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a Dep. Crop and Soil Sciences, 201 Johnson Hall, Washington State Univ., Pullman, WA 99164-6420 USA
b USDA-ARS, Land Management and Water Conservation Research Unit, 215 Johnson Hall, Washington State Univ., P.O. Box 64621, Pullman, WA 99164-6421 USA
lcboggs{at}morris.ars.usda.gov
| ABSTRACT |
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Abbreviations: FAME, fatty acid methyl ester HSD, Tukey's honestly significant difference PC, principal component PCA, principal component analysis MinC, mineralized C qCO2, metabolic quotient of respiration per unit biomass SIR, substrate induced respiration TBME, tert-butyl methyl ether
| INTRODUCTION |
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Biodynamic farming is a type of organic farming and has many similarities to other organic farming systems, including a reliance on organic fertilizers. Biodynamic agriculture differs from traditional organic systems primarily in the use of fermented preparations in compost and as field sprays. These unique preparations (Table 1) consist of specific minerals or plants treated or fermented with animal organs, water, and/or soil (Steiner, 1974). The preparations were developed to improve soil and crop quality and hasten composting (Koepf et al., 1976). Six preparations (numbered 502507) were applied to compost piles and three more preparations (500, 501, and 508) were applied directly to soil or crops as field sprays. Their primary purpose was not to add nutrients, but to stimulate the processes of nutrient and energy cycling (Koepf et al., 1976). If the preparations affect nutrient cycling, they may have their effect via soil microorganisms that mediate many nutrient transformations. The aim of this work was to test biodynamically prepared compost and the field spray preparations for effects on soil biotic parameters and to compare the effects of biodynamic soil management with the effects of organic fertilization with dairy compost.
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Generally studies have found that biodynamically farmed soils have better soil quality than conventionally farmed soils (Reganold, 1995). Fertilization with biodynamic compost can result in more organic C and N, dehydrogenase activity, biomass, and a higher dehydrogenase/biomass ratio than fertilization with chemical fertilizer or nonbiodynamic compost (Abele, 1976). Goldstein (1986) found that biodynamically managed plots had more organic matter, microbial biomass, and respiration than conventional or organic systems. In the DOC (bio-Dynamic, Organic, Conventional) plots maintained in Therwil, Switzerland, since 1978, biodynamically managed plots had greater microbial biomass even than the organic plots, while biodynamic and organic plots both had greater microbial activity (basal respiration and dehydrogenase activity) than conventional, mineral-fertilized, or unfertilized plots (Mäder et al., 1995). In an ongoing study, Penfold et al. (1995) found that biodynamic management resulted in lower extractable P than conventional or organic management systems. However, in this and many other studies the level of fertilization differed among systems, which probably affected the results.
In on-farm studies, biodynamically managed fields had more soil organic matter, protozoans, and nematodes, and greater respiration and enzyme activities than neighboring conventionally managed mineral-fertilized fields (Foissner, 1987). Commercial biodynamic farms were found as financially viable as neighboring conventional farms, while arguably maintaining greater soil quality (Reganold et al., 1993). Specifically, soils in biodynamically managed fields had lower bulk density, more total C, more respiration, more mineralizable N, a higher ratio of mineralizable N to C, and thicker topsoil than neighboring conventional field soils (Reganold, 1994). Droogers and Bouma (1996) found no significant differences between biodynamic and conventionally managed arable fields in directly measured soil physical parameters, but simulated crop yields were significantly greater from biodynamic fields because of improved soil structure and better water relations.
In companion studies, we found that Biodynamic Preparations 502 to 507 altered the microbial community phospholipid fatty acid makeup of compost and raised the temperature of composting dairy manure and bedding by an average of 3.4°C during an 8-wk development period (Carpenter-Boggs et al., 2000b). In short-term field trials, there were no differences in crop yield, crop quality, or soil fertility between plots fertilized with biodynamic or nonbiodynamic compost. Use of Biodynamic Sprays 500, 501, and 508 was correlated with higher yield of lentil (Lens culinaris Medikus) per unit plant biomass, lower C and crude protein contents in lentil, higher NO-3 content in soft white spring wheat (Triticum aestivum L.), and greater NH+4 concentration in soil (Carpenter-Boggs et al., 2000a). On established biodynamic farms and neighboring conventional farms, 10-d soil respiration (MinC) and dehydrogenase enzyme activity were greater in biodynamically managed soils (Carpenter-Boggs, 1997).
