Site description.

The study was conducted from 2013 to 2014 at the University of Rhode Island’s Greene H. Gardiner Crop Science Field Laboratory in Kingston, RI. The experiment site has a mixture of Bridgehampton silt loam and Enfield silt loam, 0% to 3% slope, a mean annual precipitation of 114–127 cm, and a mean annual air temperature of 10 °C (Soil Survey Staff, 2013). There were 2548 growing degree days in 2013 and 2605 in 2014 (1 May–1 Oct.; base 10 °C) (Weather Channel, 2014). Before our study, the field was used for vegetable production and then planted with trees (Acer rubrum L., Liriodendron tulipifera L., Quercus alba L., Q. montana Willd., Q. phellos L., and Q. rubra L.) intersown with creeping red fescue (Festuca rubra L.) from 2006 until the fall of 2012, when the trees were pulled out and the field planted to a cover crop of winter rye (Secale cereale L.) and hairy vetch (Vicia villosa Roth) until the experiment began in Apr. 2013. A cover crop of winter rye and hairy vetch was also planted between the first and second season of the experiment.

The experiment was laid out with 28 plots, measuring 4.6 m × 13.8 m, arranged in a randomized block design with four replicates of the seven treatments (six wastes and mineral fertilizer control). Plots were divided into three subplots, measuring 4.6 m × 4.6 m, for the three crops. All samples, measurements, and yield data were taken from the 3 m × 3 m center of each subplot. Crops were seeded by hand the last 2 weeks of May 2013 and between the last week of May and the second week of June 2014. All crops were planted in six rows per subplot, 76 cm between rows. Sweet corn (cv. Applause and Brocade in 2013; Applause and Montauk in 2014) and potatoes (cv. Eva) were planted at 30 cm in-row spacing, and butternut squash (cv. JWS 6823) was planted at 61 cm. Sweet corn cultivars were planted in alternating rows. Brocade was not used in 2014 because of difficulty locating seed.

Management followed typical practices for local production and extension recommendations. Crops were irrigated with an overhead sprinkler when rainfall was insufficient, and weeds were managed by tractor cultivation and by hand. Potatoes were hilled several times and mowed once senescence began. Corn ear worm (Helicoverpa zea Boddie) was managed with foliar sprays of Dipel (Bacillus thuringiensis Berliner) (Valant BioSciences Co., Libertyville, IL) in 2013 and 2014. Ears were also treated directly with injections of Bt in 2013, but this method was not used in 2014 because it was only minimally effective and caused a higher incidence of unfilled ear tips. Pyganic (MGK Co., Minneapolis, MN), a pyrethrin spray, was used for control of cucumber beetles (Acalymma vittatum F.) on squash and Colorado potato beetles (Leptinotarsa decemlineata Say) on potatoes in both 2013 and 2014. In addition, a spinosad spray, Entrust (Dow AgroSciences, Indianapolis, IN), was used for Colorado potato beetles in 2014. Although most practices adhered to the standards of Rhode Island’s Organic certification, it was necessary to use Sevin (Tessenderlo Kerley, Inc., Phoenix, AZ), a carbaryl insecticide not approved for organic production, in 2014 to control cucumber beetles on squash.

Waste amendments.

Six organic waste amendment treatments were compared with a mineral fertilizer control (CN):

• 1) Biosolids/yard waste cocompost (BS)

• 2) Dehydrated restaurant food waste (FW)

• 3) Gelatin manufacturing waste (GW)

• 4) Multisource compost (MS)

• 5) Paper fiber/chicken manure blend (7:1) (PF)

• 6) Yard waste compost (YW)

Waste amendments were delivered to the farm or picked up in the spring of 2013 and 2014. The BS, from Rhode Island, was produced by in-vessel horizontal agitated bin composting of ground leaves, brush, and municipal biosolids, and meets U.S. EPA Class A, Exceptional Quality compost standards (U.S. Environmental Protection Agency, 1994). The YW and MS were both produced in Rhode Island using active windrows of grass clippings, leaves, and brush. In addition, the MS contained wood chips, farm and zoo animal manure and bedding, fish scraps, seashells, seaweed, coffee grounds, wood ash, and food scraps. The FW was from a New York restaurant and was ground, dehydrated, and aerobically incubated for 18 h to reduce bulk. The gelatin waste was from a Massachusetts facility and consisted of a “filter cake” produced during the manufacture of gelatin. Finally, the paper fiber, provided by a resource management company in New Hampshire, was dewatered primary sludge from a mill that processes recycled paper. Owing to its high C:N ratio (>57:1), the paper fiber was blended with a composted chicken manure fertilizer (C:N = 8:1) at a rate of 7 parts paper to 1 part chicken manure.

