Genomic selection for genotype performance and environmental stability in <i>Coffea canephora</i>

AbstractCoffee is one of the most important beverages and trade products in the world. Among the multiple research initiatives focused on coffee sustainability, plant breeding provides the best means to increase phenotypic performance and release cultivars that could meet market dema...

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Main Authors: Paul Adunola, Maria Amélia G Ferrão, Romário G Ferrão, Aymbire F A da Fonseca, Paulo S Volpi, Marcone Comério, Abraão C Verdin Filho, Patricio R Munoz, Luís Felipe V Ferrão
Format: Article
Language:English
Published: Oxford University Press 2023-03-01
Series:G3: Genes, Genomes, Genetics
Online Access:https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkad062
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author Paul Adunola
Maria Amélia G Ferrão
Romário G Ferrão
Aymbire F A da Fonseca
Paulo S Volpi
Marcone Comério
Abraão C Verdin Filho
Patricio R Munoz
Luís Felipe V Ferrão
author_facet Paul Adunola
Maria Amélia G Ferrão
Romário G Ferrão
Aymbire F A da Fonseca
Paulo S Volpi
Marcone Comério
Abraão C Verdin Filho
Patricio R Munoz
Luís Felipe V Ferrão
author_sort Paul Adunola
collection DOAJ
description AbstractCoffee is one of the most important beverages and trade products in the world. Among the multiple research initiatives focused on coffee sustainability, plant breeding provides the best means to increase phenotypic performance and release cultivars that could meet market demands. Since coffee is well adapted to a diversity of tropical environments, an important question for those confronting the problem of evaluating phenotypic performance is the relevance of genotype-by-environment interaction. As a perennial crop with a long juvenile phase, coffee is subjected to significant temporal and spatial variations. Such facts not only hinder the selection of promising materials but also cause a majority of complaints among growers. In this study, we hypothesized that trait stability in coffee is genetically controlled and therefore is predictable using molecular information. To test it, we used genome-based methods to predict stability metrics computed with the primary goal of selecting coffee genotypes that combine high phenotypic performance and stability for target environments. Using 2 populations of Coffea canephora
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spelling doaj.art-623a944142aa4d7f97c787257c6afd4a2023-07-03T11:21:20ZengOxford University PressG3: Genes, Genomes, Genetics2160-18362023-03-0113610.1093/g3journal/jkad062Genomic selection for genotype performance and environmental stability in <i>Coffea canephora</i> Paul Adunola0https://orcid.org/0000-0003-1426-5248Maria Amélia G Ferrão1Romário G Ferrão2Aymbire F A da Fonseca3Paulo S Volpi4Marcone Comério5Abraão C Verdin Filho6https://orcid.org/0000-0001-8800-2382Patricio R Munoz7https://orcid.org/0000-0001-8973-9351Luís Felipe V Ferrão8https://orcid.org/0000-0002-9655-4838Blueberry Breeding and Genomics Lab, Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USAInstituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural—Incaper, Vitoria, ES 29052-010, BrazilInstituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural—Incaper, Vitoria, ES 29052-010, BrazilInstituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural—Incaper, Vitoria, ES 29052-010, BrazilInstituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural—Incaper, Vitoria, ES 29052-010, BrazilInstituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural—Incaper, Vitoria, ES 29052-010, BrazilInstituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural—Incaper, Vitoria, ES 29052-010, BrazilBlueberry Breeding and Genomics Lab, Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USABlueberry Breeding and Genomics Lab, Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USA AbstractCoffee is one of the most important beverages and trade products in the world. Among the multiple research initiatives focused on coffee sustainability, plant breeding provides the best means to increase phenotypic performance and release cultivars that could meet market demands. Since coffee is well adapted to a diversity of tropical environments, an important question for those confronting the problem of evaluating phenotypic performance is the relevance of genotype-by-environment interaction. As a perennial crop with a long juvenile phase, coffee is subjected to significant temporal and spatial variations. Such facts not only hinder the selection of promising materials but also cause a majority of complaints among growers. In this study, we hypothesized that trait stability in coffee is genetically controlled and therefore is predictable using molecular information. To test it, we used genome-based methods to predict stability metrics computed with the primary goal of selecting coffee genotypes that combine high phenotypic performance and stability for target environments. Using 2 populations of Coffea canephorahttps://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkad062
spellingShingle Paul Adunola
Maria Amélia G Ferrão
Romário G Ferrão
Aymbire F A da Fonseca
Paulo S Volpi
Marcone Comério
Abraão C Verdin Filho
Patricio R Munoz
Luís Felipe V Ferrão
Genomic selection for genotype performance and environmental stability in <i>Coffea canephora</i>
G3: Genes, Genomes, Genetics
title Genomic selection for genotype performance and environmental stability in <i>Coffea canephora</i>
title_full Genomic selection for genotype performance and environmental stability in <i>Coffea canephora</i>
title_fullStr Genomic selection for genotype performance and environmental stability in <i>Coffea canephora</i>
title_full_unstemmed Genomic selection for genotype performance and environmental stability in <i>Coffea canephora</i>
title_short Genomic selection for genotype performance and environmental stability in <i>Coffea canephora</i>
title_sort genomic selection for genotype performance and environmental stability in i coffea canephora i
url https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkad062
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