The objective of this study was to determine whether biodynamic soil management affected soil biotic biomass, activity, or community fatty acid methyl ester (FAME) profiles. In studying biodynamics, the effects of the unique biodynamic preparations themselves must be separated from other management factors, such as additions of organic matter to the soil, that biodynamic management has in common with organic management. Therefore, a second objective of this study was to determine whether effects of biodynamic management differed from the effects of organic soil management. This study was unique because it differentiated the effects of biodynamic field sprays and compost preparations from the nutritional or biological effects of mineral or organic fertilization. The hypothesis to be tested was that the biodynamic preparations affect soil biotic parameters in the Palouse region of eastern Washington.
| Materials and methods |
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1 L soil for each hole. In total,
19 g of moist weight of preparations were added to
3.5 Mg of compost material. In order to keep nonpreparation factors constant among treatments, control composts also received additions of
6 L of Palouse series field soil and 8 L of well water, applied similarly as in biodynamic piles but without the biodynamic preparations. Six-month-old composts were applied to field plots in April of 1995 and 1996 prior to tillage. Final compost C/N ratio was 30:1 in 1995 and 31:1 in 1996. Biodynamic Field Sprays 500, 501, and 508 were each applied once during each field season to the appropriate plots using JPI product instructions. One packaged unit of Preparations 500, 501, and 508 (Table 1), containing 38, 1.8, and 40 g moist weight, respectively, were applied as fine aqueous sprays in 11, 11, and 8 L of water, respectively, to the total biodynamic-sprayed plot area of 595 m2. Final application rates were 64, 3, and 67 mg preparation m-2, respectively, and 18, 18, and 13 mL water m-2, respectively. Plots not receiving the biodynamic sprays were sprayed with a similar amount of well water.
Fertilizers were applied to plots each spring before rototilling and planting. Nutrient application levels were designed to meet the N needs of each year's crop (1995, `Brewer' lentil; 1996, `Penewawa' spring wheat) and meet or exceed needs of P and K, according to soil tests and university fertilization bulletins (Morrison et al., 1982; Murray et al., 1987). Estimated N availability from composts was used as the primary determinant of fertilization level. Because compost C/N ratio was 30:1 in 1995 and 31:1 in 1996, and because of the relatively high lignin content of pine shavings still visible in the compost, net N mineralization during the first growing season after application was expected to be low. Using measurements of total and soluble N, C/N ratio, and previous findings (Castellanos and Pratt, 1981; Vigil and Kissel, 1991; Hadas and Portnoy, 1994) relating these factors and material origin to N mineralization, it was estimated that all soluble N (
7% of total N) was available to crops in the first growing season after application, with an additional 5% of total compost N available to the second crop after application. Sodium carbonate-extractable P and K in compost was assumed fully available (Rynk, 1992). Dry commercial NH4NO3, NH4H2PO4, and KCl were applied at rates of 38, 22, and 48 kg ha-1, respectively, in 1995 and 82, 18.5, and 126 kg ha-1, respectively, in 1996 to equal N, P, and K available in compost treatments (Table 4) .
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Soil Analyses
Soils were sampled just prior to harvest and stored at 4°C. Six subsamples per plot were collected to a depth of 15 cm and pooled. All samples were brought to 0.225 kg kg-1 moisture (approximately -45 kPa) prior to storage or laboratory testing, and materials >2 mm were removed. Dehydrogenase was measured using a colorimetric procedure involving reduction of triphenyl tetrazolium chloride to triphenyl formazan (Tabatabai, 1994). Reduced products were extracted with methanol, centrifuged, and the supernatant's absorbance was read at 492 nm with a Bio-Rad Model 2550 EIA Reader (Bio-Rad, Hercules, CA). For soil respiration tests, moist soil (10-g dry weight equivalent) was placed into vials, capped with septa, and incubated 10 d at 22°C in darkness. After 10 d, the total CO2 was measured using a Hewlett-Packard 5730A gas chromatograph (Zibilske, 1994) to give the 10-d MinC (Davidson et al., 1987). Then 0.5 mL of distilled water was added, vials were capped and incubated at 22°C for 3 h, and CO2 was measured again to determine basal respiration. Substrate induced respiration (SIR) was subsequently measured using the same soil samples. After samples rested overnight, 0.5 mL of 30 g L-1 aqueous solution of glucose was added, for a concentration of 1.5 mg glucose g-1 soil. Vials were capped for 3 h, and CO2 measured again. Substrate induced respiration in microliters CO2 per gram soil per hour x 40.4 + 0.37 estimates micrograms microbial biomass C per gram soil (Anderson and Domsch, 1978). Earthworm populations were estimated by collecting and hand-sifting four 15-cm-deep, 15-cm-diam. soil cores (at
0.20 kg kg-1 field moisture content, or approximately -50 kPa) per plot in May 1996. After collection, earthworms were weighed to determine biomass.
