Building the Embrapa rice breeding dataset for efficient data reuse.
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/1132588 https://doi.org/10.1002/csc2.20550 |
Resumo: | Embrapa has led breeding programs for irrigated and upland rice (Oryza sativa L.) since 1977, generating a large amount of pedigree and phenotypic data. However, there were no systematic standards for data recording nor long-term data preservation and reuse strategies. With the new aim of making data reuse practical, we recovered all data available and structured it into the Embrapa Rice Breeding Dataset (ERBD). In its current version, the ERBD includes 20,504 crosses involving 9,974 parents, the pedigrees of most of the 4,532 inbred lines that took part in advanced field trials, and phenotypic data from 2,711 field trials (1,118 irrigated, 1,593 upland trials), representing 226,458 field plots. Those trials were conducted over 38 years (1982-2019), in 247 locations, in latitudes ranging from 3°N to 33°S. Phenotypic traits included grain yield, days to flowering, plant height, canopy lodging, and five important fungal diseases: leaf blast, panicle blast, brown spot, leaf scald, and grain discoloration. The total number of data points surpasses 1.27 million. Descriptive statistics were computed over the dataset, split by cropping systems (irrigated or upland). The mean heritability of grain yield was high for both systems, at around .7, whereas the mean coefficient of variation was 13.9% for irrigated trials and 18.7% for upland trials. The ERBD offers the possibility of conducting studies on different aspects of rice breeding and genetics, including genetic gain, G×E analysis, genome-wide association studies and genomic prediction. |
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Building the Embrapa rice breeding dataset for efficient data reuse.Banco de dadosArrozOryza SativaMelhoramento Genético VegetalFenótipoRicePlant breedingDatabasesGeneticsEmbrapa has led breeding programs for irrigated and upland rice (Oryza sativa L.) since 1977, generating a large amount of pedigree and phenotypic data. However, there were no systematic standards for data recording nor long-term data preservation and reuse strategies. With the new aim of making data reuse practical, we recovered all data available and structured it into the Embrapa Rice Breeding Dataset (ERBD). In its current version, the ERBD includes 20,504 crosses involving 9,974 parents, the pedigrees of most of the 4,532 inbred lines that took part in advanced field trials, and phenotypic data from 2,711 field trials (1,118 irrigated, 1,593 upland trials), representing 226,458 field plots. Those trials were conducted over 38 years (1982-2019), in 247 locations, in latitudes ranging from 3°N to 33°S. Phenotypic traits included grain yield, days to flowering, plant height, canopy lodging, and five important fungal diseases: leaf blast, panicle blast, brown spot, leaf scald, and grain discoloration. The total number of data points surpasses 1.27 million. Descriptive statistics were computed over the dataset, split by cropping systems (irrigated or upland). The mean heritability of grain yield was high for both systems, at around .7, whereas the mean coefficient of variation was 13.9% for irrigated trials and 18.7% for upland trials. The ERBD offers the possibility of conducting studies on different aspects of rice breeding and genetics, including genetic gain, G×E analysis, genome-wide association studies and genomic prediction.FLAVIO