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Registro Completo |
Biblioteca(s): |
Embrapa Agroindústria Tropical; Embrapa Florestas. |
Data corrente: |
25/08/2005 |
Data da última atualização: |
21/06/2016 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
FURLANI, R. C. M.; MORAES, M. L. T. de; RESENDE, M. D. V. de; FURLANI JUNIOR, E.; GONÇALVES, P. de S.; VALÉRIO FILHO. W. V.; PAIVA, J. R. de. |
Afiliação: |
Resende, Pesquisador da Embrapa Florestas. |
Título: |
Estimation of variance components and prediction of breeding values in rubber tree breeding using the REML/BLUP procedure. |
Ano de publicação: |
2005 |
Fonte/Imprenta: |
Genetics and Molecular Biology, Ribeirão Preto, v. 28, n. 2, p. 271-276, 2005. |
Idioma: |
Inglês |
Palavras-Chave: |
Breeding strategies; Effective population size; Linear mixed mode; Melhoramento genético; Modelo linear misto; Rubber tree improvement; Tamanho da população. |
Thesagro: |
Hevea Brasiliensis; Seringueira. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/38138/1/gmb-deon.pdf
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Marc: |
LEADER 00979naa a2200289 a 4500 001 1298791 005 2016-06-21 008 2005 bl uuuu u00u1 u #d 100 1 $aFURLANI, R. C. M. 245 $aEstimation of variance components and prediction of breeding values in rubber tree breeding using the REML/BLUP procedure.$h[electronic resource] 260 $c2005 650 $aHevea Brasiliensis 650 $aSeringueira 653 $aBreeding strategies 653 $aEffective population size 653 $aLinear mixed mode 653 $aMelhoramento genético 653 $aModelo linear misto 653 $aRubber tree improvement 653 $aTamanho da população 700 1 $aMORAES, M. L. T. de 700 1 $aRESENDE, M. D. V. de 700 1 $aFURLANI JUNIOR, E. 700 1 $aGONÇALVES, P. de S. 700 1 $aVALÉRIO FILHO. W. V. 700 1 $aPAIVA, J. R. de 773 $tGenetics and Molecular Biology, Ribeirão Preto$gv. 28, n. 2, p. 271-276, 2005.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
Biblioteca(s): |
Embrapa Café; Embrapa Mandioca e Fruticultura. |
Data corrente: |
21/01/2022 |
Data da última atualização: |
05/12/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
TORRES, L. G.; OLIVEIRA, E. J. de; OGBONNA, A. C.; BAUCHET, G. J.; MUELLER, L. A.; AZEVEDO, C. F.; SILVA, F. F.; SIMIQUELI, G. F.; RESENDE, M. D. V. de. |
Afiliação: |
LÍVIA GOMES TORRES, UFV; EDER JORGE DE OLIVEIRA, CNPMF; ALEX C. OGBONNA, CORNELL UNIVERSITY; GUILLAUME J. BAUCHET, BOYCE THOMPSON INSTITUTE; LUKAS A. MUELLER, CORNELL UNIVERSITY; CAMILA FERREIRA AZEVEDO, UFV; FABYANO FONSECA E SILVA, UFV; GUILHERME FERREIRA SIMIQUELI, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa. |
Título: |
Can cross-country genomic predictions be a reasonable strategy to support germplasm exchange? A case study with hydrogen cyanide in cassava. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Frontiers in Plant Science, v. 12, 742638, 2021. |
ISSN: |
1664-462X |
DOI: |
https://doi.org/10.3389/fpls.2021.742638 |
Idioma: |
Inglês |
Conteúdo: |
Genomic prediction (GP) offers great opportunities for accelerated genetic gains by optimizing the breeding pipeline. One of the key factors to be considered is how the training populations (TP) are composed in terms of genetic improvement, kinship/origin, and their impacts on GP. Hydrogen cyanide content (HCN) is a determinant trait to guide cassava?s products usage and processing. This work aimed to achieve the following objectives: (i) evaluate the feasibility of using cross-country (CC) GP between germplasm?s of Embrapa Mandioca e Fruticultura (Embrapa, Brazil) and The International Institute of Tropical Agriculture (IITA, Nigeria) for HCN; (ii) provide an assessment of population structure for the joint dataset; (iii) estimate the genetic parameters based on single nucleotide polymorphisms (SNPs) and a haplotype-approach. Datasets of HCN from Embrapa and IITA breeding programs were analyzed, separately and jointly, with 1,230, 590, and 1,820 clones, respectively. After quality control, ~14K SNPs were used for GP. The genomic estimated breeding values (GEBVs) were predicted based on SNP effects from analyses with TP composed of the following: (i) Embrapa genotypic and phenotypic data, (ii) IITA genotypic and phenotypic data, and (iii) the joint datasets. Comparisons on GEBVs' estimation were made considering the hypothetical situation of not having the phenotypic characterization for a set of clones for a certain research institute/country and might need to use the markers? effects that were trained with data from other research institutes/country's germplasm to estimate their clones? GEBV. Fixation index (FST) among the genetic groups identified within the joint dataset ranged from 0.002 to 0.091. The joint dataset provided an improved accuracy (0.8-0.85) compared to the prediction accuracy of either germplasm?s sources individually (0.51-0.67). CC GP proved to have potential use under the present study's scenario, the correlation between GEBVs predicted with TP from Embrapa and IITA was 0.55 for Embrapa's germplasm, whereas for IITA?s it was 0.1. This seems to be among the first attempts to evaluate the CC GP in plants. As such, a lot of useful new information was