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Genetic Mapping and Detection of Quantitative Trait Loci

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The Olive Tree Genome

Part of the book series: Compendium of Plant Genomes ((CPG))

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Abstract

Olive tree is a long-living woody species with similar genomic and phenotypic constraints to other perennial fruit crops. However, compared to apple, grape, and peach, genomic investigations for designing innovative breeding strategies are still limited to only preliminary research in this species. In this chapter, we aim to describe the studies on genetic mapping and underline the most promising investigations and initiatives to build a Mediterranean network suitable for establishing robust marker-trait associations through QTL mapping and association studies. These tools should serve to finally implement new breeding programs driven by marker-assisted breeding.

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Author information

Authors and Affiliations

  1. CNR, Institute of Biosciences and Bioresources, Via Madonna Alta, 130-06128, Perugia, Italy

    Luciana Baldoni

  2. INRA, UMR 1334 Amelioration Genetique et Adaptation des Plantes Mediterraneennes et Tropicales (AGAP), Campus Cirad TA-A-108/03, Montpellier, France

    Bouchaib Khadari

  3. IFAPA, Centro “Alameda del Obispo”, Área Mejora y Biotecnología, Avda. Menendez Pidal s/n, 14080, Córdoba, Spain

    Raul De La Rosa

Authors
  1. Luciana Baldoni
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  2. Bouchaib Khadari
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  3. Raul De La Rosa
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Corresponding author

Correspondence to Luciana Baldoni .

Editor information

Editors and Affiliations

  1. DAFNE, University of Tuscia, Viterbo, Italy

    Eddo Rugini

  2. Institute of Biosciences and Bioresources, National Research Council, Perugia, Italy

    Luciana Baldoni

  3. DAFNE, University of Tuscia, Viterbo, Italy

    Rosario Muleo

  4. Scuola Superiore Sant’Anna, Pisa, Italy

    Luca Sebastiani

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Baldoni, L., Khadari, B., De La Rosa, R. (2016). Genetic Mapping and Detection of Quantitative Trait Loci. In: Rugini, E., Baldoni, L., Muleo, R., Sebastiani, L. (eds) The Olive Tree Genome. Compendium of Plant Genomes. Springer, Cham. https://doi.org/10.1007/978-3-319-48887-5_5

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