Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.

Detalhes bibliográficos
Autor(a) principal: SAAVEDRA, L. M.
Data de Publicação: 2023
Outros Autores: CAIXETA, E. T., BARKA, G. D., BORÉM, A., ZAMBOLIM, L., NASCIMENTO, M., CRUZ, C. D., OLIVEIRA, A. C. B. de, PEREIRA, A. A.
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/1157818
https://doi.org/10.3390/ genes14010189
Resumo: Abstract: In this study, marker-assisted recurrent selection was evaluated for pyramiding resistance gene alleles against coffee leaf rust (CLR) and coffee berry diseases (CBD) in Coffea arabica. A total of 144 genotypes corresponding to 12 hybrid populations from crosses between eight parent plants with desired morphological and agronomic traits were evaluated. Molecular data were used for cross-certification, diversity study and resistance allele marker-assisted selection (MAS) against the causal agent of coffee leaf rust (Hemileia vastatrix) and coffee berry disease (Colletotrichum kahawae). In addition, nine morphological and agronomic traits were evaluated to determine the components of variance, select superior hybrids, and estimate genetic gain. From the genotypes evaluated, 134 were confirmed as hybrids. The genetic diversity between and within populations was 75.5% and 24.5%, respectively, and the cluster analysis revealed three primary groups. Pyramiding of CLR and CBD resistance genes was conducted in 11 genotypes using MAS. A selection intensity of 30% resulted in a gain of over 50% compared to the original population. Selected hybrids with increased gain also showed greater genetic divergence in addition to the pyramided resistance alleles. The strategies used were, therefore, efficient to select superior coffee hybrids for recurrent selection programs and could be used as a source of resistance in various crosses.
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spelling Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.Leaf rustCoffee berry diseaseCoffea arabica var. arabicaAbstract: In this study, marker-assisted recurrent selection was evaluated for pyramiding resistance gene alleles against coffee leaf rust (CLR) and coffee berry diseases (CBD) in Coffea arabica. A total of 144 genotypes corresponding to 12 hybrid populations from crosses between eight parent plants with desired morphological and agronomic traits were evaluated. Molecular data were used for cross-certification, diversity study and resistance allele marker-assisted selection (MAS) against the causal agent of coffee leaf rust (Hemileia vastatrix) and coffee berry disease (Colletotrichum kahawae). In addition, nine morphological and agronomic traits were evaluated to determine the components of variance, select superior hybrids, and estimate genetic gain. From the genotypes evaluated, 134 were confirmed as hybrids. The genetic diversity between and within populations was 75.5% and 24.5%, respectively, and the cluster analysis revealed three primary groups. Pyramiding of CLR and CBD resistance genes was conducted in 11 genotypes using MAS. A selection intensity of 30% resulted in a gain of over 50% compared to the original population. Selected hybrids with increased gain also showed greater genetic divergence in addition to the pyramided resistance alleles. The strategies used were, therefore, efficient to select superior coffee hybrids for recurrent selection programs and could be used as a source of resistance in various crosses.LAURA MARITZA SAAVEDRA, UNIVERSIDADE FEDERAL DE VIÇOSA; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; GELETA DUGASSA BARKA, ADAMA SCIENCE AND TECHNOLOGY UNIVERSITY; ALUÍZIO BORÉM, UNIVERSIDADE FEDERAL DE VIÇOSA; LAÉRCIO ZAMBOLIM, UNIVERSIDADE FEDERAL DE VIÇOSA; MOYSÉS NASCIMENTO, UNIVERSIDADE FEDERAL DE VIÇOSA; COSME DAMIÃO CRUZ, UNIVERSIDADE FEDERAL DE VIÇOSA; ANTONIO CARLOS BAIAO DE OLIVEIRA, CNPCa; ANTONIO ALVES PEREIRA, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS.SAAVEDRA, L. M.CAIXETA, E. T.BARKA, G. D.BORÉM, A.ZAMBOLIM, L.NASCIMENTO, M.CRUZ, C. D.OLIVEIRA, A. C. B. dePEREIRA, A. A.2023-11-06T18:31:25Z2023-11-06T18:31:25Z2023-11-062023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18 p.Genes, v. 14, n. 1, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1157818https://doi.org/10.3390/ genes14010189enginfo: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:EMBRAPA2023-11-06T18:31:25Zoai:www.alice.cnptia.embrapa.br:doc/1157818Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-11-06T18:31:25falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-11-06T18:31:25Repositório 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 Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.
title Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.
spellingShingle Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.