Amendments were stored in piles under tarps until application by hand in late Apr. 2013 and late May 2014 and incorporated ≈15 cm deep by disc harrow. Amendments were applied as delivered except for the gelatin waste, which required breaking up the large filter cakes by hand before application.

Waste amendments were applied at a rate sufficient to supply 10,000 kg organic C/ha over two seasons (Table 1). Waste application rates were chosen to supply a consistent amount of C, the primary component of soil OM, over the course of the study to compare effects on soil OM. This rate ensured all amendments would supply nutrients at greater than the recommended rate required by the crops; for sweet corn, winter squash, and potatoes, requirements range from 112 to 135 kg-N/ha, 15 to 20 kg-P/ha, and 28 to 93 kg-K/ha, respectively (Hazzard and Howell, 2014). The exception was plots amended with GW which, because of the low amount of K compared with N and P, received only 8 kg-K/ha in 2013. Gelatin waste was not reapplied in 2014 because the target rate of C was reached with a single application. All other wastes were applied both years.

Table 1.

Application rate of amendments and of total N, P, K, C, and organic matter (OM). Values are based on dry weight. Gelatin waste was not applied in 2014.

View Table

Mineral fertilizer (20N–8.7P–16.6K) was applied to control plots to provide 112 kg-N/ha, 49 kg-P/ha, and 93 kg-K/ha, per year (Table 1). The fertilizer was 3.5% ammonium-N, 5.5% nitrate-N, and 11% urea-N. Although the N application rate from mineral fertilizer in control plots, 112 kg·ha⁻¹, was at the low end of the recommended rate, additional N was expected to become available from winter cover crop containing vetch as well as soil OM, which provides 22 to 45 kg·ha⁻¹ of N for every 1% OM in the surface 15 to 18 cm of soil (Hazzard and Howell, 2014). Based on the lowest soil OM levels during the study (3.5% on 18 May 2013), soil OM was expected to provide at least an additional 77–158 kg·ha⁻¹ of N/yr. Therefore, no additional N was applied as sidedressing because soil OM and cover crop residue were anticipated to provide a slowly released source of N. Application rates of P and K were at or above recommendations.

Sampling.

After delivery in 2013 and 2014, three subsamples of each amendment were combined and analyzed for physical and chemical properties. Wastes were applied in late Apr. 2013, and soil samples were collected on 18 May, 24 June, 14 Aug., and 30 Sept.; in 2014, wastes were reapplied in late May, and soil samples were collected on 14 May (before amendment application), 2 June, 30 June, 4 Aug., 29 Aug., and 6 Oct. One composite sample—made up of a minimum of five subsamples taken to a depth of 20 cm, using a 2-cm diameter core—was analyzed per subplot.

Soil and plant analysis.

Amendment and soil EC and pH were measured with a Denver Instrument Ultrabasic UB-10 pH meter (Denver Instrument, Bohemia, NY) and a Fisher Scientific Model 06-662-61 Conductivity Meter (Thermo Fisher Scientific Inc., Waltham, MA). A 1:6 amendment-to-water ratio and 1:2 soil-to-water ratio were used to measure EC and pH, with the exception of the fertilizer EC, which was measured using a 1:36 fertilizer-to-water ratio because of high salt content (Gartley, 2011; Hendershot et al., 1993). Amendment and fertilizer EC results were multiplied by three and 18, respectively, to be comparable with soil EC values.

The total heavy-metal concentration of amendments, soil, and sweet corn was measured by X-ray fluorescence with a Niton XL3r600 XRF Analyzer (Thermo Fisher Scientific Inc.). Before analysis, samples were dried at 105 °C for 24 h, ground, and passed through a 0.25-mm mesh sieve. In 2014, the heavy-metal level in sweet corn ears was determined for a composite of five ‘Montauk’ ears (including husk and cob) per plot.

