Mapping quantitative trait loci for kernel composition in almond

Publication Overview
TitleMapping quantitative trait loci for kernel composition in almond
AuthorsFont i Forcada C, Fernández i Martí A, Socias i Company R
TypeJournal Article
Journal NameBMC Genetics
Volume13
Year2012
Page(s)47
CitationFont i Forcada C, Fernández i Martí A, Socias i Company R. Mapping quantitative trait loci for kernel composition in almond. BMC Genetics. 2012; 13:47.

Abstract

BACKGROUND
Almond breeding is increasingly taking into account kernel quality as a breeding objective. Information on the parameters to be considered in evaluating almond quality, such as protein and oil content, as well as oleic acid and tocopherol concentration, has been recently compiled. The genetic control of these traits has not yet been studied in almond, although this information would improve the efficiency of almond breeding programs.

RESULTS
A map with 56 simple sequence repeat or microsatellite (SSR) markers was constructed for an almond population showing a wide range of variability for the chemical components of the almond kernel. A total of 12 putative quantitative trait loci (QTL) controlling these chemical traits have been detected in this analysis, corresponding to seven genomic regions of the eight almond linkage groups (LG). Some QTL were clustered in the same region or shared the same molecular markers, according to the correlations already found between the chemical traits. The logarithm of the odds (LOD) values for any given trait ranged from 2.12 to 4.87, explaining from 11.0 to 33.1 % of the phenotypic variance of the trait.

CONCLUSIONS
The results produced in the study offer the opportunity to include the new genetic information in almond breeding programs. Increases in the positive traits of kernel quality may be looked for simultaneously whenever they are genetically independent, even if they are negatively correlated. We have provided the first genetic framework for the chemical components of the almond kernel, with twelve QTL in agreement with the large number of genes controlling their metabolism.

Features
This publication contains information about 24 features:
Feature NameUniquenameType
linoleic acid contentqLNA.VB-ch7QTL
linoleic acid contentqLNA.VB-ch3QTL
total fat contentqTFAT.VB-ch6.1QTL
total fat contentqTFAT.VB-ch6.2QTL
oleic acid contentqOA.VB-ch2QTL
oleic acid contentqOA.VB-ch7QTL
palmitic acid contentqPALTA.VB-ch3QTL
palmitic acid contentqPALTA.VB-ch7QTL
palmitoleic acid contentqPALTLA.VB-ch3QTL
palmitoleic acid contentqPALTLA.VB-ch5.1QTL
palmitoleic acid contentqPALTLA.VB-ch5.2QTL
palmitoleic acid contentqPALTLA.VB-ch7QTL
stearic acid contentqSTA.VB-ch1QTL
stearic acid contentqSTA.VB-ch5.1QTL
stearic acid contentqSTA.VB-ch5.2QTL
stearic acid contentqSTA.VB-ch6QTL
stearic acid contentqSTA.VB-ch7QTL
tocopherol homologues contentqTPH.VB-ch1.1QTL
tocopherol homologues contentqTPH.VB-ch1.2QTL
tocopherol homologues contentqTPH.VB-ch4.1QTL
tocopherol homologues contentqTPH.VB-ch4.2QTL
tocopherol homologues contentqTPH.VB-ch7QTL
protein contentqPRTN.VB-ch6QTL
protein contentqPRTN.VB-ch7QTL
Featuremaps
This publication contains information about 1 maps:
Map Name
Almond-VB-F1