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Table 1.

Physical conditions of the ponds when sampling started in 2012.

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Table 1 Expand

Table 2.

Calculated MWQP values for all ponds for three consecutive growing seasons (MPN/100 mL).

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Table 2 Expand

Fig 1.

Most Probable Number of Total coliform (♦), Generic E. coli (■), and enterococci (▲) (Log MPN/100 mL) from six agricultural ponds (Pond 1: A, Pond 2: B, Pond 3: C) with daily rainfall (mm/Day) in Central Florida.

invA positive sampling days were shown with “*”.

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Fig 1 Expand

Fig 2.

Most Probable Number of Total coliform (♦), Generic E. coli (■), and enterococci (▲) (Log MPN/100 mL) from six agricultural ponds (Pond 4: D, Pond 5: E, Pond 6: F) with daily rainfall (mm/Day) in Central Florida.

invA positive sampling days were shown with “*”.

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Fig 2 Expand

Table 3.

Precipitation and microbial indicator correlations for all ponds.

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Table 3 Expand

Table 4.

The positive percentages of STEC and invA genes (%) for each pond.

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Table 4 Expand

Table 5.

List of Salmonella isolates and summary of tests applied to each invA positive sample.

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Table 5 Expand

Table 6.

Pearson product moment correlation coefficients (r) with P-values determined between each of the physical, chemical, and biological water attributes for all ponds combined.

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Table 6 Expand

Fig 3.

XbaI PFGE patterns for the serotyped Salmonella isolates (n = 21) collected from the six agricultural ponds in Central Florida during the two-year survey.

Band sizes (kb) are displayed at the top of the PFGE pattern images. PFGE pattern order displayed is result of BioNumerics similarity analyses using the unweighted pair group-matching algorithm (UPGMA) and the Dice correlation coefficient with a maximum space tolerance of 1.5%. Key represents the isolate designation, sample location the pond number, sample date the month/year of sample collection, and serotype.

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Fig 3 Expand