Laboratorio Of Mejora Genetica Y Biologia Molecular

Zaragoza, Spain

Laboratorio Of Mejora Genetica Y Biologia Molecular

Zaragoza, Spain
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i Forcada C.F.,CSIC - Centro de Investigación y Tecnología Agroalimentaria | i Forcada C.F.,CSIC - Aula Dei Experimental Station | i Marti A.F.,CSIC - Centro de Investigación y Tecnología Agroalimentaria | i Marti A.F.,Laboratorio Of Mejora Genetica Y Biologia Molecular | I Company R.S.,CSIC - Centro de Investigación y Tecnología Agroalimentaria
BMC Genetics | Year: 2012

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. © 2012 Font i Forcada et al.; licensee BioMed Central Ltd.


Fernandez i Marti A.,CSIC - Centro de Investigación y Tecnología Agroalimentaria | Fernandez i Marti A.,Laboratorio Of Mejora Genetica Y Biologia Molecular | Font i Forcada C.,CSIC - Centro de Investigación y Tecnología Agroalimentaria | Font i Forcada C.,CSIC - Aula Dei Experimental Station | Socias i Company R.,CSIC - Centro de Investigación y Tecnología Agroalimentaria
Tree Genetics and Genomes | Year: 2013

Almond breeding is increasingly taking into account kernel quality as a breeding objective. Although information on nut and kernel physical parameters involved in almond quality has already been compiled, the genetic control of these traits has not been studied. This genetic information would improve the efficacy of almond breeding programs. A linkage map with 56 simple-sequence repeat markers was constructed for the "Vivot" × "Blanquerna" almond population showing a wide range of variability for the physical parameters of nut and kernel. A total of 14 putative quantitative trait loci (QTLs) controlling these physical traits were detected in the current study, corresponding to six genomic regions of the eight almond linkage groups (LG). Some QTLs are colocated in the same region or shared the same molecular markers, in a manner that reflects the correlations between the physical traits, as well as with the chemical components of the almond kernel. The limit of detection values for any given trait ranged from 2. 06 to 5. 17, explaining between 13. 0 and 44. 0 % of the phenotypic variance of the trait. This new genetic information needs to be taken into account when breeding for physical traits in almond. Increases in the positive quality traits, both physical and chemical, need to be considered simultaneously whenever they are genetically independent, even if they are negatively correlated. This is the first complete genetic framework map for physical components of almond nut and kernel, with 14 putative QTLs associated with a large number of parameters controlling physical traits in almond. © 2012 Springer-Verlag Berlin Heidelberg.

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