The total C and N contents of amendments were measured by solid phase analysis with a Carlo Erba NC2100 Elemental Analyzer (2013) and an EA1108 CHN Analyzer (2014) (CE Instruments, Inc., Wigan, Ireland). Total P was measured by the dry ash method and HCl digestion with a Thermo Scientific iCAP 6000 ICP-OES (Thermo Fisher Scientific Inc.) by the Maine Soil Testing Service (University of Maine, Orono ME) (Chapman and Pratt, 1961; Kalra and Maynard, 1991). Total K was measured by X-ray fluorescence.

To determine how seashells affected the C content of amendments, samples of FW and MS (2014) were treated with 6N HCl, dried at 105 °C for 24 h, ground, and analyzed for total C by solid phase analysis as described previously. The total C content of the acid-treated samples was subtracted from the C content of the untreated samples to determine the amount of C lost as CO₂ from the dissolution of CaCO₃.

To determine soil bulk density, one sample per sweet corn plot, taken with a 5 × 10 cm corer, was collected after the first growing season (Apr. 2014) and dried at 105 °C for 24 h (Culley, 1993). Bulk density was sampled after the first growing season only.

Soil gravimetric water content was determined by drying samples at 105 °C for 24 h (Topp, 1993). Soil OM content was measured by loss-on-ignition at 550 °C for 5 h (Gugino et al., 2009). To compensate for an existing gradient of OM at the experiment site, data points from additional plots that had not received waste amendments (sampled 14 May 2014) were used to estimate the slope of the OM gradient. This value was used to calculate the background level of OM for each plot, based on distance from the west edge of the field, which was subtracted from the recorded data to eliminate the variation due to field position. The resulting value represented the change in soil OM during the study because of the application of treatments.

The levels of ammonium (NH₄) and nitrate (NO₃) in amendment samples were determined after extraction using a 1:10 ratio (wt:vol) of amendment-to-extractant (1 N KCl) using inductively-coupled plasma spectrometry (Gugino et al., 2009). For soil samples, NH₄ and NO₃ were extracted from fresh-sieved soil using a 1:5 ratio (wt:vol) of soil to 2.0M KCl and analyzed colorimetrically (Doane and Horwàth, 2003; Weatherburn, 1967) using a BioTek PowerWave 340 Microplate Spectrophotometer (BioTek Instruments Inc., Winooski, VT). To determine PMN, soil samples were incubated anaerobically at 30 °C for 7 d, and the difference in NH₄ concentration between day 7 and 0 was determined (Gugino et al., 2009).

Leaf tissue samples were dried, ground, and analyzed for N, P, K, Ca, Mg, Al, B, Cu, Fe, Mn, Mo, Na, Pb, and Zn by the dry ash method and HCl extraction with a Spectro Ciros-OES ICP (SPECTRO Analytical Instruments, Kleve, Germany) by the Soil Nutrient Analysis Laboratory (University of Connecticut, Storrs, CT) (Miller, 1998). Sweet corn tissue samples were collected from the Applause cultivar only. The most recent mature leaf was sampled for potato and squash, and sweet corn samples were taken from the fifth leaf down (per University of Connecticut instructions).

Crop yield.

Data on emergence, collected in 2014, were calculated based on the fraction of seeds that emerged per plot for sweet corn, squash, and potatoes. Early growth was assessed by measuring average plant height (from soil level) for both potatoes and sweet corn in 2013 and 2014. Squash height was not measured because of its horizontal growth habit.

After harvest, potatoes were sorted into three categories of quality: firsts (marketable), seconds (potentially usable for secondary market-like processing), and culls based on the level of mechanical damage, disease, or insect damage. The percentage of total yield in each category of quality was calculated. The total yield of potatoes (all three categories combined) and butternut squash (marketable plus culls) was calculated on a per hectare basis. Marketable sweet corn was harvested by hand as it ripened, and ears were weighted and counted. Because of varying plant density between cultivars, sweet corn yields were calculated as the weight of ears harvested per plant and converted to kg·ha⁻¹ based on a plant density of 47,361 plants/ha.

Statistical analyses.

