02488naa a2200289 a 450000100080000000500110000800800410001902400330006010000190009324501120011226000090022452016450023365000260187865000200190465000190192465000150194365300180195870000170197670000200199370000180201370000190203170000230205070000220207370000180209570000130211377300720212621134812020-01-24       2019    bl uuuu     u00u1 u    #d7 a10.2134/age2018.09.00352DOI1 aPEIXOTO, D. S.  aDiagnosing, ameliorating, and monitoring soil compaction in no-till brazilian soils.h[electronic resource]  c2019  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.  aCompactação do Solo  aFísica do Solo  aPlantio Direto  aRendimento  aRandom Forest1 aSILVA, B. M.1 aSILVA, S. H. G.1 aKARLEN, D. L.1 aMOREIRA, S. G.1 aSILVA, A. A. P. da1 aRESENDE, A. V. de1 aNORTON, L. D.1 aCURI, N.  tAgrosystems, Geosciences & Environmentgv. 2, article 180035, 2019.