Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding.

Detalhes bibliográficos
Autor(a) principal: MEDEIROS, A. C.
Data de Publicação: 2021
Outros Autores: CAIXETA, E. T., OLIVEIRA, A. C. B. de, SOUSA, T. V., STOCK, V. de M., CRUZ, C. D., ZAMBOLIM, L., PEREIRA, A. P.
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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spelling 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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