Statistical analyses
At the four sites where the study was conducted in large farmfields,
the NT, CT and NAT treatments were notfield replicated. However, in
each of the sites, the threefields were contiguous and sited on similar
landscape position and same soil. Therefore, the three sampling locations within each field were used as pseudoreplicates and statistical
comparisons among treatments were made using one-way ANOVA
assuming a randomized experiment (Christopher et al., 2009). In the
case of the Peñaflor site, the randomized complete block design with
three replicates per tillage treatment (CT, RT and NT) was also applied
and statistical results were compared with those obtained from the
pseudoreplicate analysis.
Duncan's multiple range test was used to compare treatment
means (Pb0.05). Wet sieving data obtained at the different time
intervals were fitted to the proposed exponential model (Eq.(1))by
nonlinear regression procedure. Correlation and regression analyses
were performed to identify and evaluate the degree of relationship
among the measured properties. When data showed non-normality,
transformations were made and ANOVA conducted with the transformed data. Computations were performed using SPSS 19.0 statistical software.
3. Results and d
Statistical analysesAt the four sites where the study was conducted in large farmfields,the NT, CT and NAT treatments were notfield replicated. However, ineach of the sites, the threefields were contiguous and sited on similarlandscape position and same soil. Therefore, the three sampling locations within each field were used as pseudoreplicates and statisticalcomparisons among treatments were made using one-way ANOVAassuming a randomized experiment (Christopher et al., 2009). In thecase of the Peñaflor site, the randomized complete block design withthree replicates per tillage treatment (CT, RT and NT) was also appliedand statistical results were compared with those obtained from thepseudoreplicate analysis.Duncan's multiple range test was used to compare treatmentmeans (Pb0.05). Wet sieving data obtained at the different timeintervals were fitted to the proposed exponential model (Eq.(1))bynonlinear regression procedure. Correlation and regression analyseswere performed to identify and evaluate the degree of relationshipamong the measured properties. When data showed non-normality,transformations were made and ANOVA conducted with the transformed data. Computations were performed using SPSS 19.0 statistical software.3. Results and d
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