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| Registros recuperados : 16 | |
| 2. |  | SANTOS, G. A.; NUNES, A. C. P.; RESENDE, M. D. V. de; SILVA, L. D.; HIGA, A.; ASSIS T. F. Genetic control and genotype-by-environment interaction of wood weight in Eucalyptus clones in the state of Rio Grande do Sul, Brazil. Revista Árvore, Viçosa, MG, v. 40, n. 5, p. 867-876, 2016.| Biblioteca(s): Embrapa Florestas. |
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| 4. | | MENDES, G. G. C.; RESENDE, M. D. V. de; SANTOS, G. A. dos; SOUZA, G. A. de; NUNES, A. C. P.; MARTINS, T. G. V. Flowering acceleration in native Brazilian tree species for genetic conservation and breeding. Annals of Forest Research, v. 63, n. 1, p. 39-52, 2020.| Biblioteca(s): Embrapa Café; Embrapa Florestas. |
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| 5. | | PUPIN, S.; NUNES, A. C. P.; RESENDE, M. D. V. de; ROSSE, L. N.; MARINO, C. L.; ROSSINI, B. C.; SEBBENN, A. M.; MORAES, M. L. T. de. Genomic selection in a seedling seed orchard of the Eucalyptus urophylla using microsatellite markers. In: EUCALYPT GENETICS: Fundamental and Applied Research in a Post-Genome Era, 2019, Hobart. Abstracts. Hobart: University of Tasmania, 2019. p. 69.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | CASTRO, C. A. de O.; NUNES, A. C. P.; SANTOS, O. P. dos; RESENDE, R. T.; SANTOS, G. A. dos; RESENDE, M. D. V. de; CRUZ, C. D. Comportamento da interação genótipos por locais aos três e nove anos em clones de eucalipto. Scientia Forestalis, Piracicaba, v. 46, n. 120, p. 594-605, dez. 2018.| Biblioteca(s): Embrapa Florestas. |
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| 7. | | NUNES, A. C. P.; SANTOS, G. A.; RESENDE, M. D. V. de; SILVA, L. D.; HIGA, A. R.; ASSIS, T. F. Estabelecimento de zonas de melhoramento para clones de eucalipto no Rio Grande do Sul. Scientia Forestalis, Piracicaba, v. 44, n. 111, p. 563-574, set. 2016.| Biblioteca(s): Embrapa Florestas. |
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| 8. | | NOGUEIRA, T. A. P. C.; NUNES, A. C. P.; SANTOS, G. A. dos; TAKAHASHI, E. K.; RESENDE, M. D. V. de; CORRADI, I. S. Estimativa de parâmetros genéticos em progênies de irmãos completos de eucalipto e otimização de seleção. Scientia Forestalis, v. 47, n. 123, p. 451-462, set. 2019.| Biblioteca(s): Embrapa Florestas. |
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| 9. | | ESCOBAR, J. A. D.; RESENDE, M. D. V. de; AZEVEDO, C. F.; SILVA, F. F.; BARBOSA, M. H. P.; NUNES, A. C. P.; ALVES, R. S.; NASCIMENTO, M. Teoria de valores extremos e tamanho amostral para o melhoramento genético do quantil máximo em plantas. Revista Brasileira de Biometria, Lavras, v. 36, n. 1, p. 108-127, 2018.| Biblioteca(s): Embrapa Florestas. |
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| 10. | | SANTOS, G. A. dos; NUNES, A. C. P.; RESENDE, M. D. V. de; SILVA, L. D.; HIGA, A.; ASSIS, T. F. de. An index combining volume and Pilodyn penetration to study stability and adaptability of Eucalyptus multi-species hybrids in Rio Grande do Sul, Brazil. Australian Forestry,v. 79, n. 4, p. 248-255, 2016.| Biblioteca(s): Embrapa Florestas. |
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| 11. | | HENRIQUES, E. P.; NUNES, A. C. P.; MORAES, M. L. T. de; RESENDE, M. D. V. de; SEBBENN, A. M.; MORAES, M. A. de. Seleção genética em teste de progênies de irmãos completos de Eucalyptus para a produção de carvão vegetal. Scientia Forestalis, Piracicaba, v. 46, n. 119, p. 405-413, set. 2018.| Biblioteca(s): Embrapa Florestas. |
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| 12. | | NUNES, A. C. P.; SANTOS, G. A. dos; RESENDE, M. D. V. de; SILVA, L. D.; HIGA, A.; ASSIS, T. F. de. Qualidade da madeira e seleção indireta: estabelecimento de "zonas de melhoramento" de Eucalyptus no Estado do Rio Grande do Sul. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: SBMP: UFG, 2015. Resumo.| Biblioteca(s): Embrapa Florestas. |
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| 13. | | TORRES-DINI, D.; NUNES, A. C. P.; AGUIAR, A. V. de; NIKICHUK, N.; CENTURIÓN, C.; CABRERA, M.; MORAES, M. L. T.; RESENDE, M. D. V. de; SEBBENN, A. M. Clonal selection of Eucalyptus grandis x Eucalyptus globulus for productivity, adaptability, and stability, using SNP markers. Silvae Genetica, v. 65, n. 2, p. 30-38, Dec. 2016.| Biblioteca(s): Embrapa Florestas. |
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| 14. | | NUNES, A. C. P.; SANTOS, G. A. dos; SANTOS, M. A. dos; RUSSOMANO, T.; SANTOS, O. P. dos; VALENTE, B. M. dos R. T.; RESENDE, M. D. V. de. Application of hypergravity in Eucalyptus and Corymbia seeds. Ciência Rural, Santa Maria, v. 48, n. 2, e20170233, fev. 2018. 7 p.| Biblioteca(s): Embrapa Florestas. |
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| 15. | | CASTRO, C. A. de O.; NUNES, A. C. P.; ROQUE, J. V.; TEÓFILO, R. F.; SANTOS, O. P.; SANTOS, G. A.; GALLO, R.; PANTUZA, I. B.; RESENDE, M. D. V. de. Optimization of Eucalyptus benthamii progeny test based on near-infrared spectroscopy approach and volumetric production. Industrial Crops and Products, v. 141, 111786, Dec. 2019. 10 p.| Biblioteca(s): Embrapa Florestas. |
