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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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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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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Origem |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
13/08/2014 |
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Data da última atualização: |
14/08/2014 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
LANZA, F. E.; SILVA, D. D. da; COSTA, R. V. da; COTA, L. V.; FIGUEIREDO, J. E. F.; CASELA, C. R.; SOUZA, A. G. C. |
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Afiliação: |
FABRICIO E. LANZA, Bolsista de Pós-doutorado.; DAGMA DIONISIA DA SILVA, CNPMS; RODRIGO VERAS DA COSTA, CNPMS; LUCIANO VIANA COTA, CNPMS; JOSE EDSON FONTES FIGUEIREDO, CNPMS; CARLOS ROBERTO CASELA, Pesquisador Aposentado.; ANDRE GOMES C. SOUZA, Bolsista de Pós-doutorado. |
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Título: |
Rotação de genótipos de sorgo para manejo da antracnose foliar. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: CONGRESSO NACIONAL DE MILHO E SORGO, 30.; SIMPÓSIO SOBRE LEPDÓPTEROS COMUNS A MILHO, SOJA E ALGODÃO, 1., 2014, Salvador. Eficiência nas cadeias produtivas e o abastecimento global: resumos expandidos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2014. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Português |
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Thesagro: |
Controle Cultural; Resistência; Sorghum Bicolor. |
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Thesaurus NAL: |
Colletotrichum sublineolum. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/106566/1/Rotacao-genotipos.pdf
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Marc: |
LEADER 00897nam a2200229 a 4500
001 1992464
005 2014-08-14
008 2014 bl uuuu u00u1 u #d
100 1 $aLANZA, F. E.
245 $aRotação de genótipos de sorgo para manejo da antracnose foliar.$h[electronic resource]
260 $aIn: CONGRESSO NACIONAL DE MILHO E SORGO, 30.; SIMPÓSIO SOBRE LEPDÓPTEROS COMUNS A MILHO, SOJA E ALGODÃO, 1., 2014, Salvador. Eficiência nas cadeias produtivas e o abastecimento global: resumos expandidos. Sete Lagoas: Associação Brasileira de Milho e Sorgo$c2014
300 $c1 CD-ROM.
650 $aColletotrichum sublineolum
650 $aControle Cultural
650 $aResistência
650 $aSorghum Bicolor
700 1 $aSILVA, D. D. da
700 1 $aCOSTA, R. V. da
700 1 $aCOTA, L. V.
700 1 $aFIGUEIREDO, J. E. F.
700 1 $aCASELA, C. R.
700 1 $aSOUZA, A. G. C.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
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Registro completo
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Biblioteca(s): |
Catálogo Coletivo de Periódicos Embrapa; Embrapa Amazônia Oriental; Embrapa Gado de Corte. |
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Identificador: |
855 |
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Data corrente: |
09/05/2002 |
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Data da última atualização: |
20/05/2015 |
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Código do título: |
1800010 |
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ISSN: |
0307-8035 |
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Código CCN: |
064290-8 |
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Título e Subtítulo: |
ANNUAL REPORT OF STUDIES IN ANIMAL NUTRITION AND ALLIED SCIENCES |
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Título anterior: |
ANNUAL REPORT ON ANIMAL NUTRITION AND ALLIED SCIENCE |
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Entidade: |
Reid Library |
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Local de publicação: |
Aberdeen, Escocia, GB |
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Periodicidade: |
Anual |
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Inicio de publicação: |
1966 |
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Coleções da unidade: |
Embrapa Amazônia Oriental
1970 26; 1971 27; 1972 28; 1973 29; 1974 30; 1975 31; 1976 32; 1977 33; 1978 34; 1979 35; 1980 36; 1981 37; 1982 38; 1983 39; 1985 40; 1986 41
Classificação: 636.0852005A613
Embrapa Gado de Corte
1977-83 33-39;
Classificação: 636.005 |
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