2003•PubMedRequires access

[Degradation of metsulfuron-methyl in soils. I. Effect of soil properties].

Haizhen Wang, XU Jian-min, Zheng-miao Xie, Qingfu Ye

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Abstract

The ANOVA results showed that degradation of metsulfuron-methyl was different among various soils. Five principal factors were selected by principal factor analysis and they represented 90.4% of total information. The multivariate regression equations were established between soil properties and metsulfuron-methyl residues after stepwise regression analysis. The partial correlation and path analysis indicated that soil pH and microbial activity were the most significant factors controlling the degradation of metsulfuron-methyl in soils.

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What this paper is about

The ANOVA results showed that degradation of metsulfuron-methyl was different among various soils. Five principal factors were selected by principal factor analysis and they represented 90.4% of total information. The multivariate regression equations were established between soil properties and metsulfuron-methyl residues after stepwise regression analysis. The partial correlation and path analysis indicated that soil pH and microbial activity were the most significant factors controlling the degradation of metsulfuron-methyl in soils.

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Available abstract

The ANOVA results showed that degradation of metsulfuron-methyl was different among various soils. Five principal factors were selected by principal factor analysis and they represented 90.4% of total information. The multivariate regression equations were established between soil properties and metsulfuron-methyl residues after stepwise regression analysis. The partial correlation and path analysis indicated that soil pH and microbial activity were the most significant factors controlling the degradation of metsulfuron-methyl in soils.

Key concepts: Soil water, Stepwise regression, Degradation (telecommunications), Principal component analysis, Regression analysis, Multivariate statistics, Chemistry, Path analysis (statistics)

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