SAS^® V. 9.2 (Statistical Analysis System Inst., Cary, NC) was used to perform one-way analysis of variance for treatment effects for each crop and date sampled. For tests that passed the F-test for significance, Fisher’s least significant difference test was used to perform pairwise comparisons of means to identify which treatments varied significantly. Significance was evaluated at P < 0.05. Crops and sampling dates were analyzed separately.

Waste amendment qualities.

Although waste amendment qualities varied between wastes and year-to-year for the same waste, they were generally favorable for land application. All waste EC values were around or below 10 dS·m⁻¹, substantially lower than the CN (345 dS·m⁻¹), and were fairly consistent between years (Table 2). However, all wastes, with the exception of YW in 2014, exceeded the recommended level of 3 dS·m⁻¹ (Soumaré et al., 2003). Waste amendment pH ranged from 4.9 (GW in 2013) to 7.9 (BS in 2014) and varied among amendments, as well as year-to-year for the same amendment (Table 2).

Table 2.

Electrical conductivity (EC), pH, organic matter (OM), C, N, P, and K content, and C:N ratio of waste amendments. Values are g·kg⁻¹ dry matter except for pH, C:N, and EC (dS·m⁻¹).

View Table

Both FW and MS contained seashells, which accounted for 15.5% and 47.4% of total C, respectively. Because C from CaCO₃, an inorganic C compound, is unavailable to microorganisms, MS is expected to contribute almost 50% less C to microbial processes than the total C values indicated. Without shells, the C:N ratio of MS decreases from 9:1 to 5:1, which could result in higher inorganic N availability than expected. These results highlight the importance of distinguishing between organic and inorganic sources of C when interpreting amendment test results.

Waste amendments were tested for their heavy metal content, including Mo, Pb, Se, As, Hg, Zn, Cu, Ni, Cr, and Cd. None of the amendments exceeded the ceiling limits for heavy metal concentrations outlined by the U.S. Environmental Protection Agency (1994) for land application of biosolids (data not presented). Arsenic levels of 44 mg·kg⁻¹ in YW in 2014 slightly exceeded the more restrictive levels established for exceptional quality biosolids (U.S. Environmental Protection Agency, 1994).

Of all the waste amendments, GW had the highest N concentration (49 g·kg⁻¹), exceeding even the commercially available chicken manure product (45 g·kg⁻¹) used in the PF blend (Table 2). The other waste amendments all contained <40 g N/kg. Although some wastes had a low N content, all had C:N ratios favorable for the release of inorganic N (<25:1) (Brady and Weil, 2008), with the exception of PF, which had C:N ratios of 66:1 (2013) and 51:1 (2014) after blending with chicken manure. All of the waste amendments contained >95% organic N (data not presented).

The waste amendments contained <6 g P/kg with the exception of GW, which had a P content approaching its N content (39 g P/kg) (Table 2). Because plants remove less P from the soil per unit of N removed, the N:P ratio of GW can lead to the over application of P if it is applied to meet crop N needs. Unlike mineral fertilizers, not all of the P in waste amendments is plant-available. For example, the plant availability of P from biosolids ranges from nearly 0% to 100%, depending on how the wastewater was treated (Elliot et al., 2005). Although all waste application rates provided greater than the recommended amount of P (Table 1), further testing would be necessary to determine if low first-year availability of P could potentially limit crop growth. Waste amendment K content was generally low and ranged from 0.3 g K/kg (GW in 2013) to 27.4 g K/kg (YW in 2013).

Soil properties.

Amendment with wastes did not negatively impact soil EC. Despite most waste EC levels being above the recommended level of 3 dS·m⁻¹ (Soumaré et al., 2003), soil EC did not exceed 0.6 dS·m⁻¹ (data not presented) and was consistently below the level (≈1 dS·m⁻¹) at which sensitive crops are expected to suffer yield losses (Maas, 1984). This is supported by Casado-Vela et al. (2007) who reported that addition of composted sewage sludge with EC values exceeding the recommended level did not lead to excessive soil EC.

