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| 121. |  | MEDEIROS, P. T.; FERREIRA, M. do N.; MARTINS, E. S.; GOMES, A. C. M. M.; FALCAO, R.; DIAS, J. M. C. de S.; PONTES, R. G. M. S. de. Seleção e caracterização de estirpes de Bacillus thuringiensis efetivas no controle da traça-das-crucíferas Plutella xylostella. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 40, n. 11, p. 1145-1148, nov. 2005 Notas Científicas.
Título em inglês: Selection and characterization of Bacillus thuringiensis strains effective to control the diamondback moth Plutella xylostella.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 122. | | SILVA, S. M. B. da; WERNECK, J. O. S.; FALCAO, R.; GOMES, A. C. M. M.; FRAGOSO, R. R.; QUEZADO, M. T.; O. NETO, O. B.; AGUIAR, J. B.; SA, M. F. G. de; BRAVO, A.; PONTES, R. G. M. S. de. Characterization of novel Brazilian Bacillus thuringiensis strains active against Spodoptera frugiperda and other insect pest. Journal of Applied Entomology, v. 128, n. 2, p. 102-107, 2004.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 123. | | SANTOS, A. dos; LAVIOLA, B. G.; CARNEIRO, A. de S.; COMBY, A. C. O.; GOMES, E. S.; FERREIRA, A. G. C.; ROCHA, L. de S.; COLLI, W. B.; SANTOS, J. V. J. dos; FALCAO, R.; MARANA, J. C.; RODRIGUES, E. V. Acurácia e eficiência da seleção genômica para ganhos na produtividade de grãos em pinhão-manso. In: CONGRESSO DA REDE BRASILEIRA DE TECNOLOGIA E INOVAÇÃO DE BIODIESEL, 7., 2019, Florianópolis. Empreendedorismo e inovação: construindo um futuro competitivo para o biodiesel: anais. Florianópolis, SC: Rede Brasileira de Tecnologia e Inovação De Biodiesel, 2019. 545-546| Biblioteca(s): Embrapa Agroenergia. |
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| 124. | | LAVIOLA, B. G.; SANTOS, A. dos; CARNEIRO, A. de S.; FERREIRA, A. G. C.; COMBY, A. C. O.; GOMES, E. S.; ROCHA, L. de S.; FALCAO, R.; BRASILEIRO, M. G.; SILVA, T. V. da; COSTA, L. T. da; RODRIGUES, E. V. Diversidade genética entre genótipos de macaúba com base em marcadores moleculares. In: CONGRESSO DA REDE BRASILEIRA DE TECNOLOGIA E INOVAÇÃO DE BIODIESEL, 7., 2019, Florianópolis. Empreendedorismo e inovação: construindo um futuro competitivo para o biodiesel: anais. Florianópolis, SC: Rede Brasileira de Tecnologia e Inovação De Biodiesel, 2019. 532-533| Biblioteca(s): Embrapa Agroenergia. |
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| 125. | | MONNERAT, R. G.; BATISTA, A. C.; MEDEIROS, P. T. de; MARTINS, E. S.; MELATTI, V. M.; PRAÇA, L. B.; DUMAS, V. F.; MORINAGA, C.; DEMO, C.; GOMES, A. C. M.; FALCÃO, R.; SIQUEIRA, C. B.; SILVA-WERNECK, J. O.; BERRY, C. Screening of brazilian Bacillus thuringiensis isolates active against Spodoptera frugiperda, Plutella xylostella and Anticarsia gemmatalis. Biological Control, v. 41, p. 291-295, 2007| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 126. | | SANTOS, A. dos; LAVIOLA, B. G.; CARNEIRO, A. de S.; FERREIRA, A. G. C.; COMBY, A. C. O.; GOMES, E. S.; ROCHA, L. de S.; FALCAO, R.; BRASILEIRO, M. G.; SILVA, T. V. da; COSTA, L. T. da; RODRIGUES, E. V. Seleção genômica para ganhos na produtividade de grãos em pinhão-manso In: CONGRESSO DA REDE BRASILEIRA DE TECNOLOGIA E INOVAÇÃO DE BIODIESEL, 7., 2019, Florianópolis. Empreendedorismo e inovação: construindo um futuro competitivo para o biodiesel: anais. Florianópolis, SC: Rede Brasileira de Tecnologia e Inovação De Biodiesel, 2019. 547-548| Biblioteca(s): Embrapa Agroenergia. |
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| 127. | | LAVIOLA, B. G.; SANTOS, A. dos; FALCAO, R.; CARNEIRO, A. de S.; COMBY, A. C. O.; GOMES, E. S.; ROCHA, L. de S.; FERREIRA, A. G. C.; CARVALHO, J. L. R. de; SANTOS, J. V. J. dos; COLLI, W. B.; RODRIGUES, E. V. Seleção genômica no melhoramento do pinhão-manso: precisão do modelo entre safras In: CONGRESSO DA REDE BRASILEIRA DE TECNOLOGIA E INOVAÇÃO DE BIODIESEL, 7., 2019, Florianópolis. Empreendedorismo e inovação: construindo um futuro competitivo para o biodiesel: anais. Florianópolis, SC: Rede Brasileira de Tecnologia e Inovação De Biodiesel, 2019. 536-538| Biblioteca(s): Embrapa Agroenergia. |
