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Registros recuperados : 117 | |
101. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | ALVES, R. S.; TEODORO, P. E.; FARIAS, F. C.; FARIAS, F. J. C.; CARVALHO, L. P. de; RODRIGUES, J. I. S.; BHERING, L. L.; RESENDE, M. D. V. de. Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. Genetics and Molecular Research, v. 16, n. 3, gmr16039726, 2017. Biblioteca(s): Embrapa Algodão; Embrapa Florestas. |
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102. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | BARROSO, L. M. A.; TEODORO, P. E.; NASCIMENTO, M.; TORRES, F. E.; SANTOS, A. dos; CORRÊA, A. M.; SAGRILO, E.; CORRÊA, C. C. G.; SILVA, F. A.; CECCON, G. Bayesian approach increases accuracy when selecting cowpea genotypes with high adaptability and phenotypic stability. Genetics and Molecular Research, v. 15, n. 1, p. 1-11, 2016. Biblioteca(s): Embrapa Agropecuária Oeste; Embrapa Meio-Norte. |
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103. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | FARIAS, F. J. C.; CARVALHO, L. P. de; SILVA FILHO, J. L. da; TEODORO, P. E.; CAVALCANTI, J. J. V.; FARIAS, F. C.; QUEIROZ, D. R.; SILVA, G. P. da; SANTOS, R. C. dos; SOUZA, L. da S. S. de. Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso. In: CONGRESSO BRASILEIRO DO ALGODÃO, 11., 2017, Maceió. Resumos... Inovação e rentabilidade na cotonicultura: resumos... Brasília, DF: Associação Brasileira dos Produtores de Algodão - Abrapa, 2017. Biblioteca(s): Embrapa Algodão. |
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104. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | MENEZES, C. B. de; SILVA, K. J. da; TEODORO, L. P. R.; SANTOS, C. V. dis; JULIO, B. H. M.; PORTUGAL, A. F.; BATISTA, P. S. C.; CARVALHO, A. J.; TEODORO, P. E. Grain sorghum hybrids under drought stress and full-irrigation conditions in the Brazilian Semiarid. Journal of Agronomy and Crop Science, p. 1-8, 2021. Biblioteca(s): Embrapa Milho e Sorgo. |
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105. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | QUEIROZ, D. R.; FARIAS, F. J. C.; CAVALCANTI, J. J. V.; CARVALHO, L. P. de; NEDER, D. G.; MELO, G. G. de; COSTA, D. S.; FARIAS, F. C.; TEODORO, P. E. Genetic parameters and path analysis of traits of upland cotton for the brazilian Semi-Arid region. Bioscience Journal, v. 35, n. 6, p. 1855-1861, Nov./Dec. 2019 Título em português: Parâmetros genéticos e análise de trilha de caracteres de algodoeiro herbáceo para região do Semi-árido brasileiro. Biblioteca(s): Embrapa Algodão. |
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106. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | ALVES, R. S.; TEODORO, P. E.; PEIXOTO, L. de A.; ROCHA, J. R. do A. S. de C.; SILVA, L. A.; LAVIOLA, B. G.; RESENDE, M. D. V. de; BHERING, L. L. Multiple-trait BLUP in longitudinal data analysis on Jatropha curcas breeding for bioenergy. Industrial Crops & Products, v.130, p. 558-561, 2019. Biblioteca(s): Embrapa Agroenergia; Embrapa Florestas. |
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107. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | ALVES, R. S.; ROCHA, J. R. do A. de C.; TEODORO, P. E.; RESENDE, M. D. V. de; HENRIQUES, E. P.; SILVA, L. A.; CARNEIRO, P. C. S.; BHERING, L. L. Multiple-trait BLUP: a suitable strategy for genetic selection of Eucalyptus. Tree Genetics & Genomes, v. 14, n. 5, article 77, Oct. 2018. 8 p. Biblioteca(s): Embrapa Florestas. |
