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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
07/12/2017 |
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Data da última atualização: |
07/12/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRAO, M. A. G.; FONSECA, A. F. A. da; GARCIA, A. A. F. |
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Afiliação: |
LUIS FELIPE VENTORIM FERRÃO, DG/ESALQ; ROMÁRIO GAVA FERRÃO, INCAPER; MARIA AMELIA GAVA FERRAO, SAPC; AYMBIRE FRANCISCO A DA FONSECA, SAPC; ANTONIO AUGUSTO FRANCO GARCIA, DG/ESALQ. |
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Título: |
A mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Tree Genetics & Genomes, v. 13, n. 95, 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-by-sequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodness-of-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10–17% higher) and lower prediction errors than traditional GBLUP. The results may be used as basis for additional studies into the genus Coffea and can be expanded for similar perennial crops. MenosGenomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-by-sequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodness-of-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10–17% higher) and lower prediction errors than tr... Mostrar Tudo |
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Palavras-Chave: |
GBLUP; Genotyping-by-sequencing; Multi-environment trials; Perennial crops. |
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Thesaurus Nal: |
Marker-assisted selection. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/168435/1/A-mixed-model-to-multiple-harvest-location.pdf
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Marc: |
LEADER 02351naa a2200229 a 4500
001 2081803
005 2017-12-07
008 2017 bl uuuu u00u1 u #d
100 1 $aFERRÃO, L. F. V.
245 $aA mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora.$h[electronic resource]
260 $c2017
520 $aGenomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-by-sequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodness-of-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10–17% higher) and lower prediction errors than traditional GBLUP. The results may be used as basis for additional studies into the genus Coffea and can be expanded for similar perennial crops.
650 $aMarker-assisted selection
653 $aGBLUP
653 $aGenotyping-by-sequencing
653 $aMulti-environment trials
653 $aPerennial crops
700 1 $aFERRÃO, R. G.
700 1 $aFERRAO, M. A. G.
700 1 $aFONSECA, A. F. A. da
700 1 $aGARCIA, A. A. F.
773 $tTree Genetics & Genomes$gv. 13, n. 95, 2017.
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Registro original: |
Embrapa Café (CNPCa) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agrossilvipastoril; Embrapa Florestas. |
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Data corrente: |
08/07/2016 |
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Data da última atualização: |
26/07/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 5 |
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Autoria: |
ANJOS, A. F. T. dos; SARTORI. W. W.; TONINI, H.; MORALES, M. M.; PORFIRIO-DA-SILVA, V. |
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Afiliação: |
Arthur Faganello Teodoro dos Anjos, UFMT; Wyllian Winckler Sartori, UFMT; HELIO TONINI, CPAMT; MARINA MOURA MORALES, CNPF; VANDERLEY PORFIRIO DA SILVA, CNPF. |
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Título: |
Performance and quality of wood in a clone of Eucalyptus in monoculture and silvipastoral system. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Nativa, Sinop, v. 4, n. 2, p. 77-81, mar./abr. 2016. |
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DOI: |
10.14583/2318-7670.v04n02a04 |
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Idioma: |
Inglês |
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Conteúdo: |
Este trabalho foi desenvolvido com o objetivo de avaliar e comparar o desempenho e as variações na
qualidade da madeirade árvores de eucalipto implantadas em sistema silvipastoril e em monocultivo. Os dados
foram coletados em 13 árvores amostras aos 36 meses de idade, selecionadas em função do intervalo de confiança
da média dos diâmetros a altura do peito (DAP), e da posição das árvores na faixa de plantio no sistema silvipastoril,
com face de exposição sul, norte e central. Foram avaliadas as variáveis DAP, altura total e altura comercial, volume
e conicidade do tronco, densidade básica e deslocamento da medula. Concluiu-se que no sistema silvipastoril as
árvores apresentaram maior DAP, menor altura total e maior conicidade do tronco que no monocultivo. O DAP
não diferiu em relação à posição na faixa de plantio, porém as árvores com face de exposição norte foram mais
baixas e cônicas. A densidade básica e o deslocamento da medula não foram influenciados pelo sistema de cultivo. |
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Palavras-Chave: |
Espécie exótica; Sistemas integrados de produção. |
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Thesagro: |
Clone; Eucalyptus Grandis; Eucalyptus Urophylla; Híbrido; Reprodução assexuada. |
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Thesaurus NAL: |
Clones; Hybrids; Integrated agricultural systems. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/145550/1/2016-cpamt-tonini-clone-eucalipto.pdf
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Marc: |
LEADER 01963naa a2200301 a 4500
001 2049109
005 2016-07-26
008 2016 bl uuuu u00u1 u #d
024 7 $a10.14583/2318-7670.v04n02a04$2DOI
100 1 $aANJOS, A. F. T. dos
245 $aPerformance and quality of wood in a clone of Eucalyptus in monoculture and silvipastoral system.$h[electronic resource]
260 $c2016
520 $aEste trabalho foi desenvolvido com o objetivo de avaliar e comparar o desempenho e as variações na qualidade da madeirade árvores de eucalipto implantadas em sistema silvipastoril e em monocultivo. Os dados foram coletados em 13 árvores amostras aos 36 meses de idade, selecionadas em função do intervalo de confiança da média dos diâmetros a altura do peito (DAP), e da posição das árvores na faixa de plantio no sistema silvipastoril, com face de exposição sul, norte e central. Foram avaliadas as variáveis DAP, altura total e altura comercial, volume e conicidade do tronco, densidade básica e deslocamento da medula. Concluiu-se que no sistema silvipastoril as árvores apresentaram maior DAP, menor altura total e maior conicidade do tronco que no monocultivo. O DAP não diferiu em relação à posição na faixa de plantio, porém as árvores com face de exposição norte foram mais baixas e cônicas. A densidade básica e o deslocamento da medula não foram influenciados pelo sistema de cultivo.
650 $aClones
650 $aHybrids
650 $aIntegrated agricultural systems
650 $aClone
650 $aEucalyptus Grandis
650 $aEucalyptus Urophylla
650 $aHíbrido
650 $aReprodução assexuada
653 $aEspécie exótica
653 $aSistemas integrados de produção
700 1 $aSARTORI. W. W.
700 1 $aTONINI, H.
700 1 $aMORALES, M. M.
700 1 $aPORFIRIO-DA-SILVA, V.
773 $tNativa, Sinop$gv. 4, n. 2, p. 77-81, mar./abr. 2016.
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Registro original: |
Embrapa Agrossilvipastoril (CPAMT) |
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