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Registro Completo |
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Biblioteca(s): |
Embrapa Agropecuária Oeste; Embrapa Clima Temperado. |
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Data corrente: |
16/12/1997 |
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Data da última atualização: |
09/08/2022 |
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Tipo da produção científica: |
Circular Técnica |
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Autoria: |
SACHS, S.; HERTER, F. G.; NAKASU, B. H.; RASEIRA, M. do C. B.; FELICIANO, A. J.; CAMELATTO, D.; MEDEIROS, A. R. M. de; RASEIRA, A.; FONSECA, V. O. da; PEREIRA, J. F. M.; FINARDI, N. L.; MAGNANI, M.; FEHN, L. M.; SALLES, L. A. B. de; FELICIANO, A.; FLORES CANTILLANO, R. F.; SPERRY, S. |
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Afiliação: |
SERGIO SACHS, CPACT; FLAVIO GILBERTO HERTER, CPACT; BONIFACIO HIDEYUKI NAKASU, CPACT; MARIA DO CARMO BASSOLS RASEIRA, CPACT; ASCUNIA JIMENEZ FELICIANO, CPACT; DARCY CAMELATTO, CPACT; ANTONIO ROBERTO M DE MEDEIROS, CPACT; AILTON RASEIRA, CPACT; VERA OSORIO DA FONSECA; JOSE FRANCISCO MARTINS PEREIRA, CPACT; NELSON LUIZ FINARDI, CPACT; MARCIO MAGNANI, CPACT; LICELMA MARTINS FEHN, CPACT; LUIZ ANTONIO BENINCA DE SALLES, CPACT; ALBERTO FELICIANO, CPACT; RUFINO FERNANDO FLORES CANTILLANO, CPACT; SUZANA SPERRY, CPAC. |
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Título: |
A cultura do pessegueiro. |
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Ano de publicação: |
1984 |
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Fonte/Imprenta: |
Pelotas: EMBRAPA-CNPFT, 1984. |
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Páginas: |
156 p. |
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Série: |
(EMBRAPA-CNPFT. Circular Técnica, 10). |
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ISSN: |
0100-8110 |
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Idioma: |
Português |
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Conteúdo: |
Apresentação; Introdução; Localização do pomar; Cultivares; Propagação; Instalação do pomar; Tratos culturais; Poda; Raleio; Adubação e correção do solo; Pragas; Doenças; Guias de tratamentos fitossanitários; Colheita, classificação, embalagem e armazenagem; Bibliografia brasileira do pêssego. |
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Palavras-Chave: |
Centro Pesquisa Agropecuaria de Clima Temperado; Controle; Cultivar; EMBRAPA; Fertilizacao; Instalacao; Peach; Propagacao. |
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Thesagro: |
Armazenamento; Colheita; Doença; Embalagem; Pêssego; Poda; Pomar; Praga; Prunus Persica; Raleio. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01677nam a2200553 a 4500
001 1742994
005 2022-08-09
008 1984 bl uuuu 00u1 u #d
022 $a0100-8110
100 1 $aSACHS, S.
245 $aA cultura do pessegueiro.
260 $aPelotas: EMBRAPA-CNPFT$c1984
300 $a156 p.
490 $a(EMBRAPA-CNPFT. Circular Técnica, 10).
520 $aApresentação; Introdução; Localização do pomar; Cultivares; Propagação; Instalação do pomar; Tratos culturais; Poda; Raleio; Adubação e correção do solo; Pragas; Doenças; Guias de tratamentos fitossanitários; Colheita, classificação, embalagem e armazenagem; Bibliografia brasileira do pêssego.
650 $aArmazenamento
650 $aColheita
650 $aDoença
650 $aEmbalagem
650 $aPêssego
650 $aPoda
650 $aPomar
650 $aPraga
650 $aPrunus Persica
650 $aRaleio
653 $aCentro Pesquisa Agropecuaria de Clima Temperado
653 $aControle
653 $aCultivar
653 $aEMBRAPA
653 $aFertilizacao
653 $aInstalacao
653 $aPeach
653 $aPropagacao
700 1 $aHERTER, F. G.
700 1 $aNAKASU, B. H.
700 1 $aRASEIRA, M. do C. B.
700 1 $aFELICIANO, A. J.
700 1 $aCAMELATTO, D.
700 1 $aMEDEIROS, A. R. M. de
700 1 $aRASEIRA, A.
700 1 $aFONSECA, V. O. da
700 1 $aPEREIRA, J. F. M.
700 1 $aFINARDI, N. L.
700 1 $aMAGNANI, M.
700 1 $aFEHN, L. M.
700 1 $aSALLES, L. A. B. de
700 1 $aFELICIANO, A.
700 1 $aFLORES CANTILLANO, R. F.
700 1 $aSPERRY, S.
