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Registros recuperados : 24 | |
2. | | BLIND, A. D.; VALENTE, M. S. F.; LOPES, M. T. G.; RESENDE, M. D. V. de. Estimativa de parâmetros genéticos, análise de trilha e seleção em bucha vegetal para caracteres agronômicos. Revista Brasileira de Ciências Agrárias, Recife, v. 13, n. 2, e5522, 2018. 8 p. Biblioteca(s): Embrapa Florestas. |
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6. | | VALENTE, M. S. F.; CHAVES, F. C. M.; LOPES, M. T. G.; OKA, J. M.; RODRIGUES, R. A. F. Crop yield, genetic parameter estimation and selection of sacha inchi in central Amazon. Pesquisa Agropecuária Tropical, Goiânia, v. 47, n. 2, p. 226-236, Apr./Jun. 2017. Biblioteca(s): Embrapa Amazônia Ocidental. |
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7. | | RAIZER, M. D. M.; QUISEN, R. C.; VALENTE, M. S. F.; LOPES, R.; LOPES, M. T. G. Morphological and stomatal characterization of Heliconia chartacea var. Sexy pink induced polyploidy. Bioscience Journal, Uberlândia, v. 35, n. 1, p. 222-235, Jan./Feb. 2019. Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Florestas. |
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8. | | CARDOSO, A. A. de S.; LOPES, M. T. G.; VALENTE, M. S. F.; QUISEN, R. C.; CHAVES, F. C. M. Morfometria de sementes, germinação in vitro e propagação vegetativa de sacha inchi (Plukenetia volubilis L.). Revista Brasileira de Ciências Agrárias, v. 13, n. 3, e5561, 2018. Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Florestas. |
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11. | | CHAVES, F. C. M.; FONSECA, R. M.; VALENTE, M. S. F.; PIMENTA, H. F.; LOPES, M. T. G. Taxa de pegamento de frutos em cruzamento interespecífico de Capsicum. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 4., 2016, Curitiba. Recursos genéticos no Brasil: a base para o desenvolvimento sustentável: anais. Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2016. Biblioteca(s): Embrapa Amazônia Ocidental. |
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12. | | PASQUALI, D. R.; PARANATINGA, I. L. D.; LOPES, R.; VALENTE, M. S. F.; RODRIGUES, M. do R. L.; PEREIRA, H. dos S.; LOPES, M. T. G. Caracterização multielementar em cultivares de abacaxizeiro do Amazonas. In: CONGRESSO DE INICIAÇÃO CIENTÍFICA, 32., 2023, Manaus. Anais... Manaus: UFAM, 2024. p. 1-4. XXXII CONIC. Biblioteca(s): Embrapa Amazônia Ocidental. |
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13. | | RODRIGUES, H. S.; BORÉM, A.; VALENTE, M. S. F.; LOPES, M. T. G.; CRUZ, C. D.; CHAVES, F. C. M.; BEZERRA, C. de S. Genetic diversity among accessions of sacha inchi (Plukenetia volubilis) by phenotypic characteristics analysis. Acta Amazônica, v. 48, n. 2, p. 93-97, 2018. Biblioteca(s): Embrapa Amazônia Ocidental. |
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14. | | LIMA, A. A. P.; LOPES, M. T. G.; VALENTE, M. S. F.; FERREYRA RAMOS, S. L.; CHAGAS, E. A.; SOUZA, J. C. G. de. Genetic diversity between and within Astrocaryum acaule Mart. (Arecaceae) populations. Floresta e Ambiente, v. 27, n. 2, e20180056, 2020. Biblioteca(s): Embrapa Roraima. |
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15. | | AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F.; VIANA, J. M. S.; VALENTE, M. S. F.; RESENDE JUNIOR, M. F. R.; OLIVEIRA, E. J. de. New accuracy estimators for genomic selection with application in a cassava (Manihot esculenta) breeding program. Genetics and Molecular Research, v. 15, n. 4, gmr.15048838, Oct. 2016. Biblioteca(s): Embrapa Florestas; Embrapa Mandioca e Fruticultura. |
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16. | | VALENTE, M. S. F.; LOPES, M. T. G.; CHAVES, F. C. M.; PANTOJA, M. C.; SOUSA, F. M. G.; CHAGAS, E. A. Molecular genetic diversity and mating system in sacha inchi progenies. Pesquisa Agropecuária Tropical, Goiânia, v. 47, n. 4, p. 480-487, Oct./Dec. 2017. Biblioteca(s): Embrapa Amazônia Ocidental. |
