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| Registros recuperados : 117 | |
| 81. |  | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; ALVES, R. S.; FARIAS, F. J. C.; CARVALHO, L. P.; TEODORO, L. P. R.; TEODORO, P. E.; BHERING, L. L. Models for optimizing selection based on adaptability and stability of cotton genotypes. Ciência Rural, v. 51, n. 5, e20200530, p. 1-8, 2021. 8 p.| Biblioteca(s): Embrapa Algodão. |
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| 82. | | COSTA, A. F. da; TEODORO, P. E.; BHERING, L. L.; TARDIN, F. D.; DAHER, R. F.; CAMPOS, W. F.; VIANA, A. P.; PEREIRA, M. G. Molecular analysis of genetic diversity among vine accessions using DNA markers. Genetics and Molecular Research, Ribeirão Preto, v. 16, n. 2, p. 1-9, 2017.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 83. | | VOLPATO, L.; ALVES, R. S.; TEODORO, P. E.; RESENDE, M. D. V. de; NASCIMENTO, M.; NASCIMENTO, A. C. C.; LUDKE, W. H.; SILVA, F. L. da; BORÉM, A. Multi-trait multi-environment models in the genetic selection of segregating soybean progeny. PLoS ONE, v. 14, n. 4, e0215315, Apr. 2019. 22 p.| Biblioteca(s): Embrapa Florestas. |
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| 84. | | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F.; CARVALHO, L. P. de; FARIAS, F. J. C.; TEODORO, P. E.; BHERING, L. L. Genotype selection based on multiple traits in cotton crops: the application of genotype by yield trait biplot. Acta Scientiarum. Agronomy, v. 44, e54136, 2022.| Biblioteca(s): Embrapa Algodão. |
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| 85. | | SIMOES, W. L.; OLIVEIRA, A. R. de; TARDIN, F. D.; OLIVEIRA, C. P. M. de; MORAIS, L. K. de; TEODORO, L. P. R.; TEODORO, P. E. Impacts of saline stress on the physiology of Saccharum complex genotypes. Journal of Agronomy and Crop Science, v. 208, p. 120-126, 2022.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Semiárido; Embrapa Tabuleiros Costeiros. |
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| 86. | | SANTOS, I. G.; TEODORO, P. E.; FARIAS, F. C.; FARIAS, F. J. C.; CARVALHO, L. P. de; RODRIGUES, J. I. S.; CRUZ, C. D. Genetic diversity among cotton cultivars in two environments in the State of Mato Grosso. Genetics and Molecular Research, v. 16, n. 2, gmr16029628, 2017.| Biblioteca(s): Embrapa Algodão. |
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| 87. | | GIUSTINA, L. D.; BALDONI, A. B.; TARDIN, F. D.; GREGOLIN, F. S.; TONINI, H.; NEVES, L. G.; RIBEIRO, L. P.; TEODORO, P. E. Genetic diversity between and within half-sib families of Brazil nut tree (Bertholletia excelsa Bonpl.) originating from native forest of the Brazilian Amazon. Genetics and Molecular Research, v. 16, n. 4, 2017. gmr16039839.| Biblioteca(s): Embrapa Agrossilvipastoril. |
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| 88. | | TEODORO, P. E.; JUNQUEIRA, V.; PEIXOTO, L. de A.; SPONCHIADO, S.; MENEZES, C. B. de; TARDIN, F. D.; BHERING, L. L. Predição de ganho genético em híbridos de sorgo utilizando modelo aditivo-materno multicaracterístico. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz do Iguaçu. Melhoramento de plantas: projetando o futuro. Foz do Iguaçu: SBMP, 2017. p. 393.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 90. | | RIBEIRO, L. P.; TEODORO, P. E.; LOPES, M. C.; SANTOS, A. dos; CORRÊA, C. C. G.; SILVA, F. A. da; TORRES, F. E. Quantifying the genetic divergence among maize hybrids using Ward-MLM strategy. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 14, n. 3, p. 400-408, 2015.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 91. | | TARDIN, F. D.; RAMOS JUNIOR, E. U.; BROGIN, R. L.; GODINHO, V. de P. C.; BOTELHO, F. J. E.; TEODORO, P. E. Recomendação de genótipos de soja com alta estabilidade para o cerrado utilizando modelo AMMI. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz do Iguaçu. Melhoramento de plantas: projetando o futuro. Foz do Iguaçu: SBMP, 2017. p. 420.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Rondônia; Embrapa Soja. |
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| 92. | | OLIVEIRA, T. B. de; PEIXOTO, L. A.; TEODORO, P. E.; ALVARENGA, A. A. de; BHERING, L. L.; HOFFMANN-CAMPO, C. B. Relationship between biochemical and photosynthetic traits with Asian soybean rust. Anais da Academia Brasileira de Ciências, v. 90, n. 4, p. 3925-3940, 2018.| Biblioteca(s): Embrapa Soja. |
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| 93. | | RODRIGUES, E. V.; LAVIOLA, B. G.; TEODORO, P. E.; COSTA, R. D.; LOPES, H. G. R.; COSTA, L. T. da; ALVES, A. A. Relações entre caracteres avaliados na fase juvenil e produtividade de grãos em pinhão-manso. In: CONGRESSO DA REDE BRASILEIRA DE TECNOLOGIA DE BIODIESEL, 6.; CONGRESSO BRASILEIRO DE PLANTAS OLEAGINOSAS, ÓLEOS, GORDURAS E BIODIESEL, 9., 2016, Natal, RN. Biodiesel: 10 anos de pesquisa, desenvolvimento e inovação no Brasil: anais. Lavras: UFLA, 2016. Não paginado.| Biblioteca(s): Embrapa Agroenergia. |
