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| Registros recuperados : 25 | |
| 9. |  | RIOS, E.; RESENDE, M.; KIRST, M.; RESENDE, M. D. V. de; ALMEIDA FILHO, J. E. de; MUNOZ, P. Predictive ability of Genomic Estimated Family Values (GEFV). In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P1186.| Biblioteca(s): Embrapa Florestas. |
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| 10. | | RIBEIRO JUNIOR, J. C.; TEIDER JUNIOR, P. I.; OLIVEIRA, A. L. M.; RIOS, E. A.; TAMANINI, R.; BELOTI, V. Proteolytic and lipolytic potential of Pseudomonas spp. from goat and bovine raw milk. Pesquisa Veterinária Brasileira, Brasília, DF, v. 38, n 8, p. 1577-1583, agosto 2018 Título em português: Proteolytic and lipolytic potential of Pseudomonas spp. from goat and bovine raw milk.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 11. | | RIOS, E. E.; CHOLICH, L. A.; GIMENO, E. J.; GUIDI, M. G.; ACOSTA DE PÉREZ, O. C. Experimental poisoning of goats by Ipomoea carnea subsp. fistulosa in Argentina: a clinic and pathological correlation with special consideration on the central nervous system. Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 32, n. 1, p. 37-42, jan. 2012.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| 12. | | ARAKAKI, J. E.; VIGNA, B. B. Z.; PESSOA FILHO, M. A. C. de P.; MUDADU, M. de A.; RIOS, E.; FAVERO, A. P. A chromosome scale genome assembly of pensacola bahiagrass (paspalum notatum cv. pensacola) In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 12., 2023, Caxambu, MG. Anais. Piracicaba: Sociedade Brasileira de Melhoramento de Plantas, 2023.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Cerrados; Embrapa Pecuária Sudeste. |
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| 13. | | SILVA, R. de C. B. da; LOPES, A. P.; RIOS, E. S.; REIS, R. C. R.; ARAÚJO, M. N.; ANGELOTTI, F.; DANTAS, B. F. Emergência e crescimento inicial de plântulas de melancia submetidas a diferentes concentrações de CO2. In: SIMPÓSIO DE MUDANÇAS CLIMÁTICAS E DESERTIFICAÇÃO NO SEMIÁRIDO BRASILEIRO, 3., 2011, Juazeiro. Experiências para mitigação e adaptação. Petrolina: Embrapa Semiárido, 2011. 1 CD-ROM. (Embrapa Semiárido. Documentos, 239).| Biblioteca(s): Embrapa Semiárido. |
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| 14. | | MORAES, A. de; RIOS, E. de; MEDRADO, R. D.; SILVA, H. A. da; OLIVEIRA, E. B. de; HACK, E.; SIQUEIRA JUNIOR, L. A. de. Atributos do solo em sistema de integração lavoura-pecuária de leite na Região de Campos Gerais - Paraná. In: SIMPÓSIO INTERNACIONAL INTEGRAÇÃO LAVOURA-PECUÁRIA, 2007, Curitiba. Simpósio... [Curitiba]: UFPR; [S.l.]: UFRGS; [S.l.]: Ohio State University, 2007. 3 p. 1 CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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| 15. | | LOPES, A. P.; SILVA, R. de C. B. da; RIOS, E. S.; ARAÚJO, M. do N.; REIS, R. C. R.; ANGELOTTI, F.; DANTAS, B. F. Aumento de CO2, emergência e desenvolvimento inicial de plântulas de diferentes variedades de abóbora. In: SIMPÓSIO DE MUDANÇAS CLIMÁTICAS E DESERTIFICAÇÃO NO SEMIÁRIDO BRASILEIRO, 3., 2011, Juazeiro. Experiências para mitigação e adaptação. Petrolina: Embrapa Semiárido, 2011. (Embrapa Semiárido. Documentos, 239).| Biblioteca(s): Embrapa Semiárido. |
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| 16. | | VON BORRIES, G.; BASSINELLO, P. Z.; RIOS, E. S.; LOPES, S. I. G.; KOAKUZU, S. N.; CARVALHO, R. N.; CHAVES, M. O. Modelos estatísticos para avaliação da qualidade culinária de arroz: textura e propriedades viscoamilográficas. In: CONFERENCIA INTERNACIONAL DO ARROZ PARA AMÉRICA LATINA E CARIBE, 12., 2015, Porto Alegre. Horizonte para a competitividade: anais. Porto Alegre: IRGA, 2015.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 17. | | MORAES, A. de; RIOS, E. de M.; MEDRADO, R. D.; SILVA, H. A da; OLIVEIRA, E. B. de; HACK, E.; SIQUEIRA JUNIOR, L. A. de; LANG, C. R. Níveis de suplementação e ciclagem de nutrientes em sistema de integração lavoura-pecuária de leite na Região dos Campos Gerais - Paraná. In: SIMPÓSIO INTERNACIONAL INTEGRAÇÃO LAVOURA-PECUÁRIA, 2007, Curitiba. Simpósio... [Curitiba]: UFPR; [S.l.]: UFRGS; [S.l.]: Ohio State University, 2007. 3 p. 1 CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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| 18. | | RIOS, E. S.; SILVA, R. de C. B. da; LOPES. A. P.; REIS, R. C. R.; ANGELOTTI, F.; DANTAS, B. F. Efeito do aumento da concentração do CO2 na emergência e no desenvolvimento de plântulas de alface. In: SIMPÓSIO DE MUDANÇAS CLIMÁTICAS E DESERTIFICAÇÃO NO SEMIÁRIDO BRASILEIRO, 3., 2011, Juazeiro. Experiências para mitigação e adaptação. Petrolina: Embrapa Semiárido, 2011. (Embrapa Semiárido. Documentos, 239).| Biblioteca(s): Embrapa Semiárido. |