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17. | | CHAVES, F. C. M.; SILVA, E. S. da; LOPES, M. T. G.; VALENTE, M. S. F.; RODRIGUES, R. A. F.; RODRIGUES, H. S. Plukenetia volubilis: amendoim-amazônico. In: CORADIN, L.; CAMILLO, J.; VIEIRA, I. C. G. (ed.). Espécies nativas da flora brasileira de valor econômico atual ou potencial: plantas para o futuro: região Norte. Brasília, DF: MMA, 2022. p. 1261-1268. (Série Biodiversidade, 53). Biblioteca(s): Embrapa Amazônia Ocidental. |
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18. | | AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; NASCIMENTO, M.; VIANA, J. M. S.; VALENTE, M. S. F. Population structure correction for genomic selection through eigenvector covariates. Crop Breeding and Applied Biotechnology, Viçosa, v. 17, n. 4, p.350-358, Oct./Dec. 2017. Biblioteca(s): Embrapa Florestas. |
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19. | | OLIVEIRA, A. M.; FERREIRA, M. J.; FERREYRA RAMOS, S. L.; VALENTE, M. S. F.; LOPES, R.; BARBOSA, M. de S.; LOPES, M. T. G. Sistema reprodutivo e parâmetros genéticos de progênies de Parkia multijuga Benth. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 6., 2020. Recursos genéticos e bioeconomia: inovação para um futuro sustentável: anais. Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2020. Trabalho 616. Biblioteca(s): Embrapa Amazônia Ocidental. |
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20. | | LIMA, R. A. de; LOPES, M. T. G.; BENTES, J. L. da S.; VALENTE, M. S. F.; PEREIRA, J. O.; MUNIZ, G. I. B. de. Diversidade e estrutura genética de Senna reticulata. Floresta, Curitiba, v. 45, n. 3, p. 507-514, jul./set. 2015. Biblioteca(s): Embrapa Florestas. |
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Registros recuperados : 24 | |
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Registro Completo
Biblioteca(s): |
Embrapa Florestas; Embrapa Mandioca e Fruticultura. |
Data corrente: |
28/12/2016 |
Data da última atualização: |
03/01/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F.; VIANA, J. M. S.; VALENTE, M. S. F.; RESENDE JUNIOR, M. F. R.; OLIVEIRA, E. J. de. |
Afiliação: |
C. F. Azevedo, Departamento de Estatística, Universidade Federal de Viçosa; MARCOS DEON VILELA DE RESENDE, CNPF; F. F. Silva, Departamento de Zootecnia, Universidade Federal de Viçosa; J. M. S. Viana, Departamento de Biologia Geral, Universidade Federal de Viçosa; M. S. F. Valente, Departamento de Biologia Geral, Universidade Federal de Viçosa; M. F. R. Resende Junior, RAPID Genomics, Florida; EDER JORGE DE OLIVEIRA, CNPMF. |
Título: |
New accuracy estimators for genomic selection with application in a cassava (Manihot esculenta) breeding program. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, n. 4, gmr.15048838, Oct. 2016. |
DOI: |
10.4238/gmr.15048838 |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT. Genomic selection is the main force driving applied breeding programs and accuracy is the main measure for evaluating its efficiency. The traditional estimator (TE) of experimental accuracy is not fully adequate. This study proposes and evaluates the performance and efficiency of two new accuracy estimators, called regularized estimator (RE) and hybrid estimator (HE), which were applied to a practical cassava breeding program and also to simulated data. The simulation study considered two individual narrow sense heritability levels and two genetic architectures for traits. TE, RE, and HE were compared under four validation procedures: without validation (WV), independent validation, ten-fold validation through jacknife allowing different markers, and with the same markers selected in each cycle. RE presented accuracies closer to the parametric ones and less biased and more precise ones than TE. HE proved to be very effective in the WV procedure. The estimators were applied to five traits evaluated in a cassava experiment, including 358 clones genotyped for 390 SNPs. Accuracies ranged from 0.67 to 1.12 with TE and from 0.22 to 0.51 with RE. These results indicated that TE overestimated the accuracy and led to one accuracy estimate (1.12) higher than one, which is outside of the parameter space. Use of RE turned the accuracy into the parameter space. Cassava breeding programs can be more realistically implemented using the new estimators proposed in this study, providing less risky practical