DSpace About DSpace Software
 

DSpace Biblioteca Universidad de Talca (v1.5.2) >
Dirección de Programas de Investigación y Asistencia Técnica (DIAT) >
Artículos en publicaciones ISI - Universidad de Talca >

Please use this identifier to cite or link to this item: http://dspace.utalca.cl/handle/1950/9077

Title: Ranking the value of germplasm: new oil palm (Elaeis guineensis) breeding stocks as a case study
Authors: Wening, S.
Croxford, A.E.
Ford, C.S.
Thomas, W.T.B.
Forster, B.P.
Okyere-Boateng, G.
Nelson, S.P.C.
Caligari, P.D.S .
Wilkinson, M. J.
Keywords: Crop germplasm
Elaeis guineensis
genetic diversity
Genome Scan Allelic divergence
Global Allelic Divergence
SSR
Issue Date: Mar-2012
Publisher: WILEY-BLACKWELL, COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA
Citation: ANNALS OF APPLIED BIOLOGY Volume: 160 Issue: 2 Pages: 145-156 DOI: 10.1111/j.1744-7348.2011.00527.x
Abstract: Plant breeders constantly need to introduce desirable new alleles to refresh breeding stocks. This first requires an assessment of potential new sources of material and then identification of genotypes most able to augment existing stocks. Genetic distance analysis is widely used for both purposes, although it measures both haplotype diversity and novel allele abundance. Here, we present a more tailored approach to address these problems. Using oil palm as an exemplar, simple metrics of allelic and genetic richness, graphical genotyping and multivariate analysis were deployed to determine the overall value of Ghanaian germplasm to supplement Sumatra Bioscience (SumBio) breeding material. We next compared three methods to rank individuals. The first was based on multivariate genetic distance. However, we also developed two new systems: Global Allelic Divergence (GAD), based on novel allele abundance, and Genome Scan Allelic (GSA) divergence, which additionally considers genome context. Ghanaian material exhibited increased allelic richness, higher heterozygosity and a higher proportion of private alleles than extant SumBio breeding stocks. Graphical genotyping revealed Ghanaian material as allele-rich in genomic regions that were allele-poor in SumBio breeding stocks. Multivariate analysis showed a collective distinctness and increased variability of Ghanaian plants. Ranks of individuals varied between GSA, GAD and genetic distance. The GAD and GSA ranks correlated strongly with each other but only poorly with the genetic distance-based ranks. We conclude that GSA and GAD are superior ranking systems to identify individuals most likely to introduce valuable new alleles, whilst genetic distance analysis identifies individuals likely to require least backcrossing.
Description: Caligari, PDS (Caligari, P. D. S.). Univ Talca, Inst BiologiaO Vegetal & Biotecnol, Talca, Chile
URI: http://dspace.utalca.cl/handle/1950/9077
ISSN: 0003-4746
Appears in Collections:Artículos en publicaciones ISI - Universidad de Talca

Files in This Item:

File Description SizeFormat
TEXTO COMPLETO.htmACCESO RESTRINGIDO RED UTALCA3 kBHTMLView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2009  The DSpace Foundation - Feedback