Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding.
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/1139358 https://doi.org/10.3389/fsufs.2021.705278 |
Resumo: | Plant breeding aims to develop cultivars with good agronomic traits through gene recombination and elite genotype selection. To support Coffea arabica breeding programs and assist parent selection, molecular characterization, genetic diversity (GD) analyses, and circulating diallel studies were strategically integrated to develop new cultivars. Molecular markers were used to assess the GD of 76 candidate parents and verify the crossing of potential F1 hybrids. Based on the complementary agronomic traits and genetic distance, eight elite parents were selected for circulating diallel analysis. The parents and 12 hybrids were evaluated based on 10 morpho-agronomic traits. For each trait, the effects of general and specific combining abilities, as well as the averages of the parents, hybrids, and predicted hybrids, were estimated. Crosses that maximize the genetic gains for the main agronomic traits of C. arabica were identified. Joint analysis of phenotypic and molecular data was used to estimate the correlation between molecular GD, phenotypic diversity (PD), phenotypic mean, and combining ability. The selection of parents that optimize the allele combination for the important traits of C. arabica is discussed in detail. |
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Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding.Molecular geneticsPlant breedingCoffea arabica var. arabicaPlant breeding aims to develop cultivars with good agronomic traits through gene recombination and elite genotype selection. To support Coffea arabica breeding programs and assist parent selection, molecular characterization, genetic diversity (GD) analyses, and circulating diallel studies were strategically integrated to develop new cultivars. Molecular markers were used to assess the GD of 76 candidate parents and verify the crossing of potential F1 hybrids. Based on the complementary agronomic traits and genetic distance, eight elite parents were selected for circulating diallel analysis. The parents and 12 hybrids were evaluated based on 10 morpho-agronomic traits. For each trait, the effects of general and specific combining abilities, as well as the averages of the parents, hybrids, and predicted hybrids, were estimated. Crosses that maximize the genetic gains for the main agronomic traits of C. arabica were identified. Joint analysis of phenotypic and molecular data was used to estimate the correlation between molecular GD, phenotypic diversity (PD), phenotypic mean, and combining ability. The selection of parents that optimize the allele combination for the important traits of C. arabica is discussed in detail.ALEXSANDRA CORREIA MEDEIROS, UFV; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; ANTONIO CARLOS BAIÃO DE OLIVEIRA, EPAMIG; TIAGO VIEIRA SOUSA, UFTM; VINÍCIUS DE MOURA STOCK, UFV; COSME DAMIÃO CRUZ, UFV; LAÉRCIO ZAMBOLIM, UFV; ANTONIO ALVES PEREIRA, EPAMIG.MEDEIROS, A. C.CAIXETA, E. T.OLIVEIRA, A. C. B. deSOUSA, T. V.STOCK, V. de M.CRUZ, C. D.ZAMBOLIM, L.PEREIRA, A. P.2022-01-27T01:58:47Z2022-01-27T01:58:47Z2022-01-262021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFrontiers in Sustainable Food Systems, v. 5, 705278, 2021.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139358https://doi.org/10.3389/fsufs.2021.705278enginfo: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:EMBRAPA2022-01-27T01:58:56Zoai:www.alice.cnptia.embrapa.br:doc/1139358Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-01-27T01:58:56falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-01-27T01:58:56Repositório 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 |
Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding. |
title |
Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding. |
spellingShingle |
Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding. MEDEIROS, A. C. Molecular genetics Plant breeding Coffea arabica var. arabica |
title_short |
Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding. |
title_full |
Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding. |
title_fullStr |
Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding. |
title_full_unstemmed |
Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding. |
title_sort |
Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding. |
author |
MEDEIROS, A. C. |
author_facet |
MEDEIROS, A. C. CAIXETA, E. T. OLIVEIRA, A. C. B. de SOUSA, T. V. STOCK, V. de M. CRUZ, C. D. ZAMBOLIM, L. PEREIRA, A. P. |
author_role |
author |
author2 |
CAIXETA, E. T. OLIVEIRA, A. C. B. de SOUSA, T. V. STOCK, V. de M. CRUZ, C. D. ZAMBOLIM, L. PEREIRA, A. P. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
ALEXSANDRA CORREIA MEDEIROS, UFV; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; ANTONIO CARLOS BAIÃO DE OLIVEIRA, EPAMIG; TIAGO VIEIRA SOUSA, UFTM; VINÍCIUS DE MOURA STOCK, UFV; COSME DAMIÃO CRUZ, UFV; LAÉRCIO ZAMBOLIM, UFV; ANTONIO ALVES PEREIRA, EPAMIG. |
dc.contributor.author.fl_str_mv |
MEDEIROS, A. C. CAIXETA, E. T. OLIVEIRA, A. C. B. de SOUSA, T. V. STOCK, V. de M. CRUZ, C. D. ZAMBOLIM, L. PEREIRA, A. P. |
dc.subject.por.fl_str_mv |
Molecular genetics Plant breeding Coffea arabica var. arabica |
topic |
Molecular genetics Plant breeding Coffea arabica var. arabica |
description |
Plant breeding aims to develop cultivars with good agronomic traits through gene recombination and elite genotype selection. To support Coffea arabica breeding programs and assist parent selection, molecular characterization, genetic diversity (GD) analyses, and circulating diallel studies were strategically integrated to develop new cultivars. Molecular markers were used to assess the GD of 76 candidate parents and verify the crossing of potential F1 hybrids. Based on the complementary agronomic traits and genetic distance, eight elite parents were selected for circulating diallel analysis. The parents and 12 hybrids were evaluated based on 10 morpho-agronomic traits. For each trait, the effects of general and specific combining abilities, as well as the averages of the parents, hybrids, and predicted hybrids, were estimated. Crosses that maximize the genetic gains for the main agronomic traits of C. arabica were identified. Joint analysis of phenotypic and molecular data was used to estimate the correlation between molecular GD, phenotypic diversity (PD), phenotypic mean, and combining ability. The selection of parents that optimize the allele combination for the important traits of C. arabica is discussed in detail. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2022-01-27T01:58:47Z 2022-01-27T01:58:47Z 2022-01-26 |
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 |
Frontiers in Sustainable Food Systems, v. 5, 705278, 2021. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139358 https://doi.org/10.3389/fsufs.2021.705278 |
identifier_str_mv |
Frontiers in Sustainable Food Systems, v. 5, 705278, 2021. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139358 https://doi.org/10.3389/fsufs.2021.705278 |
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.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) |
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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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1794503516899770368 |