BRESEGHELLO, CNPAF; RAQUEL NEVES DE MELLO, CNPAF; PATRICIA VALLE PINHEIRO, CNPAF; DINO MAGALHAES SOARES, CNPAF; SERGIO LOPES JUNIOR, CNPAF; PAULO HIDEO NAKANO RANGEL, CNPAF; ELCIO PERPETUO GUIMARAES, CNPAF; ADRIANO PEREIRA DE CASTRO, CNPAF; JOSE MANOEL COLOMBARI FILHO, CNPAF; ARIANO MARTINS DE MAGALHAES JUNIOR, CPACT; PAULO RICARDO REIS FAGUNDES, CPACT; PERICLES DE CARVALHO FERREIRA NEVES, CNPAF; ISABELA VOLPI FURTINI, CNPAF; MARLEY MARICO UTUMI, CPAF-RO; JOSE ALMEIDA PEREIRA, CPAMN; ANTONIO CARLOS CENTENO CORDEIRO, CPAF-RR; AUSTRELINO SILVEIRA FILHO, CPATU; GUILHERME BARBOSA ABREU, CPACP; FRANCISCO PEREIRA MOURA NETO, CNPAF; JULIAN PIETRAGALLA, INTEGRATED BREEDING PLATFORM, Texcoco, Mexico; MATEO VARGAS HERNÁNDEZ, CIMMYT, Texcoco-Mexico; JOSE CROSSA, CIMMYT, Texcoco-Mexico.BRESEGHELLO, F.MELLO, R. N. dePINHEIRO, P. V.SOARES, D. M.LOPES JUNIOR, S.RANGEL, P. H. N.GUIMARÃES, E. P.CASTRO, A. P. deCOLOMBARI FILHO, J. M.MAGALHÃES JUNIOR, A. M. deFAGUNDES, P. R. R.NEVES, P. de C. F.FURTINI, I. V.UTUMI, M. M.PEREIRA, J. A.CORDEIRO, A. C. C.SILVEIRA FILHO, A.ABREU, G. B.MOURA NETO, F. P.PIETRAGALLA, J.VARGAS HERNÁNDEZ, M.CROSSA, J.2021-11-30T12:00:26Z2021-11-30T12:00:26Z2021-06-282021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCrop Science, v. 61, n. 5, p. 3445-3457, Sept./Oct. 2021.0011-183Xhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1132588https://doi.org/10.1002/csc2.20550enginfo: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:EMBRAPA2021-11-30T12:00:37Zoai:www.alice.cnptia.embrapa.br:doc/1132588Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-11-30T12:00:37Repositório 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 |
Building the Embrapa rice breeding dataset for efficient data reuse. |
title |
Building the Embrapa rice breeding dataset for efficient data reuse. |
spellingShingle |
Building the Embrapa rice breeding dataset for efficient data reuse. BRESEGHELLO, F. Banco de dados Arroz Oryza Sativa Melhoramento Genético Vegetal Fenótipo Rice Plant breeding Databases Genetics |
title_short |
Building the Embrapa rice breeding dataset for efficient data reuse. |
title_full |
Building the Embrapa rice breeding dataset for efficient data reuse. |
title_fullStr |
Building the Embrapa rice breeding dataset for efficient data reuse. |
title_full_unstemmed |
Building the Embrapa rice breeding dataset for efficient data reuse. |
title_sort |
Building the Embrapa rice breeding dataset for efficient data reuse. |
author |
BRESEGHELLO, F. |
author_facet |
BRESEGHELLO, F. MELLO, R. N. de PINHEIRO, P. V. SOARES, D. M. LOPES JUNIOR, S. RANGEL, P. H. N. GUIMARÃES, E. P. CASTRO, A. P. de COLOMBARI FILHO, J. M. MAGALHÃES JUNIOR, A. M. de FAGUNDES, P. R. R. NEVES, P. de C. F. FURTINI, I. V. UTUMI, M. M. PEREIRA, J. A. CORDEIRO, A. C. C. SILVEIRA FILHO, A. ABREU, G. B. MOURA NETO, F. P. PIETRAGALLA, J. VARGAS HERNÁNDEZ, M. CROSSA, J. |
author_role |
author |
author2 |
MELLO, R. N. de PINHEIRO, P. V. SOARES, D. M. LOPES JUNIOR, S. RANGEL, P. H. N. GUIMARÃES, E. P. CASTRO, A. P. de COLOMBARI FILHO, J. M. MAGALHÃES JUNIOR, A. M. de FAGUNDES, P. R. R. NEVES, P. de C. F. FURTINI, I. V. UTUMI, M. M. PEREIRA, J. A. CORDEIRO, A. C. C. SILVEIRA FILHO, A. ABREU, G. B. MOURA NETO, F. P. PIETRAGALLA, J. VARGAS HERNÁNDEZ, M. CROSSA, J. |
author2_role |
author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
