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Related Experiment Video

Updated: May 21, 2026

Determination of Self- and Inter-(in)compatibility Relationships in Apricot Combining Hand-Pollination, Microscopy and Genetic Analyses

Determination of Self- and Inter-(in)compatibility Relationships in Apricot Combining Hand-Pollination, Microscopy and Genetic Analyses

Published on: June 16, 2020

Mapping quantitative trait loci for kernel composition in almond.

Carolina Font i Forcada¹, Angel Fernández i Martí, Rafel Socias i Company

¹Unidad de Fruticultura, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Av, Montañana 930, 50059 Zaragoza, Spain.

|June 23, 2012

Summary

This study identifies twelve quantitative trait loci (QTL) for almond kernel quality traits, providing a genetic framework to improve almond breeding programs for desirable chemical components.

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Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays

Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays

Published on: April 23, 2012

Area of Science:

Plant genetics
Agricultural science
Nutritional biochemistry

Background:

Almond breeding increasingly focuses on kernel quality traits like protein, oil, oleic acid, and tocopherols.
Genetic control of these key almond quality traits remains largely unstudied.
Understanding genetic control is crucial for enhancing almond breeding efficiency.

Purpose of the Study:

To investigate the genetic basis of almond kernel quality traits.
To identify genetic markers associated with desirable chemical components in almonds.
To establish a genetic framework for improving almond breeding programs.

Main Methods:

Construction of a genetic map using 56 simple sequence repeat (SSR) markers in a diverse almond population.
Quantitative trait loci (QTL) analysis to detect genetic regions controlling kernel chemical composition.
Statistical analysis of marker-trait associations and phenotypic variance explained.

Main Results:

A genetic map encompassing eight almond linkage groups (LG) was developed.
Twelve putative QTLs controlling almond kernel chemical traits were identified across seven genomic regions.
Detected QTLs explained 11.0% to 33.1% of the phenotypic variance for the studied traits.

Conclusions:

The study provides the first genetic framework for almond kernel chemical components.
Identified QTLs offer targets for marker-assisted selection in almond breeding.
This genetic information can facilitate simultaneous selection for multiple kernel quality traits.