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
05/07/2019 |
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Data da última atualização: |
30/10/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
VOLPATO, L.; ALVES, R. S.; TEODORO, P. E.; RESENDE, M. D. V. de; NASCIMENTO, M.; NASCIMENTO, A. C. C.; LUDKE, W. H.; SILVA, F. L. da; BORÉM, A. |
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Afiliação: |
Leonardo Volpato, Universidade Federal de Viçosa; Rodrigo Silva Alves, Universidade Federal de Viçosa; Paulo Eduardo Teodoro, Universidade Federal de Mato Grosso do Sul; MARCOS DEON VILELA DE RESENDE, CNPF; Moysés Nascimento, Universidade Federal de Viçosa; Ana Carolina Campana Nascimento, Universidade Federal de Viçosa; Willian Hytalo Ludke, Universidade Federal de Viçosa; Felipe Lopes da Silva, Universidade Federal de Viçosa; Aluízio Borém, Universidade Federal de Viçosa. |
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Título: |
Multi-trait multi-environment models in the genetic selection of segregating soybean progeny. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
PLoS ONE, v. 14, n. 4, e0215315, Apr. 2019. 22 p. |
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DOI: |
10.1371/journal.pone.0215315 |
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Idioma: |
Inglês |
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Conteúdo: |
At present, single-trait best linear unbiased prediction (BLUP) is the standard method for genetic selection in soybean. However, when genetic selection is performed based on two or more genetically correlated traits and these are analyzed individually, selection bias may arise. Under these conditions, considering the correlation structure between the evaluated traits may provide more-accurate genetic estimates for the evaluated parameters, even under environmental influences. The present study was thus developed to examine the efficiency and applicability of multi-trait multi-environment (MTME) models by the residual maximum likelihood (REML/BLUP) and Bayesian approaches in the genetic selection of segregating soybean progeny. The study involved data pertaining to 203 soybean F2:4 progeny assessed in two environments for the following traits: number of days to maturity (DM), 100-seed weight (SW), and average seed yield per plot (SY). Variance components and genetic and non-genetic parameters were estimated via the REML/BLUP and Bayesian methods. The variance components estimated and the breeding values and genetic gains predicted with selection through the Bayesian procedure were similar to those obtained by REML/BLUP. The frequentist and Bayesian MTME models provided higher estimates of broad-sense heritability per plot (or heritability of total effects of progeny; h2 prog) and mean accuracy of progeny than their respective single-trait versions. Bayesian analysis provided the credibility intervals for the estimates of h2 prog. Therefore, MTME led to greater predicted gains from selection. On this basis, this procedure can be efficiently applied in the genetic selection of segregating soybean progeny. MenosAt present, single-trait best linear unbiased prediction (BLUP) is the standard method for genetic selection in soybean. However, when genetic selection is performed based on two or more genetically correlated traits and these are analyzed individually, selection bias may arise. Under these conditions, considering the correlation structure between the evaluated traits may provide more-accurate genetic estimates for the evaluated parameters, even under environmental influences. The present study was thus developed to examine the efficiency and applicability of multi-trait multi-environment (MTME) models by the residual maximum likelihood (REML/BLUP) and Bayesian approaches in the genetic selection of segregating soybean progeny. The study involved data pertaining to 203 soybean F2:4 progeny assessed in two environments for the following traits: number of days to maturity (DM), 100-seed weight (SW), and average seed yield per plot (SY). Variance components and genetic and non-genetic parameters were estimated via the REML/BLUP and Bayesian methods. The variance components estimated and the breeding values and genetic gains predicted with selection through the Bayesian procedure were similar to those obtained by REML/BLUP. The frequentist and Bayesian MTME models provided higher estimates of broad-sense heritability per plot (or heritability of total effects of progeny; h2 prog) and mean accuracy of progeny than their respective single-trait versions. Bayesian analysis provided... Mostrar Tudo |
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Palavras-Chave: |
Bayesian-inference; Breeding values; Genomic selection; Inferência Bayesian; Mixed models; Modelo misto; Seed protein; Seleção genômica. |
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Thesagro: |
Soja. |
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Thesaurus NAL: |
Agronomic traits; Prediction; Soybeans. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/199239/1/2019-M.Deon-PO-Multi-trait.pdf
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Marc: |
LEADER 02789naa a2200373 a 4500
001 2110400
005 2019-10-30
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1371/journal.pone.0215315$2DOI
100 1 $aVOLPATO, L.
245 $aMulti-trait multi-environment models in the genetic selection of segregating soybean progeny.$h[electronic resource]
260 $c2019
520 $aAt present, single-trait best linear unbiased prediction (BLUP) is the standard method for genetic selection in soybean. However, when genetic selection is performed based on two or more genetically correlated traits and these are analyzed individually, selection bias may arise. Under these conditions, considering the correlation structure between the evaluated traits may provide more-accurate genetic estimates for the evaluated parameters, even under environmental influences. The present study was thus developed to examine the efficiency and applicability of multi-trait multi-environment (MTME) models by the residual maximum likelihood (REML/BLUP) and Bayesian approaches in the genetic selection of segregating soybean progeny. The study involved data pertaining to 203 soybean F2:4 progeny assessed in two environments for the following traits: number of days to maturity (DM), 100-seed weight (SW), and average seed yield per plot (SY). Variance components and genetic and non-genetic parameters were estimated via the REML/BLUP and Bayesian methods. The variance components estimated and the breeding values and genetic gains predicted with selection through the Bayesian procedure were similar to those obtained by REML/BLUP. The frequentist and Bayesian MTME models provided higher estimates of broad-sense heritability per plot (or heritability of total effects of progeny; h2 prog) and mean accuracy of progeny than their respective single-trait versions. Bayesian analysis provided the credibility intervals for the estimates of h2 prog. Therefore, MTME led to greater predicted gains from selection. On this basis, this procedure can be efficiently applied in the genetic selection of segregating soybean progeny.
650 $aAgronomic traits
650 $aPrediction
650 $aSoybeans
650 $aSoja
653 $aBayesian-inference
653 $aBreeding values
653 $aGenomic selection
653 $aInferência Bayesian
653 $aMixed models
653 $aModelo misto
653 $aSeed protein
653 $aSeleção genômica
700 1 $aALVES, R. S.
700 1 $aTEODORO, P. E.
700 1 $aRESENDE, M. D. V. de
700 1 $aNASCIMENTO, M.
700 1 $aNASCIMENTO, A. C. C.
700 1 $aLUDKE, W. H.
700 1 $aSILVA, F. L. da
700 1 $aBORÉM, A.
773 $tPLoS ONE$gv. 14, n. 4, e0215315, Apr. 2019. 22 p.
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Registro original: |
Embrapa Florestas (CNPF) |
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