Environmental Monitoring and Assessment · 2023 · 10 citations · 54 references
AgricultureAgronomySoil SciencesSoil FertilitySoil ManagementSoil ScienceFertilizer ManagementNutrient BalanceOrganic Nutrient ManagementSoil Fertility ManagementSoil Nutrient AvailabilitySoil Nutrient CyclingFertilization ManagementLeachingOrganic Soil AmendmentsPhosphorus LeachingSoil Fertility PotentialSoil Nutrient AnalysisSoil Organic Matter AmendmentsSoil Quality Assessment
Abstract To ensure soil quality and soil health, it is necessary to improve fertilization practices while minimizing environmental impacts. The aim of this study was to record the state of the art on soil fertility related to fertilization management (organic and/or mineral) and to detect environmental challenges in highly productive fields. A soil survey was set up in a new irrigated area ( c . 20 years old), in the north-eastern part of Spain, which is mainly devoted to double annual crop rotations of cereals and maize. The area also supports an important animal rearing activity. The survey covered 733 ha of calcareous soils, owned by 35 farmers. At each farm, fertilization management was recorded, and soil was analyzed for nutrients and heavy metals. Multivariate analyses were performed. Total N, P, Cu and Zn, and available P, Cu, Zn and Mn soil concentrations were associated to the use of organic amendments. Heavy metals concentrations were below established thresholds. Available P (Olsen-P) was identified as an indicator of the previously adopted fertilization management and of the potential of P leaching towards deeper soil layers. Regression analyses were performed. A displacement of available P from the uppermost layer (0–0.3 m) occurs in the breakpoint of 86 mg P kg −1 soil. Preventative actions might be established from 53 mg P kg −1 soil due to the slowdown in P immobilization. Our results reinforce the importance of setting up P threshold soil levels for best practices of fertilization, as a basis for sustainable agriculture intensification.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
A Rationale and Test for the Number of Factors in Factor Analysis
John L. Horn · Psychometrika · 1965 · 8.6K citations