaea var.hondurensis/Pinus elliottii/Pinus elliottii var.elliottii/plantation/planting/population/proposal/QTL/QTL detection/quantitative/quantitative trait loci/Queensland/report/selection/stage/Technical Report/test/thinning/trait/transfer/value/wood properties
Abstract: Genetic tests with large numbers of individuals per family (5000) are required for reliable quantitative trait loci (QTL) detection in conifers. Detection of QTL is an essential preparatory stage for marker-aided selection (MAS). An experiment and rationale for large-scale QTL detection is provided for hybrid pines (Pinus elliottii var. elliottii X P. caribaea var. hondurensis) as they are bred and deployed in Queensland. It is recommended that 6 - 10 large, full-sib families from high value parents should be planted as large family blocks at one or two locations. To reduce costs, the plantings should be established and maintained principally as operational plantations but without thinning or harvesting. Further key features for efficient QTL detection are; the use of selective genotyping to minimise genotyping costs; and, the use of highly polymorphic, codominant genetic markers such as microsatellites, to allow transfer of marker and QTL information within a breeding population. Validation of QTL detection also needs to be planned for, and is essential for accurate estimation of QTL parameters, as selective genotyping in QTL detection populations is expected to bias QTL estimates
Notes: Entered by Mervyn Shepherd (23/4/2002)
Reprint: In File
Availability: Authors;
Address: mshepherd@scu.edu.au
Program: SPF Genetic Improvement
Project: A7
Deliverable: A7-3
Confidentiality: Confidential to All Partners & Core and Supporting Partners
Report: Annual Report 2001/2
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