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| 16. | | PELEGRIN, A. J. de; CARVALHO, I. R.; NUNES, A. C. P.; DEMARI, G. H.; SZARESKI, V. J.; BARBOSA, M. H.; ROSA, T. C. da; FERRARI, M.; NARDINO, M.; SANTOS, O. P. dos; RESENDE, M. D. V. de; SOUZA, V. Q. de; OLIVEIRA, A. C. de; MAIA, L. C. da. Adaptability, stability and multivariate selection by mixed models. American Journal of Plant Sciences, v. 8, p. 3324-3337, 2017.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 16 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
08/11/2019 |
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Data da última atualização: |
08/11/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CASTRO, C. A. de O.; NUNES, A. C. P.; ROQUE, J. V.; TEÓFILO, R. F.; SANTOS, O. P.; SANTOS, G. A.; GALLO, R.; PANTUZA, I. B.; RESENDE, M. D. V. de. |
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Afiliação: |
Carla Aparecida de Oliveira Castro, UFV; Andrei Caíque P.Nunes, Universidade Federal do Sul da Bahia; Jussara V. Roque, UFV; Reinaldo F. Teófilo, UFV; Osmarino P. Santos, CMPC Celulose Riograndense company; Gleison A. Santos, UFV; Ricardo Gallo, Universidade Federal Rural de Pernambuco; Igor B. Pantuza, UFV; MARCOS DEON VILELA DE RESENDE, CNPF. |
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Título: |
Optimization of Eucalyptus benthamii progeny test based on near-infrared spectroscopy approach and volumetric production. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Industrial Crops and Products, v. 141, 111786, Dec. 2019. 10 p. |
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DOI: |
10.1016/j.indcrop.2019.111786 |
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Idioma: |
Inglês |
|
Conteúdo: |
A progeny test of half-siblings ofEucalyptus benthamiiwas analyzed using wood quality traits combined withvolumetric information. The test was designed in completely randomized blocks design with a total of 1394 treesplanted in the city of Encruzilhada do Sul, Brazil. At six years of age, all the trees were measured and sawingsamples were collected from 87 trees, which were processed and read through the NIR. Regression models werecalibrated by the partial least squares (PLS) method to correlate the NIR spectra with wet chemical measure-ments, allowing the assembly of models to estimate values of basic density and pulp yield for all the population.From the values of basic density and pulp yield, obtained by the models, and average annual increment of wood(MAI), the average annual increment of cellulose (MAIpulp) was calculated for each individual in the test. Twotypes of optimizations were tested: balanced and unbalanced. The balanced optimization consisted of selectingfor MAIpulp, on average, 9 individuals in the 40 best families. The unbalanced optimization was performedthrough the simulation of 72 scenarios. The effect size (Ne), inbreeding rate (F), and accumulated gain werecalculated for each scenario. The selection prioritized the best families and the top ranked individuals withineach family. Results revealed that the individual heritability in the restricted sense (h²a) for density (0.331) andpulp yield (0.322) were classified as moderate magnitude. For MAIpulp, the h²a was considered high (0.514),which suggested the presence of genetic control and the possibility of obtain gains through selection. The ac-curacy for all the traits was higher than 77.3%. In addition, the NIR prediction correlation coefficient presentedvalues above 85% in PLS-OPS for basic density and pulp yield, indicating a high predictive potential of tech-nology for selection ofE. benthamiigenotypes. In the balanced scenario, 369 individuals were selected with a Neof 119 and a genetic gain of 36%. In the unbalanced scenario, the scenario 53 was selected, which demonstratedthe maintenance of 100 individuals and 36 families is necessary to obtain a Ne equal to 54 and a gain of 64.21%relative to the original population. The estimated genetic parameters indicated favorable conditions for selec-tion. The results suggested the necessity to improve the process through the use of NIR technology. For thisprocess, future research may need to adopt models specific to breeding regions and make alterations in thecalibration model for each species. The unbalanced optimization was more efficient than the balanced. Using theunbalanced procedure, researchers may be able to accomplish considerable genetic gains with less individuals inthe population while maintaining the same rate of genetic variability. MenosA progeny test of half-siblings ofEucalyptus benthamiiwas analyzed using wood quality traits combined withvolumetric information. The test was designed in completely randomized blocks design with a total of 1394 treesplanted in the city of Encruzilhada do Sul, Brazil. At six years of age, all the trees were measured and sawingsamples were collected from 87 trees, which were processed and read through the NIR. Regression models werecalibrated by the partial