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| Registros recuperados : 127 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
25/10/2019 |
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Data da última atualização: |
24/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 5 |
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Autoria: |
PEIXOTO, D. S.; SILVA, B. M.; SILVA, S. H. G.; KARLEN, D. L.; MOREIRA, S. G.; SILVA, A. A. P. da; RESENDE, A. V. de; NORTON, L. D.; CURI, N. |
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Afiliação: |
Devison Souza Peixoto, Universidade Federal de Lavras; Bruno Montoani Silva, Universidade Federal de Lavras; Sérgio Henrique Godinho Silva, Universidade Federal de Lavras; Douglas L. Karlen, USDA; Silvino Guimarães Moreira, Universidade Federal de Lavras; Alessandro Alvarenga Pereira da Silva, Universidade Federal de Lavas; ALVARO VILELA DE RESENDE, CNPMS; Lloyd Darrell Norton, Purdue University; Nilton Curi, Universidade Federal de Lavras. |
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Título: |
Diagnosing, ameliorating, and monitoring soil compaction in no-till brazilian soils. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Agrosystems, Geosciences & Environment, v. 2, article 180035, 2019. |
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DOI: |
10.2134/age2018.09.0035 |
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Idioma: |
Inglês |
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Conteúdo: |
Soil compaction can significantly reduce crop yield. Our objective was to identify the most sensitive soil physical property and process indicators related to crop yield using a Random Forest algorithm (RFA). This machine-learning, decision-making tool was used with field-scale data from five soil management treatments designed to ameliorate compaction in no-tillage (NT) fields. The treatments were: T1, NT for 10 yr (control); T2, NT with surface application of 3.6 Mg ha-1 of agricultural gypsum; T3, NT with subsoiling plus 1.44 Mg ha-1 of highly reactive limestone applied to a depth of 0.60 m; T4, NT planting following chisel plowing at a depth of 0.26 m; and T5, NT with subsoiling to a depth of 0.60 m plus 1.44 Mg ha-1 of surface-applied, highly reactive limestone. Fifteen soil physical properties and processes related to growth and yield of soybean [Glycine max (L.) Merr.] were measured. Mechanical intervention, specifically subsoiling, improved soil physical properties and increased soybean yield cultivated following occasional tillage. The RFA ranked penetration resistance (PR), air capacity, macroporosity, relative field capacity, and the Dexter-S index as the most sensitive soil physical indicators affecting soybean yield. Those indicators were also sensitive to changes in soil structure due to subsoiling. We conclude that the RFA was an effective tool for screening indicators and that those chosen can be effective for monitoring soil compaction and its effect on soybean yield. Penetration resistance may be used to guide on-farm decision-making regarding when and how NT soil compaction should be addressed. MenosSoil compaction can significantly reduce crop yield. Our objective was to identify the most sensitive soil physical property and process indicators related to crop yield using a Random Forest algorithm (RFA). This machine-learning, decision-making tool was used with field-scale data from five soil management treatments designed to ameliorate compaction in no-tillage (NT) fields. The