Strategy for selection of drought-tolerant arabica coffee genotypes in Brazil.
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/1150626 https://doi.org/10.3390/agronomy12092167 |
Resumo: | This study aimed to establish a strategy for drought-tolerant selection in Arabica coffee genotypes in Brazil, combining field trials under natural conditions with controlled growth condition experiments. A group of genotypes was evaluated in the greenhouse using 28 morphological, anatomical, and physiological traits. In addition, the productivity of genotypes was evaluated in the field. Under water deficit in the greenhouse, 13 studied traits showed significant genetic variance. For these traits, the heritability coefficients estimated based on the progeny mean ranged from 65 to 92%. A selection index combined with predicted means was applied at these traits to select four progenies for drought tolerance under greenhouse conditions. Under field conditions, the selection applied to genetic values that favored positive genetic gains in four progenies, indicating the potential use of these cultivars for breeding advanced generations. The selection results of coffee plants under greenhouse conditions matched the selection results in the field in a water-deficit region by 50% based on productivity; thus, two genotypes (H419-3-3-7-16-11 and H516-2-1-1-7-2) were identified that have both the productivity and morpho-anatomical traits that confer greater drought tolerance. Finally, we discussed possible strategies for the development of drought-tolerant cultivars. |
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Strategy for selection of drought-tolerant arabica coffee genotypes in Brazil.Coffea arabica var. arabicaGenotypeSelection indexPlant breedingThis study aimed to establish a strategy for drought-tolerant selection in Arabica coffee genotypes in Brazil, combining field trials under natural conditions with controlled growth condition experiments. A group of genotypes was evaluated in the greenhouse using 28 morphological, anatomical, and physiological traits. In addition, the productivity of genotypes was evaluated in the field. Under water deficit in the greenhouse, 13 studied traits showed significant genetic variance. For these traits, the heritability coefficients estimated based on the progeny mean ranged from 65 to 92%. A selection index combined with predicted means was applied at these traits to select four progenies for drought tolerance under greenhouse conditions. Under field conditions, the selection applied to genetic values that favored positive genetic gains in four progenies, indicating the potential use of these cultivars for breeding advanced generations. The selection results of coffee plants under greenhouse conditions matched the selection results in the field in a water-deficit region by 50% based on productivity; thus, two genotypes (H419-3-3-7-16-11 and H516-2-1-1-7-2) were identified that have both the productivity and morpho-anatomical traits that confer greater drought tolerance. Finally, we discussed possible strategies for the development of drought-tolerant cultivars.VÂNIA APARECIDA SILVA, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; JULIANA COSTA DE REZENDE ABRAHÃO, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; ANDRÉ MORAES REIS, UNIVERSIDADE FEDERAL DE LAVRAS; MELINE DE OLIVEIRA SANTOS, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; ANTÔNIO ALVES PEREIRA, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; CESAR ELIAS BOTELHO, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; GLADYSTON RODRIGUES CARVALHO, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; EVARISTO MAURO DE CASTRO, UNIVERSIDADE FEDERAL DE LAVRAS; JOÃO PAULO RODRIGUES ALVES DELFINO BARBOSA, UNIVERSIDADE FEDERAL DE LAVRAS; GUSTAVO PUCCI BOTEGA, UNIVERSIDADE FEDERAL DE LAVRAS; ANTONIO CARLOS BAIAO DE OLIVEIRA, CNPCa.SILVA, V. A.ABRAHÃO, J. C. de R.REIS, A. M.SANTOS, M. de O.PEREIRA, A. A.BOTELHO, C. E.CARVALHO, G. R.CASTRO, E. M.BARBOSA, J. P. R. A. D.BOTEGA, G. P.OLIVEIRA, A. C. B. de2023-01-04T16:01:20Z2023-01-04T16:01:20Z2023-01-042022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article13 p.Agronomy, v. 12, n. 9, 2022.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1150626https://doi.org/10.3390/agronomy12092167enginfo: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:EMBRAPA2023-01-04T16:01:20Zoai:www.alice.cnptia.embrapa.br:doc/1150626Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-01-04T16:01:20falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-01-04T16:01:20Repositório 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 |
