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Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
09/09/2015 |
Data da última atualização: |
30/03/2023 |
Autoria: |
GARCIA, R. A.; MEYER, M. C.; ÁVILA, K. A. G. B.; CUNHA, M. G. da. |
Afiliação: |
RICCELY ÁVILA GARCIA, Fundação de Ensino Superior de Goiatuba; MAURICIO CONRADO MEYER, CNPSO; KÁSSIA APARECIDA GARCIA BARBOSA ÁVILA, Fundação de Ensino Superior de Goiatuba; MARCOS GOMES DA CUNHA, Universidade Federal de Goiás. |
Título: |
Métodos de inoculação de Sclreotinia sclerotiorum para triagem de cultivares de soja resistentes ao mofo-branco. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 50, n. 8, p. 726-729, ago. 2015. |
Idioma: |
Português |
Notas: |
Notas Científicas.
Título em inglês: Inoculation methods of Sclerotinia sclerotiorum for screening of soybean cultivars resistant to white mold. |
Conteúdo: |
O objetivo deste trabalho foi avaliar a eficiência e a praticidade de métodos de inoculação de Sclerotinia sclerotiorum, para uso na seleção de cultivares de soja resistentes ao mofo-branco. Avaliaram-se quatro métodos de inoculação, em plantas no estádio fenológico V3/V4. Aos três e sete dias após a inoculação, mediu-se o comprimento da lesão na haste das plantas. As cultivares de soja BRS 8460RR, BRSGO Ipameri e P98Y11 apresentaram as menores lesões. O método de inoculação por meio de ponteira no pecíolo é o mais eficiente e mais prático para avaliar a resistência ao mofo-branco em soja. |
Thesagro: |
Glycine max; Resistência; Sclerotinia sclerotiorum. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/129249/1/Metodos-de-inoculacao-de-Sclrerotinia.pdf
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Marc: |
LEADER 01427naa a2200205 a 4500 001 2023525 005 2023-03-30 008 2015 bl uuuu u00u1 u #d 100 1 $aGARCIA, R. A. 245 $aMétodos de inoculação de Sclreotinia sclerotiorum para triagem de cultivares de soja resistentes ao mofo-branco.$h[electronic resource] 260 $c2015 500 $aNotas Científicas. Título em inglês: Inoculation methods of Sclerotinia sclerotiorum for screening of soybean cultivars resistant to white mold. 520 $aO objetivo deste trabalho foi avaliar a eficiência e a praticidade de métodos de inoculação de Sclerotinia sclerotiorum, para uso na seleção de cultivares de soja resistentes ao mofo-branco. Avaliaram-se quatro métodos de inoculação, em plantas no estádio fenológico V3/V4. Aos três e sete dias após a inoculação, mediu-se o comprimento da lesão na haste das plantas. As cultivares de soja BRS 8460RR, BRSGO Ipameri e P98Y11 apresentaram as menores lesões. O método de inoculação por meio de ponteira no pecíolo é o mais eficiente e mais prático para avaliar a resistência ao mofo-branco em soja. 650 $aGlycine max 650 $aResistência 650 $aSclerotinia sclerotiorum 700 1 $aMEYER, M. C. 700 1 $aÁVILA, K. A. G. B. 700 1 $aCUNHA, M. G. da 773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 50, n. 8, p. 726-729, ago. 2015.
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Embrapa Unidades Centrais (AI-SEDE) |
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Registro Completo
Biblioteca(s): |
Embrapa Acre. |
Data corrente: |
08/02/2024 |
Data da última atualização: |
08/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 4 |
Autoria: |
LACERDA, T. H. S.; FRANÇA, L. C. de J.; LOPES, I. L. e; LACERDA, S. L. S.; FIGUEIREDO, E. O.; BARBOSA, B. H. G.; SILVA, C. S. J. e; GOMIDE, L. R. |
Afiliação: |
TALLES HUDSON SOUZA LACERDA; LUCIANO CAVALCANTE DE JESUS FRANÇA, UNIVERSIDADE FEDERAL DE UBERLÂNDIA; ISÁIRA LEITE E LOPES, UNIVERSIDADE FEDERAL DE LAVRAS; SÂMMILLY LORRAYNE SOUZA LACERDA, UNIVERSIDADE FEDERAL DE LAVRAS; EVANDRO ORFANO FIGUEIREDO, CPAF-AC; BRUNO HENRIQUE GROENNER BARBOSA, UNIVERSIDADE FEDERAL DE LAVRAS; CAROLINA SOUZA JAROCHINSKI E SILVA, UNIVERSIDADE FEDERAL DE LAVRAS; LUCAS REZENDE GOMIDE, UNIVERSIDADE FEDERAL DE LAVRAS. |
Título: |
Multi‑objective forest harvesting under sustainable and economic principles. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Journal of Forestry Research, v. 34, p. 1379-1394, Oct. 2023. |
ISSN: |
1007-662X |
DOI: |
https://doi.org/10.1007/s11676-023-01614-5 |
Idioma: |
Inglês |
Conteúdo: |
Selective logging is well-recognized as an efective practice in sustainable forest management. However, the ecological efciency or resilience of the residual stand is often in doubt. Recovery time depends on operational variables, diversity, and forest structure. Selective logging is excellent but is open to changes. This may be resolved by mathematical programming and this study integrates the economic-ecological aspects in multi-objective function by applying two evolutionary algorithms. The function maximizes remaining stand diversity, merchantable logs, and the inverse of distance between trees for harvesting and log landings points. The Brazilian rainforest database (566 trees) was used to simulate our 216-ha model. The log landing design has a maximum volume limit of 500 m3 . The nondominated sorting genetic algorithm was applied to solve the main optimization problem. In parallel, a sub-problem (p-facility allocation) was solved for landing allocation by a genetic algorithm. Pareto frontier analysis was applied to distinguish the gradients α-economic, β-ecological, and γ-equilibrium. As expected, the solutions have high diameter changes in the residual stand (average removal of approximately 16 m3 ha−1). All solutions showed a grouping of trees selected for harvesting, although there was no formation of large clearings (percentage of canopy removal<7%, with