Soil samples taken from sweet corn plots after amendment application in 2013 and 2014, as well as ‘Montauk’ corn ears harvested in 2014, were tested for heavy metals (Mo, Pb, Se, As, Hg, Zn, Cu, Ni, Cr, and Cd). There was no significant difference among treatments for any heavy metal in either soil or sweet corn ears (data not presented). In addition, levels of Pb in sweet corn ears as well as sweet corn, squash, and potato leaf tissues samples were below detection. The lack of significant differences indicates that short-term application of these wastes is unlikely to significantly raise heavy-metal levels in comparison with a mineral fertilizer. However, because heavy metals are retained in the soil by binding to OM or by reacting with carbonates, oxides of iron and manganese, or sulfides (McBride, 1995; Shober et al., 2003), long-term application of wastes could lead to accumulation in the soil.

Over the length of the study, the only waste amendment to have a consistent effect on pH compared with the control was MS (Table 3). The soil pH of plots amended with MS was the numerically highest of all treatments for all months in 2013 (except May) and significantly higher than all other treatments in 2014. The increased pH in plots amended with MS, between 5.6 and 6.5 vs. 5.1 to 6.1 in control plots, was likely due to the large amount of seashells present in MS. Seashells consist primarily of CaCO₃, which neutralizes acidity. Crushed oyster shells and clam processing wastes have previously been shown to increase soil pH (Lee et al., 2008; Owen et al., 2008) and are commonly used in New England as liming agents.

Table 3.

Mean soil pH for sweet corn, potatoes, and butternut squash in 2013 and 2014 (3–4 replicates). Soil amendments were applied before first sampling date in 2013 and reapplied on 20 May 2014. Means separation by Fisher’s least significant difference. Treatments within a row with the same letter were not significantly different (P < 0.05). All crops and sampling dates were analyzed separately.

View Table

In 2014, the pH of plots treated with YW and BS was often significantly lower than that of the control (Table 3). Of the nine sampling events for pH in 2014 (three crops sampled on three dates), plots treated with YW had significantly lower pH than that of the control for three of the nine, and plots amended with BS were lower for six of the nine. It is unlikely that this was due to the pH of the amendments alone because in 2014 YW had a pH of 6.7 and BS had a pH of 7.9, the highest of all the amendments. The decrease in pH could be related to microbial processes that produce acidity, such as decomposition of OM and oxidation of reduced N and S compounds (Bolan and Hedley, 2003).

Despite large additions of OM to waste-amended plots and no addition of OM to control plots, there were no statistically significant differences in the percent OM in sweet corn, potato, or squash plots for any of the dates sampled because of a large gradient in OM across the field (Table 4). Once the data were corrected for this, changes in OM levels that were different from the control were not apparent until Oct. 2014 and were only observed in sweet corn (1.36% point change for BS vs. 0.57 for CN) and squash (1.87% point change for YW vs. 0.10 for CN). The increases in soil OM in plots amended with BS and YW may be due to the type of organic compounds they contained. Both BS and the YW were composted, a process which leaves behind the organic compounds most resistant to breakdown (Bernal et al., 1998; De Neve et al., 2003). Higher concentrations of resistant organic compounds could explain why BS and YW had a significant effect on OM levels, whereas noncomposted wastes (PF, GW, and FW) did not. Although MS was also composted, almost 50% of its C was from an inorganic source (seashells) and therefore less likely to contribute to soil OM. Although varying amounts of organic residue returned to the soil from 2013 crop production could have affected 2014 OM levels, no significant differences in the change in soil OM were seen in early 2014. Amendment with organic wastes did not impact soil moisture during the study, with no significant differences in gravimetric water content observed for any month or crops in 2013 or 2014 (data not presented).

Table 4.

Mean values of the soil organic matter for sweet corn, potato, and butternut squash plots in 2013 and 2014 (four replicates). Soil amendments were applied on 20 May 2014; therefore, 14 May 2014 data represent preamendment levels. Amendments were applied before first sampling date in 2013. There were no significant differences for any crop or date sampled (P < 0.05). All crops and sampling dates were analyzed separately.

View Table

Soil bulk density, measured for sweet corn plots in the spring of 2014 after the first growing season, was significantly lower in plots amended with FW (1.08 g·cm⁻³) compared with the control plots (1.18 g·cm⁻³). Bulk density in other waste-amended plots was not significantly different from the control (data not presented). Low bulk density is desirable because it allows plant roots to more easily penetrate the soil and increases pore space, which allows movement of gases and water (Brady and Weil, 2008).