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| 19. | | RIOS, E. S.; SILVA, R. de C. B. da; LOPES, A. P.; REIS, R. C. R.; ANGELOTTI, F.; DANTAS, B. F. Germinação e desenvolvimento inicial de plântulas de pepino sob influência de CO2. In: SIMPÓSIO DE MUDANÇAS CLIMÁTICAS E DESERTIFICAÇÃO NO SEMIÁRIDO BRASILEIRO, 3., 2011, Juazeiro. Experiências para mitigação e adaptação. Petrolina: Embrapa Semiárido, 2011. (Embrapa Semiárido. Documentos, 239).| Biblioteca(s): Embrapa Semiárido. |
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| 20. | | GRANATO, D.; NUNES, D. S.; MATTOS, P. P. de; RIOS, E. de M.; GLINSKI, A.; RODRIGUES, L. C.; ZANUSSO JÚNIOR, G. Chemical and biological evaluation of rejects from the wood industry. Brazilian Archives of Biology and Technology: an International Journal, Curitiba, v. 48, n. 3, p. 237-241, May 2005.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 25 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
20/01/2022 |
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Data da última atualização: |
20/01/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
RIOS, E. F.; ANDRADE, M. H. M. L.; RESENDE JR, M. F. R.; KIRST, M.; RESENDE, M. D. V. de; ALMEIDA FILHO, J. O. E. de; GEZAN, S. A.; MUNOZ, P. |
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Afiliação: |
ESTEBAN FERNANDO RIOS, UNIVERSITY OF FLORIDA; MARIO H M L ANDRADE, UNIVERSITY OF FLORIDA; MARCIO F R RESENDE JR, UNIVERSITY OF FLORIDA; MATIAS KIRST, UNIVERSITY OF FLORIDA; MARCOS DEON VILELA DE RESENDE, CNPCa; JANEO E DE ALMEIDA FILHO, BAYER CROP SCIENCE; SALVADOR A GEZAN, VSN INTERNATIONAL; PATRICIO MUNOZ, UNIVERSITY OF FLORIDA. |
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Título: |
Genomic prediction in family bulks using different traits and cross-validations in pine. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
G3: Genes, Genomes, Genetics, v. 11, n. 9, p. 1-12, 2021. |
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DOI: |
https://doi.org/10.1093/g3journal/jkab249 |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic prediction integrates statistical, genomic, and computational tools to improve the estimation of breeding values and increase genetic gain. Due to the broad diversity in mating systems, breeding schemes, propagation methods, and unit of selection, no universal genomic prediction approach can be applied in all crops. In a genome-wide family prediction (GWFP) approach, the family is the basic unit of selection. We tested GWFP in two loblolly pine (Pinus taeda L.) datasets: a breeding population composed of 63 full-sib families (5?20 individuals per family), and a simulated population with the same pedigree structure. In both populations, phenotypic and genomic data was pooled at the family level in silico. Marker effects were estimated to compute genomic estimated breeding values (GEBV) at the individual and family (GWFP) levels. Less than six individuals per family produced inaccurate estimates of family phenotypic performance and allele frequency. Tested across different scenarios, GWFP predictive ability was higher than those for GEBV in both populations. Validation sets composed of families with similar phenotypic mean and variance as the training population yielded predictions consistently higher and more accurate than other validation sets. Results revealed potential for applying GWFP in breeding programs whose selection unit are family, and for systems where family can serve as training sets. The GWFP approach is well suited for crops that are routinely genotyped and phenotyped at the plot-level, but it can be extended to other breeding programs. Higher predictive ability obtained with GWFP would motivate the application of genomic prediction in these situations. MenosGenomic prediction integrates