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108. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | SILVA, K. K. da; MENEZES, C. B. de; TEODORO, P. E.; TEODORO, L. P. R.; SANTOS, C. V. dos; CAMPOS, A. F.; CARVALHO, A. J. de; BARBOSA, E. da S. Multi-environmental evaluation of sorghum hybrids during off-season in Brazil. Pesquisa Agropecuária Brasileira, v. 57, e02628, 2022. Título em português: Avaliação multiambiental de híbridos de sorgo durante a entressafra no Brasil. Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Unidades Centrais. |
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109. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | ALVES, R. S.; RESENDE, M. D. V. de; ROCHA, J. R. do A. S. de C.; PEIXOTO, M. A.; TEODORO, P. E.; SILVA, F. F. e; BHERING, L. L.; SANTOS, G. A. dos. Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding. Bragantia, v. 79, n. 4, 2020. p. 360-376. Biblioteca(s): Embrapa Café. |
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110. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | RODRIGUES, E. V.; ROCHA, J. R. do A. S. de C.; ALVES, R. S.; TEODORO, P. E.; LAVIOLA, B. G.; RESENDE, M. D. V. de; CARNEIRO, P. C. S.; BHERING, L. L. Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size. Bragantia, Campinas, v. 79, n.3, Jul./Sept. 2020. Biblioteca(s): Embrapa Agroenergia. |
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111. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | LAVIOLA, B. G.; SANTOS, A. dos; RODRIGUES, E. V.; TEODORO, L. P. R.; TEODORO, P. E.; ROSADO, T. B.; GUIMARÃES, C. G.; CONCEIÇÃO, L. D. H. C. S. DA. Structure and genetic diversity of macauba [Acrocomia aculeata (Jacq.) Lodd. ex Mart.] approached by SNP markers to assist breeding strategies. Genetic Resources and Crop Evolution, v. 69, p. 1179-1191, Nov. 2021. 13 p. PDF: il. color. Biblioteca(s): Embrapa Agroenergia; Embrapa Uva e Vinho. |
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112. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | AZEVEDO, G. B. de; REZENDE, A. V.; AZEVEDO, G. T. de O. S.; MIGUEL, E. P.; AQUINO, F. de G.; BRUZINGA, J. S. C.; OLIVEIRA, L. S. C. de; PEREIRA, R. S.; TEODORO, P. E. Woody biomass accumulation in a Cerrado of Central Brazil monitored for 27 years after the implementation of silvicultural systems. Forest Ecology and Management, n. 455, 2020. 10 p. Biblioteca(s): Embrapa Cerrados. |
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113. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | OLIVEIRA, C. P. M. de; SIMOES, W. L.; CHAVES, A. R. de M.; SILVA, J. S. da; TEODORO, L. P. R.; CAMARGOS, L. S. de; GAVA, R.; SOBRAL, Y. R. A.; TEODORO, P. E. Water strategy improves the inflorescence primordia formation of ’Arra 15’ grapevine in the Brazilian semiarid region. Scientific Reports, v. 14, 6678, 2024. Biblioteca(s): Embrapa Semiárido. |
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114. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | BALDONI, A. B.; BOTIN, A. A.; TARDIN, F. D.; MARQUES, J. A. de B.; OLIVEIRA, F. L. de; SILVA, A. J. R.; SILVA, E. S. da; AWABDI, C. P.; PALUDZYSZYN FILHO, E.; NEVESE, L. G.; PANTALEÃO, A. de A.; TEODORO, L. P. R.; TEODORO, P. E. Early selection strategies in Schizolobium parahyba var. amazonicum (huber ex ducke) barneby. Industrial Crops and Products, v. 152, article 112538, 2020. Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Florestas; Embrapa Milho e Sorgo. |
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115. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | VOLPATO, L.; CHAVES, S. F. da S.; ALVES, R. da S.; ROCHA, J. R. do A. S. de C.; SANTOS, R. G. dos; TEODORO, L. P. R.; TARDIN, F. D.; BALDONI, A. B.; MENEZES, C. B. de; RESENDE, M. D. V. de; TEODORO, P. E. Statistical methods for genetic evaluation and selection of parents and hybrids of grain sorghum. South African Journal of Botany, v. 167, p. 535-541, 2024. Biblioteca(s): Embrapa Milho e Sorgo. |
