Pathogens are the number one cause of impairments of assessed rivers and streams in the USA and pose a significant human health hazard. The Dry Run Creek Watershed in Northeast Iowa has been designated as impaired by the State of Iowa because of high levels of Escherichia coli bacteria. To investigate the nature of this impairment, land use and stream bank assessments were coupled with comprehensive water quality monitoring. Physical, chemical, and biological parameters were measured at 13 different sites in the watershed, including pH, temperature, conductivity, dissolved oxygen, turbidity, total Kjeldahl nitrogen, ammonia-N, nitrate + nitrite-N, total phosphorus, and E. coli. In addition, benthic macroinvertebrate communities were analyzed at seven sites, and optical brightener tests were performed late in the season. Results identified segments of the watershed that were more prominent contributors of E. coli, and correlations were observed between levels of E. coli and several chemical parameters, including ammonia-N, total Kjeldahl nitrogen, and total phosphorus. Interestingly, distinct sites emerged as more prominent contributors of these elements during rain vs. non-rain events, suggesting different types of sources. Both the amount of rainfall and the time elapsed between the rain event and the sampling influenced E. coli levels during wet weather conditions. Nitrate + nitrite-N displayed a unique response to rain events compared with the other parameters, suggesting a different delivery route. Analyses of benthic macroinvertebrate communities were consistent with pollution trends. Collectively, these data suggest distinct agriculturally related E. coli contributions, as well as specific areas and practices for water quality improvement strategies. This study can serve as a resource for evaluating agricultural watersheds that are impaired for bacteria.
Current federal and state soil and water conservation programs consist primarily of cost-sharing or compensating fanners for implementing a set of pre-defined best management practices. This approach does not consider specific environmental outcomes or the cost-effectiveness of the program at the farm or watershed level. Performancebased incentives are payments that are attached to a specified environmental performance measure, for example a reduction in nutrient, sediment, pesticide, or bacteria loss from a field, or reduction in loading at the mouth of a watershed. Assessing environmental performance requires the definition of a performance measure, which is used to calculate resulting incentive payments. In this paper, we discuss issues related to the selection of a performance measure, such as the scale at which the performance is measured, modeling versus monitoring, and the ability of the measure to foster farmer learning and adaptive management. Numerous examples of performance measures adopted or considered by watershed stakeholders in several states are presented. Watershed managers, policy makers, and extension agents can consider this information to make informed choices among proposed approaches toward improving water quality in streams affected by agricultural nonpoint source pollution.
Petunia seeds of `White Cascade', `Red Flash', and `Red Madness' were sown in 406 plug trays on the same date. The first transplanting occurred when the plants could be removed from the cells without root damage. Subsequent transplanting occurred for four weeks. The first transplanting of `White Cascade' flowered two weeks earlier than the second while the third transplanting was one week behind the second. `Red Flash' flowered two weeks earlier for the first transplanting. There was no effect on time to flower for the `Red Madness'. The highest fresh and dry weights corresponded to the earliest flowering transplants. Optimum growth and development for most petunia cultivars was obtained with the earliest transplanting without root damage.
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