statistical, genomic, and computational tools to improve the estimation of breeding values and increase genetic gain. Due to the broad diversity in mating systems, breeding schemes, propagation methods, and unit of selection, no universal genomic prediction approach can be applied in all crops. In a genome-wide family prediction (GWFP) approach, the family is the basic unit of selection. We tested GWFP in two loblolly pine (Pinus taeda L.) datasets: a breeding population composed of 63 full-sib families (5?20 individuals per family), and a simulated population with the same pedigree structure. In both populations, phenotypic and genomic data was pooled at the family level in silico. Marker effects were estimated to compute genomic estimated breeding values (GEBV) at the individual and family (GWFP) levels. Less than six individuals per family produced inaccurate estimates of family phenotypic performance and allele frequency. Tested across different scenarios, GWFP predictive ability was higher than those for GEBV in both populations. Validation sets composed of families with similar phenotypic mean and variance as the training population yielded predictions consistently higher and more accurate than other validation sets. Results revealed potential for applying GWFP in breeding programs whose selection unit are family, and for systems where family can serve as training sets. The GWFP approach is well suited for crops that are routinely genotype... Mostrar Tudo |
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Thesagro: |
Melhoramento Genético Vegetal; Reprodução Vegetal. |
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Thesaurus NAL: |
Genomics; Pineus; Statistical models. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230418/1/Genomic-prediction-in-family-bulks.pdf
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Marc: |
LEADER 02559naa a2200277 a 4500
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008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1093/g3journal/jkab249$2DOI
100 1 $aRIOS, E. F.
245 $aGenomic prediction in family bulks using different traits and cross-validations in pine.$h[electronic resource]
260 $c2021
520 $aGenomic prediction integrates statistical, genomic, and computational tools to improve the estimation of breeding values and increase genetic gain. Due to the broad diversity in mating systems, breeding schemes, propagation methods, and unit of selection, no universal genomic prediction approach can be applied in all crops. In a genome-wide family prediction (GWFP) approach, the family is the basic unit of selection. We tested GWFP in two loblolly pine (Pinus taeda L.) datasets: a breeding population composed of 63 full-sib families (5?20 individuals per family), and a simulated population with the same pedigree structure. In both populations, phenotypic and genomic data was pooled at the family level in silico. Marker effects were estimated to compute genomic estimated breeding values (GEBV) at the individual and family (GWFP) levels. Less than six individuals per family produced inaccurate estimates of family phenotypic performance and allele frequency. Tested across different scenarios, GWFP predictive ability was higher than those for GEBV in both populations. Validation sets composed of families with similar phenotypic mean and variance as the training population yielded predictions consistently higher and more accurate than other validation sets. Results revealed potential for applying GWFP in breeding programs whose selection unit are family, and for systems where family can serve as training sets. The GWFP approach is well suited for crops that are routinely genotyped and phenotyped at the plot-level, but it can be extended to other breeding programs. Higher predictive ability obtained with GWFP would motivate the application of genomic prediction in these situations.
650 $aGenomics
650 $aPineus
650 $aStatistical models
650 $aMelhoramento Genético Vegetal
650 $aReprodução Vegetal
700 1 $aANDRADE, M. H. M. L.
700 1 $aRESENDE JR, M. F. R.
700 1 $aKIRST, M.
700 1 $aRESENDE, M. D. V. de
700 1 $aALMEIDA FILHO, J. O. E. de
700 1 $aGEZAN, S. A.
700 1 $aMUNOZ, P.
773 $tG3: Genes, Genomes, Genetics$gv. 11, n. 9, p. 1-12, 2021.
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