Título:	Diagnosing, ameliorating, and monitoring soil compaction in no-till brazilian soils.
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.
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.
Ano de publicação:	2019
Referência:	Agrosystems, Geosciences & Environment, v. 2, article 180035, 2019.
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.
Thesagro:	Compactação do Solo Plantio Direto Física do Solo Rendimento
Palavras-chave:	Random Forest
Digital Object Identifier:	10.2134/age2018.09.0035
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPMS)