Cupuaçu tree genotype selection for an agroforestry system environment in the Amazon
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Publication Date: | 2021 |
Other Authors: | , , , , |
Format: | Article |
Language: | eng |
Source: | Pesquisa Agropecuária Brasileira (Online) |
Download full: | https://seer.sct.embrapa.br/index.php/pab/article/view/26892 |
Summary: | The objective of this work was to select cupuaçu (Theobroma grandiflorum) tree progenies and individuals based on their agronomic traits, and, indirectly, to identify those adapted to an agroforestry system (AFS) environment in the Brazilian Amazon. For this purpose, 25 full-sib progenies were planted and tested in consortium with black pepper (Piper nigrum), banana (Musa spp.), and bacuri (Platonia insignis) trees. The experiment was carried out in a randomized complete block design, with five replicates and three plants per plot, from 2005 to 2019. For the statistical analyses, the phenotypic averages for production and incidence of witches’ broom disease, evaluated during 11 harvests, were used. Superior progenies and individuals were identified using the mixed model methodology (REML/BLUP), which led to the selection of ten plants from five families with superior agronomic traits. Cupuaçu tree progenies 6, 36, 37, 49, and 52 are the ones that best adapt to the environment of a multispecies AFS in the Amazon region because of their agronomic traits under competitive conditions. Ten matrices show agronomic potential and indirect adaptation to the AFS and can be used as clonal cupuaçu cultivars in this environment. |
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Cupuaçu tree genotype selection for an agroforestry system environment in the AmazonSeleção de genótipos de cupuaçu para um ambiente de sistema agroflorestal na AmazôniaTheobroma grandiflorum; fruit tree breeding; genetic selection; REML/BLUPTheobroma grandiflorum; melhoramento de fruteiras; seleção genética; REML/BLUPThe objective of this work was to select cupuaçu (Theobroma grandiflorum) tree progenies and individuals based on their agronomic traits, and, indirectly, to identify those adapted to an agroforestry system (AFS) environment in the Brazilian Amazon. For this purpose, 25 full-sib progenies were planted and tested in consortium with black pepper (Piper nigrum), banana (Musa spp.), and bacuri (Platonia insignis) trees. The experiment was carried out in a randomized complete block design, with five replicates and three plants per plot, from 2005 to 2019. For the statistical analyses, the phenotypic averages for production and incidence of witches’ broom disease, evaluated during 11 harvests, were used. Superior progenies and individuals were identified using the mixed model methodology (REML/BLUP), which led to the selection of ten plants from five families with superior agronomic traits. Cupuaçu tree progenies 6, 36, 37, 49, and 52 are the ones that best adapt to the environment of a multispecies AFS in the Amazon region because of their agronomic traits under competitive conditions. Ten matrices show agronomic potential and indirect adaptation to the AFS and can be used as clonal cupuaçu cultivars in this environment.O objetivo deste trabalho foi selecionar progênies e indivíduos de cupuaçuzeiro (Theobroma grandiflorum) com base em características agronômicas e, indiretamente, identificar aqueles adaptados a um ambiente de sistema agroflorestal (SAF) na Amazônia brasileira. Para tanto, 25 progênies de irmãos completos foram plantadas e testadas em consórcio com pimenta-do-reino (Piper nigrum), banana (Musa spp.) e bacuri (Platonia insignis). O experimento foi realizado em delineamento de blocos ao acaso, com cinco repetições e três plantas por parcela, de 2005 a 2019. Para as análises estatísticas, foram utilizadas as médias fenotípicas de produção e incidência da vassoura de bruxa avaliadas durante 11 safras. Progênies e indivíduos superiores foram identificados pela metodologia de modelos mistos (REML/BLUP), o que resultou na seleção de dez plantas de cinco famílias com características agronômicas superiores. As progênies de cupuaçu 6, 36, 37, 49 e 52 são as que melhor se adaptam ao ambiente de um SAF multiespécies na região amazônica, em razão de suas características agronômicas em condições competitivas. Dez matrizes apresentam potencial agronômico e adaptação indireta ao SAF e podem ser utilizadas como cultivares clonais de cupuaçu nesse ambiente.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes)Fundação de Amparo à Pesquisa do Estado de Minas GeraisEmbrapa Amazônia OrientaConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes)Fundação de Amparo à Pesquisa do Estado de Minas GeraisEmbrapa Amazônia OrientalAlves, Rafael MoysésChaves, Saulo Fabrício da SilvaAlves, Rodrigo SilvaSantos, Thalita Gomes dosAraújo, Dênmora Gomes deResende, Marcos Deon Vilela de2021-02-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/26892Pesquisa Agropecuaria Brasileira; V.56, Jan./Dec., 2021: Publicação contínua em volume anual; e02139Pesquisa Agropecuária Brasileira; V.56, Jan./Dec., 2021: Publicação contínua em volume anual; e021391678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/26892/14851Direitos autorais 2021 Pesquisa Agropecuária Brasileirainfo:eu-repo/semantics/openAccess2022-05-18T18:27:35Zoai:ojs.seer.sct.embrapa.br:article/26892Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2022-05-18T18:27:35Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Cupuaçu tree genotype selection for an agroforestry system environment in the Amazon Seleção de genótipos de cupuaçu para um ambiente de sistema agroflorestal na Amazônia |
title |
Cupuaçu tree genotype selection for an agroforestry system environment in the Amazon |
spellingShingle |
Cupuaçu tree genotype selection for an agroforestry system environment in the Amazon Alves, Rafael Moysés Theobroma grandiflorum; fruit tree breeding; genetic selection; REML/BLUP Theobroma grandiflorum; melhoramento de fruteiras; seleção genética; REML/BLUP |
title_short |
Cupuaçu tree genotype selection for an agroforestry system environment in the Amazon |
title_full |
Cupuaçu tree genotype selection for an agroforestry system environment in the Amazon |
title_fullStr |
Cupuaçu tree genotype selection for an agroforestry system environment in the Amazon |
title_full_unstemmed |
Cupuaçu tree genotype selection for an agroforestry system environment in the Amazon |
title_sort |
Cupuaçu tree genotype selection for an agroforestry system environment in the Amazon |
author |
Alves, Rafael Moysés |
author_facet |
Alves, Rafael Moysés Chaves, Saulo Fabrício da Silva Alves, Rodrigo Silva Santos, Thalita Gomes dos Araújo, Dênmora Gomes de Resende, Marcos Deon Vilela de |
author_role |
author |
author2 |
Chaves, Saulo Fabrício da Silva Alves, Rodrigo Silva Santos, Thalita Gomes dos Araújo, Dênmora Gomes de Resende, Marcos Deon Vilela de |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes) Fundação de Amparo à Pesquisa do Estado de Minas Gerais Embrapa Amazônia Orienta Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes) Fundação de Amparo à Pesquisa do Estado de Minas Gerais Embrapa Amazônia Oriental |
dc.contributor.author.fl_str_mv |
Alves, Rafael Moysés Chaves, Saulo Fabrício da Silva Alves, Rodrigo Silva Santos, Thalita Gomes dos Araújo, Dênmora Gomes de Resende, Marcos Deon Vilela de |
dc.subject.por.fl_str_mv |
Theobroma grandiflorum; fruit tree breeding; genetic selection; REML/BLUP Theobroma grandiflorum; melhoramento de fruteiras; seleção genética; REML/BLUP |
topic |
Theobroma grandiflorum; fruit tree breeding; genetic selection; REML/BLUP Theobroma grandiflorum; melhoramento de fruteiras; seleção genética; REML/BLUP |
description |
The objective of this work was to select cupuaçu (Theobroma grandiflorum) tree progenies and individuals based on their agronomic traits, and, indirectly, to identify those adapted to an agroforestry system (AFS) environment in the Brazilian Amazon. For this purpose, 25 full-sib progenies were planted and tested in consortium with black pepper (Piper nigrum), banana (Musa spp.), and bacuri (Platonia insignis) trees. The experiment was carried out in a randomized complete block design, with five replicates and three plants per plot, from 2005 to 2019. For the statistical analyses, the phenotypic averages for production and incidence of witches’ broom disease, evaluated during 11 harvests, were used. Superior progenies and individuals were identified using the mixed model methodology (REML/BLUP), which led to the selection of ten plants from five families with superior agronomic traits. Cupuaçu tree progenies 6, 36, 37, 49, and 52 are the ones that best adapt to the environment of a multispecies AFS in the Amazon region because of their agronomic traits under competitive conditions. Ten matrices show agronomic potential and indirect adaptation to the AFS and can be used as clonal cupuaçu cultivars in this environment. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-02-22 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/26892 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/26892 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/26892/14851 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2021 Pesquisa Agropecuária Brasileira info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2021 Pesquisa Agropecuária Brasileira |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; V.56, Jan./Dec., 2021: Publicação contínua em volume anual; e02139 Pesquisa Agropecuária Brasileira; V.56, Jan./Dec., 2021: Publicação contínua em volume anual; e02139 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
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Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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