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amendment or irrigation solution experiments, so results of the repeated trials were combined. Analysis of variance was performed to evaluate main and interactions effects of plant tissue types and concentrations using α = 0.05. Orthogonal polynomial
was used as a covariate in the model. Data collected were analyzed using SAS Version 9.1.3 (SAS Institute, Inc., Cary, NC). Analysis of variance was performed using PROC MIXED. Where only main effects were significant, polynomial contrasts were used to
( Topp and Zebchuk, 1979 ). Statistical analysis Data were analyzed by analysis of variance and a priori contrasts were constructed with SAS/STAT Version 9.2 ( SAS Institute, Inc., 2008 ). The analysis was carried out as a split-plot-in-time with
concentrations, chile pod yield, chile pepper vegetative biomass, stand count, SOM, pH, root and shoot biomass from the host assay, and biofumigant biomass from the emergence study data were all analyzed using an analysis of variance test (ANOVA). Red chile
of Osmocote. Replicates of each treatment were randomly arranged on a greenhouse bench. Two-way analysis of variance (ANOVA) with inoculum and fertilizer treatments as factors was performed on plant growth (root, shoot, total dry mass, and root
repeated measurement model (JMP, Version Pro 11; SAS Institute Inc., Cary, NC) was used to analyze growth rate data from week to week. Biomass data, tissue, and soil nutrient content were analyzed as a one-way analysis of variance (ANOVA) due to significant
., 2010 ). With respect to the latter, temperature can either speed up or slow down the decomposition and mineralization processes of soil organic matter because these processes are closely related to the temperature-dependent metabolic activities of soil
calculated on an area-per-dry weight basis. Statistical calculations were conducted using R, version 3.3.2 ( R Core Team, 2016 ). Analysis of variance (ANOVA) F values were calculated at an alpha of 0.05 from linear models using the car package ( Fox and
of variance of plant growth parameters, mineral nutrients, phytonutrients in plant tissue, and soil biological properties was performed using PROC GLM in SAS 9.1 statistical software ( SAS Institute Inc., 2003 ). Trend analysis by polynomial
size of 5 to 10 mm in diameter) in a 1:2 volume ratio. Peat was composed mainly of partially decomposed sphagnum moss species (sphagnum peat) with a degree of decomposition of H-3 according to the Von Post scale ( Von Post, 1922 ). Peat was amended with