Genomic selection for productive traits in biparental cassava breeding populations.

Detalhes bibliográficos
Autor(a) principal: TORRES, L. G.
Data de Publicação: 2019
Outros Autores: RESENDE, M. D. V. de, AZEVEDO, K C. F., SILVA, F. F. e, OLIVEIRA, E. J. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114068
https://doi.org/10.1371/ journal.pone.0220245
Resumo: Cassava improvement using traditional breeding strategies is slow due to the species? long breeding cycle. However, the use of genomic selection can lead to a shorter breeding cycle. This study aimed to estimate genetic parameters for productive traits based on pedigree (pedigree and phenotypic information) and genomic (markers and phenotypic information) analyses using biparental crosses at different stages of selection. A total of 290 clones were genotyped and phenotyped for fresh root yield (FRY), dry matter content (DMC), dry yield (DY), fresh shoot yield (FSY) and harvest index (HI). The clones were evaluated in clonal evaluation trials (CET), preliminary yield trials (PYT), advanced yield trials (AYT) and uniform yield trials (UYT), from 2013 to 2018 in ten locations. The breeding stages were analyzed as follows: one stage (CET), two stages (CET and PYT), three stages (CET, PYT and AYT) and four stages (CET, PYT, AYT and UYT). The genomic predictions were analyzed via k-fold cross-validation based on the genomic best linear unbiased prediction (GBLUP) considering a model with genetic additive effects and genotype × location interactions. Genomic and pedigree accuracies were moderate to high (0.56?0.72 and 0.62?0.78, respectively) for important starch-related traits such as DY and FRY; when considering one breeding stage (CET) with the aim of early selection, the genomic accuracies ranged from 0.60 (DMC) to 0.71 (HI). Moreover, the correlations between the genomic estimation breeding values of one-stage genomic analysis and the estimated breeding values of the four-stage (full data set) pedigree analysis were high for all traits as well as for a selection index including all traits. The results indicate great possibilities for genomic selection in cassava, especially for selection early in the breeding cycle (saving time and effort).
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spelling Genomic selection for productive traits in biparental cassava breeding populations.Melhoramento genéticoMandiocaCassavaPlant breedingCassava improvement using traditional breeding strategies is slow due to the species? long breeding cycle. However, the use of genomic selection can lead to a shorter breeding cycle. This study aimed to estimate genetic parameters for productive traits based on pedigree (pedigree and phenotypic information) and genomic (markers and phenotypic information) analyses using biparental crosses at different stages of selection. A total of 290 clones were genotyped and phenotyped for fresh root yield (FRY), dry matter content (DMC), dry yield (DY), fresh shoot yield (FSY) and harvest index (HI). The clones were evaluated in clonal evaluation trials (CET), preliminary yield trials (PYT), advanced yield trials (AYT) and uniform yield trials (UYT), from 2013 to 2018 in ten locations. The breeding stages were analyzed as follows: one stage (CET), two stages (CET and PYT), three stages (CET, PYT and AYT) and four stages (CET, PYT, AYT and UYT). The genomic predictions were analyzed via k-fold cross-validation based on the genomic best linear unbiased prediction (GBLUP) considering a model with genetic additive effects and genotype × location interactions. Genomic and pedigree accuracies were moderate to high (0.56?0.72 and 0.62?0.78, respectively) for important starch-related traits such as DY and FRY; when considering one breeding stage (CET) with the aim of early selection, the genomic accuracies ranged from 0.60 (DMC) to 0.71 (HI). Moreover, the correlations between the genomic estimation breeding values of one-stage genomic analysis and the estimated breeding values of the four-stage (full data set) pedigree analysis were high for all traits as well as for a selection index including all traits. The results indicate great possibilities for genomic selection in cassava, especially for selection early in the breeding cycle (saving time and effort).LÍVIA GOMES TORRES, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; CAMILA FERREIRA AZEVEDO, UFV; FABYANO FONSECA E SILVA, UFV; EDER JORGE DE OLIVEIRA, CNPMF.TORRES, L. G.RESENDE, M. D. V. deAZEVEDO, K C. F.SILVA, F. F. eOLIVEIRA, E. J. de2019-11-08T18:17:13Z2019-11-08T18:17:13Z2019-11-0820192019-11-13T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePLoS ONE, v. 14, n. 7, e0220245, July 2019. 20 p.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114068https://doi.org/10.1371/ journal.pone.0220245enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-11-08T18:17:20Zoai:www.alice.cnptia.embrapa.br:doc/1114068Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-11-08T18:17:20falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-11-08T18:17:20Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Genomic selection for productive traits in biparental cassava breeding populations.
title Genomic selection for productive traits in biparental cassava breeding populations.
spellingShingle Genomic selection for productive traits in biparental cassava breeding populations.