treatments were: T1, NT for 10 yr (control); T2, NT with surface application of 3.6 Mg ha-1 of agricultural gypsum; T3, NT with subsoiling plus 1.44 Mg ha-1 of highly reactive limestone applied to a depth of 0.60 m; T4, NT planting following chisel plowing at a depth of 0.26 m; and T5, NT with subsoiling to a depth of 0.60 m plus 1.44 Mg ha-1 of surface-applied, highly reactive limestone. Fifteen soil physical properties and processes related to growth and yield of soybean [Glycine max (L.) Merr.] were measured. Mechanical intervention, specifically subsoiling, improved soil physical properties and increased soybean yield cultivated following occasional tillage. The RFA ranked penetration resistance (PR), air capacity, macroporosity, relative field capacity, and the Dexter-S index as the most sensitive soil physical indicators affecting soybean yield. Those indicators were also sensitive to changes in soil structure due to subsoiling. We conclude that the RFA was an effective tool for screening indicators and that those chosen can be effective for monitoring soil compaction and its effect on soyb... Mostrar Tudo |
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Palavras-Chave: |
Random Forest. |
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Thesagro: |
Compactação do Solo; Física do Solo; Plantio Direto; Rendimento. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/203695/1/Diagnosing-Ameliorating.pdf
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Marc: |
LEADER 02488naa a2200289 a 4500
001 2113481
005 2020-01-24
008 2019 bl uuuu u00u1 u #d
024 7 $a10.2134/age2018.09.0035$2DOI
100 1 $aPEIXOTO, D. S.
245 $aDiagnosing, ameliorating, and monitoring soil compaction in no-till brazilian soils.$h[electronic resource]
260 $c2019
520 $aSoil compaction can significantly reduce crop yield. Our objective was to identify the most sensitive soil physical property and process indicators related to crop yield using a Random Forest algorithm (RFA). This machine-learning, decision-making tool was used with field-scale data from five soil management treatments designed to ameliorate compaction in no-tillage (NT) fields. The treatments were: T1, NT for 10 yr (control); T2, NT with surface application of 3.6 Mg ha-1 of agricultural gypsum; T3, NT with subsoiling plus 1.44 Mg ha-1 of highly reactive limestone applied to a depth of 0.60 m; T4, NT planting following chisel plowing at a depth of 0.26 m; and T5, NT with subsoiling to a depth of 0.60 m plus 1.44 Mg ha-1 of surface-applied, highly reactive limestone. Fifteen soil physical properties and processes related to growth and yield of soybean [Glycine max (L.) Merr.] were measured. Mechanical intervention, specifically subsoiling, improved soil physical properties and increased soybean yield cultivated following occasional tillage. The RFA ranked penetration resistance (PR), air capacity, macroporosity, relative field capacity, and the Dexter-S index as the most sensitive soil physical indicators affecting soybean yield. Those indicators were also sensitive to changes in soil structure due to subsoiling. We conclude that the RFA was an effective tool for screening indicators and that those chosen can be effective for monitoring soil compaction and its effect on soybean yield. Penetration resistance may be used to guide on-farm decision-making regarding when and how NT soil compaction should be addressed.
650 $aCompactação do Solo
650 $aFísica do Solo
650 $aPlantio Direto
650 $aRendimento
653 $aRandom Forest
700 1 $aSILVA, B. M.
700 1 $aSILVA, S. H. G.
700 1 $aKARLEN, D. L.
700 1 $aMOREIRA, S. G.
700 1 $aSILVA, A. A. P. da
700 1 $aRESENDE, A. V. de
700 1 $aNORTON, L. D.
700 1 $aCURI, N.
773 $tAgrosystems, Geosciences & Environment$gv. 2, article 180035, 2019.
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