inferences. MenosABSTRACT. Genomic selection is the main force driving applied breeding programs and accuracy is the main measure for evaluating its efficiency. The traditional estimator (TE) of experimental accuracy is not fully adequate. This study proposes and evaluates the performance and efficiency of two new accuracy estimators, called regularized estimator (RE) and hybrid estimator (HE), which were applied to a practical cassava breeding program and also to simulated data. The simulation study considered two individual narrow sense heritability levels and two genetic architectures for traits. TE, RE, and HE were compared under four validation procedures: without validation (WV), independent validation, ten-fold validation through jacknife allowing different markers, and with the same markers selected in each cycle. RE presented accuracies closer to the parametric ones and less biased and more precise ones than TE. HE proved to be very effective in the WV procedure. The estimators were applied to five traits evaluated in a cassava experiment, including 358 clones genotyped for 390 SNPs. Accuracies ranged from 0.67 to 1.12 with TE and from 0.22 to 0.51 with RE. These results indicated that TE overestimated the accuracy and led to one accuracy estimate (1.12) higher than one, which is outside of the parameter space. Use of RE turned the accuracy into the parameter space. Cassava breeding programs can be more realistically implemented using the new estimators proposed in this study, provi... Mostrar Tudo |
Palavras-Chave: |
Accuracy estimator; Cross-validation; Genomic prediction; Mnadioca; Seleção genômica. |
Thesagro: |
Mandioca; Manihot Esculenta; Melhoramento Vegetal. |
Thesaurus NAL: |
Cassava; Plant breeding. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161813/1/2016-M.Deon-GMR-NewAccuracy.pdf
|
Marc: |
LEADER 02532naa a2200325 a 4500 001 2072711 005 2018-01-03 008 2016 bl uuuu u00u1 u #d 024 7 $a10.4238/gmr.15048838$2DOI 100 1 $aAZEVEDO, C. F. 245 $aNew accuracy estimators for genomic selection with application in a cassava (Manihot esculenta) breeding program.$h[electronic resource] 260 $c2016 520 $aABSTRACT. Genomic selection is the main force driving applied breeding programs and accuracy is the main measure for evaluating its efficiency. The traditional estimator (TE) of experimental accuracy is not fully adequate. This study proposes and evaluates the performance and efficiency of two new accuracy estimators, called regularized estimator (RE) and hybrid estimator (HE), which were applied to a practical cassava breeding program and also to simulated data. The simulation study considered two individual narrow sense heritability levels and two genetic architectures for traits. TE, RE, and HE were compared under four validation procedures: without validation (WV), independent validation, ten-fold validation through jacknife allowing different markers, and with the same markers selected in each cycle. RE presented accuracies closer to the parametric ones and less biased and more precise ones than TE. HE proved to be very effective in the WV procedure. The estimators were applied to five traits evaluated in a cassava experiment, including 358 clones genotyped for 390 SNPs. Accuracies ranged from 0.67 to 1.12 with TE and from 0.22 to 0.51 with RE. These results indicated that TE overestimated the accuracy and led to one accuracy estimate (1.12) higher than one, which is outside of the parameter space. Use of RE turned the accuracy into the parameter space. Cassava breeding programs can be more realistically implemented using the new estimators proposed in this study, providing less risky practical inferences. 650 $aCassava 650 $aPlant breeding 650 $aMandioca 650 $aManihot Esculenta 650 $aMelhoramento Vegetal 653 $aAccuracy estimator 653 $aCross-validation 653 $aGenomic prediction 653 $aMnadioca 653 $aSeleção genômica 700 1 $aRESENDE, M. D. V. de 700 1 $aSILVA, F. F. 700 1 $aVIANA, J. M. S. 700 1 $aVALENTE, M. S. F. 700 1 $aRESENDE JUNIOR, M. F. R. 700 1 $aOLIVEIRA, E. J. de 773 $tGenetics and Molecular Research$gv. 15, n. 4, gmr.15048838, Oct. 2016.
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