an average of 2.5 ind ha−1). There were no diferences in foristic composition by preferentially selecting species with greater frequency in the initial stand for harvesting. This implies a lower impact on the demographic rates of the remaining stand. The methodology should support projects of reduced impact logging by using spatial-diversity information to guide better practices in tropical forests. MenosSelective logging is well-recognized as an efective practice in sustainable forest management. However, the ecological efciency or resilience of the residual stand is often in doubt. Recovery time depends on operational variables, diversity, and forest structure. Selective logging is excellent but is open to changes. This may be resolved by mathematical programming and this study integrates the economic-ecological aspects in multi-objective function by applying two evolutionary algorithms. The function maximizes remaining stand diversity, merchantable logs, and the inverse of distance between trees for harvesting and log landings points. The Brazilian rainforest database (566 trees) was used to simulate our 216-ha model. The log landing design has a maximum volume limit of 500 m3 . The nondominated sorting genetic algorithm was applied to solve the main optimization problem. In parallel, a sub-problem (p-facility allocation) was solved for landing allocation by a genetic algorithm. Pareto frontier analysis was applied to distinguish the gradients α-economic, β-ecological, and γ-equilibrium. As expected, the solutions have high diameter changes in the residual stand (average removal of approximately 16 m3 ha−1). All solutions showed a grouping of trees selected for harvesting, although there was no formation of large clearings (percentage of canopy removal<7%, with an average of 2.5 ind ha−1). There were no diferences in foristic composition by preferentially selecting specie... Mostrar Tudo |
Palavras-Chave: |
Acre; Amazonia Occidental; Amazônia Ocidental; Análise de Fronteira de Pareto; Bosques primarios; Bujari (AC); Manejo florestal sustentável; Pareto frontier analysis; Regeneración forestal; Regeneración natural; Selective logging; Silvicultura sustentable; Western Amazon. |
Thesagro: |
Exploração Florestal; Extração da Madeira; Floresta Nativa; Modelo Matemático; Regeneração Natural. |
Thesaurus NAL: |
Forest regeneration; Mathematical models; Natural regeneration; Primary forests; Sustainable forestry. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1161859/1/27675.pdf
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Marc: |
LEADER 03345naa a2200505 a 4500 001 2161859 005 2024-02-08 008 2023 bl uuuu u00u1 u #d 022 $a1007-662X 024 7 $ahttps://doi.org/10.1007/s11676-023-01614-5$2DOI 100 1 $aLACERDA, T. H. S. 245 $aMulti‑objective forest harvesting under sustainable and economic principles.$h[electronic resource] 260 $c2023 520 $aSelective logging is well-recognized as an efective practice in sustainable forest management. However, the ecological efciency or resilience of the residual stand is often in doubt. Recovery time depends on operational variables, diversity, and forest structure. Selective logging is excellent but is open to changes. This may be resolved by mathematical programming and this study integrates the economic-ecological aspects in multi-objective function by applying two evolutionary algorithms. The function maximizes remaining stand diversity, merchantable logs, and the inverse of distance between trees for harvesting and log landings points. The Brazilian rainforest database (566 trees) was used to simulate our 216-ha model. The log landing design has a maximum volume limit of 500 m3 . The nondominated sorting genetic algorithm was applied to solve the main optimization problem. In parallel, a sub-problem (p-facility allocation) was solved for landing allocation by a genetic algorithm. Pareto frontier analysis was applied to distinguish the gradients α-economic, β-ecological, and γ-equilibrium. As expected, the solutions have high diameter changes in the residual stand (average removal of approximately 16 m3 ha−1). All solutions showed a grouping of trees selected for harvesting, although there was no formation of large clearings (percentage of canopy removal<7%, with an average of 2.5 ind ha−1). There were no diferences in foristic composition by preferentially selecting species with greater frequency in the initial stand for harvesting. This implies a lower impact on the demographic rates of the remaining stand. The methodology should support projects of reduced impact logging by using spatial-diversity information to guide better practices in tropical forests. 650 $aForest regeneration 650 $aMathematical models 650 $aNatural regeneration 650 $aPrimary forests 650 $aSustainable forestry 650 $aExploração Florestal 650 $aExtração da Madeira 650 $aFloresta Nativa 650 $aModelo Matemático 650 $aRegeneração Natural 653 $aAcre 653 $aAmazonia Occidental 653 $aAmazônia Ocidental 653 $aAnálise de Fronteira de Pareto 653 $aBosques primarios 653 $aBujari (AC) 653 $aManejo florestal sustentável 653 $aPareto frontier analysis 653 $aRegeneración forestal 653 $aRegeneración natural 653 $aSelective logging 653 $aSilvicultura sustentable 653 $aWestern Amazon 700 1 $aFRANÇA, L. C. de J. 700 1 $aLOPES, I. L. e 700 1 $aLACERDA, S. L. S. 700 1 $aFIGUEIREDO, E. O. 700 1 $aBARBOSA, B. H. G. 700 1 $aSILVA, C. S. J. e 700 1 $aGOMIDE, L. R. 773 $tJournal of Forestry Research$gv. 34, p. 1379-1394, Oct. 2023.
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