FLAVIO BRESEGHELLO, CNPAF; RAQUEL NEVES DE MELLO, CNPAF; PATRICIA VALLE PINHEIRO, CNPAF; DINO MAGALHAES SOARES, CNPAF; SERGIO LOPES JUNIOR, CNPAF; PAULO HIDEO NAKANO RANGEL, CNPAF; ELCIO PERPETUO GUIMARAES, CNPAF; ADRIANO PEREIRA DE CASTRO, CNPAF; JOSE MANOEL COLOMBARI FILHO, CNPAF; ARIANO MARTINS DE MAGALHAES JUNIOR, CPACT; PAULO RICARDO REIS FAGUNDES, CPACT; PERICLES DE CARVALHO FERREIRA NEVES, CNPAF; ISABELA VOLPI FURTINI, CNPAF; MARLEY MARICO UTUMI, CPAF-RO; JOSE ALMEIDA PEREIRA, CPAMN; ANTONIO CARLOS CENTENO CORDEIRO, CPAF-RR; AUSTRELINO SILVEIRA FILHO, CPATU; GUILHERME BARBOSA ABREU, CPACP; FRANCISCO PEREIRA MOURA NETO, CNPAF; JULIAN PIETRAGALLA, INTEGRATED BREEDING PLATFORM, Texcoco, Mexico; MATEO VARGAS HERNÁNDEZ, CIMMYT, Texcoco-Mexico; JOSE CROSSA, CIMMYT, Texcoco-Mexico. |
dc.contributor.author.fl_str_mv |
BRESEGHELLO, F. MELLO, R. N. de PINHEIRO, P. V. SOARES, D. M. LOPES JUNIOR, S. RANGEL, P. H. N. GUIMARÃES, E. P. CASTRO, A. P. de COLOMBARI FILHO, J. M. MAGALHÃES JUNIOR, A. M. de FAGUNDES, P. R. R. NEVES, P. de C. F. FURTINI, I. V. UTUMI, M. M. PEREIRA, J. A. CORDEIRO, A. C. C. SILVEIRA FILHO, A. ABREU, G. B. MOURA NETO, F. P. PIETRAGALLA, J. VARGAS HERNÁNDEZ, M. CROSSA, J. |
dc.subject.por.fl_str_mv |
Banco de dados Arroz Oryza Sativa Melhoramento Genético Vegetal Fenótipo Rice Plant breeding Databases Genetics |
topic |
Banco de dados Arroz Oryza Sativa Melhoramento Genético Vegetal Fenótipo Rice Plant breeding Databases Genetics |
description |
Embrapa has led breeding programs for irrigated and upland rice (Oryza sativa L.) since 1977, generating a large amount of pedigree and phenotypic data. However, there were no systematic standards for data recording nor long-term data preservation and reuse strategies. With the new aim of making data reuse practical, we recovered all data available and structured it into the Embrapa Rice Breeding Dataset (ERBD). In its current version, the ERBD includes 20,504 crosses involving 9,974 parents, the pedigrees of most of the 4,532 inbred lines that took part in advanced field trials, and phenotypic data from 2,711 field trials (1,118 irrigated, 1,593 upland trials), representing 226,458 field plots. Those trials were conducted over 38 years (1982-2019), in 247 locations, in latitudes ranging from 3°N to 33°S. Phenotypic traits included grain yield, days to flowering, plant height, canopy lodging, and five important fungal diseases: leaf blast, panicle blast, brown spot, leaf scald, and grain discoloration. The total number of data points surpasses 1.27 million. Descriptive statistics were computed over the dataset, split by cropping systems (irrigated or upland). The mean heritability of grain yield was high for both systems, at around .7, whereas the mean coefficient of variation was 13.9% for irrigated trials and 18.7% for upland trials. The ERBD offers the possibility of conducting studies on different aspects of rice breeding and genetics, including genetic gain, G×E analysis, genome-wide association studies and genomic prediction. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-30T12:00:26Z 2021-11-30T12:00:26Z 2021-06-28 2021 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Crop Science, v. 61, n. 5, p. 3445-3457, Sept./Oct. 2021. 0011-183X http://www.alice.cnptia.embrapa.br/alice/handle/doc/1132588 https://doi.org/10.1002/csc2.20550 |
identifier_str_mv |
Crop Science, v. 61, n. 5, p. 3445-3457, Sept./Oct. 2021. 0011-183X |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1132588 https://doi.org/10.1002/csc2.20550 |
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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1822721534438932480 |