SAAVEDRA, L. M.
Leaf rust
Coffee berry disease
Coffea arabica var. arabica
title_short Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.
title_full Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.
title_fullStr Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.
title_full_unstemmed Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.
title_sort Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.
author SAAVEDRA, L. M.
author_facet SAAVEDRA, L. M.
CAIXETA, E. T.
BARKA, G. D.
BORÉM, A.
ZAMBOLIM, L.
NASCIMENTO, M.
CRUZ, C. D.
OLIVEIRA, A. C. B. de
PEREIRA, A. A.
author_role author
author2 CAIXETA, E. T.
BARKA, G. D.
BORÉM, A.
ZAMBOLIM, L.
NASCIMENTO, M.
CRUZ, C. D.
OLIVEIRA, A. C. B. de
PEREIRA, A. A.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv LAURA MARITZA SAAVEDRA, UNIVERSIDADE FEDERAL DE VIÇOSA; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; GELETA DUGASSA BARKA, ADAMA SCIENCE AND TECHNOLOGY UNIVERSITY; ALUÍZIO BORÉM, UNIVERSIDADE FEDERAL DE VIÇOSA; LAÉRCIO ZAMBOLIM, UNIVERSIDADE FEDERAL DE VIÇOSA; MOYSÉS NASCIMENTO, UNIVERSIDADE FEDERAL DE VIÇOSA; COSME DAMIÃO CRUZ, UNIVERSIDADE FEDERAL DE VIÇOSA; ANTONIO CARLOS BAIAO DE OLIVEIRA, CNPCa; ANTONIO ALVES PEREIRA, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS.
dc.contributor.author.fl_str_mv SAAVEDRA, L. M.
CAIXETA, E. T.
BARKA, G. D.
BORÉM, A.
ZAMBOLIM, L.
NASCIMENTO, M.
CRUZ, C. D.
OLIVEIRA, A. C. B. de
PEREIRA, A. A.
dc.subject.por.fl_str_mv Leaf rust
Coffee berry disease
Coffea arabica var. arabica
topic Leaf rust
Coffee berry disease
Coffea arabica var. arabica
description Abstract: In this study, marker-assisted recurrent selection was evaluated for pyramiding resistance gene alleles against coffee leaf rust (CLR) and coffee berry diseases (CBD) in Coffea arabica. A total of 144 genotypes corresponding to 12 hybrid populations from crosses between eight parent plants with desired morphological and agronomic traits were evaluated. Molecular data were used for cross-certification, diversity study and resistance allele marker-assisted selection (MAS) against the causal agent of coffee leaf rust (Hemileia vastatrix) and coffee berry disease (Colletotrichum kahawae). In addition, nine morphological and agronomic traits were evaluated to determine the components of variance, select superior hybrids, and estimate genetic gain. From the genotypes evaluated, 134 were confirmed as hybrids. The genetic diversity between and within populations was 75.5% and 24.5%, respectively, and the cluster analysis revealed three primary groups. Pyramiding of CLR and CBD resistance genes was conducted in 11 genotypes using MAS. A selection intensity of 30% resulted in a gain of over 50% compared to the original population. Selected hybrids with increased gain also showed greater genetic divergence in addition to the pyramided resistance alleles. The strategies used were, therefore, efficient to select superior coffee hybrids for recurrent selection programs and could be used as a source of resistance in various crosses.
publishDate 2023
dc.date.none.fl_str_mv 2023-11-06T18:31:25Z
2023-11-06T18:31:25Z
2023-11-06
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 Genes, v. 14, n. 1, 2023.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1157818
https://doi.org/10.3390/ genes14010189
identifier_str_mv Genes, v. 14, n. 1, 2023.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1157818
https://doi.org/10.3390/ genes14010189
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 18 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)
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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)
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repository.mail.fl_str_mv cg-riaa@embrapa.br
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