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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Amazônia Ocidental; Embrapa Cerrados; Embrapa Unidades Centrais. |
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Data corrente: |
26/10/1999 |
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Data da última atualização: |
30/08/2013 |
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Tipo da produção científica: |
Circular Técnica |
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Autoria: |
GASPAROTTO, L.; JUNQUEIRA, N. T. V.; PEREIRA, J. C. R. |
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Título: |
Doenças de citros no Estado do Amazonas. |
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Ano de publicação: |
1998 |
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Fonte/Imprenta: |
Manaus: EMBRAPA-CPAA, 1998. |
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Páginas: |
20 p., il. |
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Série: |
(EMBRAPA-CPAA. Circular Técnica, 6). |
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ISSN: |
0103-6890 |
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Idioma: |
Português |
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Conteúdo: |
Informacoes sobre as principais doencas que atacam os citros no Amazonas, com descricoes dos sintomas e controle. |
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Palavras-Chave: |
Amazonas; Brasil; Canopodium citri; Elsinoe australis; Elsinoe fawcetti; Leprose citritica; Manaus; Plant diseases; Rhizoctonia solanum; Septobasidium pseudopedicellatum; Septobasidum saccardinum. |
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Thesagro: |
Brevipalpus Phoenicis; Colletotrichum Gloeosporioides; Controle Cultural; Controle Químico; Doença; Espécie; Flor; Fruta Cítrica; Fruto; Fumagina; Gomose; Mancha Aureolada; Phytophthora; Podridão; Pythium Aphanidermatum; Queima do Broto; Rosellinia; Sintoma; Thanatephorus Cucumeris; Tombamento de Planta; Tristeza Cítrica; Verrugose. |
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Thesaurus Nal: |
Brazil; Citrus; citrus fruits; Closterovirus. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPAA-2009-09/2791/1/circ_tec6_98.pdf
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Marc: |
LEADER 01700nam a2200613 a 4500
001 1666582
005 2013-08-30
008 1998 bl uuuu u0uu1 u #d
022 $a0103-6890
100 1 $aGASPAROTTO, L.
245 $aDoenças de citros no Estado do Amazonas.
260 $aManaus: EMBRAPA-CPAA$c1998
300 $a20 p., il.
490 $a(EMBRAPA-CPAA. Circular Técnica, 6).
520 $aInformacoes sobre as principais doencas que atacam os citros no Amazonas, com descricoes dos sintomas e controle.
650 $aBrazil
650 $aCitrus
650 $acitrus fruits
650 $aClosterovirus
650 $aBrevipalpus Phoenicis
650 $aColletotrichum Gloeosporioides
650 $aControle Cultural
650 $aControle Químico
650 $aDoença
650 $aEspécie
650 $aFlor
650 $aFruta Cítrica
650 $aFruto
650 $aFumagina
650 $aGomose
650 $aMancha Aureolada
650 $aPhytophthora
650 $aPodridão
650 $aPythium Aphanidermatum
650 $aQueima do Broto
650 $aRosellinia
650 $aSintoma
650 $aThanatephorus Cucumeris
650 $aTombamento de Planta
650 $aTristeza Cítrica
650 $aVerrugose
653 $aAmazonas
653 $aBrasil
653 $aCanopodium citri
653 $aElsinoe australis
653 $aElsinoe fawcetti
653 $aLeprose citritica
653 $aManaus
653 $aPlant diseases
653 $aRhizoctonia solanum
653 $aSeptobasidium pseudopedicellatum
653 $aSeptobasidum saccardinum
700 1 $aJUNQUEIRA, N. T. V.
700 1 $aPEREIRA, J. C. R.
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Café; Embrapa Florestas. |
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Data corrente: |
19/02/2019 |
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Data da última atualização: |
17/10/2019 |
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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: |
SOUSA, T. V.; CAIXETA, E. T.; ALKIMIM, E. R.; OLIVEIRA, A. C. B. de; PEREIRA, A. A.; SAKIYAMA, N. S.; ZAMBOLIM, L.; RESENDE, M. D. V. de. |
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Afiliação: |
TIAGO VIEIRA SOUSA, BIOAGRO/BioCafé/Universidade Federal de Viçosa - UFV; EVELINE TEIXEIRA CAIXETA, CNPCa; EMILLY RUAS ALKIMIM, Universidade Federal do Triângulo Mineiro - UFTM; ANTONIO CARLOS BAIAO DE OLIVEIRA, CNPCa; ANTONIO ALVES PEREIRA, Empresa de Pesquisa Agropecuária de Minas Gerais – Epamig; NEY SUSSUMU SAKIYAMA, Universidade Federal de Viçosa - UFV/Departamento de Fitotecnia; LAÉRCIO ZAMBOLIM, Universidade Federal de Viçosa - UFV/Departamento de Fitopatologia; MARCOS DEON VILELA DE RESENDE, CNPF. |
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Título: |
Early Selection Enabled by the Implementation of Genomic Selection in Coffea arabica Breeding. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v. 9, January 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic Selection (GS) has allowed the maximization of genetic gains per unit time in several annual and perennial plant species. However, no GS studies have addressed Coffea arabica, the most economically important species of the genus Coffea. Therefore, this study aimed (i) to evaluate the applicability and accuracy of GS in the prediction of the genomic estimated breeding value (GEBV); (ii) to estimate the genetic parameters; and (iii) to evaluate the time reduction of the selection cycle by GS in Arabica coffee breeding. A total of 195 Arabica coffee individuals, belonging to 13 families in generation of F2, susceptible backcross and resistant backcross, were phenotyped for 18 agronomic traits, and genotyped with 21,211 SNP molecular markers. Phenotypic data, measured in 2014, 2015, and 2016, were analyzed by mixed models. GS analyses were performed by the G-BLUPmethod, using the RKHS (Reproducing Kernel Hilbert Spaces) procedure, with a Bayesian algorithm. Heritabilities and selective accuracies were estimated, revealing moderate to high magnitude for most of the traits evaluated. Results of GS analyses showed the possibility of reducing the cycle time by 50%, maximizing selection gains per unit time. The effect of marker density on GS analyses was evaluated. Genomic selection proved to be promising for C. arabica breeding. The agronomic traits presented high complexity for they are controlled by several QTL and showed low genomic heritabilities, evidencing the need to incorporate genomic selection methodologies to the breeding programs of this species. MenosGenomic Selection (GS) has allowed the maximization of genetic gains per unit time in several annual and perennial plant species. However, no GS studies have addressed Coffea arabica, the most economically important species of the genus Coffea. Therefore, this study aimed (i) to evaluate the applicability and accuracy of GS in the prediction of the genomic estimated breeding value (GEBV); (ii) to estimate the genetic parameters; and (iii) to evaluate the time reduction of the selection cycle by GS in Arabica coffee breeding. A total of 195 Arabica coffee individuals, belonging to 13 families in generation of F2, susceptible backcross and resistant backcross, were phenotyped for 18 agronomic traits, and genotyped with 21,211 SNP molecular markers. Phenotypic data, measured in 2014, 2015, and 2016, were analyzed by mixed models. GS analyses were performed by the G-BLUPmethod, using the RKHS (Reproducing Kernel Hilbert Spaces) procedure, with a Bayesian algorithm. Heritabilities and selective accuracies were estimated, revealing moderate to high magnitude for most of the traits evaluated. Results of GS analyses showed the possibility of reducing the cycle time by 50%, maximizing selection gains per unit time. The effect of marker density on GS analyses was evaluated. Genomic selection proved to be promising for C. arabica breeding. The agronomic traits presented high complexity for they are controlled by several QTL and showed low genomic heritabilities, evidencing the need to ... Mostrar Tudo |
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Palavras-Chave: |
Accelerating improvement; Complex traits; Ganho genético; Genetic gains; Genomic-enabled prediction accuracy; Selective efficiency; SNP molecular marker. |
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Thesagro: |
Café; Coffea Arábica. |
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Thesaurus NAL: |
Plant breeding. |
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Categoria do assunto: |
--
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/193820/1/Early-selection-enabled-by-the-implementation.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/197479/1/2019-M.Deon-FPS-Early.pdf
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Marc: |
LEADER 02545naa a2200325 a 4500
001 2106798
005 2019-10-17
008 2019 bl uuuu u00u1 u #d
100 1 $aSOUSA, T. V.
245 $aEarly Selection Enabled by the Implementation of Genomic Selection in Coffea arabica Breeding.$h[electronic resource]
260 $c2019
520 $aGenomic Selection (GS) has allowed the maximization of genetic gains per unit time in several annual and perennial plant species. However, no GS studies have addressed Coffea arabica, the most economically important species of the genus Coffea. Therefore, this study aimed (i) to evaluate the applicability and accuracy of GS in the prediction of the genomic estimated breeding value (GEBV); (ii) to estimate the genetic parameters; and (iii) to evaluate the time reduction of the selection cycle by GS in Arabica coffee breeding. A total of 195 Arabica coffee individuals, belonging to 13 families in generation of F2, susceptible backcross and resistant backcross, were phenotyped for 18 agronomic traits, and genotyped with 21,211 SNP molecular markers. Phenotypic data, measured in 2014, 2015, and 2016, were analyzed by mixed models. GS analyses were performed by the G-BLUPmethod, using the RKHS (Reproducing Kernel Hilbert Spaces) procedure, with a Bayesian algorithm. Heritabilities and selective accuracies were estimated, revealing moderate to high magnitude for most of the traits evaluated. Results of GS analyses showed the possibility of reducing the cycle time by 50%, maximizing selection gains per unit time. The effect of marker density on GS analyses was evaluated. Genomic selection proved to be promising for C. arabica breeding. The agronomic traits presented high complexity for they are controlled by several QTL and showed low genomic heritabilities, evidencing the need to incorporate genomic selection methodologies to the breeding programs of this species.
650 $aPlant breeding
650 $aCafé
650 $aCoffea Arábica
653 $aAccelerating improvement
653 $aComplex traits
653 $aGanho genético
653 $aGenetic gains
653 $aGenomic-enabled prediction accuracy
653 $aSelective efficiency
653 $aSNP molecular marker
700 1 $aCAIXETA, E. T.
700 1 $aALKIMIM, E. R.
700 1 $aOLIVEIRA, A. C. B. de
700 1 $aPEREIRA, A. A.
700 1 $aSAKIYAMA, N. S.
700 1 $aZAMBOLIM, L.
700 1 $aRESENDE, M. D. V. de
773 $tFrontiers in Plant Science$gv. 9, January 2019.
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Registro original: |
Embrapa Café (CNPCa) |
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