Soil fertility.

At the 18 May 2013 and 2 June 2014 sampling dates (directly following amendment addition), control plot inorganic N (NO₃ + NH₄) levels were significantly higher than most waste-amended plots (Table 5) despite higher application rates of total N for all waste amendments compared with the control. This supports findings of low initial inorganic N availability from waste amendments; reported first-year N availability levels range from 5% to 15% of total N for YW (Amlinger et al., 2003), 10% to 21% for MWS compost (Hargreaves et al., 2008), and 37% for fresh biosolids (Gilmour et al., 2003).

Table 5.

Mean soil inorganic N (µg N/g dry soil) (ammonium + nitrate) levels for sweet corn, potato, and butternut squash plots in 2013 and 2014 (four replicates). Soil amendments were applied before first sampling date in 2013 and reapplied on 20 May 2014. Means separation by Fisher’s least significant difference. Treatments within a row with the same letter were not significantly different (P < 0.05). All crops and sampling dates were analyzed separately.

View Table

In 2013, inorganic N levels were highest at the 4 Aug. sampling event, including in the control plots, whereas in 2014 both the 2 June and 30 June sampling events had moderately high levels for all plots including the control. The difference in timing between the highest levels of inorganic N in 2013 and 2014 could be due to variation in climate and soil conditions. Inorganic N levels are influenced by the amount of N being mineralized by biological activity: controlled by many factors including soil moisture and temperature and by the amount of nitrate lost to leaching (Hazzard and Howell, 2014). For example, increased leaching loss of NO₃ in early 2013 could explain the later peak in inorganic N levels: in June 2013, two precipitation events over 40 mm were recorded at a nearby weather station, whereas there were no precipitation events over 40 mm in June of 2014 (data not presented). The elevated inorganic N levels in control plots could be potentially explained by the mineralization of existing organic N from soil OM and previous crops (including winter cover crop).

For sampling dates beginning 24 June 2013 and 4 Aug. 2014, plots amended with FW, MS, and GW (2013 only) had significantly higher inorganic N levels compared with the control for at least some sampling dates and crops (Table 5). Plots amended with MS did not have significantly higher inorganic N levels, compared with the control plots, until 30 Sept. 2013 and 6 Oct. 2014 sampling events, later than GW (2013 only) and FW. Whereas these results indicate that FW, MS, and GW have potential for high first-year N availability, MS may provide a slower release of inorganic N than GW and FW. A possible explanation for the earlier release of inorganic N from FW and GW could be that, unlike BS, MS, and YW, these wastes had not undergone composting, which leaves behind organic compounds more resistant to breakdown and therefore were more easily and quickly broken down by soil microorganisms (Bernal et al., 1998; De Neve et al., 2003).

Conversely, inorganic N levels in plots amended with BS, PF, and YW were never significantly higher than the control, despite higher N application rates, indicating particularly low levels of N availability for these wastes. Furthermore, inorganic N levels in plots amended with PF were never significantly different from YW (Table 5). This was despite a higher N application rate in YW plots compared with PF plots (Table 1) and a C:N ratio for YW (13:1) vs. PF (51 to 66:1) that is more conducive to N mineralization, which suggests that C:N ratio alone is not a reliable indicator of N availability from these wastes.

Whereas C:N ratio has often been relied on as an indicator of potential N availability, N mineralization is also related to factors not represented by this ratio, such as the type of carbon compounds, alkyl-C content, water-soluble organic N, and uric acid content of a material (Cabrera et al., 2005). Although pH and salinity can affect N mineralization, YW did not have an exceptional pH (6.5–6.7) or high salinity (1.8–4.0 dS·m⁻¹) (Table 2). Slightly higher heavy-metal levels, particularly Pb and As, were present in YW compared with the other wastes, and heavy metals have been shown to both increase and decrease N mineralization (Cabrera et al., 2005).

