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Using general linear model procedures in SAS®, analysis of variance (ANOVA) was performed on ln-transformed AUC0 72 and Cmax.

Repeated measures for each outcome over the trial period were analysed with the linear mixed model procedures in SPSS.

Statistical comparisons were made using the generalized linear model procedures in SPSS version 12 (SPSS Inc., Chicago, Illinois, USA).

The hierarchical model specified by (1), (2) and (3) can be fitted using the generalized linear mixed model procedures in several standard statistical packages.

The bivariate model given by (2-4) can be fitted using generalized linear mixed model procedures in standard statistical packages, such as the SAS procedure NLMIXED, STATA gllamm or the R/S-Plus program nlme.

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11 and 12, the parameters of the BASE, GB99 and the seven versions of M3 were refitted by weighted nonlinear least squares using the model procedure in SAS/ETS® software Version 9.3 (SAS Institute Inc. 2002 - 2004).

Analysis of the data was carried out using t-tests and one-way analysis of variance (ANOVA) tests - generalized linear model procedure in SAS 9.2 (SAS Windows, 2002 2008, version 9.2, SAS Institute Inc., Cary, NC, USA).

Data were analyzed using the MIXED procedure of SAS SAS Institute Inc.., Cary, NC) and Fit Model procedure in JMP (α = 0.05; SAS Institute Inc .. Cows significantly differed in DMI measured (23.8 vs. 22.4 kg/d for AL and RI, respectively).

Differences in shoot biomass and shoot 15N between AMF treatments for each host plant in monoculture and mixture were separately analyzed (one analysis for monoculture and one for mixture) with a one-way ANOVA using the general linear model procedure in SPSS (V.17.0).

Values were analyzed using the Fit Model procedure in JMP software (SAS Institute Inc., Cary, NC).

The statistical analysis was performed using a general linear model procedure in SAS v9.3.

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