TORRES, L. G.
Melhoramento genético
Mandioca
Cassava
Plant breeding
title_short Genomic selection for productive traits in biparental cassava breeding populations.
title_full Genomic selection for productive traits in biparental cassava breeding populations.
title_fullStr Genomic selection for productive traits in biparental cassava breeding populations.
title_full_unstemmed Genomic selection for productive traits in biparental cassava breeding populations.
title_sort Genomic selection for productive traits in biparental cassava breeding populations.
author TORRES, L. G.
author_facet TORRES, L. G.
RESENDE, M. D. V. de
AZEVEDO, K C. F.
SILVA, F. F. e
OLIVEIRA, E. J. de
author_role author
author2 RESENDE, M. D. V. de
AZEVEDO, K C. F.
SILVA, F. F. e
OLIVEIRA, E. J. de
author2_role author
author
author
author
dc.contributor.none.fl_str_mv LÍVIA GOMES TORRES, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; CAMILA FERREIRA AZEVEDO, UFV; FABYANO FONSECA E SILVA, UFV; EDER JORGE DE OLIVEIRA, CNPMF.
dc.contributor.author.fl_str_mv TORRES, L. G.
RESENDE, M. D. V. de
AZEVEDO, K C. F.
SILVA, F. F. e
OLIVEIRA, E. J. de
dc.subject.por.fl_str_mv Melhoramento genético
Mandioca
Cassava
Plant breeding
topic Melhoramento genético
Mandioca
Cassava
Plant breeding
description Cassava improvement using traditional breeding strategies is slow due to the species? long breeding cycle. However, the use of genomic selection can lead to a shorter breeding cycle. This study aimed to estimate genetic parameters for productive traits based on pedigree (pedigree and phenotypic information) and genomic (markers and phenotypic information) analyses using biparental crosses at different stages of selection. A total of 290 clones were genotyped and phenotyped for fresh root yield (FRY), dry matter content (DMC), dry yield (DY), fresh shoot yield (FSY) and harvest index (HI). The clones were evaluated in clonal evaluation trials (CET), preliminary yield trials (PYT), advanced yield trials (AYT) and uniform yield trials (UYT), from 2013 to 2018 in ten locations. The breeding stages were analyzed as follows: one stage (CET), two stages (CET and PYT), three stages (CET, PYT and AYT) and four stages (CET, PYT, AYT and UYT). The genomic predictions were analyzed via k-fold cross-validation based on the genomic best linear unbiased prediction (GBLUP) considering a model with genetic additive effects and genotype × location interactions. Genomic and pedigree accuracies were moderate to high (0.56?0.72 and 0.62?0.78, respectively) for important starch-related traits such as DY and FRY; when considering one breeding stage (CET) with the aim of early selection, the genomic accuracies ranged from 0.60 (DMC) to 0.71 (HI). Moreover, the correlations between the genomic estimation breeding values of one-stage genomic analysis and the estimated breeding values of the four-stage (full data set) pedigree analysis were high for all traits as well as for a selection index including all traits. The results indicate great possibilities for genomic selection in cassava, especially for selection early in the breeding cycle (saving time and effort).
publishDate 2019
dc.date.none.fl_str_mv 2019-11-08T18:17:13Z
2019-11-08T18:17:13Z
2019-11-08
2019
2019-11-13T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv PLoS ONE, v. 14, n. 7, e0220245, July 2019. 20 p.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114068
https://doi.org/10.1371/ journal.pone.0220245
identifier_str_mv PLoS ONE, v. 14, n. 7, e0220245, July 2019. 20 p.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114068
https://doi.org/10.1371/ journal.pone.0220245
dc.language.iso.fl_str_mv eng
language eng
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instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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