Fatty acids were extracted from whole 1-g soil samples taken just prior to harvest in 1996, using the procedure of Microbial ID, Inc. (1992). Samples were saponified with 150 g L-1 NaOH in 1:1 methanol/water, methylated in acidified methanol, extracted with 1:1 hexane/tert-butyl methyl ether (TBME), and washed with dilute NaOH. The organic phase was removed, evaporated, and redissolved in a known volume (usually 200
L) of hexane and TBME. Fatty acid methyl esters in samples were separated using a gas chromatograph (5890 GC Series II, Hewlett Packard, Wilmington, DE) equipped with a 25 by 0.2 mm fused silica capillary column and flame ionization detector. Seventy-six FAMEs with chain lengths of 10 to 20 C atoms were identified and quantified using the Eukary software and standard solutions from Microbial Identification Inc. (MIDI, Newark, DE).
Statistical Analyses
Statistical comparisons were made using the General Linear Model in SAS (SAS Institute, 1988). Means were separated using Tukey's honestly significant difference (HSD) test. Linear contrasts were used to compare groups of treatments. The contrast "compost vs. no compost" compares the average of Treatments 5 through 8 with the average of Treatments 1 through 4; "compost vs. mineral" compares Treatments 5 through 8 with Treatments 3 and 4; "organic vs. biodynamic" compares Treatment 5 through 8; "any fertilizer vs. no fertilizer" compares Treatments 3 through 8 with Treatments 1 and 2 (Table 2). Data set for total earthworm biomass did not fulfill the assumptions of parametric statistics and was transformed using (x + 1)0.5 (Snedecor and Cochran, 1989).
Soil FAME profiles were subjected to principal component analysis (PCA), to combine the information of many FAMEs into a few principal components (PCs) (Pielou, 1984). Area percentage of all gas chromatographic peaks identified as FAMEs with chain lengths of 10 to 20 carbons were used as initial data. Each year, a subset of FAMEs was chosen for PCA using a preliminary round of PCA to determine which FAMEs significantly affected total profile variability at that sampling. Only FAMEs with a loading value >|0.5| (17 fatty acids in 1995, 18 in 1996) were used in the final PCA. A separate PCA was performed on all FAME data each year. Resulting PC values were then used in GLM procedures, HSD tests, and contrasts as described above.
Treatment differences were considered significant at P values
0.10. All P values
0.05 and
0.10 are explicitly stated for the reader's consideration. Interactions between fertilizer and spray treatments are not discussed because none was statistically significant. In both years of the study, significant interaction between treatment and farm site in FAME PC1 led to subsequent analysis of variance of those values within each farm site.
| Results and discussion |
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, and had more MinC than noncompost plot soils (Table 5)
. In 1996, dehydrogenase activity, SIR, respiration, and MinC were all greater in plots receiving compost (Table 6) . Compost may supply an additional source of labile C and other nutrients to the soil for microbial growth and activity. None of these parameters was different when comparing biodynamic and nonbiodynamic compost, nor when comparing organic and biodynamic managements (Treatments 5 and 8, respectively) (Table 3).
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Maximum respiration response upon addition of substrate (SIR) is proportional to the size of the living microbial biomass (Anderson and Domsch, 1978). However, the respiration response can also be affected by growth phase (Anderson and Domsch, 1978) and soil mineral nutrition (Sparling et al., 1981; Smith et al., 1985). The SIR method may also be used as a measure of soil community metabolic response to added substrate, without inference to soil microbial biomass.
Data gained by SIR may be more informative when viewed in relation to other factors such as basal respiration (qCO2) (Anderson, 1994). The metabolic quotient of respiration per unit biomass (qCO2) represents C flow through microbial biomass, that is, the energy needed to support a given biomass. A high qCO2 is common in communities in initial stages of development and in communities with a large ratio of active to dormant biomass (Anderson, 1994). Less favorable soil conditions such as acidic pH can also increase qCO2 by increasing metabolic stress (Anderson and Domsch, 1993). Compost-fertilized plots had high qCO2 in 1996 (Table 6), suggesting a microbial biomass with high energy requirement. This could reflect the presence of a growing microbial community, a community under metabolic stress, or a greater proportion of active to dormant microbial biomass in compost-amended soils.