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116. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | DAMASCENO, A. S. da S.; BOECHAT, C. L.; SOUZA, H. A. de; CAPRISTO-SILVA, G. F.; MENDES, W. de S.; TEODORO, P. E.; MORAIS, P. G. C.; OLIVEIRA, R. I. de; DELLA-SILVA, J. L.; SOUZA, I. A. M. de; SILVA JUNIOR, C. A. da. Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, v. 29, 100913, 2023. Biblioteca(s): Embrapa Meio-Norte. |
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117. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | SILVA, K. J. da; TEODORO, P. E.; SILVA, M. J. da; TEODORO, L. P. R.; CARDOSO, M. J.; GODINHO, V. de P. C.; MOTA, J. H.; SIMON, G. A.; TARDIN, F. D.; SILVA, A. R. da; GUEDES, F. L.; MENEZES, C. B. de. Identification of mega-environments for grain sorghum in Brazil using GGE biplot methodology. Agronomy Journal, v. 113, n. 4, p. 3019-3030, Jul./Aug. 2021. Biblioteca(s): Embrapa Caprinos e Ovinos; Embrapa Meio-Norte; Embrapa Milho e Sorgo; Embrapa Rondônia. |
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Registros recuperados : 117 | |
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Registro Completo
Biblioteca(s): |
Embrapa Agroenergia. |
Data corrente: |
18/11/2020 |
Data da última atualização: |
18/11/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
RODRIGUES, E. V.; ROCHA, J. R. do A. S. de C.; ALVES, R. S.; TEODORO, P. E.; LAVIOLA, B. G.; RESENDE, M. D. V. de; CARNEIRO, P. C. S.; BHERING, L. L. |
Afiliação: |
Erina Vitório Rodrigues, Universidade de Brasília; João Romero do Amaral Santos de Carvalho Rocha, Universidade Federal de Viçosa; Rodrigo Silva Alves, Universidade Federal de Viçosa; Paulo Eduardo Teodoro, Universidade Federal de Mato Grossso do Sul; BRUNO GALVEAS LAVIOLA, CNPAE; Marcos Deon Vilela de Resende, Universidade Federal de Viçosa; Pedro Crescêncio Souza Carneiro, Universidade Federal de Viçosa; Leonardo Lopes Bhering, Universidade Federal de Viçosa. |
Título: |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Bragantia, Campinas, v. 79, n.3, Jul./Sept. 2020. |
ISSN: |
1678-4499 |
Idioma: |
Inglês |
Conteúdo: |
Jatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding. MenosJatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. cur... Mostrar Tudo |
Palavras-Chave: |
Genetic diversity; Mixed models. |
Thesagro: |
Genética Vegetal; Melhoramento Genético Vegetal. |
Thesaurus NAL: |
Jatropha; Plant breeding; Plant genetics. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/217986/1/Selection-of-Jatropha-genotypes-2020.pdf
|
Marc: |
LEADER 02434naa a2200301 a 4500 001 2126809 005 2020-11-18 008 2020 bl uuuu u00u1 u #d 022 $a1678-4499 100 1 $aRODRIGUES, E. V. 245 $aSelection of Jatropha genotypes for bioenergy purpose$ban approach with multitrait, multiharvest and effective population size.$h[electronic resource] 260 $c2020 520 $aJatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding. 650 $aJatropha 650 $aPlant breeding 650 $aPlant genetics 650 $aGenética Vegetal 650 $aMelhoramento Genético Vegetal 653 $aGenetic diversity 653 $aMixed models 700 1 $aROCHA, J. R. do A. S. de C. 700 1 $aALVES, R. S. 700 1 $aTEODORO, P. E. 700 1 $aLAVIOLA, B. G. 700 1 $aRESENDE, M. D. V. de 700 1 $aCARNEIRO, P. C. S. 700 1 $aBHERING, L. L. 773 $tBragantia, Campinas$gv. 79, n.3, Jul./Sept. 2020.
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Embrapa Agroenergia (CNPAE) |
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