Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L.
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/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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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) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
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EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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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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1794503551388483584 |