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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
30/06/2016 |
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Data da última atualização: |
30/06/2016 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
RIOS, E.; RESENDE, M.; KIRST, M.; RESENDE, M. D. V. de; ALMEIDA FILHO, J. E. de; MUNOZ, P. |
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Afiliação: |
Esteban Rios, University of Florida; Marcio Resende, RAPiD Genomics LLC; Matias Kirst, UFPR; MARCOS DEON VILELA DE RESENDE, CNPF; Janeo E. de Almeida Filho, UFV; Patricio Munoz, UFPR. |
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Título: |
Predictive ability of Genomic Estimated Family Values (GEFV). |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P1186. |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection (GS) has been used to compute genomic estimated breeding values (GEBV) of individuals; however, it has only been applied to animal and major plant crops due to high costs. Besides, breeding and selection is performed at the family level in some crops. We aimed to study the implementation of genome-wide family selection (GWFS) in two loblolly pine (Pinus taeda L.) populations: i) the breeding population CCLONES composed of 63 families (5-20 individuals per family), phenotyped for four traits (stem diameter, stem rust susceptibility, tree stiffness and lignin content) and genotyped using an Illumina Infinium assay with 4740 polymorphic SNPs, and ii) a simulated population that reproduced the same pedigree as CCLONES, 5000 polymorphic loci and two traits (oligogenic and polygenic). In both populations, phenotypic and genotypic data was pooled at the family level in silico. Phenotypes were averaged across replicates for all the individuals and allele frequency was computed for each SNP. Marker effects were estimated at the individual (GEBV) and family (GEFV) levels with Bayes-B using the package BGLR in R and models were validated using 10-fold cross validations. Predicted ability, computed by correlating phenotypes with GEBV and GEFV, was always higher for GEFV in both populations, even after standardizing GEFV predictions to be comparable to GEBV. Results revealed great potential for using GWFS in breeding programs that select families, such as most outbreeding forage species. A significant drop in genotyping costs as one sample per family is needed would allow the application of GWFS in minor crops. MenosGenomic selection (GS) has been used to compute genomic estimated breeding values (GEBV) of individuals; however, it has only been applied to animal and major plant crops due to high costs. Besides, breeding and selection is performed at the family level in some crops. We aimed to study the implementation of genome-wide family selection (GWFS) in two loblolly pine (Pinus taeda L.) populations: i) the breeding population CCLONES composed of 63 families (5-20 individuals per family), phenotyped for four traits (stem diameter, stem rust susceptibility, tree stiffness and lignin content) and genotyped using an Illumina Infinium assay with 4740 polymorphic SNPs, and ii) a simulated population that reproduced the same pedigree as CCLONES, 5000 polymorphic loci and two traits (oligogenic and polygenic). In both populations, phenotypic and genotypic data was pooled at the family level in silico. Phenotypes were averaged across replicates for all the individuals and allele frequency was computed for each SNP. Marker effects were estimated at the individual (GEBV) and family (GEFV) levels with Bayes-B using the package BGLR in R and models were validated using 10-fold cross validations. Predicted ability, computed by correlating phenotypes with GEBV and GEFV, was always higher for GEFV in both populations, even after standardizing GEFV predictions to be comparable to GEBV. Results revealed great potential for using GWFS in breeding programs that select families, such as most outbreedi... Mostrar Tudo |
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Palavras-Chave: |
Melhoramento genético. |
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Thesagro: |
Melhoramento vegetal; Pinus Taeda. |
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Thesaurus Nal: |
Plant breeding. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/144954/1/2016-M.Deon-IPAG-Predicty-Ability.pdf
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Marc: |
LEADER 02338nam a2200217 a 4500
001 2048088
005 2016-06-30
008 2016 bl uuuu u00u1 u #d
100 1 $aRIOS, E.
245 $aPredictive ability of Genomic Estimated Family Values (GEFV).$h[electronic resource]
260 $aIn: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P1186.$c1186
520 $aGenomic selection (GS) has been used to compute genomic estimated breeding values (GEBV) of individuals; however, it has only been applied to animal and major plant crops due to high costs. Besides, breeding and selection is performed at the family level in some crops. We aimed to study the implementation of genome-wide family selection (GWFS) in two loblolly pine (Pinus taeda L.) populations: i) the breeding population CCLONES composed of 63 families (5-20 individuals per family), phenotyped for four traits (stem diameter, stem rust susceptibility, tree stiffness and lignin content) and genotyped using an Illumina Infinium assay with 4740 polymorphic SNPs, and ii) a simulated population that reproduced the same pedigree as CCLONES, 5000 polymorphic loci and two traits (oligogenic and polygenic). In both populations, phenotypic and genotypic data was pooled at the family level in silico. Phenotypes were averaged across replicates for all the individuals and allele frequency was computed for each SNP. Marker effects were estimated at the individual (GEBV) and family (GEFV) levels with Bayes-B using the package BGLR in R and models were validated using 10-fold cross validations. Predicted ability, computed by correlating phenotypes with GEBV and GEFV, was always higher for GEFV in both populations, even after standardizing GEFV predictions to be comparable to GEBV. Results revealed great potential for using GWFS in breeding programs that select families, such as most outbreeding forage species. A significant drop in genotyping costs as one sample per family is needed would allow the application of GWFS in minor crops.
650 $aPlant breeding
650 $aMelhoramento vegetal
650 $aPinus Taeda
653 $aMelhoramento genético
700 1 $aRESENDE, M.
700 1 $aKIRST, M.
700 1 $aRESENDE, M. D. V. de
700 1 $aALMEIDA FILHO, J. E. de
700 1 $aMUNOZ, P.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
05/06/2020 |
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Data da última atualização: |
18/09/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
JESUS NETA, P. de; OLIVEIRA, L. A. de; JESUS, J. L. de; NASCIMENTO, A. S. do; SANTOS, V. da S. |
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Afiliação: |
PALMIRA DE JESUS NETA, UFRB; LUCIANA ALVES DE OLIVEIRA, CNPMF; JACIENE LOPES DE JESUS, CNPMF; ARCSON SOUSA DO NASCIMENTO, FAMAM; VANDERLEI DA SILVA SANTOS, CNPMF. |
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Título: |
Caracterização química de clones de mandioca de mesa em três épocas de colheita. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
In: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 13., 2019. Foco e valor : resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura,2019. 119 p. il. |
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Idioma: |
Português |
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Thesagro: |
Mandioca. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/213755/1/ANAIS-2019-Ainfo-76.pdf
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Marc: |
LEADER 00626nam a2200157 a 4500
001 2123077
005 2020-09-18
008 2019 bl uuuu u00u1 u #d
100 1 $aJESUS NETA, P. de
245 $aCaracterização química de clones de mandioca de mesa em três épocas de colheita.$h[electronic resource]
260 $aIn: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 13., 2019. Foco e valor : resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura,2019. 119 p. il.$c2019
650 $aMandioca
700 1 $aOLIVEIRA, L. A. de
700 1 $aJESUS, J. L. de
700 1 $aNASCIMENTO, A. S. do
700 1 $aSANTOS, V. da S.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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