Adaptability and stability of accessions of a rice core collection

Detalhes bibliográficos
Autor(a) principal: Bueno, Luíce Gomes
Data de Publicação: 2012
Outros Autores: Vianello, Rosana Pereira, Rangel, Paulo Nakano, Utumi, Marley Marico, Centeno, Antônio Carlos, Pereira, José Almeida, Franco, Daniel Fernandez, Neto, Francisco Moura, Mendonça, João Antônio, Coelho, Alexandre Siqueira, Oliveira, Jaison Pereira, Brondani, Claudio
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/11364
Resumo: The objective of this work was to determine the productive potential and the genotype by environment interaction of 550 accessions of the Embrapa’s Rice Core Collection. The performance, and yield adaptability and stability of each genotype was evaluated using the additive main effects and multiplicative interactions (AMMI) approach, in nine field experiments, carried out in six Brazilian states, under dry and irrigated conditions, during three years. The linear mixed model analysis was performed, and the estimates of the variance components were obtained by the residual maximum likelihood (REML), using the best linear unbiased prediction (BLUP) procedure for the prediction of the genotypic values of random effects (EBLUP) associated with each accession. The group of accessions with better performance was the one of lines and cultivars from Brazil (LCB), as expected. However, traditional varieties (VT) were identified among the bestyielding genotypes, which shows the potential of this germplasm group to contribute as a new source of geneticvariability to breeding programs. Superior accessions were identified for their stability, adaptability and grain yield, among which CA880078, CA840182 and CNA00091stand out.
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spelling Adaptability and stability of accessions of a rice core collectionAdaptabilidade e estabilidade de acessos de uma coleção nuclear de arrozOryza sativa; AMMI; agronomic characterization; mixed linear model; genetic resources; traditional varietiesOryza sativa; AMMI; caracterização agronômica; modelo linear misto; recursos genéticos; variedades tradicionaisThe objective of this work was to determine the productive potential and the genotype by environment interaction of 550 accessions of the Embrapa’s Rice Core Collection. The performance, and yield adaptability and stability of each genotype was evaluated using the additive main effects and multiplicative interactions (AMMI) approach, in nine field experiments, carried out in six Brazilian states, under dry and irrigated conditions, during three years. The linear mixed model analysis was performed, and the estimates of the variance components were obtained by the residual maximum likelihood (REML), using the best linear unbiased prediction (BLUP) procedure for the prediction of the genotypic values of random effects (EBLUP) associated with each accession. The group of accessions with better performance was the one of lines and cultivars from Brazil (LCB), as expected. However, traditional varieties (VT) were identified among the bestyielding genotypes, which shows the potential of this germplasm group to contribute as a new source of geneticvariability to breeding programs. Superior accessions were identified for their stability, adaptability and grain yield, among which CA880078, CA840182 and CNA00091stand out.O objetivo deste trabalho foi determinar o potencial produtivo e a interação entre genótipos e ambientes em 550 acessos da Coleção Nuclear de Arroz da Embrapa. O desempenho, a adaptação e a estabilidade produtiva de cada genótipo foram avaliados por meio da metodologia de análise dos efeitos principais aditivos e interações multiplicativas (AMMI), em nove experimentos de campo, realizados em seis Estados, em condição de sequeiro e irrigada, durante três anos agrícolas. Foi realizada a análise por meio de modelos lineares mistos, e as estimativas de componentes de variância foram obtidas pelo método de máxima verossimilhança residual (REML), com aplicação do procedimento de melhor predição linear não viesada (BLUP) para a predição dos valores genéticos dos efeitos aleatórios (EBLUP) associados a cada um dos acessos. O grupo de acessos com melhor desempenho foi o de linhagens e cultivares brasileiras (LCB), conforme o esperado. No entanto, foram identificadas variedades tradicionais (VT) entre os genótipos mais produtivos, o que mostra o potencial deste grupo de germoplasma em contribuir com novas fontes de variabilidade genética para programas de melhoramento. Foram identificados acessos superiores quanto à estabilidade, adaptabilidade e produtividade de grãos, entre os quais destacam-se CA880078, CA840182 e CNA00091. Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPqBueno, Luíce GomesVianello, Rosana PereiraRangel, Paulo NakanoUtumi, Marley MaricoCenteno, Antônio CarlosPereira, José AlmeidaFranco, Daniel FernandezNeto, Francisco MouraMendonça, João AntônioCoelho, Alexandre SiqueiraOliveira, Jaison PereiraBrondani, Claudio2012-04-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/11364Pesquisa Agropecuaria Brasileira; v.47, n.2, fev. 2012; 216-226Pesquisa Agropecuária Brasileira; v.47, n.2, fev. 2012; 216-2261678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/11364/6785https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11364/6864info:eu-repo/semantics/openAccess2012-06-17T12:19:22Zoai:ojs.seer.sct.embrapa.br:article/11364Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2012-06-17T12:19:22Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Adaptability and stability of accessions of a rice core collection
