Genomic selection for productive traits in biparental cassava breeding populations.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
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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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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503483415592960 |