Strategy for selection of drought-tolerant arabica coffee genotypes in Brazil. |
title |
Strategy for selection of drought-tolerant arabica coffee genotypes in Brazil. |
spellingShingle |
Strategy for selection of drought-tolerant arabica coffee genotypes in Brazil. SILVA, V. A. Coffea arabica var. arabica Genotype Selection index Plant breeding |
title_short |
Strategy for selection of drought-tolerant arabica coffee genotypes in Brazil. |
title_full |
Strategy for selection of drought-tolerant arabica coffee genotypes in Brazil. |
title_fullStr |
Strategy for selection of drought-tolerant arabica coffee genotypes in Brazil. |
title_full_unstemmed |
Strategy for selection of drought-tolerant arabica coffee genotypes in Brazil. |
title_sort |
Strategy for selection of drought-tolerant arabica coffee genotypes in Brazil. |
author |
SILVA, V. A. |
author_facet |
SILVA, V. A. ABRAHÃO, J. C. de R. REIS, A. M. SANTOS, M. de O. PEREIRA, A. A. BOTELHO, C. E. CARVALHO, G. R. CASTRO, E. M. BARBOSA, J. P. R. A. D. BOTEGA, G. P. OLIVEIRA, A. C. B. de |
author_role |
author |
author2 |
ABRAHÃO, J. C. de R. REIS, A. M. SANTOS, M. de O. PEREIRA, A. A. BOTELHO, C. E. CARVALHO, G. R. CASTRO, E. M. BARBOSA, J. P. R. A. D. BOTEGA, G. P. OLIVEIRA, A. C. B. de |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
VÂNIA APARECIDA SILVA, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; JULIANA COSTA DE REZENDE ABRAHÃO, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; ANDRÉ MORAES REIS, UNIVERSIDADE FEDERAL DE LAVRAS; MELINE DE OLIVEIRA SANTOS, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; ANTÔNIO ALVES PEREIRA, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; CESAR ELIAS BOTELHO, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; GLADYSTON RODRIGUES CARVALHO, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; EVARISTO MAURO DE CASTRO, UNIVERSIDADE FEDERAL DE LAVRAS; JOÃO PAULO RODRIGUES ALVES DELFINO BARBOSA, UNIVERSIDADE FEDERAL DE LAVRAS; GUSTAVO PUCCI BOTEGA, UNIVERSIDADE FEDERAL DE LAVRAS; ANTONIO CARLOS BAIAO DE OLIVEIRA, CNPCa. |
dc.contributor.author.fl_str_mv |
SILVA, V. A. ABRAHÃO, J. C. de R. REIS, A. M. SANTOS, M. de O. PEREIRA, A. A. BOTELHO, C. E. CARVALHO, G. R. CASTRO, E. M. BARBOSA, J. P. R. A. D. BOTEGA, G. P. OLIVEIRA, A. C. B. de |
dc.subject.por.fl_str_mv |
Coffea arabica var. arabica Genotype Selection index Plant breeding |
topic |
Coffea arabica var. arabica Genotype Selection index Plant breeding |
description |
This study aimed to establish a strategy for drought-tolerant selection in Arabica coffee genotypes in Brazil, combining field trials under natural conditions with controlled growth condition experiments. A group of genotypes was evaluated in the greenhouse using 28 morphological, anatomical, and physiological traits. In addition, the productivity of genotypes was evaluated in the field. Under water deficit in the greenhouse, 13 studied traits showed significant genetic variance. For these traits, the heritability coefficients estimated based on the progeny mean ranged from 65 to 92%. A selection index combined with predicted means was applied at these traits to select four progenies for drought tolerance under greenhouse conditions. Under field conditions, the selection applied to genetic values that favored positive genetic gains in four progenies, indicating the potential use of these cultivars for breeding advanced generations. The selection results of coffee plants under greenhouse conditions matched the selection results in the field in a water-deficit region by 50% based on productivity; thus, two genotypes (H419-3-3-7-16-11 and H516-2-1-1-7-2) were identified that have both the productivity and morpho-anatomical traits that confer greater drought tolerance. Finally, we discussed possible strategies for the development of drought-tolerant cultivars. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2023-01-04T16:01:20Z 2023-01-04T16:01:20Z 2023-01-04 |
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 |
Agronomy, v. 12, n. 9, 2022. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1150626 https://doi.org/10.3390/agronomy12092167 |
identifier_str_mv |
Agronomy, v. 12, n. 9, 2022. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1150626 https://doi.org/10.3390/agronomy12092167 |
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 |
13 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 |
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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1794503537042915328 |