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| 94. | | SIMOES, W. L.; OLIVEIRA, A. R. de; TARDIN, F. D.; OLIVEIRA, C. P. M. de; MORAIS, L. K. de; TEODORO, L. P. R.; TEODORO, P. E. Saline stress affects the growth of Saccharum complex genotypes. Journal of Agronomy and Crop Science, v. 209, n. 5, p. 613-618, 2023.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Semiárido; Embrapa Tabuleiros Costeiros. |
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| 95. | | TARDIN, F. D.; SPONCHIADO, S.; FERREIRA, L. U.; MENEZES, C. B. de; BALDONI, A. B.; BARELLI, M. A. A.; TEODORO, P. E. Seleção de genitores para a obtenção de híbridos de sorgo granífero com alto desempenho produtivo. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz do Iguaçu. Melhoramento de plantas: projetando o futuro. Foz do Iguaçu: SBMP, 2017. p. 429.| Biblioteca(s): Embrapa Agrossilvipastoril. |
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| 96. | | TARDIN, F. D.; SPONCHIADO, S.; FERREIRA, L. U.; MENEZES, C. B. de; BALDONI, A. B.; BARELLI, M. A. A.; TEODORO, P. E. Seleção de genitores para a obtenção de híbridos de sorgo granífero com alto desempenho produtivo. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz do Iguaçu. Melhoramento de plantas: projetando o futuro. Foz do Iguaçu: SBMP, 2017. p. 429.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 97. | | QUEIROZ, D. R.; FARIAS, F. J. C.; SILVA, E. F. da; ELIAS, J. J.; TEODORO, L. P. R.; TEODORO, P. E. Using combining ability as a strategy of upland cotton selection for high fiber quality. Euphytica, v. 217, n. 9, article number 184, 2021. 16 p.| Biblioteca(s): Embrapa Algodão. |
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| 98. | | 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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| 99. | | 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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| 100. | | 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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| Registros recuperados : 117 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agrossilvipastoril; Embrapa Milho e Sorgo; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
20/12/2019 |
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Data da última atualização: |
24/02/2021 |
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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: |
BALDONI, A. B.; TEODORO, L. P. R.; TEODORO, P. E.; TONINI, H.; TARDIN, F. D.; BOTIN, A. A.; HOOGERHEIDE, E. S. S.; BOTELHO, S. de C. C.; LULU, J.; FARIAS NETO, A. L. de; AZEVEDO, V. C. R. |
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Afiliação: |
AISY BOTEGA BALDONI TARDIN, CPAMT; LARISSA PEREIRA RIBEIRO TEODORO, UFMS, Chapadão do Sul-MS; PAULO EDUARDO TEODORO, UFMS, Chapadão do Sul-MS; HELIO TONINI, CPPSUL; FLAVIO DESSAUNE TARDIN, CNPMS; ANDREIA ALVES BOTIN, UFMT, Sinop-MT; EULALIA SOLER SOBREIRA HOOGERHEIDE, CPAMT; SILVIA DE CARVALHO CAMPOS BOTELHO, CPAMT; JORGE LULU, CPAMT; AUSTECLINIO LOPES DE FARIAS NETO, CPAMT; VANIA CRISTINA RENNO AZEVEDO, Cenargen. |
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Título: |
Genetic diversity of Brazil nut tree (Bertholletia excelsa Bonpl.) in southern Brazilian Amazon. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Forest ecology and management, v. 458, 117795, 2020. |
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DOI: |
https://doi.org/10.1016/j.foreco.2019.117795 |
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Idioma: |
Inglês |
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Conteúdo: |
Understanding genetic diversity is the basis of the evolutionary process of any species, as there are mechanisms that increase or reduce genetic variation. Brazil nut (Bertholletia excelsa Bonpl.) occurs in the Amazon region, and is included in the list of endangered species, justifying the importance of this study for the species. This study hypothesized that genetic diversity among individuals collected at different locations in the Amazon (between groups) is greater than genetic diversity between individuals from the same location (within groups). We aimed to study the genetic diversity of four populations of B. excelsa, located in native forests in the Amazon region of the state of Mato Grosso. DNAs were collected from 50 adult trees at each four sites, which were evaluated by seven microsatellite molecular markers (loci Bex06, Bet15, Bet14, Bex09 and Bet16). Genetic diversity of four Brazil nut tree populations collected in the Amazon region were assessed by microsatellite molecular markers. Brazil nut tree revealed to have greater genetic diversity between population than within in individuals in each population, suggesting that seed collection considering a larger number of matrices between a population than within populations is a more effective strategy. The most genetically distant populations were Itaúba and Juína, and Itaúba and Cotriguaçu, showing a relationship with geographical distance