Potentially mineralizable nitrogen is a measure of the organic N that is mineralized to NH₄ during a 7-d incubation of saturated soil and takes into account immobilization caused by excess C (Gugino et al., 2009). In 2013, significant differences in PMN values between control and waste-amended plots were rare (Table 6). Only plots amended with GW had significantly higher PMN values than control plots, likely due to the high rate of N application in GW amended plots (Table 1). In 2014, there were no significant differences in PMN between any treatments for 11 of the 18 sampling events. When there were significant differences, some or all of the waste-amended plots had significantly higher PMN values than the control plots.

Table 6.

Mean values of potentially mineralizable nitrogen (PMN) for sweet corn, potato, and butternut squash plots in 2013 and 2014 (four replicates). Soil amendments were applied before first sampling date in 2013 and reapplied on 20 May 2014. Means separation by Fisher’s least significant difference. Treatments within a row with the same letter were not significantly different (P < 0.05). All crops and sampling dates were analyzed separately.

View Table

Because PMN represents mineralizable organic N, it was expected that waste-amended plots, which received organic N, would have higher soil PMN than control plots, which did not receive organic N. However, we did not see evidence of this for most wastes (except GW) until the second season of the study and even then results were inconsistent. Our results show that organic waste amendments can increase PMN values in comparison with a mineral fertilizer control, although high organic N application rates and more than one season of application may be necessary to achieve this.

Because PMN is the difference in soil levels of NH₄ between the beginning and end of a 7-d incubation, it is possible to have negative PMN values if less NH₄ is present in the soil at the end of the incubation. Negative PMN values were observed for all waste amendments and the control at some point during the study. The lowest PMN values were observed in June of 2014 in corn and potato control plots (−26.0 and −26.8 μg N/g soil) and BS amended plots (−12.0 and −19.3 μg N/g soil).

Negative PMN values could be due to higher gross rates of immobilization than mineralization of inorganic N during incubation. This would be expected for control plots because no organic N was added, and recent tillage likely accelerated decomposition by breaking down plant residue in the soil and increasing microbial access to oxygen, causing soil microbes to immobilize some of the inorganic N present. One possible cause of negative PMN values in plots amended with BS could have been the maturity of the compost, if it had not finished actively composting at the time of application. Bernal et al. (1998) found that the initial mixture of raw sewage sludge and cotton waste caused the most immobilization when added to soil; once the materials had reached the end of the active phase of composting, the period of immobilization was shorter (2 d), and mature compost did not cause any immobilization.

Crop yield.

Applied without supplemental fertilizer, BS, FW, and GW produced yields that were either comparable (not significantly different) or significantly higher than the control for all crops and cultivars in 2013 and 2014 (Table 7). However, plots amended with MS, PF, and YW produced significantly less ‘Applause’ sweet corn and butternut squash in 2014 compared with the control. In addition, MS produced significantly less ‘Montauk’ sweet corn in 2014 compared with the control. Yields from plots amended with PF, YW, and MS were not significantly different from the control for all other crops and years.

Table 7.

Mean sweet corn, butternut squash, and potato yield for 2013 and 2014 (four replicates). Treatments with same letter within each column were not significantly different (P < 0.05). Cultivars, crops, and years were analyzed separately.

View Table

Compared with the control, sweet corn and squash from plots amended with YW, PF, and MS received equivalent or higher rates of N, P, and K (Table 1). The exception was PF, which received ≈30 kg-P/ha, which was less than the control (49 kg-P/ha) but higher than the recommended rate for sweet corn and butternut squash of 20 kg-P/ha (Hazzard and Howell, 2014). Despite higher application rates, N applied to waste-amended plots was primarily in the organic form and required mineralization before it was available to plants. It is possible that N in YW, PF, and MS amended plots did not mineralize in time to be available at the appropriate growth stages for sweet corn and squash and was therefore responsible for reduced yields.

Tissue levels of nutrients did not reveal a likely cause for reduced yields (data not presented). Critical nutrient levels (the lower limit for adequate growth) were based on Maynard and Hochmuth (2007) for pumpkins (most recent mature leaf, 8 weeks after seeding), sweet corn (most recent mature leaf, just before tasseling), and potatoes (most recent mature leaf, first blossom stage). These levels represent the closest approximation for the stage of maturity at which tissue samples were taken. Although levels of N, P, Ca, Mg, Mo, Cu, and Fe were sufficient for all crops and years tested, some or all treatments showed deficiencies of K, Mn, B, and Zn (data not presented). However, even when treatments with lower yields showed deficient nutrient levels, these levels were not significantly different from those of the control.