provided on the subject, which can guide new research on this very important and emerging field. MenosGenomic prediction (GP) offers great opportunities for accelerated genetic gains by optimizing the breeding pipeline. One of the key factors to be considered is how the training populations (TP) are composed in terms of genetic improvement, kinship/origin, and their impacts on GP. Hydrogen cyanide content (HCN) is a determinant trait to guide cassava?s products usage and processing. This work aimed to achieve the following objectives: (i) evaluate the feasibility of using cross-country (CC) GP between germplasm?s of Embrapa Mandioca e Fruticultura (Embrapa, Brazil) and The International Institute of Tropical Agriculture (IITA, Nigeria) for HCN; (ii) provide an assessment of population structure for the joint dataset; (iii) estimate the genetic parameters based on single nucleotide polymorphisms (SNPs) and a haplotype-approach. Datasets of HCN from Embrapa and IITA breeding programs were analyzed, separately and jointly, with 1,230, 590, and 1,820 clones, respectively. After quality control, ~14K SNPs were used for GP. The genomic estimated breeding values (GEBVs) were predicted based on SNP effects from analyses with TP composed of the following: (i) Embrapa genotypic and phenotypic data, (ii) IITA genotypic and phenotypic data, and (iii) the joint datasets. Comparisons on GEBVs' estimation were made considering the hypothetical situation of not having the phenotypic characterization for a set of clones for a certain research institute/country and might need to use the marke... Mostrar Tudo |
Thesagro: |
Cianeto; Genoma; Germoplasma; Mandioca. |
Thesaurus NAL: |
Breeding; Cassava; Genomics; Hydrogen cyanide; Population structure. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1149230/1/Santos-et-al-ASA-2023.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230436/1/can-cross-country.pdf
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Marc: |
LEADER 03330naa a2200349 a 4500 001 2149230 005 2022-12-05 008 2021 bl uuuu u00u1 u #d 022 $a1664-462X 024 7 $ahttps://doi.org/10.3389/fpls.2021.742638$2DOI 100 1 $aTORRES, L. G. 245 $aCan cross-country genomic predictions be a reasonable strategy to support germplasm exchange? A case study with hydrogen cyanide in cassava.$h[electronic resource] 260 $c2021 520 $aGenomic prediction (GP) offers great opportunities for accelerated genetic gains by optimizing the breeding pipeline. One of the key factors to be considered is how the training populations (TP) are composed in terms of genetic improvement, kinship/origin, and their impacts on GP. Hydrogen cyanide content (HCN) is a determinant trait to guide cassava?s products usage and processing. This work aimed to achieve the following objectives: (i) evaluate the feasibility of using cross-country (CC) GP between germplasm?s of Embrapa Mandioca e Fruticultura (Embrapa, Brazil) and The International Institute of Tropical Agriculture (IITA, Nigeria) for HCN; (ii) provide an assessment of population structure for the joint dataset; (iii) estimate the genetic parameters based on single nucleotide polymorphisms (SNPs) and a haplotype-approach. Datasets of HCN from Embrapa and IITA breeding programs were analyzed, separately and jointly, with 1,230, 590, and 1,820 clones, respectively. After quality control, ~14K SNPs were used for GP. The genomic estimated breeding values (GEBVs) were predicted based on SNP effects from analyses with TP composed of the following: (i) Embrapa genotypic and phenotypic data, (ii) IITA genotypic and phenotypic data, and (iii) the joint datasets. Comparisons on GEBVs' estimation were made considering the hypothetical situation of not having the phenotypic characterization for a set of clones for a certain research institute/country and might need to use the markers? effects that were trained with data from other research institutes/country's germplasm to estimate their clones? GEBV. Fixation index (FST) among the genetic groups identified within the joint dataset ranged from 0.002 to 0.091. The joint dataset provided an improved accuracy (0.8-0.85) compared to the prediction accuracy of either germplasm?s sources individually (0.51-0.67). CC GP proved to have potential use under the present study's scenario, the correlation between GEBVs predicted with TP from Embrapa and IITA was 0.55 for Embrapa's germplasm, whereas for IITA?s it was 0.1. This seems to be among the first attempts to evaluate the CC GP in plants. As such, a lot of useful new information was provided on the subject, which can guide new research on this very important and emerging field. 650 $aBreeding 650 $aCassava 650 $aGenomics 650 $aHydrogen cyanide 650 $aPopulation structure 650 $aCianeto 650 $aGenoma 650 $aGermoplasma 650 $aMandioca 700 1 $aOLIVEIRA, E. J. de 700 1 $aOGBONNA, A. C. 700 1 $aBAUCHET, G. J. 700 1 $aMUELLER, L. A. 700 1 $aAZEVEDO, C. F. 700 1 $aSILVA, F. F. 700 1 $aSIMIQUELI, G. F. 700 1 $aRESENDE, M. D. V. de 773 $tFrontiers in Plant Science$gv. 12, 742638, 2021.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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