least squares (PLS) method to correlate the NIR spectra with wet chemical measure-ments, allowing the assembly of models to estimate values of basic density and pulp yield for all the population.From the values of basic density and pulp yield, obtained by the models, and average annual increment of wood(MAI), the average annual increment of cellulose (MAIpulp) was calculated for each individual in the test. Twotypes of optimizations were tested: balanced and unbalanced. The balanced optimization consisted of selectingfor MAIpulp, on average, 9 individuals in the 40 best families. The unbalanced optimization was performedthrough the simulation of 72 scenarios. The effect size (Ne), inbreeding rate (F), and accumulated gain werecalculated for each scenario. The selection prioritized the best families and the top ranked individuals withineach family. Results revealed that the individual heritability in the restricted sense (h²a) for density (0.331) andpulp yield (0.322) were classified as moderate magnitude. For MAIpulp, the ... Mostrar Tudo |
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Palavras-Chave: |
Basic density; Infravermelho próximo; MAIpulp; NIR; Pulp yield; Selection; Unbalanced optimization. |
|
Thesagro: |
Eucalipto. |
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Thesaurus NAL: |
Eucalyptus benthamii; Near-infrared spectroscopy; Plant breeding. |
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Categoria do assunto: |
G Melhoramento Genético |
|
Marc: |
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100 1 $aCASTRO, C. A. de O.
245 $aOptimization of Eucalyptus benthamii progeny test based on near-infrared spectroscopy approach and volumetric production.$h[electronic resource]
260 $c2019
520 $aA progeny test of half-siblings ofEucalyptus benthamiiwas analyzed using wood quality traits combined withvolumetric information. The test was designed in completely randomized blocks design with a total of 1394 treesplanted in the city of Encruzilhada do Sul, Brazil. At six years of age, all the trees were measured and sawingsamples were collected from 87 trees, which were processed and read through the NIR. Regression models werecalibrated by the partial least squares (PLS) method to correlate the NIR spectra with wet chemical measure-ments, allowing the assembly of models to estimate values of basic density and pulp yield for all the population.From the values of basic density and pulp yield, obtained by the models, and average annual increment of wood(MAI), the average annual increment of cellulose (MAIpulp) was calculated for each individual in the test. Twotypes of optimizations were tested: balanced and unbalanced. The balanced optimization consisted of selectingfor MAIpulp, on average, 9 individuals in the 40 best families. The unbalanced optimization was performedthrough the simulation of 72 scenarios. The effect size (Ne), inbreeding rate (F), and accumulated gain werecalculated for each scenario. The selection prioritized the best families and the top ranked individuals withineach family. Results revealed that the individual heritability in the restricted sense (h²a) for density (0.331) andpulp yield (0.322) were classified as moderate magnitude. For MAIpulp, the h²a was considered high (0.514),which suggested the presence of genetic control and the possibility of obtain gains through selection. The ac-curacy for all the traits was higher than 77.3%. In addition, the NIR prediction correlation coefficient presentedvalues above 85% in PLS-OPS for basic density and pulp yield, indicating a high predictive potential of tech-nology for selection ofE. benthamiigenotypes. In the balanced scenario, 369 individuals were selected with a Neof 119 and a genetic gain of 36%. In the unbalanced scenario, the scenario 53 was selected, which demonstratedthe maintenance of 100 individuals and 36 families is necessary to obtain a Ne equal to 54 and a gain of 64.21%relative to the original population. The estimated genetic parameters indicated favorable conditions for selec-tion. The results suggested the necessity to improve the process through the use of NIR technology. For thisprocess, future research may need to adopt models specific to breeding regions and make alterations in thecalibration model for each species. The unbalanced optimization was more efficient than the balanced. Using theunbalanced procedure, researchers may be able to accomplish considerable genetic gains with less individuals inthe population while maintaining the same rate of genetic variability.
650 $aEucalyptus benthamii
650 $aNear-infrared spectroscopy
650 $aPlant breeding
650 $aEucalipto
653 $aBasic density
653 $aInfravermelho próximo
653 $aMAIpulp
653 $aNIR
653 $aPulp yield
653 $aSelection
653 $aUnbalanced optimization
700 1 $aNUNES, A. C. P.
700 1 $aROQUE, J. V.
700 1 $aTEÓFILO, R. F.
700 1 $aSANTOS, O. P.
700 1 $aSANTOS, G. A.
700 1 $aGALLO, R.
700 1 $aPANTUZA, I. B.
700 1 $aRESENDE, M. D. V. de
773 $tIndustrial Crops and Products$gv. 141, 111786, Dec. 2019. 10 p.
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