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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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Registro Completo
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Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
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Data corrente: |
29/10/2019 |
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Data da última atualização: |
14/02/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
SOUZA, J. P. de; BORTOLON, E. S. O.; BORTOLON, L.; CAMARGO, F. P. de; CONCEIÇÃO, W. S. S.; LIMA, A. de O.; VEZZANI, F. M. |
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Afiliação: |
JESSICA PEREIRA DE SOUZA, UFRGS; ELISANDRA SOLANGE OLIVEIRA BORTOLON, CNPASA; LEANDRO BORTOLON, CNPASA; FRANCELINO PETENO DE CAMARGO, CNPASA; WILLIAN SOUSA SILVA CONCEICAO, FACULDADE CATÓLICA DO TOCANTINS; ALAN DE ORNELAS LIMA, FACULDADE CATÓLICA DO TOCANTINS; FABIANE MACHADO VEZZANI, UNIVERSIDADE FEDERAL DO PARANÁ. |
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Título: |
Carbon dioxide emissions in agricultural systems in the Brazilian savanna. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Journal of Agricultural Science, v. 11, n. 1, p. 242-250, 2019 |
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ISSN: |
1916-9760 |
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Idioma: |
Inglês |
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Conteúdo: |
The objectives of this work were to evaluate the CO2 emission potential of an Oxisol under integrated crop-livestock and no-tillage systems in the Brasilian Savanna; and to analyze the impact of soil temperature and soil moisture as factors that regulate the seasonality and the emission of C-CO2 in these systems. Field-scale study was carried out at Fazenda Brejinho, in Pedro Afonso-TO, under Oxisol. The production systems studied were integrated crop-livestock and no-tillage under cropped with soybean and corn. The amount of carbon (C) released from the soil in the form of CO2 (C-CO2) was evaluated using cylindrical chambers installed in the field with a vial containing sodium hydroxide to collect CO2 released from the soil (soil emission) in an interval of 15 hours. Five evaluations were conducted over crops growing season, started in 01/26 through 06/16/2015. Data were tested to analysis of variance and the means were compared with Duncan test at 5%. The emission of C-CO2 differed between treatments in all evaluation periods. On average, the temperature ranged from 26.5 to 27.7 °C, the soil moisture ranged from 12.2 to 15.7% and the C-CO2 emission ranged from 87.4 to 119.9 mg m-2 h-1. Temperature, soil moisture and the production systems contributed to the emission and seasonality of carbon dioxide emissions. The integrated crop-livestock cropped with soybean/corn rotation was the system that had the lowest carbon dioxide emission. |
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Thesagro: |
Carbono; Cerrado; Dióxido de Carbono; Plantio Direto; Temperatura do Solo. |
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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/203902/1/CNPASA-2019-jas.pdf
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Marc: |
LEADER 02219naa a2200265 a 4500
001 2113622
005 2020-02-14
008 2019 bl uuuu u00u1 u #d
022 $a1916-9760
100 1 $aSOUZA, J. P. de
245 $aCarbon dioxide emissions in agricultural systems in the Brazilian savanna.$h[electronic resource]
260 $c2019
520 $aThe objectives of this work were to evaluate the CO2 emission potential of an Oxisol under integrated crop-livestock and no-tillage systems in the Brasilian Savanna; and to analyze the impact of soil temperature and soil moisture as factors that regulate the seasonality and the emission of C-CO2 in these systems. Field-scale study was carried out at Fazenda Brejinho, in Pedro Afonso-TO, under Oxisol. The production systems studied were integrated crop-livestock and no-tillage under cropped with soybean and corn. The amount of carbon (C) released from the soil in the form of CO2 (C-CO2) was evaluated using cylindrical chambers installed in the field with a vial containing sodium hydroxide to collect CO2 released from the soil (soil emission) in an interval of 15 hours. Five evaluations were conducted over crops growing season, started in 01/26 through 06/16/2015. Data were tested to analysis of variance and the means were compared with Duncan test at 5%. The emission of C-CO2 differed between treatments in all evaluation periods. On average, the temperature ranged from 26.5 to 27.7 °C, the soil moisture ranged from 12.2 to 15.7% and the C-CO2 emission ranged from 87.4 to 119.9 mg m-2 h-1. Temperature, soil moisture and the production systems contributed to the emission and seasonality of carbon dioxide emissions. The integrated crop-livestock cropped with soybean/corn rotation was the system that had the lowest carbon dioxide emission.
650 $aCarbono
650 $aCerrado
650 $aDióxido de Carbono
650 $aPlantio Direto
650 $aTemperatura do Solo
700 1 $aBORTOLON, E. S. O.
700 1 $aBORTOLON, L.
700 1 $aCAMARGO, F. P. de
700 1 $aCONCEIÇÃO, W. S. S.
700 1 $aLIMA, A. de O.
700 1 $aVEZZANI, F. M.
773 $tJournal of Agricultural Science$gv. 11, n. 1, p. 242-250, 2019
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Embrapa Pesca e Aquicultura (CNPASA) |
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