Genomic-assisted breeding for climate-smart coffee.
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152628 https://doi.org/10.1002/tpg2.20321 |
Resumo: | 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 diferente 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. |
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Genomic-assisted breeding for climate-smart coffee.Plant breedingClimateCoffea canephora var. laurentiiDisease resistanceCoffee 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 diferente 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.MARIA AMELIA GAVA FERRAO, CNPCa; AYMBIRE F. A. DA FONSECA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PAULO S. VOLPI, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; LUCIMARA C. DE SOUZA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; MARCONE COMÉRIO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; ABRAÃO C. VERDIN FILHO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; ELAINE M. RIVA-SOUZA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PATRICIO R. MUNOZ, UNIVERSITY OF FLORIDA; ROMÁRIO G. FERRÃO, MULTIVIX GROUP; LUÍS FELIPE V. FERRÃO, UNIVERSITY OF FLORIDA.FERRAO, M. A. G.FONSECA, A. F. A. daVOLPI, P. S.SOUZA, L. C. deCOMÉRIO, M.VERDIN FILHO, A. C.RIVA-SOUZA, E. M.MUNOZ, P. R.FERRÃO, R. G.FERRÃO, L. F. V.2023-03-23T14:51:20Z2023-03-23T14:51:20Z2023-03-232023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article19 p.The Plant Genome, e20321, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152628https://doi.org/10.1002/tpg2.20321enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-03-23T14:51:20Zoai:www.alice.cnptia.embrapa.br:doc/1152628Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-03-23T14:51:20falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-03-23T14:51:20Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Genomic-assisted breeding for climate-smart coffee. |
title |
Genomic-assisted breeding for climate-smart coffee. |
spellingShingle |
Genomic-assisted breeding for climate-smart coffee. FERRAO, M. A. G. Plant breeding Climate Coffea canephora var. laurentii Disease resistance |
title_short |
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_sort |
Genomic-assisted breeding for climate-smart coffee. |
author |
FERRAO, M. A. G. |
author_facet |
FERRAO, M. A. G. FONSECA, A. F. A. da VOLPI, P. S. SOUZA, L. C. de COMÉRIO, M. VERDIN FILHO, A. C. RIVA-SOUZA, E. M. MUNOZ, P. R. FERRÃO, R. G. FERRÃO, L. F. V. |
author_role |
author |
author2 |
FONSECA, A. F. A. da VOLPI, P. S. SOUZA, L. C. de COMÉRIO, M. VERDIN FILHO, A. C. RIVA-SOUZA, E. M. MUNOZ, P. R. FERRÃO, R. G. FERRÃO, L. F. V. |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
MARIA AMELIA GAVA FERRAO, CNPCa; AYMBIRE F. A. DA FONSECA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PAULO S. VOLPI, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; LUCIMARA C. DE SOUZA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; MARCONE COMÉRIO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; ABRAÃO C. VERDIN FILHO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; ELAINE M. RIVA-SOUZA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PATRICIO R. MUNOZ, UNIVERSITY OF FLORIDA; ROMÁRIO G. FERRÃO, MULTIVIX GROUP; LUÍS FELIPE V. FERRÃO, UNIVERSITY OF FLORIDA. |
dc.contributor.author.fl_str_mv |
FERRAO, M. A. G. FONSECA, A. F. A. da VOLPI, P. S. SOUZA, L. C. de COMÉRIO, M. VERDIN FILHO, A. C. RIVA-SOUZA, E. M. MUNOZ, P. R. FERRÃO, R. G. FERRÃO, L. F. V. |
dc.subject.por.fl_str_mv |
Plant breeding Climate Coffea canephora var. laurentii Disease resistance |
topic |
Plant breeding Climate Coffea canephora var. laurentii Disease resistance |
description |
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 diferente 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. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-23T14:51:20Z 2023-03-23T14:51:20Z 2023-03-23 2023 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
The Plant Genome, e20321, 2023. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152628 https://doi.org/10.1002/tpg2.20321 |
identifier_str_mv |
The Plant Genome, e20321, 2023. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152628 https://doi.org/10.1002/tpg2.20321 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
19 p. |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503542191423488 |