Crop growth and quality.

Plots amended with PF had significantly lower emergence of potatoes than the control in 2014 (80% vs. 93%) and produced significantly shorter plants in 2013 (7.6 vs. 12.6 cm) and 2014 (35.0 vs. 44.4 cm). In addition, potato plants from plots amended with FW (2014), GW (2014), and YW (2013 and 2014) were significantly shorter than the control (data not presented). However, there were no significant differences in emergence of sweet corn or squash in 2014, and no wastes had significantly shorter sweet corn plants than the control in 2013 or 2014. Significant differences may have been seen in potatoes but not sweet corn or squash because of the earlier planting date of potatoes.

Potatoes harvested from plots amended with PF were of significantly better quality than the control in 2014, e.g., a higher proportion of firsts and fewer seconds (Fig. 1). This was in spite of an overall drop in quality in 2014, when all treatments yielded a lower proportion of firsts and higher proportion of seconds compared with 2013, because of increased incidence of disease and pests. Amendment with noncomposted paper fiber may have contributed to lower disease, pest pressure, or both. Others have reported suppression of Rhizoctonia solani and snap bean root rot (Pythium spp. and Aphanomyces euteiches) after amendment with both composted and raw paper fiber (Croteau and Zibilske, 1998; Rotenberg et al., 2007). However, while amendment with composted paper fiber reduced symptoms of bacterial speck (Pseudomonas syringae pv. tomato) in tomatoes (Solanum lycopersicum L.) and thale cress (Arabidopsis thaliana L.), noncomposted paper fiber did not (Vallad et al., 2003).

Mean potato quality, measured as the fraction (by weight) of total harvest that were firsts (marketable), seconds (potentially usable for secondary market-like processing), and culls for plots in 2013 and 2014 (four replicates). Means separation by Fisher’s least significant difference. Treatments with the same letter were not significantly different (P < 0.05). Each year and category were analyzed separately. BS = biosolids/yard waste cocompost; CN = mineral fertilizer control; FW = dehydrated food waste; GW = gelatin waste; MS = multisource compost; PF = paper fiber/chicken manure; YW = yard waste compost.

Citation: HortScience 52, 6; 10.21273/HORTSCI11354-16

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Mean potato quality, measured as the fraction (by weight) of total harvest that were firsts (marketable), seconds (potentially usable for secondary market-like processing), and culls for plots in 2013 and 2014 (four replicates). Means separation by Fisher’s least significant difference. Treatments with the same letter were not significantly different (P < 0.05). Each year and category were analyzed separately. BS = biosolids/yard waste cocompost; CN = mineral fertilizer control; FW = dehydrated food waste; GW = gelatin waste; MS = multisource compost; PF = paper fiber/chicken manure; YW = yard waste compost.

Citation: HortScience 52, 6; 10.21273/HORTSCI11354-16

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Mean potato quality, measured as the fraction (by weight) of total harvest that were firsts (marketable), seconds (potentially usable for secondary market-like processing), and culls for plots in 2013 and 2014 (four replicates). Means separation by Fisher’s least significant difference. Treatments with the same letter were not significantly different (P < 0.05). Each year and category were analyzed separately. BS = biosolids/yard waste cocompost; CN = mineral fertilizer control; FW = dehydrated food waste; GW = gelatin waste; MS = multisource compost; PF = paper fiber/chicken manure; YW = yard waste compost.

Citation: HortScience 52, 6; 10.21273/HORTSCI11354-16

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Feasibility.

Although some waste streams are widely available to farmers for use as amendments (yard waste, food scraps, and biosolids), others are more specific to the areas that house industry (gelatin waste and paper fiber). The cost of transporting wastes to farms would make locally available sources the most economical. The composition of waste amendments in this study varied, demonstrating that it would be beneficial for farmers to calculate the cost not only per weight or volume of waste but also based on their desired nutrient (N, P, K etc.) or benefit (C to build OM or liming equivalency) when choosing between different wastes. Many of the wastes in this study could be spread with a box-type manure spreader without further processing after delivery, making spreading accessible without specialized equipment.