The measurement of soil carbon dioxide respiration is a means to gauge biological soil fertility. Test methods for respiration employed in the laboratory vary somewhat, and to date the equipment and labor required have somewhat limited more widespread adoption of such methodologies. The purpose of this research is to compare the results of measured soil CO 2 respiration using three methods: (1) titration method; (2) infrared gas analysis (IRGA); and (3) the Solvita gel system for soil CO 2 analysis. We acquired 36 soil samples from across the USA for comparison, which ranged in pH from 4.5 to 8.5, organic C from 0.8 to 4.6% and the clay content from 6 to 62%. All three methods were highly correlated with each other after 24-h of incubation (titration and Solvita r 2 = 0.82, respirometer and Solvita r 2 = 0.79 and titration versus respirometer r 2 = 0.95). The 24-h (1-day) CO 2 release from all three methods was also highly correlated to both basal soil respiration (7-28 days) and cumulative 28-day CO 2 respiration. An additional 24 soil samples were acquired and added to the original 36, for a total of 60 soil samples. These samples were used for calibration of the Solvita gel digital color reader results using CO 2 -titration results and regression analysis. Regression analysis resulted in the equation y = 20.6 * (Solvita number) -16.5 with an r 2 of 0.83. The data suggest that the Solvita gel system for soil CO 2 analysis could be a simple and easily used method to quantify soil microbial activity. Applications may also exist for the gel system for in situ measurements in surface gas chambers. Once standardized soil sampling and laboratory analysis protocols are established, the Solvita method could be easily adapted to commercial soil testing labs as an index of soil microbial activity.

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Samples of active and cured compost from across the U.S. are examined for volatile organic acids (VOA) in relation to other microbiological and chemical properties. VOA are considered important because they reflect temporal microbiological properties of active and cured compost that influence the potential for compost to become odorous and phytotoxic. Data collected from 712 compost samples reveals a wide range of concentration for VOA between 75 and 51,474 ppm (dry basis) with a mean concentration of 4,385 ppm. To understand the variability of VOA, technology and site-specific testing data are needed. The results underscore concern for phytotoxicity and odor release potential, as 15 percent of samples exceeded 10,000 ppm and 2.5 percent exceeded 25,000 ppm VOA. Data and methodologies presented are viewed as useful to better understand relationships between compost biological activities and production of malodorous and phytotoxic VOA.

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Landfill diversion of organic wastes through composting is making compost products available for agricultural and horticultural crops. On certified organic farms, nonsludge green waste and manure composts are widely used because the use of these products removes harvest date restrictions imposed by the U.S. Department of Agriculture when raw manure is applied. We quantified several pathogens in point-of-sale composts from 94 nonsludge facilities processing 2.2 million m3 year(-1) of recycled green waste. Only one compost contained Salmonella (1.8 most probable number [MPN]/4 g), 28% had fecal coliforms exceeding the Environmental Protection Agency 503 sludge hygiene limits (1000 MPN g(-1)), and 6% had detectable Escherichia coli O157:H7. In 22 of 47 samples, very low levels of Listeria spp. were found. However, in one sample the Listeria level was very high, coinciding with the highest overall level of all pathogen indicators. Seventy percent of the compost samples were positive for Clostridium perfringens, but only 20% of the samples had levels >1000 CFU/g. All samples were positive for fecal streptococci, and 47% had >1000 MPN g(-1). Statistical analyses conducted using documented site characteristics revealed that factors contributing to elevated pathogen levels were large facility size, large pile size, and immaturity of compost. Application of the California Compost Maturity Index distinguished compost products that had very low levels of E. coli from those with high levels. Products produced with windrow methods were of higher microbiological quality than were those produced with static pile methods, and point-of-sale bagged composts scored very high. These data indicate that compost that is hygienic by common standards can be produced, but more effort is required to improve hygiene consistency in relation to management practices.

Current turfgrass fertilizer recommendations do not account for plant‐available soil N mineralized from labile C fractions. The Solvita Soil CO2–Burst (SSCB) test can measure mineralizable C via soil CO2 respiration. This study was conducted across 3 yr (2014–2016) in Connecticut to determine: (i) if SSCB–C concentrations are correlated to responses from predominately Kentucky bluegrass (Poa pratensis L.) and tall fescue [Schedonorus arundinaceus (Schreb.) Dumort.] lawns, and (ii) the probability of turfgrass responses being equal to or greater than responses from common urea rates in relation to SSCB–C concentrations. Randomized complete block design field experiments were set out with 23 rates of organic fertilizer (0–2000 kg N ha−1 yr−1) and four different rates of urea (50, 100, 150, and 200 kg N ha−1 yr−1). Yearly spring soil samples were analyzed for SSCB–C concentrations and correlated with turfgrass responses. Growth and quality responded positively and linearly (P < 0.001) to SSCB–C concentrations, but variability was high and correlations were relatively weak. When spring soil SSCB–C concentrations were ≥91, 113, 166, and 211 mg kg−1, there was a ≥90% probability that overall combined responses across species and variables would be equal to or greater than responses obtained from urea rates of 50, 100, 150, and 200 kg N ha−1 yr−1, respectively. The SSCB test has promise for predicting the probability of soils supporting turfgrass whose performance equals or exceeds benchmark values. This would be helpful in guiding N fertilization, but high variability within the test may limit its predictive ability.