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Registro Completo |
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Biblioteca(s): |
Embrapa Café; Embrapa Mandioca e Fruticultura. |
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Data corrente: |
21/01/2022 |
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Data da última atualização: |
05/12/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Can cross-country genomic predictions be a reasonable strategy to support germplasm exchange? A case study with hydrogen cyanide in cassava. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v. 12, 742638, 2021. |
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ISSN: |
1664-462X |
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DOI: |
https://doi.org/10.3389/fpls.2021.742638 |
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Idioma: |
Inglês |
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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 |
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Thesagro: |
Cianeto; Genoma; Germoplasma; Mandioca. |
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Thesaurus Nal: |
Breeding; Cassava; Genomics; Hydrogen cyanide; Population structure. |
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Categoria do assunto: |
-- |
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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: |
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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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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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| 1. |  | 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. Can cross-country genomic predictions be a reasonable strategy to support germplasm exchange? A case study with hydrogen cyanide in cassava. Frontiers in Plant Science, v. 12, 742638, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Café; Embrapa Mandioca e Fruticultura. |
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