Adaptabilidade e estabilidade de acessos de uma coleção nuclear de arroz
title Adaptability and stability of accessions of a rice core collection
spellingShingle Adaptability and stability of accessions of a rice core collection
Bueno, Luíce Gomes
Oryza sativa; AMMI; agronomic characterization; mixed linear model; genetic resources; traditional varieties
Oryza sativa; AMMI; caracterização agronômica; modelo linear misto; recursos genéticos; variedades tradicionais
title_short Adaptability and stability of accessions of a rice core collection
title_full Adaptability and stability of accessions of a rice core collection
title_fullStr Adaptability and stability of accessions of a rice core collection
title_full_unstemmed Adaptability and stability of accessions of a rice core collection
title_sort Adaptability and stability of accessions of a rice core collection
author Bueno, Luíce Gomes
author_facet Bueno, Luíce Gomes
Vianello, Rosana Pereira
Rangel, Paulo Nakano
Utumi, Marley Marico
Centeno, Antônio Carlos
Pereira, José Almeida
Franco, Daniel Fernandez
Neto, Francisco Moura
Mendonça, João Antônio
Coelho, Alexandre Siqueira
Oliveira, Jaison Pereira
Brondani, Claudio
author_role author
author2 Vianello, Rosana Pereira
Rangel, Paulo Nakano
Utumi, Marley Marico
Centeno, Antônio Carlos
Pereira, José Almeida
Franco, Daniel Fernandez
Neto, Francisco Moura
Mendonça, João Antônio
Coelho, Alexandre Siqueira
Oliveira, Jaison Pereira
Brondani, Claudio
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv
CNPq
dc.contributor.author.fl_str_mv Bueno, Luíce Gomes
Vianello, Rosana Pereira
Rangel, Paulo Nakano
Utumi, Marley Marico
Centeno, Antônio Carlos
Pereira, José Almeida
Franco, Daniel Fernandez
Neto, Francisco Moura
Mendonça, João Antônio
Coelho, Alexandre Siqueira
Oliveira, Jaison Pereira
Brondani, Claudio
dc.subject.por.fl_str_mv Oryza sativa; AMMI; agronomic characterization; mixed linear model; genetic resources; traditional varieties
Oryza sativa; AMMI; caracterização agronômica; modelo linear misto; recursos genéticos; variedades tradicionais
topic Oryza sativa; AMMI; agronomic characterization; mixed linear model; genetic resources; traditional varieties
Oryza sativa; AMMI; caracterização agronômica; modelo linear misto; recursos genéticos; variedades tradicionais
description The objective of this work was to determine the productive potential and the genotype by environment interaction of 550 accessions of the Embrapa’s Rice Core Collection. The performance, and yield adaptability and stability of each genotype was evaluated using the additive main effects and multiplicative interactions (AMMI) approach, in nine field experiments, carried out in six Brazilian states, under dry and irrigated conditions, during three years. The linear mixed model analysis was performed, and the estimates of the variance components were obtained by the residual maximum likelihood (REML), using the best linear unbiased prediction (BLUP) procedure for the prediction of the genotypic values of random effects (EBLUP) associated with each accession. The group of accessions with better performance was the one of lines and cultivars from Brazil (LCB), as expected. However, traditional varieties (VT) were identified among the bestyielding genotypes, which shows the potential of this germplasm group to contribute as a new source of geneticvariability to breeding programs. Superior accessions were identified for their stability, adaptability and grain yield, among which CA880078, CA840182 and CNA00091stand out.
publishDate 2012
dc.date.none.fl_str_mv 2012-04-09
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/11364
url https://seer.sct.embrapa.br/index.php/pab/article/view/11364
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/11364/6785
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11364/6864
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eu_rights_str_mv openAccess
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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.47, n.2, fev. 2012; 216-226
Pesquisa Agropecuária Brasileira; v.47, n.2, fev. 2012; 216-226
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
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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)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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