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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Clima Temperado; Embrapa Meio-Norte; Embrapa Rondônia; Embrapa Roraima. |
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Data corrente: |
28/06/2021 |
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Data da última atualização: |
29/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
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. |
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Afiliação: |
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. |
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Título: |
Building the Embrapa rice breeding dataset for efficient data reuse. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Crop Science, v. 61, n. 5, p. 3445-3457, Sept./Oct. 2021. |
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ISSN: |
0011-183X |
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DOI: |
https://doi.org/10.1002/csc2.20550 |
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Idioma: |
Inglês |
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Conteúdo: |
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. MenosEmbrapa 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 analysi... Mostrar Tudo |
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Palavras-Chave: |
Banco de dados. |
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Thesagro: |
Arroz; Fenótipo; Melhoramento Genético Vegetal; Oryza Sativa. |
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Thesaurus Nal: |
Databases; Genetics; Plant breeding; Rice. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224093/1/cropscience-2021.pdf
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Marc: |
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008 2021 bl uuuu u00u1 u #d
022 $a0011-183X
024 7 $ahttps://doi.org/10.1002/csc2.20550$2DOI
100 1 $aBRESEGHELLO, F.
245 $aBuilding the Embrapa rice breeding dataset for efficient data reuse.$h[electronic resource]
260 $c2021
520 $aEmbrapa 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.
650 $aDatabases
650 $aGenetics
650 $aPlant breeding
650 $aRice
650 $aArroz
650 $aFenótipo
650 $aMelhoramento Genético Vegetal
650 $aOryza Sativa
653 $aBanco de dados
700 1 $aMELLO, R. N. de
700 1 $aPINHEIRO, P. V.
700 1 $aSOARES, D. M.
700 1 $aLOPES JUNIOR, S.
700 1 $aRANGEL, P. H. N.
700 1 $aGUIMARÃES, E. P.
700 1 $aCASTRO, A. P. de
700 1 $aCOLOMBARI FILHO, J. M.
700 1 $aMAGALHÃES JUNIOR, A. M. de
700 1 $aFAGUNDES, P. R. R.
700 1 $aNEVES, P. de C. F.
700 1 $aFURTINI, I. V.
700 1 $aUTUMI, M. M.
700 1 $aPEREIRA, J. A.
700 1 $aCORDEIRO, A. C. C.
700 1 $aSILVEIRA FILHO, A.
700 1 $aABREU, G. B.
700 1 $aMOURA NETO, F. P.
700 1 $aPIETRAGALLA, J.
700 1 $aVARGAS HERNÁNDEZ, M.
700 1 $aCROSSA, J.
773 $tCrop Science$gv. 61, n. 5, p. 3445-3457, Sept./Oct. 2021.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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| 11. |  | PINHEIRO, P. V.; FARIA, J. C. de. GMOs - impact on non-target arthropods. In: CHAURASIA, A.; HAWKSWORTH, D. L.; MIRANDA, M. P. de (Ed.). GMOs: implications for biodiversity conservation and ecological processes. Cham: Springer, 2020. p. 87-127. (Topics in Biodiversity and Conservation).| Tipo: Capítulo em Livro Técnico-Científico |
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| Registros recuperados : 86 | |
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