In 1995 compost-fertilized plots had a lower SIR/MinC than mineral-fertilized plots (
, Table 5), and in 1996 compost-amended plots had lower SIR/MinC than either noncompost treatment (Table 6). This lower ratio of microbial biomass to available C may indicate lower efficiency of substrate utilization or that microbial biomass in compost-fertilized soils was limited by something other than available C. It should be noted that increased qCO2 and decreased SIR/MinC could have resulted from an underestimation of the microbial biomass (SIR) in compost-amended soils relative to noncompost soils. The microbial decomposition of glucose leading to maximal respiration in SIR depends on many factors, including the balance of available C with available N and other nutrients (Chahal and Wagner, 1965). Addition of glucose alone will cause maximal respiration from a given biomass only when available C alone limits microbial activity (Smith et al., 1985). A high MinC combined with low SIR/MinC ratio suggests that readily available C is relatively abundant in compost-fertilized soils, and addition of more labile C as glucose does not induce a proportionate increase in respiration compared with noncompost soils. A lower SIR/MinC in compost-amended plots may suggest that available C limited microbial activity more so in mineral-fertilized and unfertilized plots than in compost-fertilized plots.
Earthworms were more abundant in compost-fertilized plots, especially in plots receiving nonbiodynamic compost (Table 7)
. Earthworm population and biomass were greater in compost-fertilized plots than noncompost plots. The weight of individual earthworms was similar among mineral- and compost-fertilized plots, but lower in unfertilized plots
. Pfiffner et al. (1995) found more earthworms under organic than biodynamic management, and fewest in mineral-fertilized or unfertilized plots. Earthworm populations and development are affected by both the quantity (Satchell, 1967) and quality (Lofs-Holmin, 1983) of food source. Partially decomposed material such as compost supports rapid growth of earthworms (Bostrom, 1987). Compost probably supplied an additional food source via the compost material itself and the microbial community within the compost.
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Fatty Acids
Fatty acid profiles can be used as a fingerprint of microbial community structure (Turco et al., 1994). Whole soil FAME profiles have been used to identify differences in microbial community due to taxonomic makeup (Haack et al., 1994), management system, and sampling date (Buyer and Drinkwater, 1997).
Three PCs described 78% of the variance among the 1995 soil samples and 68% of the variance among the 1996 soil samples. Fatty acids contributing the most to total FAME variability were used in PCA each year (Table 8) , so that these FAMEs are not the same from year to year, and PCs cannot be directly compared across years. A sample's rank in any PC only describes differences among samples and does not imply more or less microbial biomass or other general merit.
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and PC3
(Fig. 1) . Principal Component 2 was related only to replicate blocks, which separated landscape positions
(data not shown). Biodynamically sprayed plots ranked differently than unsprayed plots in PC1 on both the Spillman farm
and on the Palouse farm
(Fig. 1). Soil FAME profiles did not differentiate fertilizer treatments in 1995 (data not shown).
In 1996, FAME profiles differentiated samples by fertilization as well as by farm. Principal Component 1 differentiated between the two farm sites
(Fig. 2)
. Principal Component 3 differentiated among soil samples under different fertilization
. Plots fertilized with biodynamic compost ranked highest in PC3, followed by plots receiving nonbiodynamic compost, mineral fertilizer, and no fertilizer. Statistically, noncompost plots were similar and compost plots were similar, but plots receiving either type of compost ranked higher in PC3 than plots receiving no compost
. The biodynamic field sprays affected PC1 only on the Palouse farm in 1996
(data not shown).
Fatty acid analysis thus indicated that soil communities were affected more by sample location (farm site and landscape position) than by the applied treatments. Effects of fertilization on the soil community FAMEs were apparent by the second year of the study. Compost-fertilized plots were distinguishable from mineral-fertilized and unfertilized plots, but FAMEs did not differentiate biodynamic and nonbiodynamic compost-fertilized plots and gave only weak indication of an effect of the biodynamic sprays.
| Conclusions |
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These data support earlier findings that organic fertilization rapidly benefits soil microbial biomass and activity, but provide few indications that the biodynamic compost and field sprays further affect soil microbial biomass, community structure, or activity in the short term. Although it is beyond the scope of this study to address possible effects of long-term use of the biodynamic preparations, in the short term it appears that benefits to soil quality from the biodynamic farming system are primarily due to the use of organic fertilization.Microbial ID Inc 1992
| ACKNOWLEDGMENTS |
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| NOTES |
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1 Trade names and company names are included for the benefit of the reader and do not imply endorsement or preferential treatment of the product by the USDA. ![]()
Received for publication August 12, 1999.
| REFERENCES |
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