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| Registros recuperados : 342 | |
| 63. |  | RESENDE, A. V. de; FURTINI NETO, A. E.; MUNIZ, J. A.; CURI, N.; FAQUIN, V. Crescimento inicial de especies florestais de diferentes grupos sucessionais em resposta a doses de fosforo. In: REUNIAO BRAS. FERTILIDADE DO SOLO E NUTRICAO DE PLANTAS, 23.; REUNIAO BRASILEIRA SOBRE MICORRIZAS, 7.; SIMPOSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 5.; REUNIAO BRASILEIRA DE BIOLOGIA DO SOLO, 2., 1998, Caxambu, MG. FertBio 98: resumos. Caxambu: UFLA, 1998. p.537. Interrelacao fertilidade, biologia do solo e nutricao de plantas: consolidando um paradigma.| Biblioteca(s): Embrapa Cerrados. |
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| 64. | | RESENDE, A. V. de; FURTINI NETO, A. E.; MUNIZ, J. A.; CURI, N.; FAQUIN, V. Crescimento inicial de espécies florestais de diferentes grupos sucessionais em resposta a doses de fósforo. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 34, n. 11, p. 2071-81, nov. 1999 Título em inglês: Initial growth of forest species of different successional groups in response to phosphorus doses.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 65. | | SANTOS, J. Z. L.; RESENDE, A. V. de; FURTINI NETO, A. E.; CORTE, E. J. Crescimento, acumulo de fosforo e fracoes fosfatadas em especies florestais nativas. In: REUNIAO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRICAO DE PLANTAS, 26.; REUNIAO BRASILEIRA SOBRE MICORRIZAS, 10.; SIMPOSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 8.; REUNIAO BRASILEIRA DE BIOLOGIA DO SOLO, 5., 2004, Lages, SC. FertBio 2004: avaliacao das conquistas: bases para estrategias futuras. Lages: [s. n.], 2004. nao paginado.| Biblioteca(s): Embrapa Cerrados. |
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| 66. | | SANTOS, J. Z. L.; RESENDE, A. V. de; FURTINI NETO, A. E.; CORTE, E. F. Crescimento, acúmulo de fósforo e frações fosfatadas em mudas de sete espécies arbóreas nativas. Revista Árvore, Viçosa, v. 32, n. 5, p. 799-807, set./out. 2008.| Biblioteca(s): Embrapa Florestas. |
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| 69. | | SIMAO, E. de P.; RESENDE, A. V. de; GONTIJO NETO, M. M.; BORGHI, E.; VANIN, A. Resposta do milho safrinha à adubação em duas épocas de semeadura. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 17, n. 1, p. 76-90, 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 70. | | CARVALHO, V. G.; RESENDE, A. V. de; HICKMANN, C.; FURTINI NETO, A. E.; SILVA, C. A. Disponibilidade de nitrogênio mineral decorrente da aplicação de uréias tratadas em solo com baixa umidade superficial. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 30.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 14.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 12.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 9.; SIMPÓSIO SOBRE SELÊNIO NO BRASIL, 1., 2012, Maceió. A responsabilidade socioambiental da pesquisa agrícola: anais. Viçosa, MG: Sociedade Brasileira de Ciência do Solo, 2012. 1 CD-ROM. Fertbio 2012.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 74. | | PROCHNOW, L.; RESENDE, A. V. de; JÚNIOR, A.; FRANCISCO, E.; CASARIN, V.; PAVINATO, P. Phosphorus placement for annual crops in the tropics. Better Crops with Plant Food, v. 102, n. 1, p. 21-24, 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 342 | |
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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
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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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Embrapa Milho e Sorgo (CNPMS) |
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