ArticleBMC genetics2012
Mapping quantitative trait loci for kernel composition in almond.
Article in BMC genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Unlocking almond breeding for nutritional composition with hyperspectral imaging.Plant phenomics (Washington, D.C.) · 2026Article
- Multi-trait evaluation of almond germplasm using the MGIDI method: optimizing yield and nutritional quality.Scientific reports · 2026Article
- QTL mapping of almond kernel quality traits in the FFrontiers in plant science · 2024Article
- Genetic characterization of an almond germplasm collection and volatilome profiling of raw and roasted kernels.Horticulture research · 2021Article
- Review about Non-Lipid Components and Minor Fat-Soluble Bioactive Compounds of Almond Kernel.Foods (Basel, Switzerland) · 2020Review
- Association Study of the 5'UTR Intron of theFrontiers in plant science · 2020Article
- Genotypic and Environmental Effects on Tocopherol Content in Almond.Antioxidants (Basel, Switzerland) · 2018Review
- Genotyping by Sequencing in Almond: SNP Discovery, Linkage Mapping, and Marker Design.G3 (Bethesda, Md.) · 2018Article
- Association Mapping Analysis for Fruit Quality Traits inFrontiers in plant science · 2018Article
- Article
- Identification of Genetic Loci Associated with Quality Traits in Almond via Association Mapping.PloS one · 2015Article
- Association mapping for kernel phytosterol content in almond.Frontiers in plant science · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlmond 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.
resultsA 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.
conclusionsThe 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.
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