and also with differences found in fruit and seed characteristics already reported in other studies evaluating such populations. The findings of this study contribute to the establishment of the species breeding strategies that, in turn, ensure the maintenance and preservation of the genetic diversity of Brazil nut tree in southern Brazilian Amazon. MenosUnderstanding genetic diversity is the basis of the evolutionary process of any species, as there are mechanisms that increase or reduce genetic variation. Brazil nut (Bertholletia excelsa Bonpl.) occurs in the Amazon region, and is included in the list of endangered species, justifying the importance of this study for the species. This study hypothesized that genetic diversity among individuals collected at different locations in the Amazon (between groups) is greater than genetic diversity between individuals from the same location (within groups). We aimed to study the genetic diversity of four populations of B. excelsa, located in native forests in the Amazon region of the state of Mato Grosso. DNAs were collected from 50 adult trees at each four sites, which were evaluated by seven microsatellite molecular markers (loci Bex06, Bet15, Bet14, Bex09 and Bet16). Genetic diversity of four Brazil nut tree populations collected in the Amazon region were assessed by microsatellite molecular markers. Brazil nut tree revealed to have greater genetic diversity between population than within in individuals in each population, suggesting that seed collection considering a larger number of matrices between a population than within populations is a more effective strategy. The most genetically distant populations were Itaúba and Juína, and Itaúba and Cotriguaçu, showing a relationship with geographical distance and also with differences found in fruit and seed characteristics already ... Mostrar Tudo |
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Thesagro: |
Bertholletia Excelsa; Castanha; Castanha do Para. |
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Thesaurus NAL: |
Breeding; Conservation programs; Genetic distance. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/207654/1/2019-cpamt-aisy-baldoni-genetic-diversity-brazil-nut-tree-southern-brazilian-amazon.pdf
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Marc: |
LEADER 02756naa a2200325 a 4500
001 2117445
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008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.foreco.2019.117795$2DOI
100 1 $aBALDONI, A. B.
245 $aGenetic diversity of Brazil nut tree (Bertholletia excelsa Bonpl.) in southern Brazilian Amazon.$h[electronic resource]
260 $c2020
520 $aUnderstanding genetic diversity is the basis of the evolutionary process of any species, as there are mechanisms that increase or reduce genetic variation. Brazil nut (Bertholletia excelsa Bonpl.) occurs in the Amazon region, and is included in the list of endangered species, justifying the importance of this study for the species. This study hypothesized that genetic diversity among individuals collected at different locations in the Amazon (between groups) is greater than genetic diversity between individuals from the same location (within groups). We aimed to study the genetic diversity of four populations of B. excelsa, located in native forests in the Amazon region of the state of Mato Grosso. DNAs were collected from 50 adult trees at each four sites, which were evaluated by seven microsatellite molecular markers (loci Bex06, Bet15, Bet14, Bex09 and Bet16). Genetic diversity of four Brazil nut tree populations collected in the Amazon region were assessed by microsatellite molecular markers. Brazil nut tree revealed to have greater genetic diversity between population than within in individuals in each population, suggesting that seed collection considering a larger number of matrices between a population than within populations is a more effective strategy. The most genetically distant populations were Itaúba and Juína, and Itaúba and Cotriguaçu, showing a relationship with geographical distance and also with differences found in fruit and seed characteristics already reported in other studies evaluating such populations. The findings of this study contribute to the establishment of the species breeding strategies that, in turn, ensure the maintenance and preservation of the genetic diversity of Brazil nut tree in southern Brazilian Amazon.
650 $aBreeding
650 $aConservation programs
650 $aGenetic distance
650 $aBertholletia Excelsa
650 $aCastanha
650 $aCastanha do Para
700 1 $aTEODORO, L. P. R.
700 1 $aTEODORO, P. E.
700 1 $aTONINI, H.
700 1 $aTARDIN, F. D.
700 1 $aBOTIN, A. A.
700 1 $aHOOGERHEIDE, E. S. S.
700 1 $aBOTELHO, S. de C. C.
700 1 $aLULU, J.
700 1 $aFARIAS NETO, A. L. de
700 1 $aAZEVEDO, V. C. R.
773 $tForest ecology and management$gv. 458, 117795, 2020.
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Embrapa Agrossilvipastoril (CPAMT) |
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