Genomic‐assisted breeding for climate‐smart coffee
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 cane...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-03-01
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| Series: | The Plant Genome |
| Online Access: | https://doi.org/10.1002/tpg2.20321 |
| _version_ | 1797253753568493568 |
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| author | Maria Amélia G. Ferrão Aymbire F. A. da Fonseca Paulo S. Volpi Lucimara C. deSouza Marcone Comério Abraão C. Verdin Filho Elaine M. Riva‐Souza Patricio R. Munoz Romário G. Ferrão Luís Felipe V. Ferrão |
| author_facet | Maria Amélia G. Ferrão Aymbire F. A. da Fonseca Paulo S. Volpi Lucimara C. deSouza Marcone Comério Abraão C. Verdin Filho Elaine M. Riva‐Souza Patricio R. Munoz Romário G. Ferrão Luís Felipe V. Ferrão |
| author_sort | Maria Amélia G. Ferrão |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T21:39:04Z |
| format | Article |
| id | doaj.art-16e48380f0754b588479f48f4db65d27 |
| institution | Directory Open Access Journal |
| issn | 1940-3372 |
| language | English |
| last_indexed | 2024-04-24T21:39:04Z |
| publishDate | 2024-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Plant Genome |
| spelling | doaj.art-16e48380f0754b588479f48f4db65d272024-03-21T11:34:18ZengWileyThe Plant Genome1940-33722024-03-01171n/an/a10.1002/tpg2.20321Genomic‐assisted breeding for climate‐smart coffeeMaria Amélia G. Ferrão0Aymbire F. A. da Fonseca1Paulo S. Volpi2Lucimara C. deSouza3Marcone Comério4Abraão C. Verdin Filho5Elaine M. Riva‐Souza6Patricio R. Munoz7Romário G. Ferrão8Luís Felipe V. Ferrão9Instituto Capixaba de Pesquisa Assistência Técnica e Extensão Rural—Incaper ES BrazilInstituto Capixaba de Pesquisa Assistência Técnica e Extensão Rural—Incaper ES BrazilInstituto Capixaba de Pesquisa Assistência Técnica e Extensão Rural—Incaper ES BrazilInstituto Capixaba de Pesquisa Assistência Técnica e Extensão Rural—Incaper ES BrazilInstituto Capixaba de Pesquisa Assistência Técnica e Extensão Rural—Incaper ES BrazilInstituto Capixaba de Pesquisa Assistência Técnica e Extensão Rural—Incaper ES BrazilInstituto Capixaba de Pesquisa Assistência Técnica e Extensão Rural—Incaper ES BrazilBlueberry Breeding and Genomics Lab, Horticultural Sciences Department University of Florida Gainesville FL USAInstituto Capixaba de Pesquisa Assistência Técnica e Extensão Rural—Incaper ES BrazilBlueberry Breeding and Genomics Lab, Horticultural Sciences Department University of Florida Gainesville FL USAAbstract 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.https://doi.org/10.1002/tpg2.20321 |
| spellingShingle | Maria Amélia G. Ferrão Aymbire F. A. da Fonseca Paulo S. Volpi Lucimara C. deSouza Marcone Comério Abraão C. Verdin Filho Elaine M. Riva‐Souza Patricio R. Munoz Romário G. Ferrão Luís Felipe V. Ferrão Genomic‐assisted breeding for climate‐smart coffee The Plant Genome |
| title | Genomic‐assisted breeding for climate‐smart coffee |
| title_full | Genomic‐assisted breeding for climate‐smart coffee |
| title_fullStr | Genomic‐assisted breeding for climate‐smart coffee |
| title_full_unstemmed | Genomic‐assisted breeding for climate‐smart coffee |
| title_short | Genomic‐assisted breeding for climate‐smart coffee |
| title_sort | genomic assisted breeding for climate smart coffee |
| url | https://doi.org/10.1002/tpg2.20321 |
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