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The Plant Genome
Article . 2023 . Peer-reviewed
License: CC BY NC ND
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The Plant Genome
Article . 2024
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The Plant Genome
Article . 2024
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Genomic‐assisted breeding for climate‐smart coffee

Authors: Maria Amélia G. Ferrão; Aymbire F. A. da Fonseca; Paulo S. Volpi; Lucimara C. de Souza; Marcone Comério; Abraão C. Verdin Filho; Elaine M. Riva‐Souza; +3 Authors

Genomic‐assisted breeding for climate‐smart coffee

Abstract

Abstract Coffee is a universal beverage that drives a multi‐industry market on a global basis. Today, the sustainability of coffee production is threatened by accelerated climate changes. In this work, we propose the implementation of genomic‐assisted breeding for climate‐smart coffee in Coffea canephora . This species is adapted to higher temperatures and is more resilient to biotic and abiotic stresses. After evaluating two populations, over multiple harvests, and under severe drought weather condition, we dissected the genetic architecture of yield, disease resistance, and quality‐related traits. By integrating genome‐wide association studies and diallel analyses, our contribution is four‐fold: (i) we identified a set of molecular markers with major effects associated with disease resistance and post‐harvest traits, while yield and plant architecture presented a polygenic background; (ii) we demonstrated the relevance of nonadditive gene actions and projected hybrid vigor when genotypes from different geographically botanical groups are crossed; (iii) we computed medium‐to‐large heritability values for most of the traits, representing potential for fast genetic progress; and (iv) we provided a first step toward implementing molecular breeding to accelerate improvements in C. canephora . Altogether, this work is a blueprint for how quantitative genetics and genomics can assist coffee breeding and support the supply chain in the face of the current global changes.

Country
Brazil
Keywords

Plant culture, Genomics, QH426-470, Coffee, SB1-1110, Plant Breeding, Coffea canephora, Genomic-assisted breeding, Genetics, Genome-Wide Association Study, Disease Resistance

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
gold